SlideShare una empresa de Scribd logo
1 de 9
Descargar para leer sin conexión
AMMONIA AND HYDROGEN EMISSIONS
FROM AN INDUSTRIAL WASTE
LANDFILL: A CASE STUDY

J. FELIUBADALÓ

Entitat Metropolitana de Serveis Hidràulics i Tractament de Residus, C/ 62,
nº 16 - 18, Ed. B, 08040 Barcelona, Spain.


SUMMARY: Emissions from IW of gases other than methane an carbon dioxide are until now not
studied as in MSW landfills are. This paper deals with the origin, monitoring, temporal evolution and
mathematical modelization of ammonia and hydrogen emissions from a IW landfill. Melting salts from a
recycled aluminium metallurgical process, among some other kinds of waste, compose the landfilled
mass.


1. INTRODUCTION

Emissions of MSW landfills are currently a well-known subject, in terms of quality (range of major:
methane and carbon dioxide, and minor compounds) and in terms of quantity, rate and temporal
evolution of these parameters.
   Related to mono-industrial waste landfills, a lack of data is found, perhaps due to the relative
scarceness of this kind of facilities and also to the extreme diversity of industrial substances disposed in
them.
   Because of a number of reasons (Relea et al., 1995), the Authorities in waste management of the
Metropolitan Area of Barcelona have been applying historically an splitting strategy between wastes of
diverse origins. This strategy is currently being incorporated into Spanish and European regulations on
waste landfilling.
   Moreover, these Authorities have played a role of substitution of private initiative when the industrial
waste management was not technically and economically attractive for it. In this context, at the last
1980's, the EMSHTR established and operated for about seven years an industrial waste landfill in a
ancient clay quarry at Cerdanyola (a village about 15 Km at the North-West from Barcelona). The
extremely low values of hydraulic conductivity of the clay (even below 10-11 m.s-1) made it specially
suitable for that purpose. This landfill was located about 2 Km at the East from that referred by the
same authors (op. cit.).
   In principle, the landfill was established for a single industrial waste: the melting salts from recycled
aluminium metallurgical process. Further, some other kinds of waste were also disposed there, namely
non-special general industrial waste, industrial sewage sludge from the treatment of
brine destined to electrolytic production of chlorine and caustic soda, and polluted soils from an ancient
chemicals plant at a nearly Barcelona borough.
   The approximate amounts and percentages of every kind of waste are summarized in Table 1.

Table 1 - Amounts and kinds of landfilled waste

                               Kind of waste                    Amount, t     Percentage

                Melting salts                                 118.000         18,4
                Industrial sewage sludge                       77.000         12,0
                Polluted soils                                  7.000          1,2
                Non-special general industrial waste          440.000         68,5
                Total                                         642.000        100,0


2. ORIGIN AND CHEMICAL FEATURES OF MELTING SALTS

The metallurgical process mentioned above lies basically in the melting, in a chemically reducing
atmosphere, of a mixture of aluminium recycled goods and melting salts (almost all sodium and
potassium natural chlorides). Molten salts float over the molten aluminiun, protecting it from oxydation
and absorbing in its mass most of the aluminium impurities.
    As a result of this process, and specially due to the reducing character of the atmosphere in which it
takes place, in the residual salts is present a certain amount (2 - 3%) of metallic aluminium, besides with
some other by-products: aluminium nitrides, hydrides and sulphides, formed by the reaction of this
element with nitrogen and hydrogen, both present at the reducing atmosphere, and by the reaction of it
and of salts alkaline metals with the sulphur compounds usually present at the fuel used for the melting
process.
    The overall chemical reactions describing these processes can be summarized, respectively, as
follows:

                                        2 Al + N2 ???> 2 AlN

                                        2 Al + 3 H2 ???> 2 AlH3

                                                                      +
                     3 S + 2 Al ???> S3Al2        and       S + 2 Na ???> SNa2

If waste salts are put in contact with water, these componds react with it, giving aluminium and sodium
hydroxides and, respectively, ammonia, hydrogen and hydrogen sulphide, probably according to the
following reactions:

                                 AlN + 3 H2O ???> NH3 + Al(OH)3

                                 AlH3 + 3 H2O ???> 3 H2 + Al(OH)3

   S3Al2 + 6 H2O <???> 3SH2 + 2Al(OH)3,             and       SNa2 + 2 H2O<???> SH2 + 2 NaOH
As it can be seen, in all cases these processes give some alkaline or amphoteric solid compounds
besides with three kinds of gases, all of them with a negative environmental impact due to various
reasons: toxicity and corrosivity in the case of ammonia, explosiveness in that of hydrogen, and
   toxicity in that of hydrogen sulphide. By the way, it is worth to point up that the alkalinity of sewage
   sludge disposed together with the casting salts contributes to the stabilization of the alkaline compunds
   formed.
      In the other hand, levels of hydrogen sulphide were found neglectable when compared with those of
   ammonia and hydrogen. Therefore, it was decided to monitorize only the last two, whose levels were in
   the range of percentages, whereas that of hydrogen sulphide was in the range of mg/m3.


   3. SAMPLING AND ANALYSIS METHODS AND PERIODICITY OF SAMPLING

   3.1. Sampling and analysis methods

   Ammonia, because of its chemical properties, which made impossible its instrumental analysis, was
   collected and analyzed by a “classical” method: chemical absorption in sulphuric acid and colorimetric
   dosing by Nessler method. Sampling was performed by means a "train" of three maxi-impigers, the first
   two filled with H2SO4 0,1N and the third, empty, acting as a trap. Gas to be sampled was forced trough
   the train by a peristaltic air pump.
      Hydrogen was analyzed at a laboratory by an instrumental method (gas cromatograpy). So, its
   sampling lay just in the collection in an hermetic poliethylene bag by means of an air pump.

   3.3. Periodicity of samplings and unit of time

   It has been performed a total of 22 samplings and subsequent analysis, distributed about evenly in time,
   between February 1995 (just after the cessation of landfilling), and March 1998, when concentrations
   of both gases dropped below worrying levels. Although intervals between samplings are not exactly
   equal, in the following they will be considered as constant, in order to simplify calculations and graphics.
   Consequently, the time unit used will be that interval, and calculations will be done on that basis. An
   elemental calculation gives that the equivalence factor with year is 6,6316 samplings per year.




   4. RESULTS

   Results of the entire series of ammonia and hydrogen analysis are presented together at Figure 1, in
   order to highlight the appoximately parallel temporal evolution of concentrations of both gases (note that
   those of hydrogen have been reduced by a factor of 10).
      The most appealing feature of both evolutions is, undoubtedly, the abrupt rising they show at the 11th
   sampling. As it will be discussed further, both evolutions could be approached quite accurately by a first
   order decay mathematical model, but that describing the evolution until that point fails to be valid from it.
   However, the remaining part of both evolutions can be described with about the same accuracy as well
   by another first-order decay equation or, more precisely, by an equation of the same kind that the first
   but with other parameters.
As it can be seen in Figure 1, the degree of parallelism of the evolutions of ammonia and hydrogen
   allows the description of both phenomena by the same kind of mathematical model, as explained at
   Chapter 6.

                           0,8
   Concentrations, % v/v




                           0,7
                           0,6
                           0,5                                                     Ammonia conc.
                           0,4                                                     Hydrogen conc./10
                           0,3
                           0,2
                           0,1
                             0
                                 0
                                     2

                                         4
                                             6
                                                 8

                                                     10
                                                          12
                                                               14

                                                                    16
                                                                         18
                                                                              20
                                                 Sampling nº

Figure 1. Evolution of ammonia and hydrogen concentrations by volume.


5. DISCUSSION OF RESULTS

Looking for an explanation for the abrupt rising of concentrations described above, and having
considered that the rising is not attributable to any landfilling of materials (since it had completely ceased
before the beginning of sampling) nor to ambient temperature (since the rising has not a seasonal -
depending pattern), the sole one that appeared to be reasonable was the dependence of water
infiltration. In spite of the quality of landfill capping performed (1 m. of clay, 0,20 m. of draining inert
material and 0,80 m. of topsoil), it appears obvious that any amount of rainfall and runoff water can
reach the melting salts and re-enhance the production of ammonia and hydrogen accordingly to
processes described at Chapter 2.
    This assumption about water intrusion into landfill body s corroborated by the fact that even at
                                                                       i
present, that is, four years after the closure, there is still a certain production of leachate.
    Moreover, the parallelism of evolutions of ammonia and hydrogen pointed at Chapter 4, strongly
suggests a common cause for the rising of both concentrations.
    So, in order to investigate the influence of water intrusion, it has being plotted (see Figure 2) the
evolution of rainfall (directly measured in place) during the sampling period. The comparison of its
profile with that of concentrations shows that:

• It occurs a first strong peak of rainfall between samplings 6 and 10, with a total of 368 l/m2, whereas
  the rising of concentrations occurs at sampling 11, that is, a few months later.
• A second important peak of rainfall occurs between samplings 17 and 20, with a total of 382 l/m2.
  In opposition to the precedent, this peak has no correspondence with any one of concentration
  evolution.

These facts would be consistent with the explanation of, whereas at the time af first rainfall peak there
was still any amount of aluminium hydrides and nitrides to react with water and so produce enough
ammonia and hydrogen to give a noticeable peak in its evolution, by the time of second rainfall peak,
these substances were already exhausted, and thus, it does not occur a second evolution peak.



                       140
                       120
      Rainfall, l/m2




                       100
                        80
                        60
                        40
                        20
                         0
                             0

                                 2

                                     4

                                         6

                                                 8

                                                         10

                                                                    12

                                                                          14

                                                                                  16

                                                                                          18

                                                                                                   20
                                                      Sampling nº

   Figure 2. Evolution of rainfall.




   6. MATHEMATICAL MODELS

   6.1. General

   Like in municipal organic solid waste (Coops et al, 1995), the kinetics of the reaction of aluminium
   nitrides and hydrides with water to give aluminium hydroxide and, respectively, ammonia and hydrogen
   can be described, whit more or less accuracy, by mathematical models based on equations depending
   on the kinetic order of reactions taking place.
       Since in the case in study reactions are at least bimolecular, the models should be of second or even
   further orders (Babor and Ibarz, 1962).
       Nevertheless, second and further orders models are very difficult to apply in practice, and so its
   practical usefulness is limited; so, in this case it was taken a first order model, that is, one giving a
   negative exponential profile for the reaction rate or, correspondingly, for concentrations of both gases.
       First order models are, as it is well-known, based on the following general equation:

                                                              -kt
                                                Ct = C0* e                (1)

   where Ct is the concentration at the instant t, C0 that of the initial instant and k is the velocity constant of
   the process.
      The last is related with Ct and C0 by the equation

                                         k = (1/t) * ln (C 0/Ct )        (2)

   Thus, to know C0 and Ct gives the value of k or, in other words, completely determines the equation or
   equations ruling the mathematical model. Therefore, for the complete determination of a first order
equation, it is sufficient to have the initial value of concentration (C0) and its value after a known time t
   (C t ). It is easy to demonstrate that equation (2) can be generalized to any pair of values of t:

                                    k = 1/(t2-t1) * ln (C1/C2)          (3)

If, as in this case, one looks for the modelization of a set of empirical data, these values of C might be
chosen so as to positive and negative errors of model were approximately compensated, in order to
maximize the accuracy of it. This can require a number of trials.
    Moreover, in this case, the special feature of the set of values reported in Chapter 5 leads to the
need of two equations, the first describing the evolution before the secondary peak reported there and
the second accounting for the remainder of the obtained values. It is worth to point here that this
procedure has an evident physical interpretation. In effect, the overall phenomenon can be described in
terms of the succession of two approximately exponential decay processes, the second of them starting
from a secondary concentration peak due to an external incidental cause.

6.2 Calculation of coefficients

The coefficients of equations constituting the mathematical model [(2) and (3) respectively for the left
and right part of it, as it has been explained above] have been derived, both for the cases of ammonia
and hydrogen, from empirical data plotted at Figure 1.

The values used for calculation of parameters for ammonia and hydrogen models are those listed in
Table 2:

Table 2 - Values of t and C used for calculation of ammonia model parameters

                            Ammonia                                    Hydrogen
                  Instant   Concentration, %           Instant         Concentration, %
                  t0 = 0    C0 = 0,8                   t0 = 0          C0 = 7,8
                  t1 = 6,8  C1 = 0,2                   t1 = 10         C1 = 0,5
                  t2 = 11   C2 = 0,45                  t2 = 11         C2 = 4,5
                  t3 = 15,5 C3 = 0,07                  t3 = 15,5       C3 = 0,7


The application of the corresponding values to expressions (2), (3) and (1) gives for the whole
mathematical model for ammonia the following equations:

                Cat1 = 0,80 * e -0,2038 t    (4)     and C
                                                             a
                                                              t2    = 0,45 * e -0,4134 t    (5)

Being (4) valid between instants 0 and 10, and (5) for the remaining period.

And the equations fot hydrogen model are

                 Cht1 = 7,8 * e -0,2747 t      (6)    and C
                                                              h
                                                               t2   = 4,5 * e -0,4134 t    (7)
Being as well (6) valid until instant 10, and (7) between 11 and 21ones.

It is to be noted that, accordingly with the last statement of paragraph 4.1, the exponent of equation (7)
is the exactly the same of (5) one, and that its coefficient is that of (5) multiplied by a
    factor of 10. Note as well that the unit of all exponents is the (sampling intervall)-1. To express them in
    year—1they must be divided by the factor 6.6316, as stated at 4.3.

   6.3. Comparison between observed and model-derived values of concentration.

   In order to show graphically this comparison, observed and model - derived values have been plotted
   together, respectively for ammonia and hydrogen, at Figures 3 and 4.


   7. CONCLUSIONS

   • As it could be expected, the decay of concentrations for the two studied gases (both of them coming
     from inorganic substances) is much faster (by a factor of about 10) than that of methane and carbon
     dioxide in biogas, due, instead, to the decomposition of organic products.
   • The rate of generation for ammonia and hydrogen appears to be strongly related to water intrusion
     into waste mass. This statement is supported by the observational evidence and by its explanation in
     chemical theoretical terms. No other external factors appear to have a comparable influence on
     generation rate.
   • In spite of deviations due to external causes other than water intrusion, first order mathematical
     model appears to be a quite good approach to observational results. In the other hand, the
     enhancements of generation rate due to water intrusions can also be approached just re-adjusting the
     parameters of model to observational data.
   • If these enhancements do not occur, the simplicity of the first order model allows to derive its
     parameters (that is, to define completely the model equation) from just two values of concentration at
     two known instants of time.


   ACKNOWLEGEMENTS
Author gratefully acknowledges Adoración Pascual, Maria Gràcia Rosell, Xavier Guardino and Emili
   Castejón, from the Instituto Nacional de Seguridad e Higiene en el Trabajo, at
                                   Ammonia concentrations, % v/v

                                                                   0,8
                                                                   0,7
                                                                   0,6
                                                                   0,5                                                                 Observed conc.
                                                                   0,4
                                                                                                                                       Math. model conc.
                                                                   0,3
                                                                   0,2
                                                                   0,1
                                                                     0
                                                                         0

                                                                             2
                                                                                 4

                                                                                     6
                                                                                           8

                                                                                                 10
                                                                                                       12

                                                                                                             14
                                                                                                                   16

                                                                                                                         18
                                                                                                                               20
                                                                                            Sampling nº

   Figure 3. Ammonia observed versus mathematical model derived concentrations.
  Hydrogen concentrations, % v/v




                                          8
                                          7
                                          6
                                          5                                                                                         Observed conc.
                                          4
                                                                                                                                    Math. model conc.
                                          3
                                          2
                                          1
                                          0
                                                                   0

                                                                         2

                                                                             4

                                                                                 6

                                                                                     8

                                                                                            10

                                                                                                 12

                                                                                                        14

                                                                                                              16

                                                                                                                    18

                                                                                                                          20




                                                                                         Sampling nº

Figure 4. Hydrogen observed versus mathematical model derived concentrations.

whose laboratory in Barcelona has been performed all the analytical work, and Miquel Gelabert, Juan
Leyva and Josep Mª Biescas, from the EMSHTR, who have shared with Mrs. Pascual and himself the
sampling works.


REFERENCES

Relea F., Feliubadaló J. and Montells R. MSW and NSIW landfilling: an emission comparison.
   Proceedings Sardinia 95, Fifth International Landfill Symposium, CISA publisher, Cagliari, vol.
   III, 223-234.

Babor J.A. and Ibarz J. Química General Moderna, Editorial Marín, Barcelona 1962, 294-295.
Coops O., Lunning L., Oonk H. and Weenk A. Validation of gas formation models. Proceedings
  Sardinia 95, Fifth International Landfill Symposium, CISA publisher, Cagliari, vol. I, 634-646.

Más contenido relacionado

La actualidad más candente

pH - Understanding titration curve
pH - Understanding titration curvepH - Understanding titration curve
pH - Understanding titration curvejslayer
 
Alkalinity,hardness,softening BY Muhammad Fahad Ansari 12IEEM14
Alkalinity,hardness,softening BY Muhammad Fahad Ansari 12IEEM14Alkalinity,hardness,softening BY Muhammad Fahad Ansari 12IEEM14
Alkalinity,hardness,softening BY Muhammad Fahad Ansari 12IEEM14fahadansari131
 
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...PerkinElmer, Inc.
 
Ammonia and-in-acid-solutions
Ammonia and-in-acid-solutionsAmmonia and-in-acid-solutions
Ammonia and-in-acid-solutionsarezaei91
 
Q913 rfp w1 lec 2
Q913 rfp w1 lec 2Q913 rfp w1 lec 2
Q913 rfp w1 lec 2AFATous
 
Q921 re1 lec2 v1
Q921 re1 lec2 v1Q921 re1 lec2 v1
Q921 re1 lec2 v1AFATous
 
harness of water ppt
harness of water pptharness of water ppt
harness of water pptvicky264patel
 
Q913 rfp w3 lec 12, Separators and Phase envelope calculations
Q913 rfp w3 lec 12, Separators and Phase envelope calculationsQ913 rfp w3 lec 12, Separators and Phase envelope calculations
Q913 rfp w3 lec 12, Separators and Phase envelope calculationsAFATous
 
Classification of reservoirs
Classification of reservoirsClassification of reservoirs
Classification of reservoirsFertiglobe
 
Measurement Of Total alkalinity presentation report
Measurement Of Total alkalinity presentation reportMeasurement Of Total alkalinity presentation report
Measurement Of Total alkalinity presentation reportDevansh Gupta
 
Berrigan- Softening_April-4-2016-Minnesota-AWWA-Metro-District
Berrigan- Softening_April-4-2016-Minnesota-AWWA-Metro-DistrictBerrigan- Softening_April-4-2016-Minnesota-AWWA-Metro-District
Berrigan- Softening_April-4-2016-Minnesota-AWWA-Metro-DistrictJohn K. Berrigan Jr., P.E.
 
Dehydration Fall 09
Dehydration  Fall 09Dehydration  Fall 09
Dehydration Fall 09yuan83
 
Carbon dioxide removal and capture for landfill gas up grading
Carbon dioxide removal and capture for landfill gas up gradingCarbon dioxide removal and capture for landfill gas up grading
Carbon dioxide removal and capture for landfill gas up gradingCatherine Maria Centanaro Chavez
 

La actualidad más candente (20)

pH - Understanding titration curve
pH - Understanding titration curvepH - Understanding titration curve
pH - Understanding titration curve
 
Alkalinity,hardness,softening BY Muhammad Fahad Ansari 12IEEM14
Alkalinity,hardness,softening BY Muhammad Fahad Ansari 12IEEM14Alkalinity,hardness,softening BY Muhammad Fahad Ansari 12IEEM14
Alkalinity,hardness,softening BY Muhammad Fahad Ansari 12IEEM14
 
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
Analysis of Impurities in Semiconductor-Grade Hydrochloric Acid with the NexI...
 
Single Well Tracer Test
Single Well Tracer TestSingle Well Tracer Test
Single Well Tracer Test
 
ICC16
ICC16ICC16
ICC16
 
Ammonia and-in-acid-solutions
Ammonia and-in-acid-solutionsAmmonia and-in-acid-solutions
Ammonia and-in-acid-solutions
 
Q913 rfp w1 lec 2
Q913 rfp w1 lec 2Q913 rfp w1 lec 2
Q913 rfp w1 lec 2
 
Alcohol, phenol & ether
Alcohol, phenol & etherAlcohol, phenol & ether
Alcohol, phenol & ether
 
Q921 re1 lec2 v1
Q921 re1 lec2 v1Q921 re1 lec2 v1
Q921 re1 lec2 v1
 
harness of water ppt
harness of water pptharness of water ppt
harness of water ppt
 
Wolf rearrangement
Wolf rearrangementWolf rearrangement
Wolf rearrangement
 
Q913 rfp w3 lec 12, Separators and Phase envelope calculations
Q913 rfp w3 lec 12, Separators and Phase envelope calculationsQ913 rfp w3 lec 12, Separators and Phase envelope calculations
Q913 rfp w3 lec 12, Separators and Phase envelope calculations
 
Classification of reservoirs
Classification of reservoirsClassification of reservoirs
Classification of reservoirs
 
Measurement Of Total alkalinity presentation report
Measurement Of Total alkalinity presentation reportMeasurement Of Total alkalinity presentation report
Measurement Of Total alkalinity presentation report
 
Berrigan- Softening_April-4-2016-Minnesota-AWWA-Metro-District
Berrigan- Softening_April-4-2016-Minnesota-AWWA-Metro-DistrictBerrigan- Softening_April-4-2016-Minnesota-AWWA-Metro-District
Berrigan- Softening_April-4-2016-Minnesota-AWWA-Metro-District
 
Determination of carbonates and bicarbonates in water sample
Determination of carbonates and bicarbonates in water sampleDetermination of carbonates and bicarbonates in water sample
Determination of carbonates and bicarbonates in water sample
 
Identifying Unknown Alcohol
Identifying Unknown AlcoholIdentifying Unknown Alcohol
Identifying Unknown Alcohol
 
Indicators
IndicatorsIndicators
Indicators
 
Dehydration Fall 09
Dehydration  Fall 09Dehydration  Fall 09
Dehydration Fall 09
 
Carbon dioxide removal and capture for landfill gas up grading
Carbon dioxide removal and capture for landfill gas up gradingCarbon dioxide removal and capture for landfill gas up grading
Carbon dioxide removal and capture for landfill gas up grading
 

Destacado

El foc de Rasquera ha estat resultat d'un procés. Part 2
El foc de Rasquera ha estat resultat d'un procés. Part 2El foc de Rasquera ha estat resultat d'un procés. Part 2
El foc de Rasquera ha estat resultat d'un procés. Part 2Josep Lascurain - S·G·M s.l.
 
El verd al projecte d'urbanització, una aproximació des de la fisiologia vege...
El verd al projecte d'urbanització, una aproximació des de la fisiologia vege...El verd al projecte d'urbanització, una aproximació des de la fisiologia vege...
El verd al projecte d'urbanització, una aproximació des de la fisiologia vege...Josep Lascurain - S·G·M s.l.
 

Destacado (17)

Can Valldaura Monitoring program
Can Valldaura Monitoring programCan Valldaura Monitoring program
Can Valldaura Monitoring program
 
El foc de Rasquera ha estat resultat d'un procés. Part 2
El foc de Rasquera ha estat resultat d'un procés. Part 2El foc de Rasquera ha estat resultat d'un procés. Part 2
El foc de Rasquera ha estat resultat d'un procés. Part 2
 
Aigua amiga nº 3
Aigua amiga nº 3Aigua amiga nº 3
Aigua amiga nº 3
 
Aliga cuabarrada i radioseguiment
Aliga cuabarrada i radioseguimentAliga cuabarrada i radioseguiment
Aliga cuabarrada i radioseguiment
 
Beneficiaries
BeneficiariesBeneficiaries
Beneficiaries
 
URBAN GEOCROWDSOURCING?
URBAN GEOCROWDSOURCING?URBAN GEOCROWDSOURCING?
URBAN GEOCROWDSOURCING?
 
Worton 1989
Worton 1989Worton 1989
Worton 1989
 
Club Natació Barcelona, un paradís proper
Club Natació Barcelona, un paradís properClub Natació Barcelona, un paradís proper
Club Natació Barcelona, un paradís proper
 
El verd al projecte d'urbanització, una aproximació des de la fisiologia vege...
El verd al projecte d'urbanització, una aproximació des de la fisiologia vege...El verd al projecte d'urbanització, una aproximació des de la fisiologia vege...
El verd al projecte d'urbanització, una aproximació des de la fisiologia vege...
 
Aigua+amiga+8
Aigua+amiga+8Aigua+amiga+8
Aigua+amiga+8
 
Esmorzant am bl'enemic
Esmorzant am bl'enemicEsmorzant am bl'enemic
Esmorzant am bl'enemic
 
Avaluació de passos de fauna
Avaluació de passos de faunaAvaluació de passos de fauna
Avaluació de passos de fauna
 
Zozaya2007
Zozaya2007Zozaya2007
Zozaya2007
 
Social media versus NIMBY
Social media versus NIMBYSocial media versus NIMBY
Social media versus NIMBY
 
Ens ajudes a saber per on passa la fauna?
Ens ajudes a saber per on passa la fauna?Ens ajudes a saber per on passa la fauna?
Ens ajudes a saber per on passa la fauna?
 
Ramon Vallejo
Ramon VallejoRamon Vallejo
Ramon Vallejo
 
Dow oper as (308393) 2012 08-07
Dow oper as (308393) 2012 08-07Dow oper as (308393) 2012 08-07
Dow oper as (308393) 2012 08-07
 

Similar a Feliubadaló 1999

POWER PLANT CHEMISTRY
POWER PLANT CHEMISTRYPOWER PLANT CHEMISTRY
POWER PLANT CHEMISTRYDilip Kumar
 
Organometallic Catalysis Use in Drug Synthesis
Organometallic Catalysis Use in Drug SynthesisOrganometallic Catalysis Use in Drug Synthesis
Organometallic Catalysis Use in Drug SynthesisAmlanjyotiRajkhowa
 
Chapter 1 Rate of Reaction
Chapter 1 Rate of ReactionChapter 1 Rate of Reaction
Chapter 1 Rate of ReactionBrandon Loo
 
A Unique Syngas Cleanup Scheme - China Syngas to Acetic Acid
A Unique Syngas Cleanup Scheme - China Syngas to Acetic Acid A Unique Syngas Cleanup Scheme - China Syngas to Acetic Acid
A Unique Syngas Cleanup Scheme - China Syngas to Acetic Acid James Bixby
 
batteries-07-00034.pdf
batteries-07-00034.pdfbatteries-07-00034.pdf
batteries-07-00034.pdfssuser38add91
 
انتاج اليوريا
انتاج اليورياانتاج اليوريا
انتاج اليورياAli Zamel
 
Surface activation of Calcium bentonite clay
Surface activation of Calcium bentonite claySurface activation of Calcium bentonite clay
Surface activation of Calcium bentonite clayS k Parida
 
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...PremBaboo4
 
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...PremBaboo4
 
Electrocoagulation electrooxidation
Electrocoagulation  electrooxidationElectrocoagulation  electrooxidation
Electrocoagulation electrooxidationsachas
 
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdfOPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdfPremBaboo4
 
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdfOPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdfPremBaboo4
 
SDSU-Environmental-Competitoin-Paper-3
SDSU-Environmental-Competitoin-Paper-3SDSU-Environmental-Competitoin-Paper-3
SDSU-Environmental-Competitoin-Paper-3Andrew Dunavent
 
ammonia plant project.pdf
ammonia plant project.pdfammonia plant project.pdf
ammonia plant project.pdfusto
 

Similar a Feliubadaló 1999 (20)

POWER PLANT CHEMISTRY
POWER PLANT CHEMISTRYPOWER PLANT CHEMISTRY
POWER PLANT CHEMISTRY
 
Organometallic Catalysis Use in Drug Synthesis
Organometallic Catalysis Use in Drug SynthesisOrganometallic Catalysis Use in Drug Synthesis
Organometallic Catalysis Use in Drug Synthesis
 
Chapter 1 Rate of Reaction
Chapter 1 Rate of ReactionChapter 1 Rate of Reaction
Chapter 1 Rate of Reaction
 
A Unique Syngas Cleanup Scheme - China Syngas to Acetic Acid
A Unique Syngas Cleanup Scheme - China Syngas to Acetic Acid A Unique Syngas Cleanup Scheme - China Syngas to Acetic Acid
A Unique Syngas Cleanup Scheme - China Syngas to Acetic Acid
 
batteries-07-00034.pdf
batteries-07-00034.pdfbatteries-07-00034.pdf
batteries-07-00034.pdf
 
انتاج اليوريا
انتاج اليورياانتاج اليوريا
انتاج اليوريا
 
Article khamizov
Article khamizovArticle khamizov
Article khamizov
 
Surface activation of Calcium bentonite clay
Surface activation of Calcium bentonite claySurface activation of Calcium bentonite clay
Surface activation of Calcium bentonite clay
 
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
 
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
OPERATION AND TROUBLE SHOOTING IN LP AND VACUUM SECTION FOR MS SAIPEM PROCESS...
 
Ijetr021101
Ijetr021101Ijetr021101
Ijetr021101
 
Ijetr021101
Ijetr021101Ijetr021101
Ijetr021101
 
Sox ppt
Sox pptSox ppt
Sox ppt
 
AIChEHgRemoval.docx
AIChEHgRemoval.docxAIChEHgRemoval.docx
AIChEHgRemoval.docx
 
Electrocoagulation electrooxidation
Electrocoagulation  electrooxidationElectrocoagulation  electrooxidation
Electrocoagulation electrooxidation
 
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdfOPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
 
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdfOPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
OPERATION AND TROUBLE SHOOTING IN UREA SYNTHESI SSECTION.pdf
 
SDSU-Environmental-Competitoin-Paper-3
SDSU-Environmental-Competitoin-Paper-3SDSU-Environmental-Competitoin-Paper-3
SDSU-Environmental-Competitoin-Paper-3
 
ammonia plant project.pdf
ammonia plant project.pdfammonia plant project.pdf
ammonia plant project.pdf
 
corrosion ppt.ppt
corrosion ppt.pptcorrosion ppt.ppt
corrosion ppt.ppt
 

Más de Josep Lascurain - S·G·M s.l.

Models tridimensionals i anàlisi de conques visuals: anar més enllà dels pend...
Models tridimensionals i anàlisi de conques visuals: anar més enllà dels pend...Models tridimensionals i anàlisi de conques visuals: anar més enllà dels pend...
Models tridimensionals i anàlisi de conques visuals: anar més enllà dels pend...Josep Lascurain - S·G·M s.l.
 
Presentación al 4th Iberian Conference on Landscape Ecology (IV ICLE)
Presentación al 4th Iberian Conference on Landscape Ecology (IV ICLE) Presentación al 4th Iberian Conference on Landscape Ecology (IV ICLE)
Presentación al 4th Iberian Conference on Landscape Ecology (IV ICLE) Josep Lascurain - S·G·M s.l.
 
Materials per la sortida als espais naturals de la desembocadura del riu Llob...
Materials per la sortida als espais naturals de la desembocadura del riu Llob...Materials per la sortida als espais naturals de la desembocadura del riu Llob...
Materials per la sortida als espais naturals de la desembocadura del riu Llob...Josep Lascurain - S·G·M s.l.
 
Nature-based solutions and climate adaptation for the Metropolitan Beach of B...
Nature-based solutions and climate adaptation for the Metropolitan Beach of B...Nature-based solutions and climate adaptation for the Metropolitan Beach of B...
Nature-based solutions and climate adaptation for the Metropolitan Beach of B...Josep Lascurain - S·G·M s.l.
 
Turó de l'Enric: MERCADONA vs una nova forma de fer ciutat
Turó de l'Enric: MERCADONA vs una nova forma de fer ciutatTuró de l'Enric: MERCADONA vs una nova forma de fer ciutat
Turó de l'Enric: MERCADONA vs una nova forma de fer ciutatJosep Lascurain - S·G·M s.l.
 
From ecological restoration to ecosystem services in urban beaches
From ecological restoration to ecosystem services in urban beachesFrom ecological restoration to ecosystem services in urban beaches
From ecological restoration to ecosystem services in urban beachesJosep Lascurain - S·G·M s.l.
 
ES/NC based management as a way to boost mediterranean urban dune ecosystems
ES/NC based management as a way to boost mediterranean urban dune ecosystemsES/NC based management as a way to boost mediterranean urban dune ecosystems
ES/NC based management as a way to boost mediterranean urban dune ecosystemsJosep Lascurain - S·G·M s.l.
 
La contaminació lumínica al Parc Natural de Collserola, avaluació i recomanac...
La contaminació lumínica al Parc Natural de Collserola, avaluació i recomanac...La contaminació lumínica al Parc Natural de Collserola, avaluació i recomanac...
La contaminació lumínica al Parc Natural de Collserola, avaluació i recomanac...Josep Lascurain - S·G·M s.l.
 
Què passa si mirem la ciutat amb les ulleres d’estructura, funció i canvi?
Què passa si mirem la ciutat amb les ulleres d’estructura, funció i canvi?Què passa si mirem la ciutat amb les ulleres d’estructura, funció i canvi?
Què passa si mirem la ciutat amb les ulleres d’estructura, funció i canvi?Josep Lascurain - S·G·M s.l.
 

Más de Josep Lascurain - S·G·M s.l. (20)

Models tridimensionals i anàlisi de conques visuals: anar més enllà dels pend...
Models tridimensionals i anàlisi de conques visuals: anar més enllà dels pend...Models tridimensionals i anàlisi de conques visuals: anar més enllà dels pend...
Models tridimensionals i anàlisi de conques visuals: anar més enllà dels pend...
 
Presentación al 4th Iberian Conference on Landscape Ecology (IV ICLE)
Presentación al 4th Iberian Conference on Landscape Ecology (IV ICLE) Presentación al 4th Iberian Conference on Landscape Ecology (IV ICLE)
Presentación al 4th Iberian Conference on Landscape Ecology (IV ICLE)
 
Materials per la sortida als espais naturals de la desembocadura del riu Llob...
Materials per la sortida als espais naturals de la desembocadura del riu Llob...Materials per la sortida als espais naturals de la desembocadura del riu Llob...
Materials per la sortida als espais naturals de la desembocadura del riu Llob...
 
Nature-based solutions and climate adaptation for the Metropolitan Beach of B...
Nature-based solutions and climate adaptation for the Metropolitan Beach of B...Nature-based solutions and climate adaptation for the Metropolitan Beach of B...
Nature-based solutions and climate adaptation for the Metropolitan Beach of B...
 
Nbs cat
Nbs catNbs cat
Nbs cat
 
Governance user board-17nov16
Governance user board-17nov16Governance user board-17nov16
Governance user board-17nov16
 
Lascurain esconference
Lascurain esconferenceLascurain esconference
Lascurain esconference
 
Turó de l'Enric: MERCADONA vs una nova forma de fer ciutat
Turó de l'Enric: MERCADONA vs una nova forma de fer ciutatTuró de l'Enric: MERCADONA vs una nova forma de fer ciutat
Turó de l'Enric: MERCADONA vs una nova forma de fer ciutat
 
From ecological restoration to ecosystem services in urban beaches
From ecological restoration to ecosystem services in urban beachesFrom ecological restoration to ecosystem services in urban beaches
From ecological restoration to ecosystem services in urban beaches
 
Ecosistemas construidos
Ecosistemas construidosEcosistemas construidos
Ecosistemas construidos
 
Un video de crowdsourcing para Collserola
Un video de crowdsourcing para CollserolaUn video de crowdsourcing para Collserola
Un video de crowdsourcing para Collserola
 
Platjadepalma
PlatjadepalmaPlatjadepalma
Platjadepalma
 
Quanta merda de gos cap a les platges metropolitanes?
Quanta merda de gos cap a les platges metropolitanes?Quanta merda de gos cap a les platges metropolitanes?
Quanta merda de gos cap a les platges metropolitanes?
 
Aigua amiga 16
Aigua amiga 16Aigua amiga 16
Aigua amiga 16
 
Dunes per prevenir els efectes del canvi climatic
Dunes per prevenir els efectes del canvi climaticDunes per prevenir els efectes del canvi climatic
Dunes per prevenir els efectes del canvi climatic
 
ES/NC based management as a way to boost mediterranean urban dune ecosystems
ES/NC based management as a way to boost mediterranean urban dune ecosystemsES/NC based management as a way to boost mediterranean urban dune ecosystems
ES/NC based management as a way to boost mediterranean urban dune ecosystems
 
Mimicking natural processes on urban dunes
Mimicking natural processes on urban dunesMimicking natural processes on urban dunes
Mimicking natural processes on urban dunes
 
20151112platges
20151112platges20151112platges
20151112platges
 
La contaminació lumínica al Parc Natural de Collserola, avaluació i recomanac...
La contaminació lumínica al Parc Natural de Collserola, avaluació i recomanac...La contaminació lumínica al Parc Natural de Collserola, avaluació i recomanac...
La contaminació lumínica al Parc Natural de Collserola, avaluació i recomanac...
 
Què passa si mirem la ciutat amb les ulleres d’estructura, funció i canvi?
Què passa si mirem la ciutat amb les ulleres d’estructura, funció i canvi?Què passa si mirem la ciutat amb les ulleres d’estructura, funció i canvi?
Què passa si mirem la ciutat amb les ulleres d’estructura, funció i canvi?
 

Último

Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditSkynet Technologies
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPathCommunity
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...panagenda
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 

Último (20)

Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance Audit
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to Hero
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 

Feliubadaló 1999

  • 1. AMMONIA AND HYDROGEN EMISSIONS FROM AN INDUSTRIAL WASTE LANDFILL: A CASE STUDY J. FELIUBADALÓ Entitat Metropolitana de Serveis Hidràulics i Tractament de Residus, C/ 62, nº 16 - 18, Ed. B, 08040 Barcelona, Spain. SUMMARY: Emissions from IW of gases other than methane an carbon dioxide are until now not studied as in MSW landfills are. This paper deals with the origin, monitoring, temporal evolution and mathematical modelization of ammonia and hydrogen emissions from a IW landfill. Melting salts from a recycled aluminium metallurgical process, among some other kinds of waste, compose the landfilled mass. 1. INTRODUCTION Emissions of MSW landfills are currently a well-known subject, in terms of quality (range of major: methane and carbon dioxide, and minor compounds) and in terms of quantity, rate and temporal evolution of these parameters. Related to mono-industrial waste landfills, a lack of data is found, perhaps due to the relative scarceness of this kind of facilities and also to the extreme diversity of industrial substances disposed in them. Because of a number of reasons (Relea et al., 1995), the Authorities in waste management of the Metropolitan Area of Barcelona have been applying historically an splitting strategy between wastes of diverse origins. This strategy is currently being incorporated into Spanish and European regulations on waste landfilling. Moreover, these Authorities have played a role of substitution of private initiative when the industrial waste management was not technically and economically attractive for it. In this context, at the last 1980's, the EMSHTR established and operated for about seven years an industrial waste landfill in a ancient clay quarry at Cerdanyola (a village about 15 Km at the North-West from Barcelona). The extremely low values of hydraulic conductivity of the clay (even below 10-11 m.s-1) made it specially suitable for that purpose. This landfill was located about 2 Km at the East from that referred by the same authors (op. cit.). In principle, the landfill was established for a single industrial waste: the melting salts from recycled aluminium metallurgical process. Further, some other kinds of waste were also disposed there, namely non-special general industrial waste, industrial sewage sludge from the treatment of
  • 2. brine destined to electrolytic production of chlorine and caustic soda, and polluted soils from an ancient chemicals plant at a nearly Barcelona borough. The approximate amounts and percentages of every kind of waste are summarized in Table 1. Table 1 - Amounts and kinds of landfilled waste Kind of waste Amount, t Percentage Melting salts 118.000 18,4 Industrial sewage sludge 77.000 12,0 Polluted soils 7.000 1,2 Non-special general industrial waste 440.000 68,5 Total 642.000 100,0 2. ORIGIN AND CHEMICAL FEATURES OF MELTING SALTS The metallurgical process mentioned above lies basically in the melting, in a chemically reducing atmosphere, of a mixture of aluminium recycled goods and melting salts (almost all sodium and potassium natural chlorides). Molten salts float over the molten aluminiun, protecting it from oxydation and absorbing in its mass most of the aluminium impurities. As a result of this process, and specially due to the reducing character of the atmosphere in which it takes place, in the residual salts is present a certain amount (2 - 3%) of metallic aluminium, besides with some other by-products: aluminium nitrides, hydrides and sulphides, formed by the reaction of this element with nitrogen and hydrogen, both present at the reducing atmosphere, and by the reaction of it and of salts alkaline metals with the sulphur compounds usually present at the fuel used for the melting process. The overall chemical reactions describing these processes can be summarized, respectively, as follows: 2 Al + N2 ???> 2 AlN 2 Al + 3 H2 ???> 2 AlH3 + 3 S + 2 Al ???> S3Al2 and S + 2 Na ???> SNa2 If waste salts are put in contact with water, these componds react with it, giving aluminium and sodium hydroxides and, respectively, ammonia, hydrogen and hydrogen sulphide, probably according to the following reactions: AlN + 3 H2O ???> NH3 + Al(OH)3 AlH3 + 3 H2O ???> 3 H2 + Al(OH)3 S3Al2 + 6 H2O <???> 3SH2 + 2Al(OH)3, and SNa2 + 2 H2O<???> SH2 + 2 NaOH
  • 3. As it can be seen, in all cases these processes give some alkaline or amphoteric solid compounds besides with three kinds of gases, all of them with a negative environmental impact due to various reasons: toxicity and corrosivity in the case of ammonia, explosiveness in that of hydrogen, and toxicity in that of hydrogen sulphide. By the way, it is worth to point up that the alkalinity of sewage sludge disposed together with the casting salts contributes to the stabilization of the alkaline compunds formed. In the other hand, levels of hydrogen sulphide were found neglectable when compared with those of ammonia and hydrogen. Therefore, it was decided to monitorize only the last two, whose levels were in the range of percentages, whereas that of hydrogen sulphide was in the range of mg/m3. 3. SAMPLING AND ANALYSIS METHODS AND PERIODICITY OF SAMPLING 3.1. Sampling and analysis methods Ammonia, because of its chemical properties, which made impossible its instrumental analysis, was collected and analyzed by a “classical” method: chemical absorption in sulphuric acid and colorimetric dosing by Nessler method. Sampling was performed by means a "train" of three maxi-impigers, the first two filled with H2SO4 0,1N and the third, empty, acting as a trap. Gas to be sampled was forced trough the train by a peristaltic air pump. Hydrogen was analyzed at a laboratory by an instrumental method (gas cromatograpy). So, its sampling lay just in the collection in an hermetic poliethylene bag by means of an air pump. 3.3. Periodicity of samplings and unit of time It has been performed a total of 22 samplings and subsequent analysis, distributed about evenly in time, between February 1995 (just after the cessation of landfilling), and March 1998, when concentrations of both gases dropped below worrying levels. Although intervals between samplings are not exactly equal, in the following they will be considered as constant, in order to simplify calculations and graphics. Consequently, the time unit used will be that interval, and calculations will be done on that basis. An elemental calculation gives that the equivalence factor with year is 6,6316 samplings per year. 4. RESULTS Results of the entire series of ammonia and hydrogen analysis are presented together at Figure 1, in order to highlight the appoximately parallel temporal evolution of concentrations of both gases (note that those of hydrogen have been reduced by a factor of 10). The most appealing feature of both evolutions is, undoubtedly, the abrupt rising they show at the 11th sampling. As it will be discussed further, both evolutions could be approached quite accurately by a first order decay mathematical model, but that describing the evolution until that point fails to be valid from it. However, the remaining part of both evolutions can be described with about the same accuracy as well by another first-order decay equation or, more precisely, by an equation of the same kind that the first but with other parameters.
  • 4. As it can be seen in Figure 1, the degree of parallelism of the evolutions of ammonia and hydrogen allows the description of both phenomena by the same kind of mathematical model, as explained at Chapter 6. 0,8 Concentrations, % v/v 0,7 0,6 0,5 Ammonia conc. 0,4 Hydrogen conc./10 0,3 0,2 0,1 0 0 2 4 6 8 10 12 14 16 18 20 Sampling nº Figure 1. Evolution of ammonia and hydrogen concentrations by volume. 5. DISCUSSION OF RESULTS Looking for an explanation for the abrupt rising of concentrations described above, and having considered that the rising is not attributable to any landfilling of materials (since it had completely ceased before the beginning of sampling) nor to ambient temperature (since the rising has not a seasonal - depending pattern), the sole one that appeared to be reasonable was the dependence of water infiltration. In spite of the quality of landfill capping performed (1 m. of clay, 0,20 m. of draining inert material and 0,80 m. of topsoil), it appears obvious that any amount of rainfall and runoff water can reach the melting salts and re-enhance the production of ammonia and hydrogen accordingly to processes described at Chapter 2. This assumption about water intrusion into landfill body s corroborated by the fact that even at i present, that is, four years after the closure, there is still a certain production of leachate. Moreover, the parallelism of evolutions of ammonia and hydrogen pointed at Chapter 4, strongly suggests a common cause for the rising of both concentrations. So, in order to investigate the influence of water intrusion, it has being plotted (see Figure 2) the evolution of rainfall (directly measured in place) during the sampling period. The comparison of its profile with that of concentrations shows that: • It occurs a first strong peak of rainfall between samplings 6 and 10, with a total of 368 l/m2, whereas the rising of concentrations occurs at sampling 11, that is, a few months later. • A second important peak of rainfall occurs between samplings 17 and 20, with a total of 382 l/m2. In opposition to the precedent, this peak has no correspondence with any one of concentration evolution. These facts would be consistent with the explanation of, whereas at the time af first rainfall peak there was still any amount of aluminium hydrides and nitrides to react with water and so produce enough
  • 5. ammonia and hydrogen to give a noticeable peak in its evolution, by the time of second rainfall peak, these substances were already exhausted, and thus, it does not occur a second evolution peak. 140 120 Rainfall, l/m2 100 80 60 40 20 0 0 2 4 6 8 10 12 14 16 18 20 Sampling nº Figure 2. Evolution of rainfall. 6. MATHEMATICAL MODELS 6.1. General Like in municipal organic solid waste (Coops et al, 1995), the kinetics of the reaction of aluminium nitrides and hydrides with water to give aluminium hydroxide and, respectively, ammonia and hydrogen can be described, whit more or less accuracy, by mathematical models based on equations depending on the kinetic order of reactions taking place. Since in the case in study reactions are at least bimolecular, the models should be of second or even further orders (Babor and Ibarz, 1962). Nevertheless, second and further orders models are very difficult to apply in practice, and so its practical usefulness is limited; so, in this case it was taken a first order model, that is, one giving a negative exponential profile for the reaction rate or, correspondingly, for concentrations of both gases. First order models are, as it is well-known, based on the following general equation: -kt Ct = C0* e (1) where Ct is the concentration at the instant t, C0 that of the initial instant and k is the velocity constant of the process. The last is related with Ct and C0 by the equation k = (1/t) * ln (C 0/Ct ) (2) Thus, to know C0 and Ct gives the value of k or, in other words, completely determines the equation or equations ruling the mathematical model. Therefore, for the complete determination of a first order
  • 6. equation, it is sufficient to have the initial value of concentration (C0) and its value after a known time t (C t ). It is easy to demonstrate that equation (2) can be generalized to any pair of values of t: k = 1/(t2-t1) * ln (C1/C2) (3) If, as in this case, one looks for the modelization of a set of empirical data, these values of C might be chosen so as to positive and negative errors of model were approximately compensated, in order to maximize the accuracy of it. This can require a number of trials. Moreover, in this case, the special feature of the set of values reported in Chapter 5 leads to the need of two equations, the first describing the evolution before the secondary peak reported there and the second accounting for the remainder of the obtained values. It is worth to point here that this procedure has an evident physical interpretation. In effect, the overall phenomenon can be described in terms of the succession of two approximately exponential decay processes, the second of them starting from a secondary concentration peak due to an external incidental cause. 6.2 Calculation of coefficients The coefficients of equations constituting the mathematical model [(2) and (3) respectively for the left and right part of it, as it has been explained above] have been derived, both for the cases of ammonia and hydrogen, from empirical data plotted at Figure 1. The values used for calculation of parameters for ammonia and hydrogen models are those listed in Table 2: Table 2 - Values of t and C used for calculation of ammonia model parameters Ammonia Hydrogen Instant Concentration, % Instant Concentration, % t0 = 0 C0 = 0,8 t0 = 0 C0 = 7,8 t1 = 6,8 C1 = 0,2 t1 = 10 C1 = 0,5 t2 = 11 C2 = 0,45 t2 = 11 C2 = 4,5 t3 = 15,5 C3 = 0,07 t3 = 15,5 C3 = 0,7 The application of the corresponding values to expressions (2), (3) and (1) gives for the whole mathematical model for ammonia the following equations: Cat1 = 0,80 * e -0,2038 t (4) and C a t2 = 0,45 * e -0,4134 t (5) Being (4) valid between instants 0 and 10, and (5) for the remaining period. And the equations fot hydrogen model are Cht1 = 7,8 * e -0,2747 t (6) and C h t2 = 4,5 * e -0,4134 t (7)
  • 7. Being as well (6) valid until instant 10, and (7) between 11 and 21ones. It is to be noted that, accordingly with the last statement of paragraph 4.1, the exponent of equation (7) is the exactly the same of (5) one, and that its coefficient is that of (5) multiplied by a factor of 10. Note as well that the unit of all exponents is the (sampling intervall)-1. To express them in year—1they must be divided by the factor 6.6316, as stated at 4.3. 6.3. Comparison between observed and model-derived values of concentration. In order to show graphically this comparison, observed and model - derived values have been plotted together, respectively for ammonia and hydrogen, at Figures 3 and 4. 7. CONCLUSIONS • As it could be expected, the decay of concentrations for the two studied gases (both of them coming from inorganic substances) is much faster (by a factor of about 10) than that of methane and carbon dioxide in biogas, due, instead, to the decomposition of organic products. • The rate of generation for ammonia and hydrogen appears to be strongly related to water intrusion into waste mass. This statement is supported by the observational evidence and by its explanation in chemical theoretical terms. No other external factors appear to have a comparable influence on generation rate. • In spite of deviations due to external causes other than water intrusion, first order mathematical model appears to be a quite good approach to observational results. In the other hand, the enhancements of generation rate due to water intrusions can also be approached just re-adjusting the parameters of model to observational data. • If these enhancements do not occur, the simplicity of the first order model allows to derive its parameters (that is, to define completely the model equation) from just two values of concentration at two known instants of time. ACKNOWLEGEMENTS
  • 8. Author gratefully acknowledges Adoración Pascual, Maria Gràcia Rosell, Xavier Guardino and Emili Castejón, from the Instituto Nacional de Seguridad e Higiene en el Trabajo, at Ammonia concentrations, % v/v 0,8 0,7 0,6 0,5 Observed conc. 0,4 Math. model conc. 0,3 0,2 0,1 0 0 2 4 6 8 10 12 14 16 18 20 Sampling nº Figure 3. Ammonia observed versus mathematical model derived concentrations. Hydrogen concentrations, % v/v 8 7 6 5 Observed conc. 4 Math. model conc. 3 2 1 0 0 2 4 6 8 10 12 14 16 18 20 Sampling nº Figure 4. Hydrogen observed versus mathematical model derived concentrations. whose laboratory in Barcelona has been performed all the analytical work, and Miquel Gelabert, Juan Leyva and Josep Mª Biescas, from the EMSHTR, who have shared with Mrs. Pascual and himself the sampling works. REFERENCES Relea F., Feliubadaló J. and Montells R. MSW and NSIW landfilling: an emission comparison. Proceedings Sardinia 95, Fifth International Landfill Symposium, CISA publisher, Cagliari, vol. III, 223-234. Babor J.A. and Ibarz J. Química General Moderna, Editorial Marín, Barcelona 1962, 294-295.
  • 9. Coops O., Lunning L., Oonk H. and Weenk A. Validation of gas formation models. Proceedings Sardinia 95, Fifth International Landfill Symposium, CISA publisher, Cagliari, vol. I, 634-646.