SlideShare una empresa de Scribd logo
1 de 23
Descargar para leer sin conexión
Kernel Density Estimation Methods for a Geostatistical Approach in Seismic Risk Analysis: the Case Study of Potenza Hilltop Town (southern Italy) Maria Danese * ,  **,   Maurizio Lazzari * ,   Beniamino Murgante **  International Conference on Computational Science and Its Applications (ICCSA 2008) - 30June -3July 2008 - Perugia, Italy *   National Counsil of Research  Archaeological and Monumental Heritage Institute,  ** Università degli Studi della Basilicata, Dipartimento di Architettura, Pianificazione ed Infrastrutture di Trasporto
The problem: the seismic approach Program of prevision, prevention and protection Seismic event consequences evaluation and damages quantification Analysis of seismic  damage scenarios
Analysis of seismic damage scenarios: instruments European Macroseismic Macroscale 1998 Vulnerability classes Damage levels Historical macroseismic scenarios Relationships between macroseismic intensity and damage levels
Analysis of seismic damage scenarios: limits ,[object Object],[object Object],Factors that needs a better   evaluation “ The increase in shaking due to soil amplification or topographical conditions is part of the effects that intensity is a record of, and part of the hazard to which the built environment is exposed”  * * Grünthal, G. G.: European Macroseismic Scale 1998. Conseil de l’Europe Cahiers du Centre Européen de Géodynamique et de Séisomologie, vol. 15 Luxembourg (1998) Importance   of the spatial component in seismic damage scenarios
Methods: the Kernel Density Estimation (KDE)
KDE: intensity ,[object Object],[object Object],[object Object]
KDE: intensity and its measures First order effects (Absolute location)  Second order effects ( Relative location ) Properties of a spatial distribution* *Gatrell et al. (1996)
KDE: kernel functions
KDE: grid resolution
KDE: bandwidth Smaller Bandwidth (Levine, 1999) Greater Bandwidth (Levine, 1999) Relation between the bandwidth dimension and the study area
KDE: bandwidth approaches
KDE: a method for the right choose of bandwidth Nearest-Neighbor Index Nearest-Neighbor Expected Distance NNI > 1     observed distance is higher than the expected distance;  events are more scattered than expected.   NNI < 1    observed distance is smaller than expected distance Nearest-Neighbor Observed Distance
KDE: classification of results
The case of study: Potenza hilltop town 1857 1930 1980 Over-consolidated clayey substratum Sandy-conglomerate deposit lays Narrow asymmetrical ridge
The case of study: Potenza hilltop town
The case of study: parameters selection ,[object Object],[object Object],[object Object]
The case of study: parameters selection Intensity choice 6 5 D5 5 4 D4 3 3 D3 2 2 D2 1 1 D1 Intensity in northern sector Intensity in middle-southern sector Damage level
The case of study: parameters selection Kernel choice Cell size choice 0.1m
The case of study: parameters selection Bandwidth choice 6.8 Nearest neighbour mean calculated for  whole point pattern Fixed for whole point pattern 1 KD map t  (m) Methods used to estimate  t   Bandwidth  approach Case
The case of study: parameters selection Bandwidth choice Sum of two resultant raster   3.9 6.8 D1-2-3 damage level: average of building’s  minimum semi-dimension. D4-5 damage level: nearest neighbour mean calculated for whole point pattern. Two different  fixed bandwidths 2 KD map t  (m) Methods used to estimate  t   Bandwidth  approach Case
The case of study: parameters selection Bandwidth choice Sum of two resultant raster 1.4÷9.9 6.8 4.1 D1-2-3 damage level:  building’s minimum semi- Dimension D4-5 damage level: Building’s area ≤ mean + sd nearest neighbour  mean calculated for whole point pattern Building’s area > mean + sd nearest neighbour  mean calculated for whole point pattern multiplied by correction. One KDE with  Fixed method,  one with Adaptive  method   3 KD map t  (m) Methods used to estimate  t   Bandwidth  approach Case
Results
Conclusions and future developments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Más contenido relacionado

Similar a Geostatistical Approach in Seismic Risk Danese Murgante Lazzari

Frequency and FDTD.ppt
Frequency and FDTD.pptFrequency and FDTD.ppt
Frequency and FDTD.pptwerom2
 
Inversions of MobileMT data and forward modelling
Inversions of MobileMT data and forward modellingInversions of MobileMT data and forward modelling
Inversions of MobileMT data and forward modellingExpert Geophysics Limited
 
Field Strength Predicting Outdoor Models
Field Strength Predicting Outdoor ModelsField Strength Predicting Outdoor Models
Field Strength Predicting Outdoor ModelsIRJET Journal
 
BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS
BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS
BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS David Wilson
 
Npp site selection_andreev_varbanov_submit
Npp site selection_andreev_varbanov_submitNpp site selection_andreev_varbanov_submit
Npp site selection_andreev_varbanov_submitStoyan Andreev
 
Weather factor landslide hazard
Weather factor landslide hazardWeather factor landslide hazard
Weather factor landslide hazardAlfonso Crisci
 
Geostatistics for radiological characterization and sampling optimization
Geostatistics for radiological characterization and sampling optimizationGeostatistics for radiological characterization and sampling optimization
Geostatistics for radiological characterization and sampling optimizationGeovariances
 
Justifying Modelin Uncertanty Agora
Justifying Modelin Uncertanty AgoraJustifying Modelin Uncertanty Agora
Justifying Modelin Uncertanty AgoraUniversity of Oradea
 
moon_communications_presentation.pdf
moon_communications_presentation.pdfmoon_communications_presentation.pdf
moon_communications_presentation.pdfZoranHadziVelkov1
 
BAM_textural_object.pptx
BAM_textural_object.pptxBAM_textural_object.pptx
BAM_textural_object.pptxgrssieee
 
EUCAP 2021_presentation (7)
EUCAP 2021_presentation (7)EUCAP 2021_presentation (7)
EUCAP 2021_presentation (7)Hamdi Bilel
 
Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...
Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...
Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...journalBEEI
 
IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...
IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...
IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...IRJET Journal
 
Big Data Framework for Predictive Risk Assessment of Weather Impacts on Elect...
Big Data Framework for Predictive Risk Assessment of Weather Impacts on Elect...Big Data Framework for Predictive Risk Assessment of Weather Impacts on Elect...
Big Data Framework for Predictive Risk Assessment of Weather Impacts on Elect...Power System Operation
 

Similar a Geostatistical Approach in Seismic Risk Danese Murgante Lazzari (20)

Melles
MellesMelles
Melles
 
Frequency and FDTD.ppt
Frequency and FDTD.pptFrequency and FDTD.ppt
Frequency and FDTD.ppt
 
Inversions of MobileMT data and forward modelling
Inversions of MobileMT data and forward modellingInversions of MobileMT data and forward modelling
Inversions of MobileMT data and forward modelling
 
Field Strength Predicting Outdoor Models
Field Strength Predicting Outdoor ModelsField Strength Predicting Outdoor Models
Field Strength Predicting Outdoor Models
 
BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS
BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS
BLASTING FRAGMENTATION MANAGEMENT USING COMPLEXITY ANALYSIS
 
Buckles_research
Buckles_researchBuckles_research
Buckles_research
 
842 manobianco
842 manobianco842 manobianco
842 manobianco
 
Npp site selection_andreev_varbanov_submit
Npp site selection_andreev_varbanov_submitNpp site selection_andreev_varbanov_submit
Npp site selection_andreev_varbanov_submit
 
Weather factor landslide hazard
Weather factor landslide hazardWeather factor landslide hazard
Weather factor landslide hazard
 
906882
906882906882
906882
 
Geostatistics for radiological characterization and sampling optimization
Geostatistics for radiological characterization and sampling optimizationGeostatistics for radiological characterization and sampling optimization
Geostatistics for radiological characterization and sampling optimization
 
Justifying Modelin Uncertanty Agora
Justifying Modelin Uncertanty AgoraJustifying Modelin Uncertanty Agora
Justifying Modelin Uncertanty Agora
 
moon_communications_presentation.pdf
moon_communications_presentation.pdfmoon_communications_presentation.pdf
moon_communications_presentation.pdf
 
BAM_textural_object.pptx
BAM_textural_object.pptxBAM_textural_object.pptx
BAM_textural_object.pptx
 
Paregiani
ParegianiParegiani
Paregiani
 
EUCAP 2021_presentation (7)
EUCAP 2021_presentation (7)EUCAP 2021_presentation (7)
EUCAP 2021_presentation (7)
 
Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...
Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...
Computer model for tsunami vulnerability using sentinel 2A and SRTM images op...
 
IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...
IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...
IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...
 
Big Data Framework for Predictive Risk Assessment of Weather Impacts on Elect...
Big Data Framework for Predictive Risk Assessment of Weather Impacts on Elect...Big Data Framework for Predictive Risk Assessment of Weather Impacts on Elect...
Big Data Framework for Predictive Risk Assessment of Weather Impacts on Elect...
 
AlfredoConetta_EGM712_GIS_Project
AlfredoConetta_EGM712_GIS_ProjectAlfredoConetta_EGM712_GIS_Project
AlfredoConetta_EGM712_GIS_Project
 

Más de Beniamino Murgante

Analyzing and assessing ecological transition in building sustainable cities
Analyzing and assessing ecological transition in building sustainable citiesAnalyzing and assessing ecological transition in building sustainable cities
Analyzing and assessing ecological transition in building sustainable citiesBeniamino Murgante
 
Smart Cities: New Science for the Cities
Smart Cities: New Science for the CitiesSmart Cities: New Science for the Cities
Smart Cities: New Science for the CitiesBeniamino Murgante
 
The evolution of spatial analysis and modeling in decision processes
The evolution of spatial analysis and modeling in decision processesThe evolution of spatial analysis and modeling in decision processes
The evolution of spatial analysis and modeling in decision processesBeniamino Murgante
 
Involving citizens in smart energy approaches: the experience of an energy pa...
Involving citizens in smart energy approaches: the experience of an energy pa...Involving citizens in smart energy approaches: the experience of an energy pa...
Involving citizens in smart energy approaches: the experience of an energy pa...Beniamino Murgante
 
Programmazione per la governance territoriale in tema di tutela della biodive...
Programmazione per la governance territoriale in tema di tutela della biodive...Programmazione per la governance territoriale in tema di tutela della biodive...
Programmazione per la governance territoriale in tema di tutela della biodive...Beniamino Murgante
 
Involving Citizens in a Participation Process for Increasing Walkability
Involving Citizens in a Participation Process for Increasing WalkabilityInvolving Citizens in a Participation Process for Increasing Walkability
Involving Citizens in a Participation Process for Increasing WalkabilityBeniamino Murgante
 
Presentation of ICCSA 2019 at the University of Saint petersburg
Presentation of ICCSA 2019 at the University of Saint petersburg Presentation of ICCSA 2019 at the University of Saint petersburg
Presentation of ICCSA 2019 at the University of Saint petersburg Beniamino Murgante
 
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...Beniamino Murgante
 
Presentation of ICCSA 2017 at the University of trieste
Presentation of ICCSA 2017 at the University of triestePresentation of ICCSA 2017 at the University of trieste
Presentation of ICCSA 2017 at the University of triesteBeniamino Murgante
 
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...Beniamino Murgante
 
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...Beniamino Murgante
 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector Beniamino Murgante
 
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...Beniamino Murgante
 
Garden in motion. An experience of citizens involvement in public space regen...
Garden in motion. An experience of citizens involvement in public space regen...Garden in motion. An experience of citizens involvement in public space regen...
Garden in motion. An experience of citizens involvement in public space regen...Beniamino Murgante
 
Planning and Smartness: the true challenge
Planning and Smartness: the true challengePlanning and Smartness: the true challenge
Planning and Smartness: the true challengeBeniamino Murgante
 
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...Beniamino Murgante
 
Informazione Geografica, Città, Smartness
Informazione Geografica, Città, Smartness Informazione Geografica, Città, Smartness
Informazione Geografica, Città, Smartness Beniamino Murgante
 
Tecnologie, Territorio, Smartness
Tecnologie, Territorio, SmartnessTecnologie, Territorio, Smartness
Tecnologie, Territorio, SmartnessBeniamino Murgante
 

Más de Beniamino Murgante (20)

Analyzing and assessing ecological transition in building sustainable cities
Analyzing and assessing ecological transition in building sustainable citiesAnalyzing and assessing ecological transition in building sustainable cities
Analyzing and assessing ecological transition in building sustainable cities
 
Smart Cities: New Science for the Cities
Smart Cities: New Science for the CitiesSmart Cities: New Science for the Cities
Smart Cities: New Science for the Cities
 
The evolution of spatial analysis and modeling in decision processes
The evolution of spatial analysis and modeling in decision processesThe evolution of spatial analysis and modeling in decision processes
The evolution of spatial analysis and modeling in decision processes
 
Smart City or Urban Science?
Smart City or Urban Science?Smart City or Urban Science?
Smart City or Urban Science?
 
Involving citizens in smart energy approaches: the experience of an energy pa...
Involving citizens in smart energy approaches: the experience of an energy pa...Involving citizens in smart energy approaches: the experience of an energy pa...
Involving citizens in smart energy approaches: the experience of an energy pa...
 
Programmazione per la governance territoriale in tema di tutela della biodive...
Programmazione per la governance territoriale in tema di tutela della biodive...Programmazione per la governance territoriale in tema di tutela della biodive...
Programmazione per la governance territoriale in tema di tutela della biodive...
 
Involving Citizens in a Participation Process for Increasing Walkability
Involving Citizens in a Participation Process for Increasing WalkabilityInvolving Citizens in a Participation Process for Increasing Walkability
Involving Citizens in a Participation Process for Increasing Walkability
 
Presentation of ICCSA 2019 at the University of Saint petersburg
Presentation of ICCSA 2019 at the University of Saint petersburg Presentation of ICCSA 2019 at the University of Saint petersburg
Presentation of ICCSA 2019 at the University of Saint petersburg
 
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
 
Presentation of ICCSA 2017 at the University of trieste
Presentation of ICCSA 2017 at the University of triestePresentation of ICCSA 2017 at the University of trieste
Presentation of ICCSA 2017 at the University of trieste
 
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
 
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
 
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
 
Garden in motion. An experience of citizens involvement in public space regen...
Garden in motion. An experience of citizens involvement in public space regen...Garden in motion. An experience of citizens involvement in public space regen...
Garden in motion. An experience of citizens involvement in public space regen...
 
Planning and Smartness: the true challenge
Planning and Smartness: the true challengePlanning and Smartness: the true challenge
Planning and Smartness: the true challenge
 
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
 
Murgante smart energy
Murgante smart energyMurgante smart energy
Murgante smart energy
 
Informazione Geografica, Città, Smartness
Informazione Geografica, Città, Smartness Informazione Geografica, Città, Smartness
Informazione Geografica, Città, Smartness
 
Tecnologie, Territorio, Smartness
Tecnologie, Territorio, SmartnessTecnologie, Territorio, Smartness
Tecnologie, Territorio, Smartness
 

Último

Aon-UK-DC-Pension-Tracker-Q1-2024. slideshare
Aon-UK-DC-Pension-Tracker-Q1-2024. slideshareAon-UK-DC-Pension-Tracker-Q1-2024. slideshare
Aon-UK-DC-Pension-Tracker-Q1-2024. slideshareHenry Tapper
 
Demographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequalityDemographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequalityGRAPE
 
Amil-NO1 vashikaran helpline number best vashikaran specialist in UK USA UAE ...
Amil-NO1 vashikaran helpline number best vashikaran specialist in UK USA UAE ...Amil-NO1 vashikaran helpline number best vashikaran specialist in UK USA UAE ...
Amil-NO1 vashikaran helpline number best vashikaran specialist in UK USA UAE ...Amil baba
 
Apr Issue2024.pdf "Life A Promise" our in house magazine.
Apr Issue2024.pdf "Life A Promise" our in house magazine.Apr Issue2024.pdf "Life A Promise" our in house magazine.
Apr Issue2024.pdf "Life A Promise" our in house magazine.NayanBhowmick3
 
Seeman_Fiintouch_Newsletter_Apr-2024 (1).pdf
Seeman_Fiintouch_Newsletter_Apr-2024 (1).pdfSeeman_Fiintouch_Newsletter_Apr-2024 (1).pdf
Seeman_Fiintouch_Newsletter_Apr-2024 (1).pdfAshis Kumar Dey
 
How Psychological Factors Shape DeFi Trustworthiness
How Psychological Factors Shape DeFi TrustworthinessHow Psychological Factors Shape DeFi Trustworthiness
How Psychological Factors Shape DeFi TrustworthinessThe Connecter
 
OpenAlgo - Algotrading Platform for Everyone
OpenAlgo - Algotrading Platform for EveryoneOpenAlgo - Algotrading Platform for Everyone
OpenAlgo - Algotrading Platform for EveryoneMarketcalls
 
Uk-NO1 Rohani Amil In Islamabad Amil Baba in Rawalpindi Kala Jadu Amil In Raw...
Uk-NO1 Rohani Amil In Islamabad Amil Baba in Rawalpindi Kala Jadu Amil In Raw...Uk-NO1 Rohani Amil In Islamabad Amil Baba in Rawalpindi Kala Jadu Amil In Raw...
Uk-NO1 Rohani Amil In Islamabad Amil Baba in Rawalpindi Kala Jadu Amil In Raw...Amil baba
 
Test bank for corporate finance 13th stephen ross randolph westerfield jeffre...
Test bank for corporate finance 13th stephen ross randolph westerfield jeffre...Test bank for corporate finance 13th stephen ross randolph westerfield jeffre...
Test bank for corporate finance 13th stephen ross randolph westerfield jeffre...marcuskenyatta275
 
RWA Report 2024: Rise of Real-World Assets in Crypto | CoinGecko
RWA Report 2024: Rise of Real-World Assets in Crypto | CoinGeckoRWA Report 2024: Rise of Real-World Assets in Crypto | CoinGecko
RWA Report 2024: Rise of Real-World Assets in Crypto | CoinGeckoCoinGecko
 
JD ED Strategy Policy and Analysis. TPrpdf
JD ED Strategy Policy and Analysis. TPrpdfJD ED Strategy Policy and Analysis. TPrpdf
JD ED Strategy Policy and Analysis. TPrpdfHenry Tapper
 
Cash for Gold at Kharag Pawnbrokers.boucher
Cash for Gold at Kharag Pawnbrokers.boucherCash for Gold at Kharag Pawnbrokers.boucher
Cash for Gold at Kharag Pawnbrokers.boucherpawnbrokerskharag
 
Global Macroeconomics: Introducing GDP 2.0.pdf
Global Macroeconomics: Introducing GDP 2.0.pdfGlobal Macroeconomics: Introducing GDP 2.0.pdf
Global Macroeconomics: Introducing GDP 2.0.pdfnqsh
 
Case study.Emirates.Marketing Analysis.pdf
Case study.Emirates.Marketing Analysis.pdfCase study.Emirates.Marketing Analysis.pdf
Case study.Emirates.Marketing Analysis.pdfkwjghwv929
 
2B Nation-State.pptx contemporary world nation
2B  Nation-State.pptx contemporary world nation2B  Nation-State.pptx contemporary world nation
2B Nation-State.pptx contemporary world nationko9240888
 
Budget 1974.care of Peter Cameron Brown .
Budget 1974.care of Peter Cameron Brown .Budget 1974.care of Peter Cameron Brown .
Budget 1974.care of Peter Cameron Brown .Henry Tapper
 
Con Keating's coffee morning presentation.pptx
Con Keating's coffee morning  presentation.pptxCon Keating's coffee morning  presentation.pptx
Con Keating's coffee morning presentation.pptxHenry Tapper
 

Último (17)

Aon-UK-DC-Pension-Tracker-Q1-2024. slideshare
Aon-UK-DC-Pension-Tracker-Q1-2024. slideshareAon-UK-DC-Pension-Tracker-Q1-2024. slideshare
Aon-UK-DC-Pension-Tracker-Q1-2024. slideshare
 
Demographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequalityDemographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequality
 
Amil-NO1 vashikaran helpline number best vashikaran specialist in UK USA UAE ...
Amil-NO1 vashikaran helpline number best vashikaran specialist in UK USA UAE ...Amil-NO1 vashikaran helpline number best vashikaran specialist in UK USA UAE ...
Amil-NO1 vashikaran helpline number best vashikaran specialist in UK USA UAE ...
 
Apr Issue2024.pdf "Life A Promise" our in house magazine.
Apr Issue2024.pdf "Life A Promise" our in house magazine.Apr Issue2024.pdf "Life A Promise" our in house magazine.
Apr Issue2024.pdf "Life A Promise" our in house magazine.
 
Seeman_Fiintouch_Newsletter_Apr-2024 (1).pdf
Seeman_Fiintouch_Newsletter_Apr-2024 (1).pdfSeeman_Fiintouch_Newsletter_Apr-2024 (1).pdf
Seeman_Fiintouch_Newsletter_Apr-2024 (1).pdf
 
How Psychological Factors Shape DeFi Trustworthiness
How Psychological Factors Shape DeFi TrustworthinessHow Psychological Factors Shape DeFi Trustworthiness
How Psychological Factors Shape DeFi Trustworthiness
 
OpenAlgo - Algotrading Platform for Everyone
OpenAlgo - Algotrading Platform for EveryoneOpenAlgo - Algotrading Platform for Everyone
OpenAlgo - Algotrading Platform for Everyone
 
Uk-NO1 Rohani Amil In Islamabad Amil Baba in Rawalpindi Kala Jadu Amil In Raw...
Uk-NO1 Rohani Amil In Islamabad Amil Baba in Rawalpindi Kala Jadu Amil In Raw...Uk-NO1 Rohani Amil In Islamabad Amil Baba in Rawalpindi Kala Jadu Amil In Raw...
Uk-NO1 Rohani Amil In Islamabad Amil Baba in Rawalpindi Kala Jadu Amil In Raw...
 
Test bank for corporate finance 13th stephen ross randolph westerfield jeffre...
Test bank for corporate finance 13th stephen ross randolph westerfield jeffre...Test bank for corporate finance 13th stephen ross randolph westerfield jeffre...
Test bank for corporate finance 13th stephen ross randolph westerfield jeffre...
 
RWA Report 2024: Rise of Real-World Assets in Crypto | CoinGecko
RWA Report 2024: Rise of Real-World Assets in Crypto | CoinGeckoRWA Report 2024: Rise of Real-World Assets in Crypto | CoinGecko
RWA Report 2024: Rise of Real-World Assets in Crypto | CoinGecko
 
JD ED Strategy Policy and Analysis. TPrpdf
JD ED Strategy Policy and Analysis. TPrpdfJD ED Strategy Policy and Analysis. TPrpdf
JD ED Strategy Policy and Analysis. TPrpdf
 
Cash for Gold at Kharag Pawnbrokers.boucher
Cash for Gold at Kharag Pawnbrokers.boucherCash for Gold at Kharag Pawnbrokers.boucher
Cash for Gold at Kharag Pawnbrokers.boucher
 
Global Macroeconomics: Introducing GDP 2.0.pdf
Global Macroeconomics: Introducing GDP 2.0.pdfGlobal Macroeconomics: Introducing GDP 2.0.pdf
Global Macroeconomics: Introducing GDP 2.0.pdf
 
Case study.Emirates.Marketing Analysis.pdf
Case study.Emirates.Marketing Analysis.pdfCase study.Emirates.Marketing Analysis.pdf
Case study.Emirates.Marketing Analysis.pdf
 
2B Nation-State.pptx contemporary world nation
2B  Nation-State.pptx contemporary world nation2B  Nation-State.pptx contemporary world nation
2B Nation-State.pptx contemporary world nation
 
Budget 1974.care of Peter Cameron Brown .
Budget 1974.care of Peter Cameron Brown .Budget 1974.care of Peter Cameron Brown .
Budget 1974.care of Peter Cameron Brown .
 
Con Keating's coffee morning presentation.pptx
Con Keating's coffee morning  presentation.pptxCon Keating's coffee morning  presentation.pptx
Con Keating's coffee morning presentation.pptx
 

Geostatistical Approach in Seismic Risk Danese Murgante Lazzari

  • 1. Kernel Density Estimation Methods for a Geostatistical Approach in Seismic Risk Analysis: the Case Study of Potenza Hilltop Town (southern Italy) Maria Danese * , **, Maurizio Lazzari * , Beniamino Murgante ** International Conference on Computational Science and Its Applications (ICCSA 2008) - 30June -3July 2008 - Perugia, Italy * National Counsil of Research Archaeological and Monumental Heritage Institute, ** Università degli Studi della Basilicata, Dipartimento di Architettura, Pianificazione ed Infrastrutture di Trasporto
  • 2. The problem: the seismic approach Program of prevision, prevention and protection Seismic event consequences evaluation and damages quantification Analysis of seismic damage scenarios
  • 3. Analysis of seismic damage scenarios: instruments European Macroseismic Macroscale 1998 Vulnerability classes Damage levels Historical macroseismic scenarios Relationships between macroseismic intensity and damage levels
  • 4.
  • 5. Methods: the Kernel Density Estimation (KDE)
  • 6.
  • 7. KDE: intensity and its measures First order effects (Absolute location) Second order effects ( Relative location ) Properties of a spatial distribution* *Gatrell et al. (1996)
  • 10. KDE: bandwidth Smaller Bandwidth (Levine, 1999) Greater Bandwidth (Levine, 1999) Relation between the bandwidth dimension and the study area
  • 12. KDE: a method for the right choose of bandwidth Nearest-Neighbor Index Nearest-Neighbor Expected Distance NNI > 1  observed distance is higher than the expected distance; events are more scattered than expected. NNI < 1  observed distance is smaller than expected distance Nearest-Neighbor Observed Distance
  • 14. The case of study: Potenza hilltop town 1857 1930 1980 Over-consolidated clayey substratum Sandy-conglomerate deposit lays Narrow asymmetrical ridge
  • 15. The case of study: Potenza hilltop town
  • 16.
  • 17. The case of study: parameters selection Intensity choice 6 5 D5 5 4 D4 3 3 D3 2 2 D2 1 1 D1 Intensity in northern sector Intensity in middle-southern sector Damage level
  • 18. The case of study: parameters selection Kernel choice Cell size choice 0.1m
  • 19. The case of study: parameters selection Bandwidth choice 6.8 Nearest neighbour mean calculated for whole point pattern Fixed for whole point pattern 1 KD map t (m) Methods used to estimate t Bandwidth approach Case
  • 20. The case of study: parameters selection Bandwidth choice Sum of two resultant raster 3.9 6.8 D1-2-3 damage level: average of building’s minimum semi-dimension. D4-5 damage level: nearest neighbour mean calculated for whole point pattern. Two different fixed bandwidths 2 KD map t (m) Methods used to estimate t Bandwidth approach Case
  • 21. The case of study: parameters selection Bandwidth choice Sum of two resultant raster 1.4÷9.9 6.8 4.1 D1-2-3 damage level: building’s minimum semi- Dimension D4-5 damage level: Building’s area ≤ mean + sd nearest neighbour mean calculated for whole point pattern Building’s area > mean + sd nearest neighbour mean calculated for whole point pattern multiplied by correction. One KDE with Fixed method, one with Adaptive method 3 KD map t (m) Methods used to estimate t Bandwidth approach Case
  • 23.