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AIR POLLUTION DISPERSION AND MODELING USING COMPUTERS By:- KETAN WADODKAR Enroll no. 10519013 Guided by:- U.B. CHITRANSHI
[object Object],[object Object],[object Object],[object Object],[object Object],AIR POLLUTION STUDY AND ITS IMPORTANCE
Affects visibility and also the aesthetics
HOW THEY MOVE / TRANSPORT OF AIR POLLUTANT BASICS
[object Object],[object Object],[object Object],[object Object],[object Object]
BUOYANCY = PLUME RISE
[object Object]
Inversion super adiabatic sub adiabatic Dry adiabatic lapse rate = neutral DALR
STABILITY AFFECTS PLUME SHAPE / PLUME BEHAVIOR
 
AIR POLLUTION DISPERSION MODELING
WHAT IS DISPERSION MODELING ,[object Object],[object Object],[object Object]
WHY DISPERSION MODELING IS REQUIRED ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Emissions Modeling Controls Economics Visualization Effects Pollutant Distributions Meteorological Fields Numerical Routines Atmospheric Chemistry Meteorological Modeling Emissions Inputs Inputs: Population Roads  Land Use Industry Meteorology Inputs: Topography Observed Meteorology Solar insolation
BASICS OF AIR POLLUTION DISPERSION MODELS ,[object Object],[object Object],[object Object]
INPUT DATA REQUIRED FOR DISPERSION MODELS ,[object Object],[object Object],[object Object],[object Object]
TYPES OF AIR POLLUTION DISPERSION MODELS ,[object Object],[object Object],[object Object],[object Object],[object Object]
BOX MODEL (FIXED BOX MODEL) ,[object Object],[object Object],[object Object],[object Object]
 
[object Object],[object Object],[object Object],[object Object],[object Object]
GAUSSIAN DISPERSION MODEL ,[object Object],[object Object],[object Object],[object Object]
GAUSSIAN DISPERSION MODEL C(x,y,z) Downwind at (x,y,z)  ?  h h H z x y   h = plume rise h = stack height H = effective stack height H = h +   h
[object Object],[object Object],[object Object]
MODEL ASSUMPTIONS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GAUSSIAN PLUME DISPERSION ,[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],h = physical stack height ∆ h = plume rise
FIGURE 4-3 WARK, WARNER & DAVIS ,[object Object]
FIGURE 4-4 WARK, WARNER & DAVIS ,[object Object]
STACK HEIGHT AND PLUME RISE BY HOLLAND'S EQUATION
AS GAUSSIANS MODEL REQUIRES INPUT OF H WHICH IS POLLUTANT’S PLUME CENTERLINE ABOVE GROUND LEVEL WHICH IS OBTAINED BY BRIGG'S EQUATION ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GAUSSIAN MODEL ACCORDING TO A SOFTWARE NAMED SCREEN3
COMPUTER MODEL STRUCTURE INPUT DATA: Operator experience METEROLOGY EMISSIONS RECEPTORS Model Output: Estimates of Concentrations at Receptors Model does calculations
LAGRANGIAN MODEL ,[object Object],[object Object],[object Object],[object Object]
EULERIAN MODEL ,[object Object],[object Object],[object Object],[object Object]
STRUCTURE OF BASIC EULERIAN MODEL
DENSE GAS MODELS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
 

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Airpollution Dispersion And Modelling Using Computers Ub Chitranshi

Editor's Notes

  1. Why? To predict or to understand the meteorology at that height and temperature. Use with method 9 (smoke school) Important to start seeing the release height of stack in relationship to the temperature profile