Action Plans to Reduce PM2.5 Concentrations in Hotspots of Delhi-NCR Using a One-way Coupled Modeling Approach

Abstract The concentration of PM2.5 in Delhi, one of the most polluted capital cities globally, frequently exceeds the Indian National Ambient Air Quality Standards, especially during the post-monsoon and winter months. This study evaluates the changes in PM2.5 concentrations across Delhi using a on...

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Main Authors: Shubham Sharma, Mukesh Khare, Sri Harsha Kota
Format: Article
Language:English
Published: Springer 2022-04-01
Series:Aerosol and Air Quality Research
Subjects:
Online Access:https://doi.org/10.4209/aaqr.210377
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author Shubham Sharma
Mukesh Khare
Sri Harsha Kota
author_facet Shubham Sharma
Mukesh Khare
Sri Harsha Kota
author_sort Shubham Sharma
collection DOAJ
description Abstract The concentration of PM2.5 in Delhi, one of the most polluted capital cities globally, frequently exceeds the Indian National Ambient Air Quality Standards, especially during the post-monsoon and winter months. This study evaluates the changes in PM2.5 concentrations across Delhi using a one way coupled model (WRF-CMAQ-AERMOD) for various hotspot-specific intervention scenarios during post-monsoon and winter of 2018. PM2.5 concentrations reduced up to 15% by scaling down total emissions across Delhi by 20%. An additional 9% reduction across entire Delhi and ~28% reduction at the top ten observation-based hotspots could be achieved if emissions of industry, unpaved road dust and construction in selected emission hotspots are made zero. Non-local contribution in hotspots of the city varied significantly. For example, the difference in the reductions of PM2.5 concentrations from citywide versus hotspot-specific interventions is estimated to be 28% at DU North Campus and 11% at Anand Vihar. An average reduction of 12% was computed when construction and MSW burning emissions were down sized 100% in the locations identified based on compliance complaints received at the Central Pollution Control Board’s online complaint portal. A marginal reduction of 4% estimated for the previously implemented traffic rationing measure, the odd-even rule, indicates that such regulation of vehicles alone might be inefficacious. The results suggest that stakeholders must focus on—(a) source and hotspot-specific interventions alongside city wide interventions to significantly reduce ambient PM2.5 concentrations, (b) local and non-local contributions from regions outside the hotspot grid needs to be carefully considered for estimating efficacy of an action plan.
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spelling doaj-art-a77f02075da94b889eaae895cb0ef2122025-02-09T12:17:22ZengSpringerAerosol and Air Quality Research1680-85842071-14092022-04-0122611610.4209/aaqr.210377Action Plans to Reduce PM2.5 Concentrations in Hotspots of Delhi-NCR Using a One-way Coupled Modeling ApproachShubham Sharma0Mukesh Khare1Sri Harsha Kota2Department of Civil Engineering, Indian Institute of Technology DelhiDepartment of Civil Engineering, Indian Institute of Technology DelhiDepartment of Civil Engineering, Indian Institute of Technology DelhiAbstract The concentration of PM2.5 in Delhi, one of the most polluted capital cities globally, frequently exceeds the Indian National Ambient Air Quality Standards, especially during the post-monsoon and winter months. This study evaluates the changes in PM2.5 concentrations across Delhi using a one way coupled model (WRF-CMAQ-AERMOD) for various hotspot-specific intervention scenarios during post-monsoon and winter of 2018. PM2.5 concentrations reduced up to 15% by scaling down total emissions across Delhi by 20%. An additional 9% reduction across entire Delhi and ~28% reduction at the top ten observation-based hotspots could be achieved if emissions of industry, unpaved road dust and construction in selected emission hotspots are made zero. Non-local contribution in hotspots of the city varied significantly. For example, the difference in the reductions of PM2.5 concentrations from citywide versus hotspot-specific interventions is estimated to be 28% at DU North Campus and 11% at Anand Vihar. An average reduction of 12% was computed when construction and MSW burning emissions were down sized 100% in the locations identified based on compliance complaints received at the Central Pollution Control Board’s online complaint portal. A marginal reduction of 4% estimated for the previously implemented traffic rationing measure, the odd-even rule, indicates that such regulation of vehicles alone might be inefficacious. The results suggest that stakeholders must focus on—(a) source and hotspot-specific interventions alongside city wide interventions to significantly reduce ambient PM2.5 concentrations, (b) local and non-local contributions from regions outside the hotspot grid needs to be carefully considered for estimating efficacy of an action plan.https://doi.org/10.4209/aaqr.210377PM2.5WRF-CMAQ-AERMODDelhiIntervention scenariosHotspot
spellingShingle Shubham Sharma
Mukesh Khare
Sri Harsha Kota
Action Plans to Reduce PM2.5 Concentrations in Hotspots of Delhi-NCR Using a One-way Coupled Modeling Approach
Aerosol and Air Quality Research
PM2.5
WRF-CMAQ-AERMOD
Delhi
Intervention scenarios
Hotspot
title Action Plans to Reduce PM2.5 Concentrations in Hotspots of Delhi-NCR Using a One-way Coupled Modeling Approach
title_full Action Plans to Reduce PM2.5 Concentrations in Hotspots of Delhi-NCR Using a One-way Coupled Modeling Approach
title_fullStr Action Plans to Reduce PM2.5 Concentrations in Hotspots of Delhi-NCR Using a One-way Coupled Modeling Approach
title_full_unstemmed Action Plans to Reduce PM2.5 Concentrations in Hotspots of Delhi-NCR Using a One-way Coupled Modeling Approach
title_short Action Plans to Reduce PM2.5 Concentrations in Hotspots of Delhi-NCR Using a One-way Coupled Modeling Approach
title_sort action plans to reduce pm2 5 concentrations in hotspots of delhi ncr using a one way coupled modeling approach
topic PM2.5
WRF-CMAQ-AERMOD
Delhi
Intervention scenarios
Hotspot
url https://doi.org/10.4209/aaqr.210377
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