Hotspot driven air pollution during crop residue burning season in the Indo-Gangetic Plain, India

Intensive crop residue burning (CRB) in northern India triggers severe air pollution episodes over the Indo-Gangetic Plain (IGP) each year during October and November. We have quantified the contribution of hotspot districts (HSDs) and total CRB to poor air quality over the IGP. Initially, we invest...

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Veröffentlicht in:Environmental pollution (1987) 2024-06, Vol.350, p.124013-124013, Article 124013
Hauptverfasser: Saharan, Ummed Singh, Kumar, Rajesh, Singh, Siddhartha, Mandal, Tuhin Kumar, Sateesh, M., Verma, Shubha, Srivastava, Akhil
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container_end_page 124013
container_issue
container_start_page 124013
container_title Environmental pollution (1987)
container_volume 350
creator Saharan, Ummed Singh
Kumar, Rajesh
Singh, Siddhartha
Mandal, Tuhin Kumar
Sateesh, M.
Verma, Shubha
Srivastava, Akhil
description Intensive crop residue burning (CRB) in northern India triggers severe air pollution episodes over the Indo-Gangetic Plain (IGP) each year during October and November. We have quantified the contribution of hotspot districts (HSDs) and total CRB to poor air quality over the IGP. Initially, we investigated the spatiotemporal distribution of CRB fire within the domain and pinpointed five HSD in each Punjab and Haryana. Furthermore, we have simulated air quality and quantified the impact of CRB using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), incorporating recent anthropogenic emissions (EDGAR v5) and biomass burning emissions (FINN v2.4) inventories, along with MOZART-MOSAIC chemistry. The key finding is that HSDs contributed ∼80% and ∼50% of the total fire counts in Haryana and Punjab, respectively. The model effectively captured observed PM₂.₅ concentrations, with a normalized mean bias (NMB) below 0.2 and R-squared (R2) exceeding 0.65 at the majority of validation sites. However, some discrepancies were observed at a few sites in Delhi, Punjab, Haryana, and West Bengal. The National Capital Region experienced the highest PM₂.₅ concentrations, followed by Punjab, Haryana, Uttar Pradesh, Bihar, and West Bengal. Moreover, HSDs were responsible for about 70% of the total increase in CRB-induced PM₂.₅ in the western, central, and eastern cities, and around 50% in the northern cities. By eliminating CRB emissions across the domain, we could potentially save approximately 18,000 lives annually. Policymakers, scientists, and institutions can leverage the framework to address air pollution at national and global scales by targeting source-specific hotspots. This approach, coupled with appropriate technological and financial solutions, can contribute to achieving climate change and sustainable development goals. [Display omitted] •Hotspots of Haryana and Punjab contributed ∼80% and ∼50% of the state total fire count respectively•WRF-Chem model simulated PM2.5 peak (∼540 μg/m³) without nudging•Hotspot districts contributed ∼50–70% to total crop residue burning-induced PM2.5 enhancement•∼18,000 lives could be saved by eliminating crop residue burning
doi_str_mv 10.1016/j.envpol.2024.124013
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The National Capital Region experienced the highest PM₂.₅ concentrations, followed by Punjab, Haryana, Uttar Pradesh, Bihar, and West Bengal. Moreover, HSDs were responsible for about 70% of the total increase in CRB-induced PM₂.₅ in the western, central, and eastern cities, and around 50% in the northern cities. By eliminating CRB emissions across the domain, we could potentially save approximately 18,000 lives annually. Policymakers, scientists, and institutions can leverage the framework to address air pollution at national and global scales by targeting source-specific hotspots. This approach, coupled with appropriate technological and financial solutions, can contribute to achieving climate change and sustainable development goals. 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We have quantified the contribution of hotspot districts (HSDs) and total CRB to poor air quality over the IGP. Initially, we investigated the spatiotemporal distribution of CRB fire within the domain and pinpointed five HSD in each Punjab and Haryana. Furthermore, we have simulated air quality and quantified the impact of CRB using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), incorporating recent anthropogenic emissions (EDGAR v5) and biomass burning emissions (FINN v2.4) inventories, along with MOZART-MOSAIC chemistry. The key finding is that HSDs contributed ∼80% and ∼50% of the total fire counts in Haryana and Punjab, respectively. The model effectively captured observed PM₂.₅ concentrations, with a normalized mean bias (NMB) below 0.2 and R-squared (R2) exceeding 0.65 at the majority of validation sites. However, some discrepancies were observed at a few sites in Delhi, Punjab, Haryana, and West Bengal. The National Capital Region experienced the highest PM₂.₅ concentrations, followed by Punjab, Haryana, Uttar Pradesh, Bihar, and West Bengal. Moreover, HSDs were responsible for about 70% of the total increase in CRB-induced PM₂.₅ in the western, central, and eastern cities, and around 50% in the northern cities. By eliminating CRB emissions across the domain, we could potentially save approximately 18,000 lives annually. Policymakers, scientists, and institutions can leverage the framework to address air pollution at national and global scales by targeting source-specific hotspots. This approach, coupled with appropriate technological and financial solutions, can contribute to achieving climate change and sustainable development goals. 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identifier ISSN: 0269-7491
ispartof Environmental pollution (1987), 2024-06, Vol.350, p.124013-124013, Article 124013
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subjects Air Pollutants - analysis
air pollution
Air Pollution - statistics & numerical data
air quality
biomass
chemistry
climate change
Crop residue burning
crop residues
Crops, Agricultural
domain
EDGARv5
Environmental Monitoring - methods
FINNv2.4
Fires
Graphical abstract
Hotspots
India
Indo gangetic plain
MOZART-MOSAIC
Particulate Matter - analysis
Seasons
sustainable development
WRF-Chem
title Hotspot driven air pollution during crop residue burning season in the Indo-Gangetic Plain, India
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