利用WRF-Chem和Sentinel-5P模拟尼泊尔野火对空气质量的影响

IF 7.3 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution Pub Date : 2025-06-11 DOI:10.1016/j.envpol.2025.126545

Kundan Lal Shrestha , Aakriti Gyawali , Sabina Gyawali , Prayon Joshi , Subodh Sharma

{"title":"利用WRF-Chem和Sentinel-5P模拟尼泊尔野火对空气质量的影响","authors":"Kundan Lal Shrestha , Aakriti Gyawali , Sabina Gyawali , Prayon Joshi , Subodh Sharma","doi":"10.1016/j.envpol.2025.126545","DOIUrl":null,"url":null,"abstract":"<div><div>Nepal is prone to wildfires, which contribute significantly to air pollution during the dry seasons. We studied a series of such wildfire events in Nepal occurring from November 2020 to April 2021. Along with the simulation in the WRF-Chem model, we used Sentinel-5P satellite data for analyzing pollutants during excessive fire events in Nepal. Comparison was done between the concentration obtained from numerical modeling with the satellite observation. Simulation was done for December 2021 using the Fire Inventory from NCAR (FINN) fire emissions dataset, and other anthropogenic emission data. Maximum fire contribution in December 2020 was about 120% increase in NO2, 48% in PM2.5, 35% in PM10, 32% in CO, 28% in SO2, and 17.5% in NH3. Winter season (November–February) had a low fire count but the pre-monsoon season (March–April) had a high fire count in Nepal. Wildfires contributed to high levels of pollution during March and April 2021, due to high fire counts where maximum UV-AAI was 0.8315, and CO and NO2 column number density were 0.067 mol m-2 and 4.1204 × 10-5 mol m-2 respectively. The ground station measured peak PM2.5 concentration in Kathmandu Valley of 270 <math><mi>μ</mi></math>g m-3. Comparison between the WRF-Chem and Sentinel-5P results showed strong correlation (r <math><mo>></mo></math> 0.8) for NO2 and CO. The ground station data also suggests a severe decline in air quality due to the wildfire events (2020–2021) in Nepal. Thus, urgent need for stronger policies and their implementation is needed. Similar integrated studies can be undertaken for data-driven decision-making to identify the wildfire hotspots and their contribution toward the emission and transport of air pollutants.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"382 ","pages":"Article 126545"},"PeriodicalIF":7.3000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling the impact of wildfire on air quality in Nepal using WRF-Chem and Sentinel-5P\",\"authors\":\"Kundan Lal Shrestha , Aakriti Gyawali , Sabina Gyawali , Prayon Joshi , Subodh Sharma\",\"doi\":\"10.1016/j.envpol.2025.126545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Nepal is prone to wildfires, which contribute significantly to air pollution during the dry seasons. We studied a series of such wildfire events in Nepal occurring from November 2020 to April 2021. Along with the simulation in the WRF-Chem model, we used Sentinel-5P satellite data for analyzing pollutants during excessive fire events in Nepal. Comparison was done between the concentration obtained from numerical modeling with the satellite observation. Simulation was done for December 2021 using the Fire Inventory from NCAR (FINN) fire emissions dataset, and other anthropogenic emission data. Maximum fire contribution in December 2020 was about 120% increase in NO2, 48% in PM2.5, 35% in PM10, 32% in CO, 28% in SO2, and 17.5% in NH3. Winter season (November–February) had a low fire count but the pre-monsoon season (March–April) had a high fire count in Nepal. Wildfires contributed to high levels of pollution during March and April 2021, due to high fire counts where maximum UV-AAI was 0.8315, and CO and NO2 column number density were 0.067 mol m-2 and 4.1204 × 10-5 mol m-2 respectively. The ground station measured peak PM2.5 concentration in Kathmandu Valley of 270 <math><mi>μ</mi></math>g m-3. Comparison between the WRF-Chem and Sentinel-5P results showed strong correlation (r <math><mo>></mo></math> 0.8) for NO2 and CO. The ground station data also suggests a severe decline in air quality due to the wildfire events (2020–2021) in Nepal. Thus, urgent need for stronger policies and their implementation is needed. Similar integrated studies can be undertaken for data-driven decision-making to identify the wildfire hotspots and their contribution toward the emission and transport of air pollutants.</div></div>\",\"PeriodicalId\":311,\"journal\":{\"name\":\"Environmental Pollution\",\"volume\":\"382 \",\"pages\":\"Article 126545\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Pollution\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0269749125009182\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Pollution","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0269749125009182","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}

引用次数: 0

摘要

尼泊尔容易发生野火，在旱季造成空气污染。我们研究了2020年11月至2021年4月在尼泊尔发生的一系列此类野火事件。除了WRF-Chem模型中的模拟外，我们还使用了Sentinel-5P卫星数据来分析尼泊尔过度火灾事件期间的污染物。将数值模拟得到的浓度与卫星观测结果进行了比较。利用NCAR （FINN）火灾排放数据集的火灾清单和其他人为排放数据，对2021年12月进行了模拟。2020年12月的最大火灾贡献是NO2增加120%，PM2.5增加48%，PM10增加35%，CO增加32%，SO2增加28%，NH3增加17.5%。冬季（11月至2月）的火灾数量较少，而季风前季节（3月至4月）的火灾数量较多。2021年3月和4月，林火数量较多，最大UV-AAI为0.8315，CO和NO2柱数密度分别为0.067 mol m-2和4.1204 × 10-5 μmol m-2。地面站测得加德满都谷地的PM2.5浓度峰值为270 μg m-3。WRF-Chem和Sentinel-5P结果之间的比较显示，NO2和CO的相关性很强（r >>0.8）。地面站数据还表明，由于尼泊尔的野火事件（2020-2021），空气质量严重下降。因此，迫切需要更强有力的政策及其实施。类似的综合研究可以用于数据驱动的决策，以确定野火热点及其对空气污染物排放和运输的贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Modeling the impact of wildfire on air quality in Nepal using WRF-Chem and Sentinel-5P

查看原文本刊更多论文

Modeling the impact of wildfire on air quality in Nepal using WRF-Chem and Sentinel-5P

Nepal is prone to wildfires, which contribute significantly to air pollution during the dry seasons. We studied a series of such wildfire events in Nepal occurring from November 2020 to April 2021. Along with the simulation in the WRF-Chem model, we used Sentinel-5P satellite data for analyzing pollutants during excessive fire events in Nepal. Comparison was done between the concentration obtained from numerical modeling with the satellite observation. Simulation was done for December 2021 using the Fire Inventory from NCAR (FINN) fire emissions dataset, and other anthropogenic emission data. Maximum fire contribution in December 2020 was about 120% increase in NO₂, 48% in PM_2.5, 35% in PM₁₀, 32% in CO, 28% in SO₂, and 17.5% in NH₃. Winter season (November–February) had a low fire count but the pre-monsoon season (March–April) had a high fire count in Nepal. Wildfires contributed to high levels of pollution during March and April 2021, due to high fire counts where maximum UV-AAI was 0.8315, and CO and NO₂ column number density were 0.067 mol m^-2 and 4.1204 × 10^-5 mol m^-2 respectively. The ground station measured peak PM_2.5 concentration in Kathmandu Valley of 270

μ

g m^-3. Comparison between the WRF-Chem and Sentinel-5P results showed strong correlation (r

>

0.8) for NO₂ and CO. The ground station data also suggests a severe decline in air quality due to the wildfire events (2020–2021) in Nepal. Thus, urgent need for stronger policies and their implementation is needed. Similar integrated studies can be undertaken for data-driven decision-making to identify the wildfire hotspots and their contribution toward the emission and transport of air pollutants.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Environmental Pollution 环境科学-环境科学

CiteScore

16.00

自引率

6.70%

发文量

2082

审稿时长

2.9 months

期刊介绍： Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.