Contribution of regional versus trans-regional anthropogenic sources to the particulate matter over western India derived from high-resolution modeling

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Atmospheric Environment: X Pub Date : 2024-04-01 DOI:10.1016/j.aeaoa.2024.100268
Shubham Dhaka , Shipra Lakshmi , Narendra Ojha , Andrea Pozzer , Amit Sharma
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Abstract

Elevated concentrations of particulate matter (PM) significantly deteriorate the air quality; however, the contributions from regional versus remote anthropogenic sources have remained uncertain over the western Indian region. In this regard, we have performed high-resolution regional modeling (WRF-Chem v3.9.1) to quantify the contribution of regional versus trans-regional anthropogenic sources to PM2.5 (fine PM) and PM2.5-10 (coarse PM) concentrations in contrasting seasons. Seasonal variability in spatial mean Aerosol Optical Depth (AOD) derived from the WRF-Chem model (0.21–0.42) agreed reasonably with MERRA-2 reanalysis (0.29–0.54) and MODIS satellite (0.23–0.51) over western India. Variability in surface PM2.5 and PM10 concentrations were also reproduced as per the benchmarks (|Fractional Bias| ≤ 60% and |Fractional Error| ≤ 75%) at most of the stations in this region. Results from sensitivity simulations reveal the dominant contribution of both regional and trans-regional anthropogenic sources to PM2.5 concentrations over western India in winter and post-monsoon, when PM2.5 concentrations are generally high. On the other hand, contribution from background levels (due to domain-wide natural emissions, fire emissions and pollutant transport from beyond domain boundaries) is highest during pre-monsoon and monsoon with a significant contribution of mineral dust especially to PM2.5-10 (coarse PM). Analysis of PM spatial distribution at ∼900hpa pressure level reveals greater relative contributions of trans-regional emissions and background levels compared to that near the surface. Our study highlights key roles of trans-regional anthropogenic emissions and mineral dust, besides the local and regional emissions, in air pollution over western India. The quantitative analyses presented here would be useful for designing measures to minimize health and environmental impacts in line with the objectives of the National Clean Air Programme (NCAP) in India.

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通过高分辨率建模得出的印度西部上空颗粒物的区域和跨区域人为来源的比例
颗粒物(PM)浓度升高会严重恶化空气质量;然而,在印度西部地区,区域与远程人为源的贡献仍不确定。为此,我们进行了高分辨率区域建模(WRF-Chem v3.9.1),以量化区域和跨区域人为源在不同季节对 PM2.5(细颗粒物)和 PM2.5-10(粗颗粒物)浓度的贡献。WRF-Chem 模型得出的空间平均气溶胶光学深度(AOD)的季节变化(0.21-0.42)与印度西部的 MERRA-2 再分析(0.29-0.54)和 MODIS 卫星(0.23-0.51)吻合。该地区大部分站点的地表 PM2.5 和 PM10 浓度的变化也按照基准("分数偏差"≤ 60% 和 "分数误差"≤ 75%)进行了再现。敏感性模拟的结果显示,在印度西部冬季和季风后,区域和跨区域人为源对 PM2.5 浓度的贡献占主导地位,此时 PM2.5 浓度通常较高。另一方面,在季风前和季风期间,本底水平的贡献(由于域范围内的自然排放、火灾排放和来自域边界以外的污染物迁移)最大,尤其是矿物粉尘对 PM2.5-10(粗颗粒物)的贡献很大。对 ∼900hpa 压力水平的可吸入颗粒物空间分布的分析表明,与近地面的可吸入颗粒物空间分布相比,跨区域排放和本底水平的相对贡献更大。我们的研究强调了除本地和区域排放外,跨区域人为排放和矿物尘埃在印度西部空气污染中的关键作用。这里提出的定量分析将有助于根据印度国家清洁空气计划(NCAP)的目标设计措施,最大限度地减少对健康和环境的影响。
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来源期刊
Atmospheric Environment: X
Atmospheric Environment: X Environmental Science-Environmental Science (all)
CiteScore
8.00
自引率
0.00%
发文量
47
审稿时长
12 weeks
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