Identification of Critical Locations for Improvement of Air Quality Developing a Prioritized Clean Air Assessment Tool (PCAT)

IF 2.1 Q3 ENVIRONMENTAL SCIENCES
Kanishtha Dubey, S. Verma, S. Santra, Mukul Kumar
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引用次数: 0

Abstract

Fourteen Indian cities, including urban and rural locations, were chosen for the present study across India, with unhealthy air quality based on National Air Quality Index (NAQI > 100). However, it was found that NAQI values over the locations are driven by the undifferentiated mass concentration of particulate matter (PM, both PM10 and PM2.5) than other criteria pollutants. The PM2.5 and PM10 concentration during the winter violated the National Ambient Air Quality Standards (NAAQS) of India by two to five times at six urban locations, with the mean daily PM2.5 concentration averaged over the month; the the largest being at Patna (353 µg m−3) during the winter and lowest at Bengaluru (27 µg m−3) during the summer. The analysis of chemical species, in general, indicated NO2 (SO2, CO) as having a 25% to 70% (16% to 50%, 16% to 85%) increase in concentration from the summer to winter, which is adequately reflected in higher fuzzy scores during the winter. Thus, to provide a realistic approach to air quality management, the present study focuses on identifying priority-based locations requiring immediate mitigation measures by developing a Prioritized Clean Air Assessment Tool (PCAT). The tool utilizes a fuzzy-based algorithm to incorporate the cumulative effect of all six criteria pollutants, taking into consideration the severity of their expected health implications. Using PCAT, Delhi and Varanasi cities are identified for prioritized mitigation considering the NAAQS of India, unlike all cities (except Bengaluru) during the winter and nine out of fourteen cities during the summer, considering the NAQI. Using more stringent WHO guideline values in PCAT, six cities out of fourteen were identified requiring immediate mitigation during the winter and summer months; locations such as Solapur and Patna are identified to need season-specific mitigation measures during the summer and winter, respectively. The tool is simplistic, user-friendly, and quickly evaluates multiple locations simultaneously to provide priority sites.
确定改善空气质量的关键位置开发优先清洁空气评估工具(PCAT)
本研究选择了14个印度城市,包括城市和农村地区,根据国家空气质量指数(NAQI bbb100),印度的空气质量不健康。然而,研究发现,这些地区的NAQI值是由颗粒物(PM,包括PM10和PM2.5)与其他标准污染物的无差别质量浓度驱动的。冬季,六个城市的PM2.5和PM10浓度违反了印度国家环境空气质量标准(NAAQS)的2至5倍,其中PM2.5的日平均浓度是一个月的平均值;冬季在巴特那最大(353µg m−3),夏季在班加罗尔最低(27µg m−3)。化学物质分析表明,从夏季到冬季,NO2 (SO2, CO)浓度增加了25% ~ 70%(16% ~ 50%,16% ~ 85%),这充分反映在冬季较高的模糊分数中。因此,为了提供一种切合实际的空气质量管理方法,本研究的重点是通过开发优先清洁空气评估工具(PCAT),确定需要立即采取缓解措施的优先地点。该工具利用基于模糊的算法,将所有六种标准污染物的累积效应纳入考虑,并考虑其预期健康影响的严重程度。使用PCAT,考虑到印度的NAAQS,德里和瓦拉纳西城市被确定为优先缓解,不像所有城市(班加罗尔除外)在冬季和14个城市中的9个在夏季,考虑到NAQI。使用世卫组织更严格的PCAT指导值,14个城市中有6个被确定需要在冬季和夏季月份立即缓解;Solapur和Patna等地点被确定分别在夏季和冬季需要采取特定季节的缓解措施。该工具非常简单,用户友好,并且可以同时快速评估多个位置以提供优先站点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
自引率
0.00%
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0
审稿时长
11 weeks
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