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Plugging the ambient air monitoring gaps in India's national clean air programme (NCAP) airsheds
Abstract Building an effective clean air action plan for a city's air pollution problem requires an extensive network of monitoring stations to represent spatial and temporal patterns and an understanding of the sources contributing to the problem. In India, the National Clean Air Programme (NCAP) was launched in 2019 to develop clean air action plans for 131 non-attainment cities, which includes conducting source apportionment studies and establishing emission baselines. As of February 2023, only 39 cities have completed the apportionment studies. In this paper, we present the essential resources needed to strengthen the ambient air monitoring networks, for designing a representative airshed size, sampling size, and sampling frequency, to effectively track the progress made in the cities for better air quality. The NCAP cities were grouped into 104 airsheds (5.3% of the national area), collectively representing a total of 164 cities and a total population of 295 million (21% of the national total). Of these airsheds, 73 contain only one city; 18 contain two cities, and nine contain three cities. Four airsheds – Delhi, Mumbai, Indore, and Chandigarh contain 10, 8, 5, and 5 cities respectively. To measure and analyse particulate matter pollution, a total of 2118 sampling sites are recommended for the 104 airsheds. Cities could consider hybrid monitoring networks by complementing existing regulatory monitoring network with a high-density network of low-cost/sensor-grade monitors. An airshed level air quality management plan, an enhanced monitoring network, and consolidation of information on emission sources, are crucial for optimizing the clean air efforts under NCAP.
Graphical abstract Display Omitted
Highlights Defined 104 airsheds to represent 131 non-attainment cities under NCAP. Defined the minimum number of monitors required in the airsheds. Conducted high-resolution meteorological modelling to determine minimum filter sampling frequency per airshed. Examples of hybrid networks to reduce monitoring costs.
Plugging the ambient air monitoring gaps in India's national clean air programme (NCAP) airsheds
Abstract Building an effective clean air action plan for a city's air pollution problem requires an extensive network of monitoring stations to represent spatial and temporal patterns and an understanding of the sources contributing to the problem. In India, the National Clean Air Programme (NCAP) was launched in 2019 to develop clean air action plans for 131 non-attainment cities, which includes conducting source apportionment studies and establishing emission baselines. As of February 2023, only 39 cities have completed the apportionment studies. In this paper, we present the essential resources needed to strengthen the ambient air monitoring networks, for designing a representative airshed size, sampling size, and sampling frequency, to effectively track the progress made in the cities for better air quality. The NCAP cities were grouped into 104 airsheds (5.3% of the national area), collectively representing a total of 164 cities and a total population of 295 million (21% of the national total). Of these airsheds, 73 contain only one city; 18 contain two cities, and nine contain three cities. Four airsheds – Delhi, Mumbai, Indore, and Chandigarh contain 10, 8, 5, and 5 cities respectively. To measure and analyse particulate matter pollution, a total of 2118 sampling sites are recommended for the 104 airsheds. Cities could consider hybrid monitoring networks by complementing existing regulatory monitoring network with a high-density network of low-cost/sensor-grade monitors. An airshed level air quality management plan, an enhanced monitoring network, and consolidation of information on emission sources, are crucial for optimizing the clean air efforts under NCAP.
Graphical abstract Display Omitted
Highlights Defined 104 airsheds to represent 131 non-attainment cities under NCAP. Defined the minimum number of monitors required in the airsheds. Conducted high-resolution meteorological modelling to determine minimum filter sampling frequency per airshed. Examples of hybrid networks to reduce monitoring costs.
Plugging the ambient air monitoring gaps in India's national clean air programme (NCAP) airsheds
Guttikunda, Sarath (Autor:in) / Ka, Nishadh (Autor:in) / Ganguly, Tanushree (Autor:in) / Jawahar, Puja (Autor:in)
Atmospheric Environment ; 301
08.03.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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