Real-time monitoring of air pollutants in seven cities of North India during crop residue burning and their relationship with meteorology and transboundary movement of air

Ravindra, Khaiwal; Singh, Tanbir; Mor, Sahil; Singh, Vikas; Mandal, T. K.; Bhatti, Manpreet S.; Gahlawat, Suresh Kumar; Dhankhar, Rajesh; Mor, Suman; Beig, Gufran

doi:10.1016/j.scitotenv.2019.06.216

Cited by 113 publications

(53 citation statements)

References 71 publications

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“…It can be seen from [58,59]. Amongst the tier-III cities, the reported mean PM10 concentrations of some specific cities like Jharia and Sonipat were also on the higher side with 333.7±17.86 μg m -3 and 213.67±151.49 μg m -3 for the period March 2011 to February 2012 and 03 December to 06 December 2016 respectively [60,61]. The PM10 concentrations of the 28 Indian cities mentioned in Table 4 also grossly violated the air quality standard values of 20 μg m -3 and 60 μg m -3 enacted by the WHO and NAAQS of India respectively.…”

Section: Pm10 Across Indian Cities: a Reviewmentioning

confidence: 89%

Application and Comparison of MLR, ANN and CART Models for Predicting PM10 Concentration Level of Guwahati City (India)

Dutta¹,

Jinsart²

2020

Preprint

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Indian cities are increasingly becoming susceptible to PM10 induced health effects which have become a matter of concern for the policymakers of the country. Air pollution is engulfing the comparatively smaller cities as the rapid pace of urbanization, and economic development seems not to lose steam ever. A review of air pollution of 28 cities of India, which includes tier-I, II, and III cities of India, found to have grossly violated both WHO and NAAQS standards in respect of acceptable daily average PM10 concentrations by a wide margin. Predicting the city level PM10 concentrations in advance and accordingly initiate prior actions is an acceptable solution to save the city dwellers from PM10 induced health hazards. Predictive ability of three models, linear MLR, nonlinear MLP (ANN), and nonlinear CART, for one day ahead PM10 concentration forecasting of tier-II Guwahati city, were tested with 2016-2018 daily average observed climate data, PM10, and gaseous pollutants. The results show that the non-linear algorithm MLP with feedforward backpropagation network topologies of ANN class, giving the best prediction value when compared with linear MLR and nonlinear CART model. ANN (MLP) approach, therefore, may be useful to effectively derive a predictive understanding of one day ahead PM10 concentration level and thus provide a tool to the policymakers for improving decision-making associated with air pollution and public health.

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Section: Pm10 Across Indian Cities: a Reviewmentioning

confidence: 89%

Application and Comparison of MLR, ANN and CART Models for Predicting PM10 Concentration Level of Guwahati City (India)

Dutta¹,

Jinsart²

2020

Preprint

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“…These programmes helped to significantly increase the adoption of clean fuels, especially in lower-middle-income families and mainly in urban areas. 11,66 However, LPG uptake in rural areas remain a major challenge due to various behavioural, social, cultural, and economical factors such as taste, safety, refilling cost of LPG cylinder, and doorstep delivery. 3,70 Hence, there is a need to extend the scope of clean fuel programme in rural and geographically inaccessible areas.…”

Section: Lung Function Assessmentmentioning

confidence: 99%

Respiratory Health Status of Rural Women Exposed to Liquefied Petroleum Gas and Solid Biomass Fuel Emissions

Kaur-Sidhu

Ravindra

Mor

et al. 2019

Air, Soil and Water Research

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Combustion of solid biomass fuel (SBF) releases a high concentration of airborne pollutants, resulting in household air pollution (HAP). HAP is considered as a leading risk factor for the development of various respiratory diseases. The increased exposure to HAP significantly affects the health of the vulnerable population, including the women, elderly, and children who stay indoors for most of the time. Considering this, self-reported respiratory health symptoms were assessed using a standard American Thoracic Society (ATS) questionnaire, whereas lung function capacity of women using SBF, liquefied petroleum gas (LPG) and mix fuels were assessed using a cross-sectional study design. Lung function capacity was examined with help of spirometry. Results suggest that compared with LPG users, SBF and mix fuel users had a relatively high prevalence of phlegm (25.7%), cough (54%), and eye irritation (74.3%). Use of SBF was found to be associated significantly with lower forced expiratory volume in the first second of expiration (FEV1) values ( P < .01). The study concludes that women cooking with SBF and mix fuels have an impact on lung function and increased prevalence of respiratory symptoms. The findings suggest that women who cook using LPG have improved lung function and respiratory health status. Hence, it is suggested to increase the scope of clean fuel programmes such as Pradhan Mantri Ujjwala Yojana (PMUY) by identifying the barriers for the choice of clean fuel uses for household energy.

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“…Among them, surface albedo is highly sensitive to BB (Jin and Roy, 2005). Due to the cover of black charcoal produced in incomplete combustion, sharp surface albedo decline can be observed over fire-prone areas, which has been proven on several kinds of vegetation covers, including savannah and forest (Govaerts et al, 2002;Jin and Roy, 2005;Myhre et al, 2005;Roy and Landmann, 2005). This kind of "surface darkening" can last for about 1 week or even longer if it is dryer and calmer, before char materials are removed by weathering and vegetation starts to regenerate (Amiro et al, 2006;Beringer et al, 2003;Bremer and Ham, 1999;Trigg and Flasse, 2000;Tsuyuzaki et al, 2008;Veraverbeke et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Biomass-burning-induced surface darkening and its impact on regional meteorology in eastern China

et al. 2020

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Abstract. Biomass burning has attracted great concerns for the emission of particular matters and trace gases, which substantially impacts air quality, human health, and climate change. Meanwhile, large areas of dark char, carbon residue produced in incomplete combustion, can stick to the surface over fire-prone areas after open burning, leading to a sharp drop in surface albedo, so-called “surface darkening”. However, exploration into such surface albedo declines and the radiative and meteorological effects is still fairly limited. As one of the highest-yield agricultural areas, eastern China features intensive straw burning every early summer, the harvest season for winter wheat, which was particularly strong in 2012. Satellite retrievals show that the surface albedo decline over fire-prone areas was significant, especially in the near-infrared band, which can reach −0.16. Observational evidence of abnormal surface warming was found by comparing radiosonde and reanalysis data. Most sites around intensive burned scars show a positive deviation, extending especially in the downwind area. Comparisons between “pre-fire” and “post-fire” from 2007 to 2015 indicated a larger temperature bias of the forecast during the post-fire stage. The signal becomes more apparent between 14:00 and 20:00 LT. Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) simulations suggest that including surface darkening can decrease model bias and well-captured temperature variation after burning at sites in fire areas and their adjacent area. This work highlights the importance of biomass burning induced albedo change in weather forecast and regional climate.

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Real-time monitoring of air pollutants in seven cities of North India during crop residue burning and their relationship with meteorology and transboundary movement of air

Cited by 113 publications

References 71 publications

Application and Comparison of MLR, ANN and CART Models for Predicting PM10 Concentration Level of Guwahati City (India)

Application and Comparison of MLR, ANN and CART Models for Predicting PM10 Concentration Level of Guwahati City (India)

Respiratory Health Status of Rural Women Exposed to Liquefied Petroleum Gas and Solid Biomass Fuel Emissions

Biomass-burning-induced surface darkening and its impact on regional meteorology in eastern China

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