
Environment International, Год журнала: 2024, Номер 195, С. 109207 - 109207
Опубликована: Дек. 16, 2024
Countries in South Asia are suffering severe PM
Язык: Английский
Environment International, Год журнала: 2024, Номер 195, С. 109207 - 109207
Опубликована: Дек. 16, 2024
Countries in South Asia are suffering severe PM
Язык: Английский
Atmospheric chemistry and physics, Год журнала: 2024, Номер 24(4), С. 2239 - 2266
Опубликована: Фев. 22, 2024
Abstract. We use a state-of-the-art regional chemistry transport model (WRF-Chem v4.2.1) to simulate particulate air pollution over northern India during September–November 2016. This period includes severe episode marked by exceedingly high levels of hourly PM2.5 (particulate matter having an aerodynamic diameter ≤ 2.5 µm) 30 October 7 November, particularly the wider Indo-Gangetic Plain (IGP). provide comprehensive evaluation simulated seasonal meteorology (nudged ERA5 reanalysis products) and aerosol (PM2.5 its black carbon (BC) component) using range ground-based, satellite products, with focus on November 2016 haze episode. find daily diurnal features in surface temperature show best agreement followed relative humidity, largest discrepancies being overestimate night-time wind speeds (up 1.5 m s−1) confirmed both ground radiosonde observations. Upper-air comparisons observations excellent skill reproducing vertical gradient (r>0.9). evaluate modelled at 20 observation sites across IGP including eight Delhi compare optical depth (AOD) data from four AERONET sites. also our results MERRA-2 fields MODIS AOD. that captures many observed distributions but tends September (by factor 2) due too much dust, underestimate peak experiences some highest mean concentrations within study region, dominant components nitrate (∼25 %), dust secondary organic aerosols (∼20 %) ammonium (∼10 %). Modelled BC spatially correlate well products whole domain. High AOD 550nm is predicted (r≥0.8) ground-based (r≥0.7), except September. Overall, realistically spatial variations ambient India. However, underestimations pollutant likely come combination underestimated emissions, dispersion, missing or poorly represented processes. Nevertheless, we sufficiently accurate be useful tool for exploring sources processes control episodes.
Язык: Английский
Процитировано
13Agriculture Ecosystems & Environment, Год журнала: 2023, Номер 355, С. 108593 - 108593
Опубликована: Май 20, 2023
This study presents detailed crop and gas flux data from two years of rice production at the experimental farm ICAR-Indian Agricultural Research Institute, New Delhi, India. In comparing 4 nitrogen (N) fertiliser regimes across cultivars (CRD 310, IR-64, MTU 1010, P-44), we have added to growing evidence environmental costs in region. The shows that cultivar can impact yields both grain, total biomass produced given circumstances, with CRD 310 showing consistently high use efficiency (NUE) for compared other tested varieties, but not necessarily highest grain yield, which was P-44 this experiment. While NUE did vary depending on treatments (ranging 41% 73%), translate directly into reduction emissions ammonia (NH3) nitrous oxide (N2O). Emissions were relatively similar different regardless NUE. Conversely, agronomic practices reduced N losses associated higher yield. terms application, outstanding very methane (CH4) as a result incorporating farmyard manure (FYM) paddies, dominated overall effect global warming potential. nitrification urease inhibiting substances decreased N2O overall, NH3 unaffected (or slightly higher). Overall, greatest greenhouse (GHG) came reducing irrigation water fields, resulting N2O, significantly less CH4 emissions, net GHG emission continuous flooding. genetic differences generated more variation yield than management (excluding controls), whereas agronomy larger genetics concerning gaseous losses. suggests mixed approach needs be applied when attempting reduce pollution potential swapping synergies need considered. Finding right balance cultivar, technique type could while getting it wrong considerably poorer pollution.
Язык: Английский
Процитировано
21Atmospheric chemistry and physics, Год журнала: 2024, Номер 24(11), С. 6635 - 6662
Опубликована: Июнь 6, 2024
Abstract. Winter fog and severe aerosol loading in the boundary layer over northern India, particularly Indo-Gangetic Plain (IGP), disrupt daily lives of millions people region. To better understand role aerosol–radiation (AR) feedback on occurrence, spatial extent, persistence winter fog, as well associated aqueous chemistry IGP, several model simulations have been performed using Weather Research Forecasting coupled with Chemistry (WRF-Chem). While WRF-Chem was able to represent formation for 23–24 December 2017 event central IGP comparison station satellite observations, underestimated PM2.5 concentrations compared Central Pollution Control Board (CPCB) India monitoring network. evaluating composition events we found that quite different from measurements obtained during Fog Experiment (WiFEX) Delhi, secondary aerosols, chloride fraction, being strongly underpredicted (∼ 66.6 %). Missing emission sources (e.g., industry residential burning cow dung trash) processes need be investigated improve model–observation agreement. By investigating a weakens turbulence, lowers height, increases relative humidity (RH) within layer. Factors affecting include loss aerosols through deposition cloud droplets internal mixing absorbing scattering aerosols. Aqueous-phase concentrations, which subsequently affect by both increased mass sizes. With interaction aqueous-phase chemistry, began 1–2 h earlier caused longer duration than when these were not included simulation. The increase RH experiments important it promoted growth size water uptake, increasing content IGP. results this study suggest play an air quality intensity lifetime yet other feedbacks, such aerosol–cloud interactions, quantified.
Язык: Английский
Процитировано
8Atmospheric Environment, Год журнала: 2024, Номер 323, С. 120410 - 120410
Опубликована: Фев. 17, 2024
Язык: Английский
Процитировано
6Geoscientific model development, Год журнала: 2024, Номер 17(7), С. 2617 - 2640
Опубликована: Апрель 10, 2024
Abstract. This paper discusses the newly developed Decision Support System version 1.0 (DSS v1.0) for air quality management activities in Delhi, India. In addition to standard forecasts, DSS provides contribution of its surrounding districts, and stubble-burning fires neighboring states Punjab Haryana PM2.5 load Delhi. also quantifies effects local neighborhood emission-source-level interventions on pollution The DSS-simulated Air Quality Index post-monsoon winter seasons 2021–2022 shows high accuracy (up 80 %) a very low false alarm ratio (∼ 20 from day 1 5 especially when ambient index (AQI) is > 300. During season (winter season), emissions rest National Capital Region (NCR)'s biomass-burning activities, all other remaining regions average contribute 34.4 % (33.4 %), 31 (40.2 7.3 (0.1 27.3 (26.4 respectively, peak events (stubble-burning periods or wintertime), however, main sources (farm Punjab–Haryana within Delhi) could reach 65 %–69 %. According DSS, (40 reduction anthropogenic across NCR districts would result 12 (24 Delhi seasonal mean basis. critical tool policymakers because it such information daily through single simulation with plethora emission scenarios.
Язык: Английский
Процитировано
6The Journal of Physical Chemistry C, Год журнала: 2024, Номер 128(41), С. 17674 - 17685
Опубликована: Окт. 3, 2024
Язык: Английский
Процитировано
3Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Апрель 24, 2025
Abstract Wintertime non-refractory submicron particulate matter (NR-PM 1 ) species were measured in Delhi with an Aerodyne Aerosol Chemical Speciation Monitor (ACSM) during February–March 2018. The average NR-PM mass concentration throughout the study was 58.0 ± 42.6 µg m −3 , where contribution of organic aerosol (OA) 69% total . In Delhi, chloride (10%) main inorganic contributor, followed by ammonium (8%), sulfate (7%), and nitrate (6%), contrasting prevalence most urban environments. Source apportionment analysis OA identified five major factors, including three primary contributors: hydrocarbon-like (HOA), biomass burning (BBOA), cooking-related (COA) two secondary oxygenated (OPOA), more-oxidized (MO-OOA). A 19% rise OPOA observed high episodes, suggesting potential role atmospheric chemical transformation OA. Traffic emissions significantly contribute to ambient OA, accounting for at least 41% mass. Furthermore, exhibited low oxidation levels regardless its source. f 44 : 43 revealed slower oxidization compared other locations worldwide. Further investigations, chamber experiments tailored atmosphere, are necessary elucidate oxidants genesis alongside emissions.
Язык: Английский
Процитировано
0Atmospheric chemistry and physics, Год журнала: 2023, Номер 23(23), С. 15165 - 15180
Опубликована: Дек. 13, 2023
Abstract. Tropospheric chlorine chemistry can strongly impact the atmospheric oxidation capacity and composition, especially in urban environments. To account for these reactions, gas- aqueous-phase Cl of community box model Chemistry As A Boxmodel Application/Module Efficiently Calculating Atmosphere (CAABA/MECCA) has been extended. In particular, an explicit mechanism ClNO2 formation following N2O5 uptake to aerosols developed. The updated applied two environments with different concentrations NOx (NO + NO2): New Delhi (India) Leicester (United Kingdom). shows a sharp build-up at sunrise through Cl2 photolysis both Besides photolysis, ClO+NO reaction ClONO are also prominent sources Leicester. High-NOx conditions tend suppress nighttime due titration O3 thus lead lower ClNO2, contrast Major loss is its on chloride, producing Cl2, which consequently leads photolysis. reactivities OH much higher Delhi; however, Cl/OH reactivity ratio up ≈ 9 times greater contribution significant even exceeds (by 2.9 times) that during morning hours Sensitivity simulations suggest additional consumption volatile organic compounds (VOCs) active enhances OH, HO2, RO2 near sunrise. simulation results have important implications future studies air quality.
Язык: Английский
Процитировано
7The Science of The Total Environment, Год журнала: 2024, Номер 947, С. 174604 - 174604
Опубликована: Июль 7, 2024
Язык: Английский
Процитировано
0Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Ноя. 26, 2024
Язык: Английский
Процитировано
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