Predict the effect of meteorological factors on haze using BP neural network

Urban Climate, Год журнала: 2023, Номер 51, С. 101630 - 101630

Опубликована: Июль 31, 2023

Язык: Английский

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Exposure and health: A progress update by evaluation and scientometric analysis

Stochastic Environmental Research and Risk Assessment, Год журнала: 2022, Номер 37(2), С. 453 - 465

Опубликована: Окт. 1, 2022

Язык: Английский

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Street dust in the largest urban agglomeration: pollution characteristics, source apportionment and health risk assessment of potentially toxic trace elements

Stochastic Environmental Research and Risk Assessment, Год журнала: 2023, Номер 37(8), С. 3305 - 3324

Опубликована: Апрель 11, 2023

Язык: Английский

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Navigating climate change in southern India: A study on dynamic dry-wet patterns and urgent policy interventions

Geosystems and Geoenvironment, Год журнала: 2024, Номер 3(2), С. 100263 - 100263

Опубликована: Фев. 3, 2024

This study investigates the evolving dry-wet climate patterns in southern India during 2020-2023, focusing on impact of change. Spanning all 30 districts Tamil Nadu, our analysis employs HadGEM3-GC31-LL model, projecting a significant increase humidity levels from 2021 to 2100. Key findings reveal consistently higher post-monsoon aridity indices compared monsoon season, exceeding 0.65 and raising concerns about potential flash floods. Regions most affected include Kanniyakumari, Nilgiris, Chennai others. To address these challenges, recommends urgent policy interventions, emphasizing water conservation through initiatives like farm pond construction. Tailored policies are crucial shield farmers dairy producers economic fallout, with an emphasis integrating indigenous knowledge for effective change adaptation. In summary, this research highlights need immediate action, advocating comprehensive strategies such as tailored enhance resilience mitigate studied regions.

Язык: Английский

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Spatio-temporal assessment of aerosol and cloud properties using MODIS satellite data and a HYSPLIT model: Implications for climate and agricultural systems

Atmospheric Environment X, Год журнала: 2024, Номер 21, С. 100242 - 100242

Опубликована: Янв. 1, 2024

Understanding the spatiotemporal dynamics of aerosol optical characteristics is crucial for assessing their impact on climate system. This study focuses Aerosol Optical Depth (AOD) at 550 nm, measured by Moderate-resolution Imaging Spectroradiometer (MODIS) aboard Terra satellite, over a decade (2011–2021) in ten major cities across Pakistan. Our primary objectives were to investigate AOD variability, assess its correlation with cloud parameters, examine source and trajectory aerosol-laden air masses, analyze relationship between Angstrom exponent. We employed Hybrid single-particle Lagrangian Integrated Trajectory (HYSPLIT) model trace mass origins paths. exhibited highest values low-latitude urban areas, reflecting significant human activity. Conversely, high-altitude mountainous regions displayed lowest levels. In summer (June–August), peaked 1.19, while winter (December–February), it dropped 0.24. The negative exponent, particularly southern western Pakistan, highlighted particle size variations. further explored relationships five parameters: water vapor (WV), fraction (CF), thickness (COT), top temperature (CTT), pressure (CTP). These found be weather-dependent. provides valuable insights into spatio-temporal contributing better understanding climate. information essential scientists, meteorologists, environmental departments, facilitating informed decision-making modeling region.

Язык: Английский

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Temporal and Spatial Variations of Satellite-Based Aerosol Optical Depths, Angstrom Exponent, Single Scattering Albedo, and Ultraviolet-Aerosol Index over Five Polluted and Less-Polluted Cities of Northern India: Impact of Urbanization and Climate Change

Aerosol Science and Engineering, Год журнала: 2022, Номер 7(1), С. 131 - 149

Опубликована: Ноя. 10, 2022

Язык: Английский

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Intricacies Unveiled: A Review Bridging Gaps in Aerosol-Lightning Dynamics for a Holistic Perspective

Water Air & Soil Pollution, Год журнала: 2024, Номер 235(3)

Опубликована: Март 1, 2024

Язык: Английский

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Assessment of urban sprawls, amenities, and indifferences of LST and AOD in sub-urban area: a case study of Jammu

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(49), С. 107179 - 107198

Опубликована: Март 28, 2023

Язык: Английский

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Micro‐ to macro‐scaling analysis of PM_2.5 in sensitive environment of Himalaya, India

Geological Journal, Год журнала: 2023, Номер 58(12), С. 4360 - 4378

Опубликована: Май 21, 2023

Fine particulate matter (PM) in the atmosphere has become a significant air contaminant with substantial health consequences. Although airborne remote sensing and ground sensor monitoring can offer quality datasets containing PM 2.5 , there are limitations to effectively analysing large long‐term datasets. The research aims evaluate over Himalayan region using multifractal approach for data time series. Fractal dimension (FD), Hurtz exponent (H), predictability (PI) estimated rescaled range. is found have high concentration frequency throughout day. same night hours during peak tourism months. hourly series shown multifractality. primary reason this emissions produced by vehicles anthropocentric activities region. H used assess dynamic features of terms persistence self‐correlation. In context climate change studies, it crucial monitor spatial distribution behaviour foothills. This study provide prediction analyses index (AQI) estimates demonstrate how concentrations alter sensitive environment micro macro scale. will help us build strategy reducing harmful effect increasing pollution levels on ecosystem human health.

Язык: Английский

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Identifying the natural and anthropogenic drivers of absorbing aerosols using OMI data and HYSPLIT model over South Asia

Air Quality Atmosphere & Health, Год журнала: 2023, Номер 16(12), С. 2553 - 2577

Опубликована: Сен. 5, 2023

Abstract Aerosols absorption contributes significantly to the total radiative effects of aerosols and so an important component forcing estimates. Therefore, this study explores spatiotemporal distribution ultraviolet aerosol index (UVAI), future trends, potential sources absorbing their relationship with temperature, wind speed, precipitation ozone column using Ozone Monitoring Instrument retrieved UVAI HYSPLIT model over South Asia during October 2004 March 2022. The mean within ranges 0.56–1.62 are observed Eastern Southern Pakistan Northern India associated dust biomass burning aerosols. interannual variations in show that values increases from 1.73 3.11 2018–2021 Indo-Gangetic Plain. Contrary this, < 0 is along Karakorum Himalaya range 2005–2021 indicating presence non-absorbing interaannual U VAI reveal highest 0.64 December followed by 0.51 July Asia. Seasonally, shows increasing trend at rate 0.9064 DJF −1 , 0.3810 JJA 0.2707 SON 0.0774 MAM A positive correlation 0.56 between speed 0.43 India. 0.1409, 0.1124, 0.1224, 0.1015, 0.1242 0.2054 per year Lahore, Karachi, Kanpur, New-Delhi, Varanasi, Dhaka maximum 5.55, 4.47, 4.51, 4.99, 4.61 4.65 respectively period. anthropogenic productivity analysis reveals primary industry secondary lowering whereas tertiary industry, energy consumption gross domestic products increase loading Moreover, cluster further localized trans-boundary selected cities.

Язык: Английский

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