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

Urban Climate, Journal Year: 2023, Volume and Issue: 51, P. 101630 - 101630

Published: July 31, 2023

Language: Английский

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

Stochastic Environmental Research and Risk Assessment, Journal Year: 2022, Volume and Issue: 37(2), P. 453 - 465

Published: Oct. 1, 2022

Language: 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, Journal Year: 2023, Volume and Issue: 37(8), P. 3305 - 3324

Published: April 11, 2023

Language: 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, Journal Year: 2024, Volume and Issue: 3(2), P. 100263 - 100263

Published: Feb. 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.

Language: 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, Journal Year: 2024, Volume and Issue: 21, P. 100242 - 100242

Published: Jan. 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.

Language: 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, Journal Year: 2022, Volume and Issue: 7(1), P. 131 - 149

Published: Nov. 10, 2022

Language: Английский

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

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(3)

Published: March 1, 2024

Language: 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, Journal Year: 2023, Volume and Issue: 30(49), P. 107179 - 107198

Published: March 28, 2023

Language: Английский

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

Geological Journal, Journal Year: 2023, Volume and Issue: 58(12), P. 4360 - 4378

Published: May 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.

Language: 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, Journal Year: 2023, Volume and Issue: 16(12), P. 2553 - 2577

Published: Sept. 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.

Language: Английский

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