Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan DOI Creative Commons
Adil Dilawar, Baozhang Chen, Zia ul Haq

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(8), P. 2084 - 2084

Published: April 14, 2023

To reduce air pollution, China adopted rigorous control mechanisms and announced the Air Pollution Prevention Control Action Plan (APPCAP) in 2013. Here, using OMI satellite, NASA Socioeconomic Data Application Center (SEDAC), Fifth ECMWF (ERA5) data at a 0.25° × resolution, we explored changes NO2, PM, SO2, O3 climatology over response to between 2004 2021. This study attempts investigate long term trend analysis of pollution climatic variations during two scenarios before (2004–2013) after (2013–2021) APPCAP. We investigated effects APPCAP adoption geographically weighted regression (GWR) differential models assess contribution pollution. The spatial representation demonstrated how affected factors Several important findings were derived: (1) significantly influenced reduction post-scenario (2013–2021); (2) Mann Kendall test that all pollutants showed an increasing pre-APPCAP, while they decreasing trend, except for O3, post-APPCAP; (3) factors, MK precipitation mean minimum temperature tmin (4) innovative (ITA) although no (5) pre-scenario, NO2 contributed increase maximum (tmax) by 0.62 °C, PM raising 0.41 reduced tmax(tmin) 0.15 °C (0.05 °C). increased tmax with magnitude 0.38 (7.38 mm), (0.35 °C), respectively, post-scenario. In particular, led across China. results discussion presented this can be beneficial policymakers establish long-term management plans climatological changes.

Language: Английский

Predict the effect of meteorological factors on haze using BP neural network DOI
Jie Chen, Zhixin Liu, Zhengtong Yin

et al.

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

Published: July 31, 2023

Language: Английский

Citations

118
Exposure and health: A progress update by evaluation and scientometric analysis DOI Open Access
Roshini Praveen Kumar,

Steffi Joseph Perumpully,

Cyril Samuel

et al.

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

Published: Oct. 1, 2022

Language: Английский

Citations

86
Street dust in the largest urban agglomeration: pollution characteristics, source apportionment and health risk assessment of potentially toxic trace elements DOI

Md. Badiuzzaman Khan,

Shamsunnahar Setu,

Niger Sultana

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2023, Volume and Issue: 37(8), P. 3305 - 3324

Published: April 11, 2023

Language: Английский

Citations

28
Navigating climate change in southern India: A study on dynamic dry-wet patterns and urgent policy interventions DOI Creative Commons
Sneha Gautam,

Jasmin Shany

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

Citations

12
Spatio-temporal assessment of aerosol and cloud properties using MODIS satellite data and a HYSPLIT model: Implications for climate and agricultural systems DOI Creative Commons
Muhammad Haseeb, Zainab Tahir, Syed Amer Mahmood

et al.

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

Citations

11
Intricacies Unveiled: A Review Bridging Gaps in Aerosol-Lightning Dynamics for a Holistic Perspective DOI

Fatemeh Rahmani Firoozjaee,

Sneha Gautam, Cyril Samuel

et al.

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

Published: March 1, 2024

Language: Английский

Citations

6
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 DOI Open Access

Rolly Singh,

Vikram Singh, Alok Sagar Gautam

et al.

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

Published: Nov. 10, 2022

Language: Английский

Citations

25
Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land DOI Creative Commons
Leiku Yang,

Weiqian Ji,

Pei Xin

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1), P. 1 - 24

Published: April 25, 2024

The Medium Resolution Spectral Image (MERSI) is a MODIS-like sensor aboard Fengyun-3 satellite. first version of MERSI aerosol algorithm has been developed based on MODIS dark target (DT) algorithm, with modified models for estimating surface reflectance and an adjusted inland water masking method to release haze aerosols. This study applies DT the global observations from upgraded (MERSI-II) Fengyun-3D. And then, Aerosol Optical Depth (AOD) results year 2019–2020 are validated against Robotic Network (AERONET) data. In addition, analyses spatial distribution error characteristics MERSI-II retrievals presented. overall validation demonstrates that perform well globally, correlation coefficient 0.877 67.1% matchups within Expected Error envelope ± (0.05 + 0.2τ), which close statistic metrics products. AODs exhibit similar trends dependence. Moreover, two revealed in retrieval performance at site regional scales, as analysis monthly averages. These findings indicate success ported algorithm.

Language: Английский

Citations

5
Assessment of urban sprawls, amenities, and indifferences of LST and AOD in sub-urban area: a case study of Jammu DOI
Divyesh Varade, Hemant Singh, Abhinav Pratap Singh

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(49), P. 107179 - 107198

Published: March 28, 2023

Language: Английский

Citations

13
Identifying the natural and anthropogenic drivers of absorbing aerosols using OMI data and HYSPLIT model over South Asia DOI Creative Commons
Hasan Nawaz, Salman Tariq, Zia ul Haq

et al.

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

Citations

12