Advancing innovative trend analysis for drought trends: incorporating drought classification frequencies for comprehensive insights.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Language: Английский

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Spatiotemporal analysis of sand and dust emission point sources detected from satellite imagery in Syria, Jordan, and Iraq

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 175157 - 175157

Published: July 31, 2024

Language: Английский

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Trend Stability Assessment for Hydrological Drought in Euphrates Basin (Türkiye) Using Triple Wilcoxon Test and Innovative Trend Analysis Methods

Water, Journal Year: 2024, Volume and Issue: 16(19), P. 2823 - 2823

Published: Oct. 4, 2024

This study investigates the stability of hydrological drought trends in Euphrates Basin from 1960 to 2020 using three-dimensional (3D) graphical representations based on innovative trend analysis (ITA) and triple Wilcoxon test (WT) methods. Unlike traditional ITA WT, which are widely used for identification but do not inherently provide information, this employs a novel approach assess visualize stability. The Triple WT method divides data into three equal segments, examining differences without altering time series. Drought indices calculated 3-month, 6-month, 12-month scales historical streamflow five stations. research identifies their stabilities across distinct periods: 1967–1984, 1985–2002, 2003–2020. Results show that as scale increases, between extreme conditions diminish. One station consistently exhibits significantly decreasing trends, while stations unstable with notable variations standardized index (SSFI). use 3D-ITA effectively captures dynamics offering deeper understanding Basin. These findings reference future studies mechanisms various climatic regions.

Language: Английский

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Assessment of water resources sustainability under unilateral development projects using WEAP model in transboundary river basins

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

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A coupled machine-learning and sensitivity analysis framework to link dust activity in the Tigris–Euphrates basin to climatic and human-induced drivers

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121576 - 121576

Published: April 1, 2025

Language: Английский

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Characterization and Transport Pathways of High PM2.5 Pollution Episodes During 2015–2021 in Tehran, Iran

Aerosol and Air Quality Research, Journal Year: 2025, Volume and Issue: 25(5)

Published: May 1, 2025

Abstract Purpose High PM 2.5 pollution episodes can affect entire regions around the world and have substantial impacts on climate, visibility, human health. Understanding main characteristics, origin, transport pathways of is crucial for determining causes, alleviating episodic pollution, regional joint emission control strategies. We used daily average data as well related meteorological data. Methods The STL (Seasonal-Trend decomposition based Loess) method was utilized identification during January to December (2015-2021) in Tehran, Iran. trends duration, frequency, number were assessed baseline compared with these trends. Additionally, characteristics investigated using three categories. Results results showed an all-site annual severity durations being more than 50% higher seasonal trend. episode frequency indicated a reverse relationship between their duration. longer duration magnitude concentration. Greater unfavorable conditions produced episodes. There only one high diel peak midnight (23:00 pm–2:00 am) most monitoring sites Air parcel that air trajectories having highest polluted values varied from intermediate-distance transmission arriving Tehran all total Conclusions These findings provide insights into potential accurate approaches forecasting development effective emergency mitigation strategies anthropogenic emissions drive formation. Graphical

Language: Английский

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A new approach to dust source mapping using visual interpretation and object-oriented segmentation of satellite imagery

Applied Computing and Geosciences, Journal Year: 2024, Volume and Issue: 23, P. 100182 - 100182

Published: July 24, 2024

The emission of dust particles, mainly from arid and semi-arid lands, as a result climate change human activities, is known to be global issue. Identifying sources the first key step in dealing with hazardous consequences this rising phenomenon. This study an attempt address one major challenges mapping sources. Accordingly, innovative approach based on visual interpretation multi-temporal MODIS-Terra/Aqua imagery object-oriented image segmentation techniques has been developed implemented areas Tigris Euphrates basin eastern Iran. takes advantage land surface characteristics (i.e., drivers), including geomorphology, soil, use/cover, radiation, attribute hotspots their corresponding using multi-source remote sensing data. results show that multi-resolution algorithm optimized parameters can identify homogeneous segments average spatial agreement ∼92% compared reference areas. Our findings emphasize robustness generalizability proposed approach, its capabilities used complementary way satellite images map high accuracy.

Language: Английский

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Dust Source Susceptibility in the Lower Mesopotamian Floodplain of Iraq

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 36, P. 101355 - 101355

Published: Sept. 11, 2024

Language: Английский

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Climate Change, Drought, and Water Scarcity in the MENA Region

˜The œhandbook of environmental chemistry, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

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Linking sand/dust storms hotspots and land use over Iran

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: unknown, P. 102380 - 102380

Published: Dec. 1, 2024

Language: Английский

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