The challenge of identifying dust events in a highly polluted Eastern Mediterranean region

The Science of The Total Environment, Год журнала: 2024, Номер 953, С. 175920 - 175920

Опубликована: Сен. 6, 2024

Язык: Английский

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Construction of ecological security patterns in typical arid regions based on the synergy of efficient ecological water utilization and environmental quality enhancement

CATENA, Год журнала: 2025, Номер 249, С. 108713 - 108713

Опубликована: Янв. 13, 2025

Язык: Английский

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Long-term perspectives on land-use changes and air pollution policies in Iran: A comparative analysis of regional and global patterns in atmospheric PM2.5

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124346 - 124346

Опубликована: Фев. 1, 2025

Язык: 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, Год журнала: 2025, Номер unknown, С. 121576 - 121576

Опубликована: Апрель 1, 2025

Язык: Английский

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The contribution of erosive winds to dust pollution and analyzing influential factors in Yazd province, central Iran

International Journal of Environmental Science and Technology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 13, 2025

Язык: Английский

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Seasonality of dust optical depth over Arabian Peninsula using MIDAS data

International Journal of Remote Sensing, Год журнала: 2025, Номер unknown, С. 1 - 25

Опубликована: Апрель 28, 2025

Язык: 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, Год журнала: 2025, Номер 25(5)

Опубликована: Май 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

Язык: Английский

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Long-Term Wind and Air Temperature Patterns in the Southeastern Region of Iran through Model Simulation and Ground Observations

Atmosphere, Год журнала: 2024, Номер 15(8), С. 993 - 993

Опубликована: Авг. 19, 2024

Dust storms are one of the important natural hazards that affect lives inhabitants all around world, especially in North Africa and Middle East. In this study, wind speed, direction, air temperature patterns investigated dustiest cities Sistan Basin, Zahedan City, located southeast Iran, over a 17-year period (2004–2020) using WRF model ground observation data. The city is near dust source mostly affected by local storms. World Meteorology Organization (WMO) dust-related codes show was dust, with 52 percent total events occurring during (2004–2021). city’s weather station reported 17.5% 43% were minimum maximum dusty days, respectively, 2004–2021. summer July considered season month city. Since temperature, direction factors rising propagation, these meteorological simulated Weather Research Forecasting (WRF) for station. model’s output found to be highly correlated data; however, simulation overestimated when compared data study (2004–2020). had reasonable performance class frequency distribution at station, demonstrating 42.6% between 0.5 2, which good agreement (42% range 0.5–2). So, effectively despite overestimating speed as well minimum, maximum, average temperatures period.

Язык: Английский

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Exploring the Trends of Aerosol Optical Depth and Its Relationship with Climate Variables over Saudi Arabia

Earth Systems and Environment, Год журнала: 2024, Номер unknown

Опубликована: Сен. 18, 2024

Язык: Английский

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Investigating the Impact of Large Lakes on Local Precipitation: Case Study of Lake Urmia, Iran

Water, Год журнала: 2024, Номер 16(9), С. 1250 - 1250

Опубликована: Апрель 27, 2024

Large lakes face considerable challenges due to human activities and climate change, impacting local weather conditions ecosystem sustainability. Lake Urmia, Iran’s largest lake the world’s second-largest saltwater lake, has undergone a substantial reduction in water levels, primarily drought, excessive irrigation. This study focuses on potential repercussions conditions, particularly investigating impact of moisture sources, evaporation from surfaces, evapotranspiration agricultural activities, convection rainfall. The prevailing westerly winds basin suggest hypothesis that this is transported eastward within basin, potentially leading precipitation as it ascends higher altitudes near eastern border. To validate hypothesis, data 1986 2017 Sarab meteorological station (east influenced by precipitation) Saqez (south unaffected were analyzed. level was assessed categorizing into periods normal (1986–1995) (1996–2017). Additionally, MSWEP global product used examine distribution entire over period sub-periods. findings indicate Urmia’s significant influence convective rainfall especially during summer. Despite decreasing levels 1996 2017, increased summer, suggesting intensified irrigation, hot seasons.

Язык: Английский

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