A fuzzy-based approach for clustering the meteorological drought over Iran DOI

Zahra Khaghani,

Ahmad Sharafati, Yusef Kheyruri

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 31, 2024

Language: Английский

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

Xiaolin Qin,

Hongbo Ling,

Qianjuan Shan

et al.

CATENA, Journal Year: 2025, Volume and Issue: 249, P. 108713 - 108713

Published: Jan. 13, 2025

Language: Английский

Citations

0
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 DOI
Robabeh Yousefi, Fang Wang, Abdallah Shaheen

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124346 - 124346

Published: Feb. 1, 2025

Language: Английский

Citations

0
A coupled machine-learning and sensitivity analysis framework to link dust activity in the Tigris–Euphrates basin to climatic and human-induced drivers DOI

Mahdi Hosseinipoor,

Mohammad Danesh‐Yazdi

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

Published: April 1, 2025

Language: Английский

Citations

0
The contribution of erosive winds to dust pollution and analyzing influential factors in Yazd province, central Iran DOI

Zohre Ebrahimi‐Khusfi,

Mojtaba Soleimani-Sardo

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Language: Английский

Citations

0
Seasonality of dust optical depth over Arabian Peninsula using MIDAS data DOI

Abdullah Alsubhi,

Yazeed H. Alsubhi

International Journal of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 25

Published: April 28, 2025

Language: Английский

Citations

0
Characterization and Transport Pathways of High PM2.5 Pollution Episodes During 2015–2021 in Tehran, Iran DOI Creative Commons
Mohammad Saleh Ali-Taleshi, Alireza Riyahi Bakhtiari, Nairui Liu

et al.

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

Citations

0
The challenge of identifying dust events in a highly polluted Eastern Mediterranean region DOI

Irina Rogozovsky,

Albert Ansmann, Holger Baars

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 953, P. 175920 - 175920

Published: Sept. 6, 2024

Language: Английский

Citations

3
Long-Term Wind and Air Temperature Patterns in the Southeastern Region of Iran through Model Simulation and Ground Observations DOI Creative Commons
Nasim Hossein Hamzeh‎,

Abbas Ranjbar Saadat Abadi,

Khan Alam

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(8), P. 993 - 993

Published: Aug. 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.

Language: Английский

Citations

2
Investigating the Impact of Large Lakes on Local Precipitation: Case Study of Lake Urmia, Iran DOI Open Access
Hossein Mousavi, Amir Hossein Dehghanipour, Carla Ferreira

et al.

Water, Journal Year: 2024, Volume and Issue: 16(9), P. 1250 - 1250

Published: April 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.

Language: Английский

Citations

0
Exploring the Trends of Aerosol Optical Depth and Its Relationship with Climate Variables over Saudi Arabia DOI
Md Masudur Rahman, Roman Shults, Md Hasan

et al.

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

Language: Английский

Citations

0