Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: unknown, P. 102380 - 102380
Published: Dec. 1, 2024
Language: Английский
Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: unknown, P. 102380 - 102380
Published: Dec. 1, 2024
Language: Английский
Atmosphere, Journal Year: 2025, Volume and Issue: 16(3), P. 334 - 334
Published: March 16, 2025
This study provides a comprehensive evaluation of dust events over Iran, using synoptic data from 286 meteorological stations. The are classified according to codes as suspended and others (i.e., blowing dust, storms) based on their intensity with horizontal visibility ≤1, 3, 5, 10 km. Severe (visibility ≤ 1 km) (code 06) occurred primarily in the western parts while moderate or severe dominated south eastern thus revealing contrasting spatial distribution regarding type frequency events. Furthermore, distinct seasonality is revealed number events, since maximized SW Iran March July, highly associated Shamal winds, storms east April August. Zabol city, some stations along coast Arabian Sea impacted by this storm throughout year. Trend analysis notable increase during period 1994–2023, particularly part mostly attributed transboundary Mesopotamian plains. large activity 1994–2009 was followed decrease 2010s at many stations, differences were observed trends dust. An inverse correlation between precipitation anomalies observed, years abnormal (e.g., 2019; 138% increase) related substantial occurrence. Over an 11-year period, surface concentrations exceeded annual PM10 threshold 50 µg/m3 more than 800 days, maximum reaching up 1411 µg/m3. highlights urgent need for effective management strategies mitigate impacts air quality public health Iran.
Language: Английский
Citations
2Applied Sciences, Journal Year: 2024, Volume and Issue: 14(8), P. 3304 - 3304
Published: April 14, 2024
This study aims to optimize the Weather Research and Forecasting (WRF) model regarding choice of best planetary boundary layer (PBL) physical scheme evaluate model’s performance for wind energy assessment mapping over Iranian territory. In this initiative, five PBL surface parameterization schemes were tested, their was evaluated via comparison with observational data. The used two-way nesting domains spatial resolutions 15 km 5 represent atmospheric circulation patterns affecting area. Additionally, a seventeen-year simulation (2004–2020) conducted, producing datasets entire accuracy WRF assessed by comparing its results observations from multiple sites high-resolution Global Wind Atlas. Statistical parameters power density calculated simulated data compared potential at specific sites. sensitive horizontal resolution terrain data, weaker simulations speeds below 3 m/s above 10 m/s. confirm that provides reliable speed realistic studies in Iran. model-generated resource map identifies areas high (wind > 5.6 m/s) are currently without farms or Aeolic parks exploitation potential. Sistan Basin eastern Iran identified as area highest density, while west Zagros Mountains southwest showed aeolian during summer. A novelty research is application an characterized topographical complexities geographical features. provide practical solutions valuable insights industry stakeholders, facilitating informed decision making, reducing uncertainties, promoting effective utilization resources region.
Language: Английский
Citations
5Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2384 - 2384
Published: June 28, 2024
Nowadays, dried lake beds constitute the largest source of saline dust storms, with serious environmental and health issues in surrounding areas. In this study, we examined spatial–temporal distribution monthly annual events varying intensity (dust suspension, blowing dust, storms) vicinity desiccated Urmia Lake northwestern (NW) Iran, based on horizontal visibility data during 2009–2022. Dust storm exhibited different patterns, higher frequencies between March October, especially southern eastern parts Basin. Furthermore, intra-annual variations aerosol optical depth at 500 nm (AOD550) Ångström exponent 412/470 (AE) were investigated using Terra/Aqua MODIS (Moderate Resolution Imaging Spectroradiometer) over Basin (36–39°N, 44–47°E). Monthly distributions potential coarse (AE < 1) sources affecting lower troposphere reconstructed, synergizing AOD550 for AE 1 values HYSPLIT_4 backward trajectories. The reconstructed patterns compared spatial Terra Middle East Central Asia (20–70°E, 20–50°N). results showed that deserts Aral–Caspian arid region (ACAR) mostly contribute to load region, exhibiting frequency spring early summer. Local from further AOD, western part April. modeling (DREAM8-NMME-MACC) revealed high concentrations near-surface concentrations, which may have effects local population, while distant are main controlling factors loading
Language: Английский
Citations
5Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136377 - 136377
Published: Nov. 1, 2024
Language: Английский
Citations
4Atmosphere, Journal Year: 2025, Volume and Issue: 16(4), P. 383 - 383
Published: March 27, 2025
Dust is one of the most important problems human societies in arid and semi-arid areas. This study analyzed rising propagation dust storm occurring from 21 to 23 May 2016 Isfahan province (Central Iran) by using WRF-Chem HYSPLIT models. The was visualized visible imagery coarse-mode aerosol optical depth data satellite sensor data, emission transport were simulated for Central Iran with AFWA GOCART schemes. results show that concentration Sistan Baluchistan Persian Gulf as high 2000 µg/m3, both schemes estimate highest amount emissions central parts eastern part province. PM10 Yazd station used verify model outputs, which showed scheme has a higher correlation coefficient observations (0.62) than scheme. case suggests simulate reasonably good reliability, though further determination enhancement are still required an accurate prediction extents.
Language: Английский
Citations
0Atmósfera, Journal Year: 2024, Volume and Issue: 38, P. 531 - 555
Published: April 22, 2024
Dried lake beds are one of the largest sources dust in world, causing environmental problems surrounding areas. In this study, desiccated Urmia Lake was primary source for all nearby synoptic stations during April 24-25, 2017 episode. Synoptic analysis revealed that heavy storm triggered by a strong Black Sea cyclone and low-pressure system over central Iraq conjunction with vast high-pressure system. HYSPLIT-based trajectory showed high PM10 recorded region on 23-26, 2017, influenced western Azerbaijan, south Caspian Sea, southwestern Kazakhstan, northwestern Uzbekistan, Turkmenistan. The dustiest air masses (PM10 > 400 µg m–3) affected Azerbaijan. Furthermore, WRF-Chem model run to evaluate spatial distribution particles study region. vertical profile simulated concentration ascended 5 km from lake. schemes accurately propagation Lake; however, AFWA GOCART fluctuating changes were earlier than measured surface at five around 2017. maximum amount anticipated simulation 12 h mass throughout period.
Language: Английский
Citations
3Building and Environment, Journal Year: 2024, Volume and Issue: 261, P. 111726 - 111726
Published: June 6, 2024
Language: Английский
Citations
2Atmosphere, 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
2Published: Jan. 1, 2024
Iran has been experienced severe dust storm due to the occurrence of strong wind speeds causing sand erosion owing semi-arid and arid climates. Wind speed predictions by numerical weather forecasting (NWF) is indispensable; however, applicability NWF for predicting annually extreme not well known. Therefore, this study compares three-hour averaged in one year predicted a model observed at 390 stations validate model. In addition, statistical was employed estimate probability densities both observational data output. As model, mesoscale Weather Research Forecasting (WRF) utilized simulate speeds. The results indicate that observation are consistent with modeled datasets regarding relationships among mean, standard deviation, skewness, while WRF tends overestimate mean predictability annual possible using peak factor. Moreover, skewness emerged as an influential parameter winds. Lastly, Gram-Charlier series predict PDFs speeds, demonstrating effectiveness capturing positively skewed distributions. present analyses can broaden usage output methods Iran.
Language: Английский
Citations
1Published: Jan. 1, 2024
Language: Английский
Citations
1