Long-Term Spatio-Temporal Analysis, Distribution, and Trends of Dust Events over Iran

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

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Monitoring and simulation of a 7-day dust episode and associated dust radiative forcing over the Middle East via synergy of satellite observations, reanalysis datasets and regional/numerical models

Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 107948 - 107948

Published: Jan. 1, 2025

Language: Английский

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Solar radiation estimation in West Africa: impact of dust conditions during the 2021 dry season

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(2), P. 997 - 1021

Published: Jan. 27, 2025

Abstract. The anticipated increase in solar energy production West Africa requires high-quality irradiance estimates, which are affected by meteorological conditions and particular the presence of desert dust aerosols. This study examines impact incorporating into surface temperature estimations. research focuses on a case event March 2021, is characteristic dry season Africa. Significant aerosol emissions at Bodélé Depression associated with Harmattan flow that transports plume westwards. Simulations this were conducted using Weather Research Forecasting (WRF) Model alone, as well coupling it CHIMERE chemistry transport model, three different datasets for initial boundary (CAMS, GOCART, MERRA-2). Results show considering reduces estimation errors global horizontal (GHI) about 75 %. caused an average 18 % reduction during event. Additionally, simulations indicated positive bias optical depth (AOD) PM10 concentrations. choice dataset minimally influenced GHI, temperature, AOD whereas concentrations size distribution significantly affected. underscores importance aerosols forecasting better accuracy.

Language: Английский

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Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(3), P. 1685 - 1709

Published: Feb. 6, 2025

Abstract. This study presents a comprehensive evaluation of the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) in simulating meteorological parameters concentrations air pollutants across United Arab Emirates (UAE) for June December 2022, representing contrasting summer winter climatic conditions. The assessment WRF-Chem performance involves comparisons ground-based observations satellite retrievals from TROPOspheric Monitoring Instrument (TROPOMI) gaseous Moderate Resolution Imaging Spectroradiometer (MODIS) aerosols. comparison TROPOMI column demonstrates that performs well spatio-temporal patterns total CO tropospheric NO2 O3, despite certain deficiencies modelling concentrations. In particular, shows strong correlation retrievals, coefficients ranging 0.53 to 0.82 during 0.40 0.69 these pollutants. tends overestimate levels, higher discrepancy observed (0.50 × 1015 molecules cm−2) compared (0.18 cm−2). TROPOMI-CO data, discrepancies are more pronounced winter, an underestimation 0.12 1018 cm−2. Additionally, consistently overestimates ozone levels both seasons. also exhibits moderate AERONET MODIS aerosol optical depth (AOD) measurements. at Mezaira is 0.60, while 0.65 AOD. However, AOD, bias 0.46 0.35 Meteorological evaluations reveal generally overestimated temperature 2 m above ground (T2m) (≤ 0.2 °C) underestimated it (∼ 3 °C), between 0.7 0.85. Temperature biases linked surface property representation physics. For wind speed 10 (WS10m), were within ± 0.5 s−1, indicating good agreement, although overestimations suggest drag parameterization. dry was consistent other studies due soil, inaccurate mesoscale circulation representation, forcing data. incoming shortwave radiation by ∼ 30 W m−2 reduced cloud cover. Night-time cold substantial speeds cooler advection. Comparisons ERA5 reanalysis showed regional T2m variations high (0.97 summer, 0.92 winter). Both displayed seasonal planetary boundary layer, correlating changes overall performance.

Language: Английский

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Characterizing Aerosol Optical Properties and Direct Radiative Effects From the Perspective of Components: A Synergy Retrieval Study Based on Sun Photometer and Lidar in Central China

Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(4)

Published: Feb. 12, 2025

Abstract Exploring various properties of aerosols can help to better understand global climate changes, emissions, and environment. In this study, a synergy observation experiment from sun photometer Lidar was carried out reveal aerosol optical direct radiative effect (DARE) in Central China the novel perspective components. Our results showed that annual mass concentration black carbon (BC) low (2.49 mg/m 2 ), but having large heating with DARE 9.27 W/m at top atmosphere. The brown found highest summer (0.52 ) its 0.10 , close average China. Additionally, retrieved columnar BC had same magnitude MEERA‐2 product, surface ( R = 0.56) because considering vertical profiles. This study significance exploring expanded information observations.

Language: Английский

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Optical-thermal modeling and geographic analysis of dusty radiative cooling surfaces

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 205, P. 114878 - 114878

Published: Aug. 25, 2024

Language: Английский

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Dust Transport from North Africa to the Middle East: Synoptic Patterns and Numerical Forecast

Atmosphere, Journal Year: 2024, Volume and Issue: 15(5), P. 531 - 531

Published: April 26, 2024

Every year, large quantities of dust are transported from North Africa to the Americas, Europe, and West Asia. The purpose this study is analyze four intense pervasive storms that entered Middle East Northern Africa. Satellite products, ground-based remote sensing measurements, reanalysis data, outputs Aire Limitée Adaptation dynamique Développement InterNational-Dust (ALADIN-Dust) ICOsahedral Nonhydrostatic weather climate model with Aerosols Reactive Trace gases (ICON-ART) forecasting models were synergized. originated different source regions located in north, northeastern, central parts Sahara Desert. transport height main plumes was about 3–5 km, triggered by westerly zonal winds. presence a closed low over Eastern Mediterranean penetration deep trough into at 500 hPa synoptic circulation patterns favoring long-range during events. A comparison aerosol optical depth (AOD) two satellite data revealed although both forecasted East, they considerably underestimated AOD values, especially near sources. ICON-ART performed slightly better than ALADIN these storms, for longer leading time, performance decreased, superiority became more apparent.

Language: Английский

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Investigation of Dust‐Induced Direct Radiative Forcing Over the Arabian Peninsula Based on High‐Resolution WRF‐Chem Simulations

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(13)

Published: July 8, 2024

Abstract This study investigates the impact of dust on radiation over Arabian Peninsula (AP) during reported high, low, and normal seasons (March–August) 2012, 2014, 2015, respectively. Simulations were performed using Weather Research Forecasting model coupled to a Chemistry module (WRF‐Chem). The simulated seasonal horizontal vertical concentrations, their interannual distinctions, match well with those from two ground‐based AERONET observations, measurements MODIS CALIOP satellites. maximum concentrations dust‐source regions in southern AP reach vertically upto 700 hPa high season, but only 900–950 low/normal seasons. Stronger incoming low‐level winds along Red Sea Iraq bring higher‐than‐normal summers. We conducted sensitivity experiment by switching‐off assess radiative perturbations due dust. results suggest that active dust‐module improved fidelity fluxes distributions at surface top atmosphere vis‐à‐vis Clouds Earth's Radiant Energy System (CERES) measurements. Dust 26 Wm −2 short‐wave (SW) forcing tropospheric‐column AP. SW increases another 6–8 season increased number extreme days, which also amplifies atmospheric heating. During heating rate exhibits dipolar structure, cooling region warming 40%–60% southern‐AP.

Language: Английский

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Heavy metal concentrations in PM10 samples and assessment of environmental and health impacts in windy and dusty environments in east Iran

Air Quality Atmosphere & Health, Journal Year: 2025, Volume and Issue: 18(4), P. 1053 - 1074

Published: Jan. 17, 2025

Language: Английский

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Research on a Photovoltaic Panel Dust Detection Algorithm Based on 3D Data Generation

Energies, Journal Year: 2024, Volume and Issue: 17(20), P. 5222 - 5222

Published: Oct. 20, 2024

With the rapid advancements in AI technology, UAV-based inspection has become a mainstream method for intelligent maintenance of PV power stations. To address limitations accuracy and data acquisition, this paper presents defect detection algorithm panels based on an enhanced YOLOv8 model. The panel dust dataset is manually extended using 3D modeling which significantly improves model’s ability to generalize detect fine particles complex environments. SENetV2 introduced improve perception features cluttered backgrounds. AKConv replaces traditional convolution neck network, allowing more flexible accurate feature extraction through arbitrary kernel parameters sampling shapes. Additionally, DySample dynamic upsampler accelerates processing by 8.73%, improving frame rate from 87.58 FPS 95.23 while maintaining efficiency. Experimental results show that image expansion contributes 4.6% increase accuracy, 8.4% improvement recall, 5.7% mAP@50, 15.1% mAP@50-95 compared original YOLOv8. expanded model demonstrate effectiveness practicality proposed approach.

Language: Английский

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