An integrated hybrid deep learning data driven approaches for spatiotemporal mapping of land susceptibility to salt/dust emissions

Advances in Space Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Analysis of spatiotemporal variations of drought and soil salinity via integrated multiscale and remote sensing-based techniques (Case study: Urmia Lake basin)

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102560 - 102560

Published: March 12, 2024

In this study, the spatiotemporal variations of drought and salinity were assessed for Urmia Lake basin, which is a very critical challenging ecosystem problem. The lowering water level in associated risk becoming completely saline land has become an important issue Iran. first step using ground- satellite-based datasets, new multiscale technique based on Empirical Wavelet Transform (EWT) Differential Symbolic Entropy (DSE) was proposed to monitor selected region. next step, its impacts environment investigated satellite datasets. Results showed that Southern parts basin more prone severe droughts, there direct relationship between entropy intensity. Based results, it concluded climate change had impact shrinkage lake; however, these changes not solely responsible causing dramatic loss Lake. Variations Salinity Index (SI) lands mostly seen Eastern lake, negative air quality agricultural activities parts. It found proper management resources would play effective role restoration lake.

Language: Английский

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Optimization and Evaluation of the Weather Research and Forecasting (WRF) Model for Wind Energy Resource Assessment and Mapping in Iran

Applied 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

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An explainable integrated machine learning model for mapping soil erosion by wind and water in a catchment with three desiccated lakes

Aeolian Research, Journal Year: 2024, Volume and Issue: 67-69, P. 100924 - 100924

Published: April 27, 2024

Language: Английский

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Dust Events over the Urmia Lake Basin, NW Iran, in 2009–2022 and Their Potential Sources

Remote 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

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The Importance of Wind Simulations over Dried Lake Beds for Dust Emissions in the Middle East

Atmosphere, Journal Year: 2023, Volume and Issue: 15(1), P. 24 - 24

Published: Dec. 24, 2023

Dust storms are one of the major environmental hazards affecting Middle East countries, and largely originate in vast deserts narrow dried lake beds. This study analyzes inter-annual variation dust weather conditions from 2000 to 2020 using data obtained ten meteorological stations located around (completely or partly) lakes Northwest (Urmia Lake) South (Bakhtegan Iran. Since wind regime is most important factors controlling emissions source areas, speed simulations Weather Research Forecasting (WRF) Model for 134,113 grid points covering area, with a resolution 5 km, were analyzed compared measurements at Urmia Bakhtegan Lakes 2005 2015. The analysis shows that annual number days was highly variable, presenting significant increase Lake during 2008–2011 2007–2012. Eleven years WRF mean diurnal patterns revealed highest 10 m occurred mostly local noon (12 15 UTC), generally coinciding majority reported codes within this time frame, as result association between (dust conditions) these basins. Consequently, accurate simulation has high importance unbiased numerical prediction forecasting conditions. comparison measured monthly WRF-simulated model overestimated all but performed better reconstructing speeds Lake. Furthermore, notable differences observed simulated directions, thus leading uncertainties dust-plume transport.

Language: Английский

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Lake Iriqui’s Remarkable Revival: Field Observations and a Google Earth Engine Analysis of Its Recovery After over Half a Century of Desiccation

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 104 - 104

Published: Jan. 7, 2025

In September 2024, following two rare storms, Lake Iriqui in southern Morocco experienced a remarkable revival after five decades of desiccation. Historically, the lake played an important role as one largest water bodies before Sahara Desert, serving critical stopover migratory routes for various bird species. Two field missions documented this event: first confirmed lake’s reappearance, while second recorded resurgence ecosystem and return birds, last observed 1968. The surface extent, which had been completely dry, expanded dramatically, reaching over 80 km2 storm subsequently increasing to approximately 146 second. This event has drawn considerable attention from international national media. was monitored using satellite imagery Landsat 8 9 Sentinel-2A, processed through Google Earth Engine (GEE), with Normalized Difference Water Index (NDWI) applied detect presence. A time-series analysis revealed significant changes extent rainfall. study emphasizes need proactive support preserve Iriqui, aligning sustainable development goals: SDG 15 (Life on Land) (Decent Work Economic Growth). These goals highlight importance resource management, biodiversity conservation, eco-tourism initiatives benefit local communities.

Language: Английский

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Simulation and synoptic investigation of a severe dust storm originated from the Urmia Lake in the Middle East

Atmósfera, 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

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Dust Over Water: Analyzing the Impact of Lake Desiccation on Dust Storms on the Iranian Plateau

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136377 - 136377

Published: Nov. 1, 2024

Language: Английский

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Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 2903 - 2903

Published: March 7, 2025

Water is an essential necessity for maintaining the life cycle on Earth. These resources are continuously changing because of human activities and climate-related factors. Hence, adherence to effective water management consistent policy vital optimal utilization resources. resource monitoring can be achieved by precisely delineating borders surfaces quantifying variations in their areas. Since Lake Van largest lake Turkey, alkaline world, fourth terminal it very important determine changes surface boundaries In this context, Normalized Difference Index (NDWI), Modified (MNDWI) Automatic Extraction (AWEI) were calculated from Landsat-8 satellite images 2014, 2017, 2020 2023 June, July, August using Google Earth Engine (GEE) platform. pixels separated other details Canny edge detection algorithm based indices. The Otsu thresholding method was employed surfaces, as most favored technique calculating NDWI, AWEI, MNDWI indices Landsat 8 images. Utilizing threshold approaches yielded favorable outcomes accurately identifying surfaces. AWEI demonstrated superior performance compared NDWI across all three measures. When effectiveness classification techniques used analyzed, overall accuracy, user producer kappa, f score evaluation criteria obtained 2014 CART (Classification Regression Tree), SVM (Support Vector Machine), RF (Random Forest) algorithms well 100%. highest 100% with AWEI. 2020, produced values score. 2023, This study a case demonstrating successful application machine learning method.

Language: Английский

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