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Fluorine in the Waters of Hypersaline Water Bodies: Dead Sea, Lake Urmia
AbstractAnalyses of fluorine concentrations in the waters of the Dead Sea and Lake Urmia yielded the values of 5.3 ± 0.1 and 10.5 ± 0.1 mg/L, which...
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Application of Remote Sensing and Spatial Fuzzy Multi-criteria Decision Analysis to Identify Potential Dust Sources in Lake Urmia Basin, Northwest Iran
Air pollution as a result of desertification and dust transportation is one of the critical environmental challenges in the arid and semi-arid...
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A comparative study of the surface level changes of Urmia Lake and Aral Lake during the period of 1988 to 2018 using satellite images
Internal lakes are considered as the ecological environments and the monitoring and evaluation of which can be considered as a matter in the national...
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Climate zoning under climate change scenarios in the basin of Lake Urmia and in vicinity basins
A study of climate change scenarios is presented in this paper by projecting the model of recorded precipitation/temperature data into three future...
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Investigation of salt diffusion from Lake Urmia using wind tunnel
During the past years, Urmia Lake has dried extensively. Depot salts created by excessive salt mining in the lake area have become a source of...
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Exploring the Effects of Urmia Lake’s Variability on Adjacent Cities and Villages
Environmental crises in Iran, including lack of rainfall and drying rivers, wetlands, and lakes, have caused natural and human hazards and...
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Modeling the effects of land use/land cover changes on water requirements of Urmia Lake basin using CA-Markov and NETWAT models
Urmia Lake, the largest inland lake in Iran, is facing a severe drying scenario, with dire consequences for the whole region. The rapid expansion of...
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Synoptic analysis and simulation of a widespread dust event in the Urmia Basin
We analyzed a widespread dust event that influenced the Urmia Basin in northwestern Iran from 28 to 31 October 2017. To this end, we applied the...
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Enhancing drought monitoring through spatial downscaling: A geographically weighted regression approach using TRMM 3B43 precipitation in the Urmia Lake Basin
Efficient drought monitoring in the Urmia Lake basin (ULB) is imperative to protect its ecosystem, agriculture, and the livelihoods of local...
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Multi-step Lake Urmia water level forecasting using ensemble of bagging based tree models
Lakes play an important role in hydrologic cycle, and water level forecasting can provide vital information for future management of lakes and their...
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Comparison of Local and Transregional Atmospheric Particles over the Urmia Lake in Northwest Iran, Using a Polarization Lidar Recordings
We have installed a scanning two-channel (532 nm) polarization lidar at the southwest coast of the hypersaline Urmia Lake since September 2018. Our...
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Quantifying LULC changes in Urmia Lake Basin using machine learning techniques, intensity analysis and a combined method of cellular automata (CA) and artificial neural networks (ANN) (CA-ANN)
The land use and land cover (LULC) classification accuracy of six machine learning models were compared in Urmia Lake Basin using Landsat images. The...
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Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran
This study investigated the capability of remote sensing soil moisture (SM) datasets to estimate in-situ SM over the Lake Urmia Basin in Iran. A...
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Agricultural drought survey using MODIS-based image indices at the regional scale: case study of the Urmia Lake Basin, Iran
Drought is a natural, global and recurring phenomenon caused by climatic anomalies and inevitable meteorological changes. Lake Urmia in northwestern...
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The role of new-emerging lands on sources of aeolian sand deposits driven by shrinking of the Urmia salt lake
Urmia Lake, the largest saline lake in Iran and the Middle East, in the northwest of Iran, has shrunk over the past decades. The reduced water level...
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Numerical modeling of Saltwater Wedge under Intruding and Receding Conditions (Case Study: Kahriz Aquifer, Lake Urmia)
AbstractThe complexity of saltwater intrusion issues caused, they cannot be solved analytically, so numerical methods can be useful tools for...
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Application of artificial intelligence in agrometeorology: a case study in Urmia Lake basin, Iran
Replacing irrigated with rainfed crops and sustainable production of major rainfed plants (i.e., wheat) can be an efficient strategy to restore water...
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Bivariate simulation of river flow using hybrid intelligent models in sub-basins of Lake Urmia, Iran
In this study, the performance of continuous autoregressive moving average (CARMA), CARMA-generalized autoregressive conditional heteroscedasticity...
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Application of ANFIS, ELM, and ANN models to assess water productivity indicators based on agronomic techniques in the Lake Urmia Basin
Water productivity (WP) is one of the most important critical indicators in the essential planning of water consumption in the agricultural sector....
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Urmia lake water depth modeling using extreme learning machine-improved grey wolf optimizer hybrid algorithm
Lake water level changes are relatively sensitive to the climate-born events that rely on numerous phenomena, e.g., surface soil type, adjacent...
