Recent improvements in earth observation technologies and Geographical Information System (GIS) based spatial analysis methods require us to examine the efficiency of different data-driven decision rules for soil salinity monitoring degradation mapping. The main objective this study was analyze environmental impacts Lake Urmia drought on risk plains surrounding hyper-saline lake. We monitored l...

Fast multi-output relevance vector regression (FMRVR) algorithm is developed for simultaneous estimation of groundwater and lake water depth the first time in this study. The FMRVR a analysis technique which can simultaneously predict multiple outputs multi-dimensional input. data used study collected from 34 stations located Urmia basin over 40-year period. performance model examined contrast ...

Mahrokh G. Shayesteh , Masoumeh Nasiri-Kenari , and Jawad A. Salehi 2,4 1 Dep. of Electrical Eng., Amir Kabir University of Tech., Tehran, Iran Email: [email protected] , [email protected] 2 Dep. of Electrical Eng., Sharif University of Tech., Tehran, Iran Email: [email protected] , [email protected] 3 Faculty of Eng., Urmia University, Urmia, Iran 4 Iran Telecommunication Re...

In the present study, an improved adaptive neuro fuzzy inference system (ANFIS) and multilayer perceptron (MLP) models are hybridized with a sunflower optimization (SO) algorithm introduced for lake water level simulation. The Urmia Lake is predicted assessed using potential of proposed advanced artificial intelligence (AI) models. implemented to find optimal tuning parameters. results indicate...

Abstract As one of the largest super-saline lakes in world, Lake Urmia northwestern Iran has been facing severe drying recent years. Drought and rapid expansion agricultural activities are considered to be main driving factors shrinking lake. To address this problem, an analysis spatiotemporal dynamics land use/land cover (LULC) is important. This research implemented a multi-source satellite i...