Overutilization of groundwater resources can put their quality under stress. It could be base on rapid declination in groundwater level leading to salt water intrusion in the coastal aquifers. The objective of this study was to map the vulnerability of salt water intrusion of the Urmia Lake, Iran to nearby coastal aquifer (Azarshahr) using GALDIT method. The GALDIT index based on six parameters...

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 ...

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...

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...

Biodiversity of soil fungi was explored in soils of the National Park of Urmia Lake. For this purpose, 46 soil samples were collected from 5–15 cm depth and isolation was made using soil dilution plate and Warcup soil plate methods. Fungal isolates were identified based on cultural and morphological criteria. The results obtained in this study revealed that there is a rich diversity among hypho...