A5039375997- Heavy metals in environment
- Water Quality and Pollution Assessment
- Geochemistry and Geologic Mapping
- Hydrological Forecasting Using AI
- Groundwater and Isotope Geochemistry
- Groundwater and Watershed Analysis
- Water Quality Monitoring and Analysis
- Heavy Metals in Plants
- Soil Geostatistics and Mapping
- Water Quality Monitoring Technologies
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Soil and Land Suitability Analysis
- Selenium in Biological Systems
- Remote Sensing in Agriculture
- Radioactivity and Radon Measurements
- Land Use and Ecosystem Services
- Environmental and Analytical Chemistry Studies
- Water resources management and optimization
- Fish Biology and Ecology Studies
- Spatial and Panel Data Analysis
- Plant Micronutrient Interactions and Effects
- Water Resources and Management
- Remote-Sensing Image Classification
- Coal and Its By-products
Shahid Rajaee Teacher Training University
2015-2024
Ton Duc Thang University
2018-2019
University of Tehran
2005-2008
Soil Conservation and Watershed Management Research
2008
The water yield produced at the outlet of a sub-basin is combination multiple interacting land uses. In majority previous research, while accounting for effect use and cover (LULC) on yield, hydrologic components watershed have been attributed to dominant class within that sub-basin. We adopted an approach investigate interaction LULC (WYLD) using Johnson–Neyman (JN) method. soil assessment tool (SWAT) model was employed in Urmia Lake Basin (ULB) estimate WYLD following successful...
Background & Aims of the Study: The main objectives current research were (1) to study extent soil pollution by heavy metals (Ag, Cd, Cr, Cu, Mn, Ni, Pb, Zn, Ba and Li) in sampling locations (2) investigate metal plant transfer these elements wheat barley (3) health risk via consumption grains for adults children.
The concentration of selenium in 97 plants related to seven different species and the associated soil samples was considered an arid area central part Iran. mean Se varied from 0.17 0.43 mgkg-1 which is within worldwide range. There a highly significant correlation (r=0.688, p<0.01) between two depths (e.g. 0-5 cm 5-25 cm) indicating that deeper parts (5-25 has most probably originated surface (0-5 cm). highest accumulation recorded chives with average value 0.35 mgkg-1. Except for apricot,...
Background: In the current study,the hazard quotient, index (HI) and spatial variations of Fe,Mn,Cu Cr in drinking water sources Andimesk-Shush, Khuzestan Province, Southern Iranaquifer were assessed. Methods: We compared theconcentrations aforementioned heavy metals wells springs inAndimeshk Shush regions. The non-carcinogenic risk assessment was implemented usingUnited States Environmental Protection Agency (USEPA) index.The maps area developed by geostatistical methods. Results: Mean...
Seventeen groundwater quality variables collected during an 8-year period (2006 to 2013) in Andimeshk, Iran, were used implement artificial neural network (NN) with the purpose of constructing a water index (WQI). The method leading WQI avoids instabilities and overparameterization, two problems common when working relatively small data sets. construct selected based on principal component analysis (PCA) by which number decreased six. To fulfill goals this study, performance three methods...