A5048376047- Climate variability and models
- Agriculture Sustainability and Environmental Impact
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Climate change impacts on agriculture
- Remote Sensing in Agriculture
- Environmental Impact and Sustainability
- Air Quality Monitoring and Forecasting
- Land Use and Ecosystem Services
- Calibration and Measurement Techniques
- Flood Risk Assessment and Management
- Plant Ecology and Soil Science
- Soil Geostatistics and Mapping
- Species Distribution and Climate Change
- Water-Energy-Food Nexus Studies
- Energy and Environment Impacts
- Soybean genetics and cultivation
- Air Quality and Health Impacts
- Effects of Environmental Stressors on Livestock
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Climate Change and Health Impacts
- Impact of Light on Environment and Health
- Hydrology and Watershed Management Studies
Sari Agricultural Sciences and Natural Resources University
2016-2025
University of Tehran
2015
The increase in population has increased the need for agricultural and food products, thus production should be increased. This goal may cause increases emissions environmental impacts by increasing consumption of inputs. prediction plays an important role evaluating pollutant crop production. study employed two artificial intelligence (AI) methods: adaptive neuro-fuzzy inference system–fuzzy c-means (ANFIS–FCM) algorithm as a novel computational method, neural network (ANN) conventional...
Dust pollution is a major environmental issue that threatens public health and ecosystems. This study investigates the relationship between wetland area reduction intensification of dust in southwestern Iran, utilizing satellite data from Landsat, Sentinel-5, MODIS (2010-2022). High-resolution imagery Google Earth Engine (GEE) was used to extract event frequency data, while Aerosol Optical Depth (AOD) Absorbing Index (AAI) were employed monitor levels. Normalized Difference Water (NDWI)...
In this study, we examine the relationship between short- and long-term effects of precipitation deficits, integrated in a drought index called 'Joint Deficit Index (JDI)', tree-ring growth oak trees (Quercus infectoria) Javan-Roud region, Kermanshah province (Iran). Precipitation data from regional climate stations cover period 1968–2008, width chronology span over 1818–2008. This is highly correlated with JDI (January–September) series for instrumental (P < 0.01). Therefore, was...
The Air Quality Index is a numerical tool used to quantify air pollution levels and classify severity. It plays vital role in ensuring healthcare system stability by understanding pollution's dynamic behavior shifts intensity. To analyze the probabilistic transition between severity levels, Markov Chain model was utilized. This study examined six states (Clean, Healthy, Unhealthy for Sensitive Groups, Unhealthy, Very Hazardous) across 12 stations Tehran's northern, southern, eastern,...
Abstract This study employed two artificial intelligence (AI) methods called the ANFIS–FCM algorithm as a novel computational method and an neural network (ANN) conventional in order to predict environmental impacts of soybean production different scenarios ( i.e. , cultivation after rapeseed (R-S), wheat (W-S), fallow (F-S)). The 175 data life cycle assessment (LCA) were collected from farms. adaptive neuro-fuzzy inference based on fuzzy C-means clustering (FCM) adopted parameters. For this...
Abstract The most popular metric for drought monitoring is the standardized precipitation index (SPI). It does have some drawbacks, though, such as using gamma probability distribution function default and not taking into account seasonal variations. effectiveness of SPI in droughts various Iranian climates was examined this study, order to address its limitations, it contrasted with modified (mod‐SPI). Then, performance mod‐SPI compared nine meteorological stations throughout Iran during...
Abstract. Climate change is one of the most important environmental challenges in world and forest as a dynamic phenomenon influenced by changes. The Hyrcanian forests unique natural heritage global importance we need monitoring this region. objective study was to detect start end season trends Iran based on biweekly GIMMS (Global Inventory Modeling Mapping Studies) NDVI3g period 1981-2012. In order find response vegetation activity local temperature variations, used air provided from I.R....
"Technical Report" Performance Comparison of IHACRES Model and Artificial Neural Network to Predict the Flow Sivand River
Evaluation and modification of Aphrodite precipitation network in estimating monthly annual central parts Iran
Investigation of Statistical and Geostatistical Methods in Preparing The Rainfall Map Mazandaran Province
Accurate spatial estimation of temperature is very important in meteorological research. This study investigated the efficiency products Tropical Rainfall Measuring Mission (TRMM) satellite estimating Mazandaran Province, and its accuracy were compared with inverse distance weighting Co-Kriging interpolation methods. Finally, a new method was proposed to improve by combining TRMM terrains. Data recorded at 25 stations 26 monthly annual images 2012 2013 used. The results showed significant...
Abstract The accurate spatial estimation of temperature is crucial in climate research. This study investigated the efficiency products TRMM satellite estimating Mazandaran Province, and its accuracy were compared with inverse distance weighting Co-Kriging interpolation methods. Finally, a new method was proposed to improve by combining terrains. Data recorded at 25 meteorological stations 26 monthly annual images 2012 2013 used. results showed significant correlation between data products,...