A5007666922- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Precipitation Measurement and Analysis
- Hydrocarbon exploration and reservoir analysis
- Geochemistry and Geologic Mapping
- Climate variability and models
- Geophysics and Gravity Measurements
- Remote-Sensing Image Classification
- Meteorological Phenomena and Simulations
- Climate change impacts on agriculture
- Transboundary Water Resource Management
- Groundwater and Watershed Analysis
- Flood Risk Assessment and Management
- Science and Climate Studies
University of Trento
2024-2025
University of Shahrood
2021-2022
In the era of human-induced climate change, droughts are one extreme events that can severely impact water resources, regional agriculture and ecological environment. A reliable projection for future is crucial with rapid global increase in frequency intensity droughts. This research aims to project Poland by end 21st century. To achieve this, we use a multi-model mean ensemble 26 downscaled bias-corrected high-resolution general circulation models (GCMs) under Shared Socioeconomic Pathways...
Accurate representation of terrestrial Essential Climate Variables (tECVs) is crucial for practically understanding the Earth's climate system and supporting policy decisions. This study initiates benchmarking practices within Land Surface/Hydrologic Model (LSM/HM) communities by integrating high-resolution data with hyper-resolution hydrological modelling. The European Space Agency (ESA)-funded 4DHydro project employs six advanced LSM/HMs: Community (CLM), GEOfram, mesoscale Hydrologic...
As observed in the last years, extreme events, floods and droughts, have been reported to be more likely due climate change environmental modifications, Italy particular, experienced frequent intense drought with an exceptionally severe 2022.To cope this kind of phenomena update existing numerical modelling for water resource management, 2021 Po River District Basin Authority (AdBPo) started implementation GEOframe system on whole territory district, aiming provide a better...
ABSTRACT This study investigates the impacts of climate change and land‐use changes on peak discharge runoff behavior in western watersheds Lake Urmia, Iran. Employing machine learning algorithms (e.g., SVM), stochastic models CA‐MARKOV), ERA5 reanalysis data, large‐scale hydrological VIC model, we assessed these effects across multiple sub‐basins. Our analysis revealed that a 2°C rise average minimum winter temperature over past 50 years has reduced frost days by nearly 80 days, diminished...
Abstract Human society and the environment are facing significant challenges due to climate change. Climate change is projected impact main variables, such as temperature precipitation. Changes in variables affect classification alter zone maps. In this research, first, projection of precipitation 30 stations Iran under Shared Socioeconomic Pathways scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) from Coupled Model Intercomparison Project Phase Six (CMIP6) for end twenty-first century (2071–2099)...
This study investigates the application of precipitation estimation from remote sensing information using artificial neural networks (PERSIANN) for hydrological modeling over Russian River catchment in California United States as a case study. We evaluate two new PERSIANN products including PERSIANN-Cloud Classification System–Climate Data Record (CCS–CDR), climatology dataset, and PERSIANN–Dynamic Infrared Rain Rate (PDIR), near-real-time dataset. also include older products,...
Hydrological modeling is essential for runoff simulations in line with climate studies, especially remote areas data scarcity. Advancements climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims to evaluate APHRODITE, PERSIANN-CDR, and ERA5-Land Hablehroud watershed Iran. The were compared interpolated ground station using inverse distance weighted (IDW) method. variable infiltration capacity (VIC) model was utilized simulate from 1992 1996....
Global concern over optimizing transboundary water resources for residents is hindered by the lack of observational data, particularly in ungauged basins, mainly due to inaccessibility or security issues. Remote sensing and GIS technology provide a practical solution monitoring managing such basins. This research evaluates surface Qaretikan basin using satellite products precipitation, temperature, evapotranspiration from 2005 2014. The accuracy these datasets was assessed statistical...
Lithological studies and geological unit mappings are generally applicable to many fields of natural resource management. Relatively suitable aquifers have been formed in complex formations northwest Shahrood due the presence carbonate rocks as well erosion tectonic forces region. This study aims identify separate calcareous that can form karst area. As a result forces, region exhibit spectral fluctuations, making it difficult for mapping using multispectral images. Therefore, Landsat 8...