- Hydrology and Watershed Management Studies
- Water Quality and Pollution Assessment
- Land Use and Ecosystem Services
- Soil and Water Nutrient Dynamics
- Hydrological Forecasting Using AI
- Soil erosion and sediment transport
- Flood Risk Assessment and Management
- Urban Heat Island Mitigation
- Soil and Land Suitability Analysis
- Urban Design and Spatial Analysis
- Hydrology and Drought Analysis
- Remote Sensing and Land Use
- Wildlife-Road Interactions and Conservation
- Urban Green Space and Health
- Fish Ecology and Management Studies
- Aeolian processes and effects
- Groundwater and Watershed Analysis
- Water Quality Monitoring Technologies
- Hydrology and Sediment Transport Processes
- Environmental Changes in China
- Groundwater and Isotope Geochemistry
- Plant Ecology and Soil Science
- Heavy metals in environment
- Water Quality Monitoring and Analysis
- Air Quality Monitoring and Forecasting
University of Łódź
2021-2024
University of Tehran
2013-2022
Nanjing Institute of Geography and Limnology
2019
Chinese Academy of Sciences
2019
Kiel University
2018
University of Aleppo
2018
Hiroshima University
2008-2009
Although phosphorus (P) is an essential nutrient for biological productivity, it can cause freshwater degradation when present at fairly low concentrations. Monitoring studies using continuous sampling crucial documenting P dynamics in ecosystems and to reduce the risk of eutrophication. Despite literature updates developments analytical methods measurement species natural waters, there has been no comprehensive review addressing sample collection, preparation, treatment fractionate...
This study examines the effect of upscaling landscape structure, which arise from generalizing land use and cover (LULC) maps, on river water quality prediction. The research uses spatial data 36 catchments in southwestern Caspian Sea region. Regression models were developed to understand links between structure through generalization LULC maps four scales ranging 1:25,000 1: 250,000. These sought establish relationships various metrics, include shape index (SHP), fractal dimension (FDI),...
This study proposes a landscape metrics-based method for model performance evaluation of land change simulation models. To quantify at both and class levels, set composition- configuration-based metrics including number patches, area, shape index, mean patch area Euclidean nearest neighbour distance were employed. These provided detailed information on success cellular automata-Markov chain (CA-Markov) standpoint spatial arrangement the simulated map versus corresponding reference layer. As...
The present study investigated the effects of changes in landscape configuration on river water quality, which is calculated by chemical export coefficients, using spatial data onto 31 catchments southwestern part Caspian Sea basin applying stepwise multivariate regression models. quality modeling has been carried out coefficients sulfate, bicarbonate, chlorine, calcium, magnesium, and sodium, eight metrics (including interspersion juxtaposition index, percentage like adjacencies,...
River water quality can be affected by a range of factors, including both point and non-point sources pollution. Of these changes in land use cover are particularly significant, as they alter the structure landscape consequently impact rivers. To investigate relationship between patch shapes, measure structure, river at catchment scale, this study utilized spatial data from 39 catchments southern basin Caspian Sea. This employed stepwise multivariate regression modeling to explore how which...
Abstract Urban stormwater runoff has posed significant challenges in the face of urbanization and climate change, emphasizing importance trees providing reduction ecosystem services (RRES). However, sustainability RRES can be disturbed by urban landscape modification. Understanding impact structure on is crucial to manage landscapes effectively sustain supply RRES. So, this study developed a new approach that analyzes relationship between structural pattern Tabriz, Iran. The provision was...
Most studies that address the relationship between socio-economic characteristics and soil erosion focus on effects of conditions at different levels, from global to smallholder. Few, if any, efforts are made influence variables rate as an indicator landscape degradation. The present study was carried out using spatial data 402 catchments cover Poland, find how variables, which include area-weighted average income per capita (PLN km-2), gross domestic product population density (person human...
This study investigated the linkages between river water quality and land use in catchments Yamaguchi Prefecture, western Japan, order to examine effect of changes both entire catchment buffer zone on quality. Dissolved Oxygen (DO), pH, Biological Demand (BOD), Suspended Solids (SS), Escherichia coli, Total Nitrogen (TN) Phosphorus (TP) were considered as indicators. Satellite images applied generating map. Multiple regression model was linking with uses area zone. The results indicate that...
Performance evaluation is a critical step for land use/land cover (LULC) change modelling. It can be conducted through pixel quantity and its geographical location according to majority of current approaches. hence important know what extent spatial patterns given landscape are properly replicated in simulated LULC maps. Therefore, new validation metric, named as accuracy metric (LAM), introduced by inspiration from ecology. Unlike metrics, model performance measured LAM quantifying...
Linkage Between In-Stream Total Phosphorus and Land Cover in Chugoku District, Japan: An Ann Approach Development of any area often leads to more intensive land use increase the generation pollutants. Modeling these changes is critical evaluate emerging their effect on stream water quality. The objective this study was assess impact spatial patterns population density quality streams, case data scarcity, district Japan. employed artificial neural network (ANN) technique relationship between...
In this study we investigated the performance of Tank hydrologic model in predicting rainfall-runoff using a descriptive-analytical approach, including objective error measures and flow signatures (mean annual specific runoff, mean duration curves, normalized low high indexes, coefficient variation, hydrograph flashiness).Because hydrological processes vary at different scales, three watersheds located significantly environments, which are examples small (15 km 2 ), medium (215 ) large (542...