A5081653174- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Transboundary Water Resource Management
- Soil and Water Nutrient Dynamics
- Animal Diversity and Health Studies
- Plant Water Relations and Carbon Dynamics
- Marine and environmental studies
- Groundwater flow and contamination studies
- Hydrology and Sediment Transport Processes
- Hydrological Forecasting Using AI
- Remote Sensing in Agriculture
- Soil erosion and sediment transport
- Water management and technologies
- Marine and coastal ecosystems
- Smart Agriculture and AI
- Land Use and Ecosystem Services
- Aquatic Ecosystems and Phytoplankton Dynamics
- Precipitation Measurement and Analysis
- Air Quality Monitoring and Forecasting
- Wildlife-Road Interactions and Conservation
- Remote Sensing and LiDAR Applications
- Climate variability and models
- Soil and Environmental Studies
- Tree-ring climate responses
Sharif University of Technology
2018-2025
University of Minnesota
2015-2019
Saint Anthony College of Nursing
2019
Colorado School of Mines
2018
University of Minnesota Children's Hospital
2014
Abstract Understanding the time water takes as it moves from rain or snowmelt through terrestrial system to arrive stream discharge, evapotranspiration (ET) is an important hydrologic quantity. We develop a Lagrangian particle tracking method capture transient residence times source either ET outflow in integrated model. This parallel and efficiently captures evolution of parcels model tracks for hydrograph separation. demonstrate this using hypothetical hillslope simulations driven by snow...
Abstract Recent advancements in analytical solutions to quantify water and solute travel time distributions (TTDs) the related StorAge Selection (SAS) functions synthesize catchment complexity into a simplified, lumped representation. Although these approaches are efficient application, they require rarely available long‐term high‐frequency hydrochemical data for parameter estimation. Alternatively, integrated hydrologic models coupled Lagrangian particle‐tracking can directly simulate age...
Abstract Understanding controls of P movement through watersheds are essential for improved landscape management in intensively managed regions. Here, we analyze observational data from 104 gaged river sites and 176 nongaged within agriculturally dominated Minnesota, USA, to understand the role features, land use practices, climate variability, biogeochemical processes total, dissolved particulate dynamics at daily annual scales. Our analyses demonstrate that factors mediating...
Climatic trends and anthropogenic changes in land cover use are impacting the hydrology water quality of streams at field, watershed, regional scales complex ways. In poorly drained agricultural landscapes, subsurface drainage systems have been successful increasing crop productivity by removing excess soil moisture. However, their hydroecological consequences still debated view observed increased concentrations nitrate, phosphorus, pesticides many streams, as well altered runoff volumes...
Evapotranspiration is a key component of the hydrological cycle, influencing water and biogeochemical cycles in critical zone. Particularly, travel time evapotranspired for describing origin young contribution to evapotranspiration, but yet poorly understood. In this study, we revisited Lagrangian particle-tracking model, EcoSLIM, separate evaporation transpiration particles using mass balance approach. This separation allowed us determine distribution with different sources (i.e., rainfall,...
Agriculture is one of the primary consumers freshwater globally. However, precise data on irrigation water use (IWU) at regional scale often lacking, which hampers development effective management plans. This information gap particularly crucial in water-stressed regions, resulting significant resource waste. Remote sensing datasets offer a valuable opportunity to monitor patterns over extended periods scale. Since affects both soil moisture (SM) and actual evapotranspiration (ET), increases...
Dust storms pose significant environmental challenges in arid and semi-arid regions, causing serious health, environmental, socio-economic impacts. Traditional dust modeling approaches, like numerical methods, often struggle to balance accuracy, computational efficiency, data availability. This study employed a Physics-Informed Neural Network (PINN) model for event-based storm modeling, integrating the physical principles of dynamics with data-driven methods. We demonstrated applicability...
Freshwater faunal diversity and abundance have declined dramatically worldwide, concurrent with changes in streamflow sediment loads rivers. Cumulative effects interdependencies of chronic covarying environmental stressors can obscure causal linkages that may be controlling the population dynamics longer-lived freshwater fauna, such as mussels. To understand long-term mussel density, we developed a dynamic, process-based interaction model couples streamflow, suspended sediment,...
ABSTRACTThe correlation between extreme precipitation and flood magnitude is still poorly understood because of the complex mechanisms controlling generation. In this study, we used 50 years streamflow data across Iran to analyse spatial distribution, slope, significance long-term trends in compared distribution for frequency. Despite decreasing trend 60% Iran's sub-basins, showed an increasing trend. particular, number flooding days with a return period 25~50 >50 2010s has increased by 1.3...
Natural and synthetic anion receptors are extensively employed, but the structures of their bound complexes difficult to determine in liquid phase. Infrared spectroscopy is used this work characterize solution for first time, surprisingly only two three hydroxyl groups neutral aliphatic triols found directly interact with Cl(–). The binding constants these zero CF3 were measured a polar environment, KCD3CN(Cl(–)) = 1.1 × 10(6) M(–1) tris(trifluoromethyl) derivative. This remarkably large...
Abstract Observatory‐scale data collection efforts allow unprecedented opportunities for integrative, multidisciplinary investigations in large, complex watersheds, which can affect management decisions and policy. Through the National Science Foundation‐funded REACH (REsilience under Accelerated CHange) project, collaboration with Intensively Managed Landscapes‐Critical Zone Observatory, we have collected a series of sets throughout Minnesota River Basin south‐central Minnesota, USA,...
Abstract Lack of hydro‐bio‐chemical data at subcatchment scales necessitates adopting an aggregated system approach for estimating water and solute transport properties, such as residence travel time distributions, the catchment scale. In this work, we show that within‐catchment spatial heterogeneity, expressed in spatially variable discharge‐storage relationships, can be appropriately encapsulated within a lumped time‐varying stochastic Lagrangian formulation transport. This (variability)...