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Elham Rouholahnejad

Researcher at Swiss Federal Institute of Aquatic Science and Technology

Publications -  10
Citations -  1386

Elham Rouholahnejad is an academic researcher from Swiss Federal Institute of Aquatic Science and Technology. The author has contributed to research in topics: Water resources & Soil and Water Assessment Tool. The author has an hindex of 7, co-authored 10 publications receiving 1027 citations. Previous affiliations of Elham Rouholahnejad include ETH Zurich.

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A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model

TL;DR: In this article, the authors build and calibrate an integrated hydrological model of Europe using the Soil and Water Assessment Tool (SWAT) program, and discuss issues with data availability, calibration of large-scale distributed models, and outline procedures for model calibration and uncertainty analysis.
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A parallelization framework for calibration of hydrological models

TL;DR: A methodology where a parallel processing scheme is constructed to work in the Windows platform and parallelized the calibration of the SWAT (Soil and Water Assessment Tool) hydrological model, where one could submit many simultaneous jobs taking advantage of the capabilities of modern PC and laptops.
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Water resources of the Black Sea Basin at high spatial and temporal resolution

TL;DR: In this article, the authors used the Soil and Water Assessment Tool (SWAT) to model the hydrology of the Black Sea Basin coupling water quantity, water quality, and crop yield components.
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Climate change and agricultural water resources: A vulnerability assessment of the Black Sea catchment

TL;DR: In this paper, three distinctive climate change scenarios are used to assess their impacts on water resources for agriculture: (1) an increase in temperature; (2) a decrease in precipitation; and (3) a combination of the first and second scenarios.
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Grid based calibration of SWAT hydrological models

TL;DR: The gSWAT application is presented as a web practical solution for environmental specialists to calibrate extensive hydrological models and to run scenarios, by hiding the complex control of processes and heterogeneous resources across the grid based high computation infrastructure.