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A fast and automated hydrologic calibration tool for SWAT (1) · Analysis of Water Balance Components and Parameter Uncertainties Based on SWAT Model with CMADS Data and SUFI-2 Algorithm in Huangbaihe River Catchment, China (1) · Climate change and its impacts on river discharge in two climate regions in China (1) · Disentangling the Contributions of Climate and Basin Characteristics to Water Yield Across Spatial and Temporal Scales in the Yangtze River Basin: A Combined Hydrological Model and Boosted Regression Approach (1) · Effect of the Horizontal Resolution of Climate Simulations on the Hydrological Representation of Extreme Low and High Flows (1) · Evaluating and Predicting the Effects of Land Use Changes on Water Quality Using SWAT and CA–Markov Models (1) · Evaluation of the impact of the Gully Land Consolidation Project on runoff under extreme rainfall (1) · From a test case to a trusted tool: Lithuania’s evolving SWAT system for water and agricultural management (1) · Hydrologic Impact Evaluation of Land Use and Land Cover Change in Palico Watershed, Batangas, Philippines Using the SWAT Model (1) · Long-term Monthly Discharge Prediction for Cimanuk Watershed (1) · Modelling the effects of climate change on streamflow using climate and hydrological models: the case of the Kesem sub-basin of the Awash River basin, Ethiopia (1) · Multi-Objective Optimization for Interactive Reservoir-Irrigation Planning Considering Environmental Issues by Using Parallel Processes Technique (1) · New Framework for Dynamic Water Environmental Capacity Estimation Integrating the Hydro-Environmental Model and Load–Duration Curve Method—A Case Study in Data-Scarce Luanhe River Basin (1) · Potential Effects of Urban Growth under Urban Containment Policy on Streamflow in the Gyungan River Watershed, Korea (1) · Potential Impact of Clean Air Act Regulations on Nitrogen Fate and Transport in the Neuse River Basin: a Modeling Investigation Using CMAQ and SWAT (1) · Process-based Analysis of the Climate Change Impacts on Primary Hydro-Salinity of the River Ecosystems (1) · QUANTIFYING THE CONTRIBUTIONS OF CLIMATE CHANGE AND HUMAN ACTIVITIES TO THE DRAMATIC REDUCTION IN RUNOFF IN THE TAIHANG MOUNTAIN REGION, CHINA (1) · Quantifying factors influencing runoff in mining areas using the SWAT model – a case of the Kuye River in Northern Shaanxi, China (1) · Review of Floods in a Changing Climate: Hydrologic Modeling by P. P. Mujumdar and D. Nagesh KumarCambridge University Press, Cambridge, U.K.; 2012; ISBN 978-1-107-01876-1; 177 pp.; $120. (1) · Semidistributed Hydrological Model with Scarce Information: Application to a Large South American Binational Basin (1) · Simulation modelling for integration of hydropower, irrigation water and water supply potentials of Lweya Basin, Malawi (1) · Simulation of Nitrogen Pollution in the Shanxi Reservoir Watershed Based on SWAT Model (1) · Streamflow in the upper Mississippi river basin as simulated by SWAT driven by 20th Century contemporary results of global climate models and NARCCAP regional climate models (1) · The Impacts of Different Meteorology Data Sets on Nitrogen Fate and Transport in the SWAT Watershed Model (1) · Using SWAT-VSA to Predict Diffuse Phosphorus Pollution in an Agricultural Catchment with Several Aquifers (1)
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http://aloki.hu/pdf/1901_119131.pdf (1) · http://journal.ipb.ac.id/index.php/agromet/article/view/28917 (1) · http://koreascience.or.kr/journal/view.jsp?kj=GCRHBD&py=2015&vnc=v33n3&sp=163 (1) · http://link.springer.com/10.1007/s10666-014-9400-z (1) · http://link.springer.com/10.1007/s10666-014-9410-x (1) · http://link.springer.com/10.1007/s11269-019-02310-y (1) · http://link.springer.com/10.1007/s11269-019-02359-9 (1) · http://link.springer.com/10.1007/s11269-019-02367-9 (1) · http://link.springer.com/10.1007/s11269-019-02420-7 (1) · http://link.springer.com/10.1007/s11269-019-02427-0 (1) · http://neptjournal.com/upload-images/(18)D-1014-Final.pdf (1) · http://neptjournal.com/upload-images/(42)D-1036.pdf (1) · http://www.schweizerbart.de/papers/metz/detail/19/75364/Streamflow_in_the_upper_Mississippi_river_basin_as?af=crossref (1) · https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0000853 (1) · https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0000856 (1) · https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0000914 (1) · https://hess.copernicus.org/articles/19/4609/2015/ (1) · https://iwaponline.com/ws/article/19/3/753/41362/Quantifying-factors-influencing-runoff-in-mining (1) · https://onlinelibrary.wiley.com/doi/10.1002/ldr.4284 (1) · https://onlinelibrary.wiley.com/doi/10.1111/wej.12419 (1) · https://ovcre.uplb.edu.ph/journals-uplb/index.php/JESAM/article/view/159/141 (1) · https://srees.sggw.edu.pl/article/view/9790 (1) · https://www.mdpi.com/1660-4601/19/14/8389 (1) · https://www.tandfonline.com/doi/full/10.1080/15715124.2019.1683854 (1) · https://www.tandfonline.com/doi/full/10.1080/15715124.2020.1755301 (1)
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