Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-689-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-22-689-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparative analyses of hydrological responses of two adjacent watersheds to climate variability and change using the SWAT model
Sangchul Lee
CORRESPONDING AUTHOR
Department of Environmental Science and Technology, University of
Maryland, College Park, MD 20742, USA
US Department of Agriculture-Agricultural Research Service,
Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
In-Young Yeo
School of Engineering, the University of Newcastle, Callaghan NSW
2308, Australia
Department of Geographical Sciences, University of Maryland,
College Park, MD 20742, USA
Ali M. Sadeghi
US Department of Agriculture-Agricultural Research Service,
Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
Gregory W. McCarty
US Department of Agriculture-Agricultural Research Service,
Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
Wells D. Hively
US Geological Survey, Eastern Geographic Science Center, Reston,
VA 20192, USA
Megan W. Lang
Department of Geographical Sciences, University of Maryland,
College Park, MD 20742, USA
US Fish & Wildlife Service, National Wetlands Inventory, Falls
Church, VA 22041, USA
Amir Sharifi
Department of Energy and Environment, Government of the District of
Columbia, Washington, DC 20002, USA
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- Uncertainty assessment of multi-parameter, multi-GCM, and multi-RCP simulations for streamflow and non-floodplain wetland (NFW) water storage S. Lee et al. 10.1016/j.jhydrol.2021.126564
- Warming and human activities induced changes in the Yarlung Tsangpo basin of the Tibetan plateau and their influences on streamflow L. Cuo et al. 10.1016/j.ejrh.2019.100625
- Assessing the effectiveness of riparian buffers for reducing organic nitrogen loads in the Coastal Plain of the Chesapeake Bay watershed using a watershed model S. Lee et al. 10.1016/j.jhydrol.2020.124779
- Evolutionary effect separation of watershed characteristics for the multi-source contributions to runoff changes in the Yellow River, China X. Li et al. 10.1016/j.ecolind.2022.109398
- Sediment load variability in response to climate and land use changes in a Carpathian catchment (Raba River, Poland) E. Szalińska et al. 10.1007/s11368-020-02600-8
- Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT model H. Liu et al. 10.2166/ws.2024.037
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- Employing higher density lower reliability weather data from the Global Historical Climatology Network monitors to generate serially complete weather data for watershed modelling R. Garna et al. 10.1002/hyp.15013
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Latest update: 14 Dec 2024
Short summary
Climate change is expected to worsen water quality in the Chesapeake Bay Watershed. To efficiently mitigate climate change impacts, it is important to understand changes in hydrology and nutrient cycles under climate change. This study examined key factors vulnerable to climate change considering local characteristics. Croplands were a decisive factor in degrading water quality for this region. Thus, mitigation activities should be prepared for croplands to reduce water quality degradation.
Climate change is expected to worsen water quality in the Chesapeake Bay Watershed. To...