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.
Research article
| 
25 Jan 2018
Research article |
| 25 Jan 2018
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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37 citations as recorded by crossref.
- Runoff Predicting and Variation Analysis in Upper Ganjiang Basin under Projected Climate Changes C. Deng & W. Wang 10.3390/su11215885
- Attribution of climate change and human activities to streamflow variations with a posterior distribution of hydrological simulations X. Tang et al. 10.5194/hess-26-5315-2022
- Quantifying and projection of the relative impacts of climate change and direct human activities on streamflow fluctuations A. Dariane & E. Pouryafar 10.1007/s10584-021-03060-w
- Using vegetation correction coefficient to modify a dynamic particulate nutrient loss model for monthly nitrogen and phosphorus load predictions: a case study in a small loess hilly watershed L. Wu et al. 10.1007/s11356-019-06564-2
- The Contributions of Climate Changes and Human Activities to Long-Term Variations in Lake Sediments Based on Results from Generalized Additive Models Z. He et al. 10.1007/s11269-018-2167-2
- Uncertainty Analysis of SWAT Modeling in the Lancang River Basin Using Four Different Algorithms X. Tang et al. 10.3390/w13030341
- Water quality impacts of climate change, land use, and population growth in the Chesapeake Bay watershed G. Bhatt et al. 10.1111/1752-1688.13144
- Climate change and human activities reduced the burial efficiency of nitrogen and phosphorus in sediment from Dianchi Lake, China Q. Chen et al. 10.1016/j.jclepro.2020.122839
- Assessing Non-Point Source Pollution in a Rapidly Urbanizing Sub-Basin to Support Intervention Planning E. Assegide et al. 10.3390/w16233447
- Impacts of Climate and Land Use Change on Hydrological Response in Gumara Watershed, Ethiopia A. Teklay et al. 10.1016/j.ecohyd.2020.12.001
- Modelling the impact of future climate change on streamflow and water quality in Wales, UK R. Dallison et al. 10.1080/02626667.2022.2044045
- Assessing the vulnerability of water resources in the context of climate changes in a small forested watershed using SWAT: A review M. Marin et al. 10.1016/j.envres.2020.109330
- Assessing the suitability of the Soil Vulnerability Index (SVI) on identifying croplands vulnerable to nitrogen loss using the SWAT model S. Lee et al. 10.1016/j.catena.2018.04.021
- Do Land Use Changes Balance out Sediment Yields under Climate Change Predictions on the Sub-Basin Scale? The Carpathian Basin as an Example P. Orlińska-Woźniak et al. 10.3390/w12051499
- The combined impact of redcedar encroachment and climate change on water resources in the Nebraska Sand Hills Y. Kishawi et al. 10.3389/frwa.2022.1044570
- Impacts of Global Circulation Model (GCM) bias and WXGEN on Modeling Hydrologic Variables S. Lee et al. 10.3390/w10060764
- Total nitrogen and phosphorus loads in surface runoff from urban land use (city of Lublin) under climate change E. Szalińska et al. 10.1007/s11356-024-34365-9
- 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
- The determinants of farmers’ fertilizers and pesticides use behavior in China: An explanation based on label effect W. Zheng et al. 10.1016/j.jclepro.2020.123054
- Water quality prediction using SWAT-ANN coupled approach N. Noori et al. 10.1016/j.jhydrol.2020.125220
- Predicting Climate Change Impacts on Water Balance Components of a Mountainous Watershed in the Northeastern USA B. Abesh et al. 10.3390/w14203349
- Separating climate change and human contributions to variations in streamflow and its components using eight time‐trend methods L. Zhang et al. 10.1002/hyp.13331
- SIE‐Climate: A methodological and technological tool for predicting local climate variability in managing socio‐ecological systems E. Sierra‐Cárdenas et al. 10.1002/joc.7277
- Hydroclimatic Impact Assessment Using the SWAT Model in India—State of the Art Review S. Dubey et al. 10.3390/su152215779
- Mapping landscape-level hydrological connectivity of headwater wetlands to downstream waters: A catchment modeling approach - Part 2 I. Yeo et al. 10.1016/j.scitotenv.2018.11.237
- 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
- Impacts of climate change and vegetation response on future aridity in a Mediterranean catchment L. Villani et al. 10.1016/j.agwat.2024.108878
- The Effects of Land Use and Climate Change on the Water Yield of a Watershed in Colombia S. Villamizar et al. 10.3390/w11020285
- Implications of climate change on nutrient pollution: a look into the nitrogen and phosphorus loadings in the Great Miami and Little Miami watersheds in Ohio E. Ariel L. Salas & S. Kumaran Subburayalu 10.3934/environsci.2019.3.186
- Effects of the virgin forests to the dissolved organic matters in small forested watershed: a case study of the Tangwang River in Northeast China S. Wang et al. 10.1007/s11356-021-13060-z
- Impact of future climate change on river discharge and groundwater recharge: a case study of Ho Chi Minh City, Vietnam D. Khoi et al. 10.2166/wcc.2022.379
- Factors affecting Chinese farmers' environment-friendly pesticide application behavior: A meta-analysis H. Li et al. 10.1016/j.jclepro.2023.137277
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Latest update: 22 Feb 2025
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...
