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Integrated Assessment of the Land Use Change and Climate Change Impact on Baseflow by Using Hydrologic Model

Author

Listed:
  • Jimin Lee

    (Water Environmental Research Department, National Institute of Environmental Research (NIER), Hwangyong-ro 42, Seogu, Incheon 22689, Republic of Korea)

  • Minji Park

    (Water Environmental Research Department, National Institute of Environmental Research (NIER), Hwangyong-ro 42, Seogu, Incheon 22689, Republic of Korea)

  • Joong-Hyuk Min

    (Water Environmental Research Department, National Institute of Environmental Research (NIER), Hwangyong-ro 42, Seogu, Incheon 22689, Republic of Korea)

  • Eun Hye Na

    (Water Environmental Research Department, National Institute of Environmental Research (NIER), Hwangyong-ro 42, Seogu, Incheon 22689, Republic of Korea)

Abstract

Changes in land use and climate can affect both the surface runoff and baseflow of streamflow. Baseflow significantly contributes to stream function in regions where climatic characteristics are seasonally distinct. Baseflow estimation depends on the observed streamflow in gauge water sheds, but baseflow estimations in data-poor or gauged watersheds depend solely on streamflow predicted from the hydrologic model. To accurately predict base runoff through the model, it is necessary to apply proper hydrological parameters. Accordingly, the objectives of this study are to (1) improve predictions of SWAT by applying the alpha factor estimated using BFLOW for calibration, and (2) evaluate streamflow and baseflow the effects of changes in land use and climate. The results show the alpha factor estimated using BFLOW in SWAT calibration improves the prediction for streamflow and recessions in the baseflow. In this study, streamflow increased due to land use change (impervious urban and agricultural areas), while baseflow decreased. The baseflow was more significant in the dry season than in the wet season, and the baseflow fluctuation was significant from February to May. Moreover, the changes in land use in the study area lead to differences in the seasonal characteristics observed for the temporal distribution of streamflow and baseflow.

Suggested Citation

  • Jimin Lee & Minji Park & Joong-Hyuk Min & Eun Hye Na, 2023. "Integrated Assessment of the Land Use Change and Climate Change Impact on Baseflow by Using Hydrologic Model," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12465-:d:1218551
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    References listed on IDEAS

    as
    1. H. Moel & J. Aerts, 2011. "Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 407-425, July.
    2. Singh, A. & Imtiyaz, M. & Isaac, R.K. & Denis, D.M., 2012. "Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India," Agricultural Water Management, Elsevier, vol. 104(C), pages 113-120.
    3. Grant Ferguson & Tom Gleeson, 2012. "Vulnerability of coastal aquifers to groundwater use and climate change," Nature Climate Change, Nature, vol. 2(5), pages 342-345, May.
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