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Study on Applicability of Distributed Hydrological Model under Different Terrain Conditions

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  • Tianxin Li

    (School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
    Beijing Key Laboratory of Resource–Oriented Treatment of Industrial Pollutants, Beijing 100083, China)

  • Yuxin Duan

    (School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
    Beijing Key Laboratory of Resource–Oriented Treatment of Industrial Pollutants, Beijing 100083, China)

  • Shanbo Guo

    (Beijing Municipal Engineering Consulting Corporation, Beijing 100124, China)

  • Linglong Meng

    (Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China)

  • Matomela Nametso

    (School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
    Beijing Key Laboratory of Resource–Oriented Treatment of Industrial Pollutants, Beijing 100083, China)

Abstract

This research aimed to study the applicability and limitations of a distributed hydrological model under discontinuous steep topography and hydrogeological conditions. Based on GIS spatial analysis, typical cases of steep and gentle terrains were selected to construct the distributed hydrological model framework of the research areas (Qinhuangdao and Zhuanghe City, China). The observed runoff was used to test the applicability of the model in different terrain watersheds and to analyze the versatility of the model structure and the relevant parameters of the core modules. The results show that: in the process of using a distributed hydrological model to build models for different regions, problems such as a discontinuous dislocation of the empty area and poor connectivity of the water system will appear in the process of sub-basin division of a steep terrain. By determining the optimal threshold, selecting the best node, discontinuous dislocation, void fusion and other methods, we put forward the corresponding solutions to the problems in the division process and constructed the research area’s distributed hydrological model. The rainfall–runoff process in the study area was simulated accordingly, and the SUFI2 algorithm was used to calibrate the relevant parameters in the model. The relative error (Re), correlation coefficient ( R 2) and Nash–Sutcliffe efficiency ( NSE ), which meet the runoff accuracy in the study area, were obtained. The model verification results show that the NSE of steep terrain is 0.90, and R 2 is 0.98; the NSE of gentle terrain is 0.91, and R 2 is 0.984: the simulation values fit the measured values well, which makes the calibrated model suitable for both steep and gentle terrains. The results can provide a reference for the construction of a distributed hydrological model in watersheds with different terrain.

Suggested Citation

  • Tianxin Li & Yuxin Duan & Shanbo Guo & Linglong Meng & Matomela Nametso, 2020. "Study on Applicability of Distributed Hydrological Model under Different Terrain Conditions," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9684-:d:448084
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    References listed on IDEAS

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    1. Fanhao Meng & Chula Sa & Tie Liu & Min Luo & Jiao Liu & Lin Tian, 2020. "Improved Model Parameter Transferability Method for Hydrological Simulation with SWAT in Ungauged Mountainous Catchments," Sustainability, MDPI, vol. 12(9), pages 1-19, April.
    2. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    3. Ye Tian & Yue-Ping Xu & Xu-Jie Zhang, 2013. "Assessment of Climate Change Impacts on River High Flows through Comparative Use of GR4J, HBV and Xinanjiang Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2871-2888, June.
    4. Yufeng Wang & Jingli Shao & Chuntian Su & Yali Cui & Qiulan Zhang, 2019. "The Application of Improved SWAT Model to Hydrological Cycle Study in Karst Area of South China," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
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