The Application of Improved SWAT Model to Hydrological Cycle Study in Karst Area of South China

被引:13
|
作者
Wang, Yufeng [1 ]
Shao, Jingli [1 ]
Su, Chuntian [2 ]
Cui, Yali [1 ]
Zhang, Qiulan [1 ]
机构
[1] China Univ Geosci Beijing, Sch Water Resources & Environm, Beijing 100083, Peoples R China
[2] Chinese Acad Geol Sci, Inst Karst Geol, Guilin 541000, Peoples R China
基金
国家重点研发计划;
关键词
karst area; lumped hydrological model; distributed hydrological model; improved SWAT model; STREAMFLOW RECESSION; SPRING DISCHARGE; BASEFLOW; FLOW; SIMULATION; FRAMEWORK; RUNOFF;
D O I
10.3390/su11185024
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the karst area of southern China, karst water is important for supporting the sustainable production and home living for the local residents. Consequently, it is of significance to fully understand the water cycle, so as to make full use of water resources. In karst areas, epikarst and conduits are developed, participating in the hydrological cycle actively. For conventional lumped hydrologic models, it is difficult to simulate the hydrological cycle accurately. These models neglect to consider the variation of underlying surface and weather change. Meanwhile, for the original distributed hydrological model, the existence of epikarst and underground conduits as well as inadequate data information also make it difficult to achieve accurate simulation. To this end, the framework combining the advantages of lumped model-reservoir model and distributed hydrologic model-Soil and Water Assessment Tool (SWAT) model is established to simulate the water cycle efficiently in a karst area. Xianghualing karst watershed in southern China was selected as the study area and the improved SWAT model was used to simulate the water cycle. Results show that the indicators of E-NS and R-2 in the calibration and verification periods are both above 0.8, which is evidently improved in comparison with the original model. The improved SWAT model is verified to have better efficiency in describing the hydrological cycle in a typical karst area.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Hydrological study of the water quality of the Beja River according to the SWAT model
    Ben Othman, Dorsaf
    Gueddari, Moncef
    DESALINATION AND WATER TREATMENT, 2014, 52 (10-12) : 2047 - 2056
  • [32] Production of maize in the karst mountain area of South-West China
    Shinano, T.
    Taigen, Z.
    Yamamura, T.
    Meng, Y.
    Lu, W.
    Tan, H.
    TROPICAL AGRICULTURE, 2004, 81 (04): : 204 - 210
  • [33] Analysis of sinkholes in a karst area adjacent to three mines in south China
    Xiaozhen Jiang
    Wangfang Zhou
    Zhende Guang
    Zongyuan Pan
    Xiao Ma
    Discover Water, 3 (1):
  • [34] Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia
    Zhang, Hong
    Wang, Bin
    Liu, De Li
    Zhang, Mingxi
    Leslie, Lance M.
    Yu, Qiang
    JOURNAL OF HYDROLOGY, 2020, 585
  • [35] Simulation and Prediction of Soil Erosion in Typical Karst Rocky Desertification Area Based on SWAT Model
    Liu, Qi
    Deng, Dapeng
    Yao, Bangjie
    Lu, Kewen
    ENGINEERING GEOLOGY FOR A HABITABLE EARTH, VOL 3, IAEG XIV CONGRESS 2023, 2024, : 681 - 695
  • [36] An Application of Correlation and Spectral Analysis in Hydrological Study of Neighboring Karst Springs
    Denic-Jukic, Vesna
    Lozic, Ana
    Jukic, Damir
    WATER, 2020, 12 (12)
  • [37] Evaluation of hydrological response to extreme climate variability using SWAT model: application to the Fuhe basin of Poyang Lake watershed, China
    Lu, Jianzhong
    Cui, Xiaolin
    Chen, Xiaoling
    Sauvage, Sabine
    Perez, Jose-Miguel Sanchez
    HYDROLOGY RESEARCH, 2017, 48 (06): : 1730 - 1744
  • [38] Fractal analysis of tropical karst relief - South China Karst case study
    Andreychouk, Viacheslav
    Blachowicz, Tomasz
    Dluzewski, Maciej
    GEOLOGICAL QUARTERLY, 2019, 63 (04): : 729 - 740
  • [39] Runoff simulation of Tangnaihai hydrological station in source area of Yellow River based on SWAT model
    Li, K.
    Wang, Y. Q.
    Xu, J. J.
    Hong, X. F.
    Feng, Y.
    6TH INTERNATIONAL CONFERENCE ON WATER RESOURCE AND ENVIRONMENT, 2020, 612
  • [40] Study on Monitoring Problems and Solutions of South China Karst
    Zhang, Zhenzhen
    Xiong, Kangning
    Xiao, Shizhen
    Proceedings of the 2016 International Conference on Civil, Structure and Environmental Engineering, 2016, 65 : 263 - 270