Runoff simulation using a modified SWAT model with spatially continuous HRUs

被引:20
|
作者
Ning, Jicai [1 ]
Gao, Zhiqiang [1 ]
Lu, Qingshui [1 ]
机构
[1] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
基金
中国国家自然科学基金;
关键词
Hydrological model; Hydological response unit; Spatial discretization; Runoff lag; Taihu basin; WATER ASSESSMENT-TOOL; RIVER; GROUNDWATER; UNCERTAINTY; CATCHMENT; SOIL; CALIBRATION; STREAMFLOW; QUALITY; FUTURE;
D O I
10.1007/s12665-015-4613-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Soil and Water Assessment Tool (SWAT) model is a well-established eco-hydrologic model that employs the hydrological response unit (HRU) as the basic unit. Land surface patches within one HRU have identical hydrological properties (e.g., land use, soil, slope and management) and thus have similar hydrological responses. The non-spatial aspects of HRUs, however, are considered a key weakness of the SWAT model because it is difficult to determine the spatial locations and describe the interactions between different HRUs. Here, a new method to produce continuous HRUs with a clear spatial position for SWAT using Geographic Information System tools is proposed and then tested in a small catchment of the Taihu Basin, China. The SWAT model was then modified based on spatial continuous discretized HRUs accounting for the surface runoff lag difference of HRUs in one sub-basin. The results showed that the modified model was more sensitive to the lag in runoff processes and thus had better simulation accuracy.
引用
收藏
页码:5895 / 5905
页数:11
相关论文
共 50 条
  • [41] Runoff Prediction under Different Precipitation Scenarios Based on SWAT Model and Stochastic Simulation of Precipitation!
    Zhang, Jinping
    Wang, Yuhao
    [J]. JOURNAL OF HYDROLOGIC ENGINEERING, 2022, 27 (05)
  • [42] Dynamic calibration of phytoplankton blooms using the modified SWAT model
    Lee, Jiye
    Woo, So-Young
    Kim, Yong-Won
    Kim, Seong-Joon
    Pyo, JongCheol
    Cho, Kyung Hwa
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 343
  • [43] Simulation of Surface Runoff Using Hydrodynamic Model
    Yu, Chunshui
    Duan, Jennifer
    [J]. JOURNAL OF HYDROLOGIC ENGINEERING, 2017, 22 (06)
  • [44] Revisiting SWAT as a Saturation-Excess Runoff Model
    Steenhuis, Tammo S.
    Schneiderman, Elliot M.
    Mukundan, Rajith
    Linh Hoang
    Moges, Mamaru
    Owens, Emmet M.
    [J]. WATER, 2019, 11 (07)
  • [45] Simulation of surface runoff using semi distributed hydrological model for a part of Satluj Basin: parameterization and global sensitivity analysis using SWAT CUP
    Khatun S.
    Sahana M.
    Jain S.K.
    Jain N.
    [J]. Modeling Earth Systems and Environment, 2018, 4 (3) : 1111 - 1124
  • [46] Using the SWAT model to assess impacts of land use changes on runoff generation in headwaters
    Wang, Guoqiang
    Yang, Huicai
    Wang, Lijing
    Xu, Zongxue
    Xue, Baolin
    [J]. HYDROLOGICAL PROCESSES, 2014, 28 (03) : 1032 - 1042
  • [47] Effect of watershed delineation and areal rainfall distribution on runoff prediction using the SWAT model
    Rouhani, Hamed
    Willems, Patrick
    Feyen, Jan
    [J]. HYDROLOGY RESEARCH, 2009, 40 (06): : 505 - 519
  • [48] Assessing the Impact of Reservoir Parameters on Runoff in the Yalong River Basin using the SWAT Model
    Liu, Xuan
    Yang, Mingxiang
    Meng, Xianyong
    Wen, Fan
    Sun, Guangdong
    [J]. WATER, 2019, 11 (04)
  • [49] SURFACE RUNOFF AND SOIL EROSION ESTIMATION USING THE SWAT MODEL IN THE KELETA WATERSHED, ETHIOPIA
    Tibebe, D.
    Bewket, W.
    [J]. LAND DEGRADATION & DEVELOPMENT, 2011, 22 (06) : 551 - 564
  • [50] Simulation of Flow in the Capim River (PA) using the SWAT Model
    Garcia Caldas Nunes, Hildo Giuseppe
    Leao de Sousa, Adriano Marlisom
    Souza dos Santos, Joyse Tatiane
    [J]. FLORESTA E AMBIENTE, 2019, 26 (01):