The NHDPlus dataset, watershed subdivision and SWAT model performance

被引:17
|
作者
Chiang, Li-Chi [1 ]
Yuan, Yongping [2 ]
机构
[1] Natl United Univ, Dept Civil & Disaster Prevent Engn, Miaoli 36003, Taiwan
[2] US EPA, Off Res & Dev, NERL ESD Landscape Ecol Branch, Las Vegas, NV 89193 USA
基金
美国国家环境保护局;
关键词
SWAT simulation; NHDPlus; watershed subdivision; HRU definition; runoff; sediment; total nitrogen; CALIBRATION; SIMULATION; SEDIMENT; SENSITIVITY; VALIDATION; MULTISITE; SCENARIOS; IMPACTS; BASIN; TEXAS;
D O I
10.1080/02626667.2014.916408
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The Soil and Water Assessment Tool (SWAT) has been developed to evaluate the effectiveness of agricultural management practices on watershed water quality. Many studies have indicated that watershed subdivision can affect the accuracy of model predictions. Most of them used the minimum drainage area (MDA) to delineate sub-watersheds, and varied the value of MDA depending on the size of the watershed being modelled. Instead of MDA, we use the National Hydrography Dataset Plus (NHDPlus)-an integration of the best features of the National Hydrography Dataset (NHD), Watershed Boundary Dataset (WBD), National Elevation Dataset (NED), and the National Land Cover Dataset (NLCD)-to delineate the watershed. The Kaskaskia River watershed in Illinois, USA, was selected to investigate the individual effects of sub-watershed and hydrologic response unit (HRU) delineations on predicted streamflow, total suspended sediment (TSS) and total nitrogen (TN) losses at two USGS gauges. In addition, an MDA of 3000 ha, and four levels of stream (the 2nd, 3rd, 4th and 5th order) were evaluated. Three levels of HRU threshold (5%, 10% and 15%) were used for each stream order model. The results show that stream order had little effect on predicted streamflow, but a great impact on TSS and TN losses, and the impact of HRU delineation became greater when a higher stream order was used to delineate the watershed. For higher stream order, fewer streams were recognized in SWAT simulations, which resulted in less sediment routing and channel processes, which, in turn, led to less deposition in the channels; thus high sediment losses were obtained at the watershed outlet. However, fewer channel processes led to less in-stream N processes; thus lower TN losses. Overall, the SWAT simulations performed the best when the 2nd stream order was used for delineations comparing with USGS observed data, followed by the 3rd stream order. Therefore, to fully depict the watershed characteristics to perform SWAT simulations, a stream order higher than 3rd order is not recommended for watershed delineation.
引用
收藏
页码:1690 / 1708
页数:19
相关论文
共 50 条
  • [31] Hydrological modelling of upper Ebonyi watershed using the SWAT model
    Ndulue E.L.
    Ezenne G.I.
    Mbajiorgu C.C.
    Ogwo V.
    Ogbu K.N.
    [J]. International Journal of Hydrology Science and Technology, 2018, 8 (02) : 120 - 133
  • [32] Distributed Watershed Hydrological Simulation Method Based on SWAT Model
    Liu, Dong
    Gao, Jianen
    [J]. JOURNAL OF COASTAL RESEARCH, 2020, : 738 - 741
  • [33] Application of SWAT model to Zhangweinan Canal sub-watershed
    Su Baolin
    Cai Xitian
    Sun Yongliang
    Xu Zongxue
    [J]. 2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [34] Understanding the effects of soil data quality on SWAT model performance and hydrological processes in Tamedroust watershed (Morocco)
    Bouslihim, Yassine
    Rochdi, Aicha
    El Amrani Paaza, Namira
    Liuzzo, Lorena
    [J]. JOURNAL OF AFRICAN EARTH SCIENCES, 2019, 160
  • [35] Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model
    Shi, Peng
    Chen, Chao
    Srinivasan, Ragahavan
    Zhang, Xuesong
    Cai, Tao
    Fang, Xiuqin
    Qu, Simin
    Chen, Xi
    Li, Qiongfang
    [J]. WATER RESOURCES MANAGEMENT, 2011, 25 (10) : 2595 - 2612
  • [36] Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model
    Peng Shi
    Chao Chen
    Ragahavan Srinivasan
    Xuesong Zhang
    Tao Cai
    Xiuqin Fang
    Simin Qu
    Xi Chen
    Qiongfang Li
    [J]. Water Resources Management, 2011, 25 : 2595 - 2612
  • [37] Performance of WASMOD and SWAT on hydrological simulation in Yingluoxia watershed in northwest of China
    Li, Zhanling
    Xu, Zongxue
    Li, Zhanjie
    [J]. HYDROLOGICAL PROCESSES, 2011, 25 (13) : 2001 - 2008
  • [38] Identifying sediment source areas in a Mediterranean watershed using the SWAT model
    Ricci, Giovanni Francesco
    De Girolamo, Anna Maria
    Abdelwahab, Ossama M. M.
    Gentile, Francesco
    [J]. LAND DEGRADATION & DEVELOPMENT, 2018, 29 (04) : 1233 - 1248
  • [39] SWAT Model Adaptability to a Small Mountainous Forested Watershed in Central Romania
    Tudose, Nicu Constantin
    Marin, Mirabela
    Cheval, Sorin
    Ungurean, Cezar
    Davidescu, Serban Octavian
    Tudose, Oana Nicoleta
    Mihalache, Alin Lucian
    Davidescu, Adriana Agafia
    [J]. FORESTS, 2021, 12 (07):
  • [40] Evaluation of the swat model's snowmelt hydrology in a northwestern Minnesota watershed
    Wang, X
    Melesse, AM
    [J]. TRANSACTIONS OF THE ASAE, 2005, 48 (04): : 1359 - 1376