Effect of DEM data resolution on SWAT output uncertainty

被引:167
作者
Chaubey, I
Cotter, AS
Costello, TA
Soerens, TS
机构
[1] Univ Arkansas, Dept Biol & Agr Engn, Fayetteville, AR 72701 USA
[2] Univ Arkansas, Dept Civil Engn, Fayetteville, AR 72701 USA
关键词
SWAT; DEM data resolution; output uncertainty;
D O I
10.1002/hyp.5607
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This paper describes the effect of DEM data resolution on predictions from the SWAT model. Measured hydrologic, meteorological, watershed characteristics and water quality data from Moores Creek watershed (near Lincoln, AR, USA) were used in the simulation. The effect of input data resolution was evaluated by running seven scenarios at increasing DEM grid sizes (30 x 30 m, 100 x 100 m, 150 x 150 m, 200 x 200 m, 300 x 300 m, 500 x 500 m, 1000 x 1000 m). The model was calibrated on an annual basis for flow, NO3-N and total P using 30 x 30 m DEM data. The predicted output at the calibrated scale was used to evaluate output accuracy for the remaining input resolutions. Results of this study showed that DEM resolution affects the watershed delineation, stream network and sub-basin classification in the SWAT model. A decrease in DEM resolution resulted in decreased stream flow and NO3-N load predictions. However, model predicted total P did not always decrease with DEM resolution. Results of this study indicate that the choice of input DEM resolution depends on the watershed response of interest. Minimum DEM data resolution ranged from 100 to 200 m to achieve less than 10% error in SWAT output for flow, NO3-N and TP predictions. Copyright (C) 2005 John Wiley Sons, Ltd.
引用
收藏
页码:621 / 628
页数:8
相关论文
共 22 条
  • [1] Large area hydrologic modeling and assessment - Part 1: Model development
    Arnold, JG
    Srinivasan, R
    Muttiah, RS
    Williams, JR
    [J]. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 1998, 34 (01): : 73 - 89
  • [2] A COMPREHENSIVE SURFACE-GROUNDWATER FLOW MODEL
    ARNOLD, JG
    ALLEN, PM
    BERNHARDT, G
    [J]. JOURNAL OF HYDROLOGY, 1993, 142 (1-4) : 47 - 69
  • [3] Quantifying model output uncertainty due to spatial variability of rainfall
    Chaubey, I
    Haan, CT
    Salisbury, JM
    Grunwald, S
    [J]. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 1999, 35 (05): : 1113 - 1123
  • [4] Sensitivity considerations when modeling hydrologic processes with digital elevation model
    Cho, SM
    Lee, M
    [J]. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2001, 37 (04): : 931 - 934
  • [5] Water quality model output uncertainty as affected by spatial resolution of input data
    Cotter, AS
    Chaubey, I
    Costello, TA
    Soerens, TS
    Nelson, MA
    [J]. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2003, 39 (04): : 977 - 986
  • [6] Di Luzio M, 2002, J AM WATER RESOUR AS, V38, P1127, DOI 10.1111/j.1752-1688.2002.tb05551.x
  • [7] Edwards DR, 1996, WATER RESOUR BULL, V32, P499
  • [8] Edwards DR, 1997, T ASAE, V40, P1311, DOI 10.13031/2013.21389
  • [9] IMPACT OF SMALL-SCALE SPATIAL RAINFALL VARIABILITY ON RUNOFF MODELING
    FAURES, JM
    GOODRICH, DC
    WOOLHISER, DA
    SOROOSHIAN, S
    [J]. JOURNAL OF HYDROLOGY, 1995, 173 (1-4) : 309 - 326
  • [10] MEASUREMENT AND ANALYSIS OF SMALL-SCALE CONVECTIVE STORM RAINFALL VARIABILITY
    GOODRICH, DC
    FAURES, JM
    WOOLHISER, DA
    LANE, LJ
    SOROOSHIAN, S
    [J]. JOURNAL OF HYDROLOGY, 1995, 173 (1-4) : 283 - 308