Scaling Effects of Elevation Data on Urban Nonpoint Source Pollution Simulations

被引:2
|
作者
Dai, Ying [1 ]
Chen, Lei [1 ]
Zhang, Pu [1 ]
Xiao, Yuechen [1 ]
Shen, Zhenyao [1 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
DEM data; scale effect; urban pollution; nonpoint source pollution; information entropy; WATER-QUALITY; LANDSCAPE PATTERN; RAINFALL-RUNOFF; DEM RESOLUTIONS; ENTROPY THEORY; MODEL; SWAT; IDENTIFICATION; VARIABILITY; AREAS;
D O I
10.3390/e21010053
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The scale effects of digital elevation models (DEM) on hydrology and nonpoint source (NPS) pollution simulations have been widely reported for natural watersheds but seldom studied for urban catchments. In this study, the scale effect of DEM data on the rainfall-runoff and NPS pollution was studied in a typical urban catchment in China. Models were constructed based on the DEM data of nine different resolutions. The conventional model performance indicators and the information entropy method were applied together to evaluate the scale effects. Based on the results, scaling effects and a resolution threshold of DEM data exist for urban NPS pollution simulations. Compared with natural watersheds, the urban NPS pollution simulations were primarily affected by the local terrain due to the overall flat terrain and dense sewer inlet distribution. The overland process simulation responded more sensitively than the catchment outlet, showing prolonged times of concentration for impervious areas with decreasing DEM resolution. The diverse spatial distributions and accumulation magnitudes of pollutants could lead to different simulation responses to scaling effects. This paper provides information about the specific characteristics of the scale effects of DEM data in a typical urban catchment, and these results can be extrapolated to other similar catchments as a reference for data collection.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Effects of the spatial resolution of urban drainage data on nonpoint source pollution prediction
    Dai, Ying
    Chen, Lei
    Hou, Xiaoshu
    Shen, Zhenyao
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (15) : 14799 - 14812
  • [2] Effects of the spatial resolution of urban drainage data on nonpoint source pollution prediction
    Ying Dai
    Lei Chen
    Xiaoshu Hou
    Zhenyao Shen
    Environmental Science and Pollution Research, 2018, 25 : 14799 - 14812
  • [3] Nonpoint source pollution of urban stormwater runoff: a methodology for source analysis
    Petrucci, Guido
    Gromaire, Marie-Christine
    Shorshani, Masoud Fallah
    Chebbo, Ghassan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2014, 21 (17) : 10225 - 10242
  • [4] Nonpoint source pollution of urban stormwater runoff: a methodology for source analysis
    Guido Petrucci
    Marie-Christine Gromaire
    Masoud Fallah Shorshani
    Ghassan Chebbo
    Environmental Science and Pollution Research, 2014, 21 : 10225 - 10242
  • [5] Nonpoint source pollution
    Gang, D.D. (Gang@louisiana.edu), 1715, Water Environment Federation (85):
  • [6] Nonpoint source pollution
    Lin, Lu
    Deng, Zhi-Qiang
    Gang, Daniel Dianchen
    Water Environment Research, 2009, 81 (10) : 1996 - 2018
  • [7] NONPOINT SOURCE POLLUTION
    ALM, AL
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1991, 25 (08) : 1369 - 1369
  • [8] Nonpoint source pollution
    Islam F.
    Lian Q.
    Ahmad Z.U.
    Zappi M.E.
    Yao L.
    Gang D.D.
    Water Environment Research, 2018, 90 (10) : 1872 - 1898
  • [9] NONPOINT SOURCE POLLUTION
    ISCHINGER, LS
    FISHERIES, 1979, 4 (02) : 50 - 52
  • [10] Nonpoint Source Pollution
    McCoy, Nicholas
    Chao, Bing
    Gang, Daniel Dianchen
    WATER ENVIRONMENT RESEARCH, 2015, 87 (10) : 1576 - 1594