A GIS-based variable source area hydrology model

被引:1
|
作者
Frankenberger, JR
Brooks, ES
Walter, MT [1 ]
Walter, MF
Steenhuis, TS
机构
[1] Cornell Univ, Dept Agr & Biol Engn, Ithaca, NY 14853 USA
[2] Purdue Univ, Dept Agr & Biol Engn, W Lafayette, IN 47907 USA
关键词
variable source hydrology; saturation-excess; runoff; subsurface lateral flow; distributed model; GIS; New York; GRASS; soil moisture routing model (SMR);
D O I
10.1002/(SICI)1099-1085(19990430)13:6<805::AID-HYP754>3.0.CO;2-M
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Effective control of nonpoint source pollution from contaminants transported by runoff requires information about the source areas of surface runoff. Variable source hydrology is widely recognized by hydrologists, yet few methods exist for identifying the saturated areas that generate most runoff in humid regions. The Soil Moisture Routing model is a daily water balance model that simulates the hydrology for watersheds with shallow sloping soils. The model combines elevation, soil, and land use data within the geographic information system GRASS, and predicts the spatial distribution of soil moisture, evapotranspiration, saturation-excess overland flow (i.e., surface runoff), and interflow throughout a watershed. The model was applied to a 170 hectare watershed in the Catskills region of New York State and observed stream flow hydrographs and soil moisture measurements were compared to model predictions. Stream flow prediction during non-winter periods generally agreed with measured flow resulting in an average r(2) of 0.73, a standard error of 0.01 m(3)/s, and an average Nash-Sutcliffe efficiency R-2 of 0.62. Soil moisture predictions showed trends similar to observations with errors on the order of the standard error of measurements. The model results were most accurate for non-winter conditions. The model is currently used for making management decisions for reducing non-point source pollution from manure spread fields in the Catskill watersheds which supply New York City's drinking water. Copyright (C) 1999 John Wiley & Sons, Ltd.
引用
收藏
页码:805 / 822
页数:18
相关论文
共 50 条
  • [41] RockGIS: a GIS-based model for the analysis of fragmentation in rockfalls
    Matas, G.
    Lantada, N.
    Corominas, J.
    Gili, J. A.
    Ruiz-Carulla, R.
    Prades, A.
    LANDSLIDES, 2017, 14 (05) : 1565 - 1578
  • [42] A GIS-based plant prediction model for wetland ecosystems
    van Horssen, PW
    Schot, PP
    Barendregt, A
    LANDSCAPE ECOLOGY, 1999, 14 (03) : 253 - 265
  • [43] A GIS-based multimedia watershed model: development and application
    Coulibaly, L
    Labib, ME
    Hazen, R
    CHEMOSPHERE, 2004, 55 (07) : 1067 - 1080
  • [44] A GIS-based model of Serengeti grassland bird species
    Gottschalk, Thomas K.
    Ekschmitt, Klemens
    Bairlein, Franz
    OSTRICH, 2007, 78 (02) : 259 - 263
  • [45] A GIS-based multicriteria model for the evaluation of territorial accessibility
    Mendes, JFG
    Rodrigues, DS
    Ramos, RAR
    Sustainable Development and Planning II, Vols 1 and 2, 2005, 84 : 795 - 804
  • [46] A GIS-BASED HEDONIC PRICE MODEL FOR AGRICULTURAL LAND
    Demetriou, Demetris
    THIRD INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2015), 2015, 9535
  • [47] A GIS-Based Traffic Noise Model for Street Intersections
    Brechmann, Rebekah M.
    Tawfik, Aly M.
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2018: PLANNING, SUSTAINABILITY, AND INFRASTRUCTURE SYSTEMS, 2018, : 253 - 264
  • [48] The Study and Application of GIS-based distributed Hydrological Model
    Wang, Guizuo
    Fang, Tianfang
    Ren, Liliang
    Zhang, Jinping
    2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 2, PROCEEDINGS,, 2009, : 223 - +
  • [49] RockGIS: a GIS-based model for the analysis of fragmentation in rockfalls
    G. Matas
    N. Lantada
    J. Corominas
    J. A. Gili
    R. Ruiz-Carulla
    A. Prades
    Landslides, 2017, 14 : 1565 - 1578
  • [50] Development of a GIS-Based Model for Predicting Rice Yield
    Maloom, Juanito M.
    Saludes, Ronaldo B.
    Dorado, Moises A.
    Cruz, Pompe C. Sta.
    PHILIPPINE JOURNAL OF CROP SCIENCE, 2014, 39 (03): : 8 - 19