Development and application of a GIS-based sediment budget model

被引:36
|
作者
Ramos-Scharron, Carlos E.
MacDonald, Lee H.
机构
[1] Colorado State Univ, Dept Geosci, Ft Collins, CO 80523 USA
[2] Colorado State Univ, Dept Forest Rangeland & Watershed Stewarship, Ft Collins, CO 80523 USA
关键词
GIS model; erosion; dry tropics; unpaved roads; sediment delivery ratio;
D O I
10.1016/j.jenvman.2006.05.019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accelerated erosion and increased sediment yields resulting from changes in land use are a critical environmental problem. Resource managers and decision makers need spatially explicit tools to help them predict the changes in sediment production and delivery due to unpaved roads and other types of land disturbance. This is a particularly important issue in much of the Caribbean because of the rapid pace of development and potential damage to nearshore coral reef communities. The specific objectives of this study were to: (1) develop a GIS-based sediment budget model; (2) use the model to evaluate the effects of unpaved roads on sediment delivery rates in three watersheds on St. John in the US Virgin Islands; and (3) compare the predicted sediment yields to pre-existing data. The St. John Erosion Model (STJ-EROS) is an ArcInfo-based program that uses empirical sediment production functions and delivery ratios to quantify watershed-scale sediment yields. The program consists of six input routines and five routines to calculate sediment production and delivery. The input routines have interfaces that allow the user to adjust the key variables that control sediment production and delivery. The other five routines use pre-set erosion rate constants, user-defined variables, and values from nine data layers to calculate watershed-scale sediment yields from unpaved road travelways, road cutslopes, streambanks, treethrow, and undisturbed hillslopes. STJ-EROS was applied to three basins on St. John with varying levels of development. Predicted sediment yields under natural conditions ranged from 2 to 7 Mg km(-2) yr(-1), while yield rates for current conditions ranged from 8 to 46 Mg km(-2) yr(-1). Unpaved roads are estimated to be increasing sediment delivery rates by 3-6 times for Lameshur Bay, 5-9 times for Fish Bay, and 4-8 times for Cinnamon Bay. Predicted basin-scale sediment yields for both undisturbed and current conditions are within the range of measured sediment yields and bay sedimentation rates. The structure and user interfaces in STJ-EROS mean that the model can be readily adapted to other areas and used to assess the impact of unpaved roads and other land uses sediment production and delivery. (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:157 / 172
页数:16
相关论文
共 50 条
  • [1] A GIS-based multimedia watershed model: development and application
    Coulibaly, L
    Labib, ME
    Hazen, R
    CHEMOSPHERE, 2004, 55 (07) : 1067 - 1080
  • [2] Development and evaluation of GIS-based runoff and sediment yield watershed scale model
    Abrar Yousuf
    Anil Bhardwaj
    Faizaan Yousuf
    Arabian Journal of Geosciences, 2022, 15 (19)
  • [3] The development of a GIS-based water quality model
    Hartnett, M
    Nash', S
    Mills, P
    RIVER BASIN MANAGEMENT II, 2003, 7 : 401 - 409
  • [4] GIS-based sediment assessment tool
    Lim, KJ
    Sagong, M
    Engel, BA
    Tang, ZX
    Choi, JD
    Kim, KS
    CATENA, 2005, 64 (01) : 61 - 80
  • [5] Development of a GIS-based watershed assessment model: Application to the Kentucky River Basin
    Ormsbee, L
    Colten, L
    Stumbur, T
    WATER RESOURCES AND THE URBAN ENVIRONMENT, 1998, : 745 - 750
  • [6] 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 - +
  • [7] A GIS-based hillslope erosion and sediment delivery model and its application in the Cerro Grande burn area
    Earth and Environmental Sciences, Los Alamos National Laboratory, MS J495, Los Alamos, NM 87545, United States
    不详
    Hydrol. Processes, 15 (2995-3010):
  • [8] A GIS-based hillslope erosion and sediment delivery model and its application in the Cerro Grande burn area
    Wilson, CJ
    Carey, JW
    Beeson, PC
    Gard, MO
    Lane, LJ
    HYDROLOGICAL PROCESSES, 2001, 15 (15) : 2995 - 3010
  • [9] 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
  • [10] GIS-based modelling of glacial sediment balance
    Zemp, M
    Kääb, A
    Hoelzle, M
    Haeberli, W
    Geomorphology in Environmental Application: (MOUNTAIN GEOMORPHOLOGY, MASS MOVEMENTS, FLUVIAL GEOMORPHOLOGY), 2005, 138 : 113 - 129