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GeoResources Institute INFLUENCE OF ELEVATION DATASET ON WATERSHED DELINEATION OF THREE CATCHMENTS IN MISSISSIPPI Vladimir J. Alarcon* Chuck O’Hara* William McAnally** James Martin** Jairo Diaz** Zhiyong Duan** * GeoResources Institute, Mississippi State University ** Civil Engineering Department, Mississippi State University

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  • GeoResources Institute

    INFLUENCE OF ELEVATION DATASET ON WATERSHED DELINEATION OF THREE

    CATCHMENTS IN MISSISSIPPI

    Vladimir J. Alarcon*Chuck OHara*

    William McAnally**James Martin**

    Jairo Diaz**Zhiyong Duan**

    * GeoResources Institute, Mississippi State University

    ** Civil Engineering Department, Mississippi State University

  • GeoResources Institute Introduction

    Effects of the quality of Digital Elevation data in hydrological simulations are substantial.

    Digital Elevation Models grid size, scale affect significantly the calculation of

    topographic descriptors of catchments slope, catchment area, topographic index, etc.

    Topographic parameters are used by hydrological models to estimate runoff, stream flow, base flow and other hydrological indicators.

  • GeoResources Institute Objectives

    This paper investigates the effect of DEM characteristics on the delineation of three catchments in Mississippi Jourdan River, Wolf River and Luxapalilla Creek

    The study focuses in the implications of different delineations (resulting from the use of different DEM data) on parameter values exported to the HSPF hydrological model.

  • GeoResources Institute Study areas 2 catchments in Saint

    Louis Bay Watershed Wolf River

    Catchment area: 983 sq. km Average flow: 20.1 cms

    Jourdan River: Largest contributor of flow to

    the Saint Louis Bay Catchment area: 882 sq. km Average flow: 24.5 cms

    Luxapalilla watershed Located in northeastern

    Mississippi and northwestern Alabama.

    Catchment area is approximately 1852 sq. km

    A

    Jourdan

    Wolf

  • GeoResources Institute MethodologyWatershed delineation

    Two elevation datasets were used to delineate the Saint Louis Bay and Luxapalilla watersheds. EPA-USGS DEM: 300 Meter Resolution, 1-Degree Digital Elevation Models

    (DEM) that corresponds to 3 arc-second (or 1:250,000-scale) USGS topographic map series.

    EPA-NED: USGS 30 Meter Resolution, One-Sixtieth Degree National Elevation Dataset. Current studies include 30-m-SRTM and 5-m-IFSAR data. Results will be presented in

    future reports. The watersheds under study were delineated using the automatic

    delineation option available in BASINS. To compare results, all delineations were performed with:

    no-flow towards inner cells, 38 sq km threshold area, 31 outlets (1 outlet was manually placed at the location of the USGS 02481510

    Station at Landon). The National Hydrographic Dataset (NHD) for streams was used in all

    delineation procedures.

  • GeoResources InstituteMethodology

    Comparison BASINS summarizes the topographic information per sub-basin

    and per stream in two tables: These tables are used to do a comparison (per sub-basin) between

    the resulting delineations from the different elevation datasets for each of the watersheds under study.

    AttributesStreams

    HSPF

    AttributesSub-basins

    DELINEATION TABLES

    BASINS

  • GeoResources InstituteMethodology

    Comparison tables

    BASINS : Attributes of Sub-basins

    Sub-basin area

    AREA

    SCHEMATIC

    AREA FACTOR

    Sub-basin slope

    SLO1

    Stream depth

    DEP1

    PWAT_PARM2

    SLSUR

    F-TABLES

    Used as a reference depth to calculate

    other F-table depth values

    Stream width

    WID1

    F-TABLES

    Used to calculate mean wet area with

    depth and length

    BASINS : Attributes of Streams

    Maximum/minimum Elevation

    MaxEl/MinEl

    RCHRES-HYDR-PARM2

    Used to calculate DELTH

    Stream length

    LEN2

    RCHRES-HYDR-PARM2

    LEN

    HSPF

    HSPF

    A

    B

  • GeoResources Institute

    NSUR

    DEP1

    Strea

    m Le

    ngth

    LEN2

    SUB-BASIN AREA

    SLSUR

    LSUR

    WID1

    BASINS-HSPF variables

    Max Elev

    Min Elev

  • GeoResources Institute Results Jourdan and Wolf Rivers catchments in Saint Louis Bay

    A BUSGS-DEM (250K, 300 m)

    NED (24K, 30 m)

  • GeoResources Institute ResultsPercent differences in topographical indicators for Jourdan River

    PERCENT DIFFERENCES

    Basin Sub-basin name Area Slope1 Wid1 Dep1 Length2 Slo2 Min El Max El

    9 Hickory Creek 0.51 209.69 0.30 0.20 10.02 77.31 -46.17 10.33

    10 White Cypress Creek 0.35 295.51 0.21 0.14 27.20 17.86 -46.28 -14.22

    11 Catahoula Creek -1.25 190.76 -0.75 -0.50 4.08 10.18 -63.29 -9.04

    12 Crane Pond Branch -9.36 209.95 -5.72 -3.84 11.76 8.90 -68.00 -30.63

    14 Jourdan River -16.81 1322.55 -10.46 -7.12 7.26 245.15 -55.00 -8.50

    13 Crabgrass Creek -3.50 238.11 -2.11 -1.42 5.17 218.06 -57.17 1.20

    17 7.39 344.73 4.37 2.91 3.32 39.84 -70.63 -32.25

    18 Dead Tiger Creek -11.94 295.71 -7.35 -4.95 -70.46 806.53 -70.88 -44.33

    20 Jourdan River -42.66 508.70 -28.38 -19.96 16.65 -16.31 -75.33 -29.75

    300m-250K-USGS-DEM-calculated overland flow plane slopes (SLO1) are up to 14 times bigger than SLO1 values calculated using 30m-24K-NED.

    Stream Lengths (LEN2) are slightly bigger Minimum Elevation (Min El) values are slightly smaller

  • GeoResources Institute Results Percent differences in topographical indicators for Wolf River

    PERCENT DIFFERENCES

    BasinSub-basin name Area Slo1 Wid1 Dep1 Len2 Slo2 MinEl MaxEl

    1 Wolf River 1.73 -59.57 1.03 0.69 -5.00 -5.06 13.51 2.81

    2Alligator Creek -0.34 -66.70 -0.20 -0.14 -60.96 -42.87 6.98 -11.10

    3 Wolf River 1.09 -67.56 0.65 0.43 -18.87 -22.76 30.04 0.55

    4 Murder Creek 0.62 -61.92 0.37 0.25 -3.88 -31.08 28.33 -0.58

    5 Crane Creek 6.45 -67.52 3.82 2.53 -9.56 -2.87 -3.45 -8.29

    6 Wolf River -3.99 -65.56 -2.42 -1.61 -18.69 29.84 -0.99 2.12

    23 Wolf River (*) -1.38 -64.20 -38.21 -27.46 -12.46 -28.25 0.22 -43.65

    300m-250K-USGS-DEM-calculated overland flow plane slopes (SLO1) are half smaller than SLO1 values calculated using 30m-24K-NED.

    Stream Lengths (LEN2) are slightly smaller Minimum Elevation (Min El) values are slightly bigger

  • GeoResources Institute Results Luxapalilla watershed

    A B) USGS-DEM 300 m, 250K

    ) NED 30 m, 24K

  • GeoResources Institute Results Percent differences in topographical indicators for Luxapallila watershed

    PERCENT DIFFERENCES

    Basin Sub-basin name Area Slo1 Wid1 Dep1 Len2 Slo2 Min El. Max El.

    2 Luxapallila Creek -0.52 -65.63 -0.31 -0.21 -2.42 -61.33 6.84 -2.78

    1 East Branch Luxapallila Creek -10.16 -66.20 -6.23 -4.19 248.39 123.93 6.84 54.57

    3 Luxapallila Creek 2.16 -58.57 1.29 0.87 2.99 37.80 3.69 7.59

    6 Yellow Creek 4.91 -50.18 2.92 1.93 -5.27 11.63 -2.47 -0.10

    8 Cut Bank Creek 0.73 -60.27 0.44 0.29 -5.71 26.16 -2.78 1.97

    9 Wilson Creek 0.06 -55.01 0.04 0.02 10.05 24.01 -2.57 4.03

    7 Hells Creek 1.04 -48.65 0.62 0.41 -4.32 50.36 -1.23 11.78

    10 Cut Bank Creek -4.44 -54.26 -2.69 -1.79 -17.37 61.17 3.30 10.73

    11 Yellow Creek -4.33 -53.14 -2.62 -1.75 -13.71 -25.52 -4.42 -15.37

    12 Yellow Creek -2.97 -51.20 -1.79 -1.21 -14.23 -6.72 18.32 8.78

    13 Mud Creek -1.93 -44.25 -1.16 -0.78 -8.78 71.46 -1.70 13.09

    14 6.50 -67.96 3.85 2.56 63.48 36.04 -21.88 2.79

    15 Yellow Creek -3.62 -24.03 -2.19 -1.45 -31.63 111.32 -14.85 -6.38

    17 Yellow Creek 29.22 -37.24 16.63 10.81 -0.11 -61.07 -14.66 -24.13

    21 Luxapallila Creek 6.90 -48.08 4.09 2.71 -15.70 -66.28 -14.85 -22.06

    16 Luxapallila Creek -4.40 -61.89 -2.67 -1.79 -12.26 -79.17 2.79 -13.87

    4 Luxapallila Creek -4.71 -53.21 -2.85 -1.91 -1.24 -15.48 12.11 0.78

    22 Luxapallila Creek 20.95 -44.31 12.09 7.87 2.90 -77.07 -2.17 -10.30

    20 -2.52 -47.47 -1.52 -1.02 -4.58 72.21 -14.75 8.98

    19 Magby Creek 6.10 -55.62 3.62 2.40 -3.08 19.52 -2.17 6.56

  • GeoResources Institute Conclusions Resolution of elevation data affects watershed delineation by providing

    more sub-basins when using coarser datasets. Higher-resolution datasets allow better delineation of flat areas. For flat areas (Jourdan)

    overland flow plane slope values estimated using the USGS-DEM dataset are bigger than slope values estimated using the NED elevation data.

    Length of streams are slightly bigger when using USGS-DEM Minimum and maximum elevations values also present noticeable

    percent differences. For Rougher areas: Luxapallila and Wolf:

    Overland flow slope values resulting of using the NED dataset are also different (50% in average) than those values calculated using the USGS-EPA dataset.

    NED-generated sub-basin slope values are bigger than the USGS-EPA generated slopes (for Jourdan this was reversed).

    This seems to suggest that coarser datasets overestimate sub-basin slopes in flat watersheds and underestimate slopes in roughed terrain.

  • GeoResources Institute Potential for research

    Future delineation studies using other elevation data SRTM: 30-meter IFSAR: 5-meter

    Impact on delineation Sub-basins Stream characterization Longitudinal (stream length and slope) Cross sectional (F-tables)

  • GeoResources Institute Acknowledgements

    Funding for this research was provided the NASA-Stennis Space Center grant No. NCC13-99001.

  • GeoResources Institute

    INFLUENCE OF ELEVATION DATASET ON WATERSHED DELINEATION OF THREE CATCHMENTS IN MISSISSIPPIIntroductionObjectivesStudy areasMethodology Watershed delineationMethodology ComparisonMethodology Comparison tablesResultsResultsResultsResultsResultsConclusionsPotential for researchAcknowledgements