Use of ArcGIS and Surfer for calculation of water volume in...

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Use of ArcGIS and Surfer for calculation of water volume in Kolíňany water reservoir JAKUB FUSKA - DANIEL KUBINSKÝ - RÓBERT LENÁRT Slovak University of Agriculture in Nitra Matej Bel University, Banska Bystrica

Transcript of Use of ArcGIS and Surfer for calculation of water volume in...

  • Use of ArcGIS and Surfer for calculation of water volume in Kolíňany water reservoir

    JAKUB FUSKA - DANIEL KUBINSKÝ - RÓBERT LENÁRT

    Slovak University of Agriculture in Nitra

    Matej Bel University, Banska Bystrica

  • Article outline

    Main goal

    – use of ArcGIS and Surfer for water reservoir volume calculation

    Brief description of procedure:

    - Data collection (GPS RTK survey and echosounding)

    - Data processing (point-class data of surveying)

    - Creation of the models (ArcMAP and Surfer)

    - Use of models for water volume calculation

  • Introduction

    Smal water reservoir (SWR) - STN 73 6824:

    • Max. depth: 9m

    • Max. volume 2×106 m3

    • Max. Q100: 60 m3. s-1

    In Slovakia approx. 200 SWR’s – mostly multifunctional (irrigation, flood protection, fish production)

    Siltation – result of erosion – threat to all water reservoirs

  • Introduction

    • Siltation - threat to all

    water reservoirs

    • Bottom morphology changes

    • Storage capacity reduction

    • Overall impact to environment

    Erosion

    Siltation

    Transport

  • Studied reservoir

    Water reservoir in Kolíňany (Nitra district)

    - fish production, irrigation water, recipient of water treatment facility

    Reservoir space

    Water level

    Volume

    [m3]

    Area

    [ha]

    Storage

    till 180,00 106 800 11,12

    Retention

    180,00-180,50 60 300 13,00

    Total

    till 180,50 167 100 13,00

  • Equippment

    GNSS receiver: Leica 1200+

    Sonar: GPSmap 721s

    Vessel: Raft boat proppeled wit electric engine

  • Data collection

    Automatic non-contact bottom surveying - during the sail

    GNSS RTK surveying (vessel position) - point each 2 m

    Echosounding (depth measurement) – NMEA connection

    Direct GNSS surveying - water level, dam, safety spillway

  • Data processing

    Import of collected data to Leica GeoOffice

    Calculation of the x, y, z S-JTSK coordinates in MS Excel

  • Data processing

    Reduction of input points – distribution in 10 x 10 m grid

  • Data processing

    Adding of shoreline bottom points and islands terrain points

    Shoreline bottom elevation:

    Water level – 0,35 m

    Island terrain elevation:

    Water level + 0,75 m

  • DEM creation - ArcMAP

    Created models:

    • Topo to Raster (2×2 m cell size, interpolation executed with “Enforce with Sink” option)

    • Spline with Tension (2×2 m cell size, tension weight 0.1; approximation calculated from 12 points)

    • TIN model (conforming the Delaunay triangulation rules)

  • DEM creation - ArcMAP

  • DEM creation - Surfer

    Created models:

    • Inverse Distance (cell size 2 m x 2 m, default settings of interpolation)

    • Kriging with custom settings (cell size 2 m x 2 m, Search Ellipse Radius 1 a 2 = 40; Minimum number of data in all sectors = 5, Number of Search Sectors = 5)

    • Kriging with default settings (cell size 2 m x 2 m, Search Ellipse Radius 1 a 2 = 150; Minimum number of data in all sectors = 4)

    • Minimum curvature (cell size 2 m x 2 m, weight of tension 0,1)

  • DEM creation - Surfer

    Created models:

    • Natural Neighbor (raster model, cell size 2 m x 2 m, default settings of interpolation)

    • Nearest Neighbor (raster model, cell size 2 m x 2 m, default settings of interpolation)

    • Triangulation with Linear Interpolation (raster model, cell size 2 m x 2 m, default settings of interpolation)

  • DEM creation - Surfer

    Inverse Distance Kriging - custom settings

    Kriging - default settings Minimum curvature

  • DEM creation - Surfer

    Natural Neighbor Nearest Neighbor

    Triangulation with Linear Interpolation

  • Water volume calculations in ArcGIS

    ArcGIS

    • Raster models

    Creation of water depth map

    Calculation of water volume:

    • Tin model:

    „Surface volume“ tool

    Surfer

    • Water reservoir volume - calculated with „Volume“ tool

  • Results

    Calculated value

    DEM of water reservoir in ArcMAP

    TIN model Spline

    with tension

    Topo

    to Raster Average

    Volume [m3] 106 545 110 014 110 014 108 858 % of average volume 97.9 101.1 101.1 100.0

  • Interpolation method in Surfer

    Total Volume [m3] by: Trapezoidal

    Rule Simpson's

    Rule Simpson's 3/8 Rule

    Kriging custom settings

    103 045 103 048 103 048

    Kriging default settings 103 079 103 082 103 083 Inverse Distance 98 049 98 053 98 054 Minimum Curvature 104 289 104 292 104 292 Natural Neighbor 102 493 102 493 102 496 Nearest Neighbor 102 494 102 494 102 493 Triangulation with linear interpolation

    102 642 102 645 102 645

    Results

  • Water volume:

    • ArcMAP: 108 858 m3

    • Surfer: 102 263 m3

    • Operation documentation: 106 800 m3

    Data of elevations probably in Adriatic height system

    Conclusion

    Surveyed

    object

    Average surveyed

    elevation [m a. s. l.]

    Elevation from operation

    documentation [m a. s. l.]

    Operating

    water level 179.564 180.00

    Dam crest 180.584 181.00

    Safety spillway 179.513 180.00

    Outlet structure 180.154 181.00

  • This work was supported with the following grants :

    • UGA-I-11-005-08 provided by the Faculty of Natural Sciences, University of Matthias Bel in Banská Bystrica, Slovakia

    • VEGA nr. 1/0027/12 „Development and validation of indirect assessment of anthropogenic immission load”,

    • APVV nr. 0274-10 "Quantification of input data influence on correctness of outputs of dispersion simulation models for surface water„

    • VEGA 1/0456/14 “Management of the Soil Moisture Regime as a Tool for Climate Change Adaptation”.

    Acknowledgments

  • Thank You for Your Attention

    Contact: Jakub Fuska

    Department of Landscape Engineering, Slovak University of Agriculture

    [email protected]

    Daniel Kubinský

    Department of Biology and Ecology, Matej Bel University

    [email protected]