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Poster Sessions
  • Session 1
  • Session 2
  • Session 3



  • ACRS 2000


    Poster Session 3
    Groundwater Prediction Potential Zone in Langat Basin using the Integration of Remote Sensing and GIS

    4.4 Spatial Data Analysis.
    This stage will process all the input layer from stage 2 and 3 in order to extract a spatial features which are relevant to the groundwater zone. This phase includes various analysis such as table analysis and classification, polygon classification and weight calculation. Polygons in each of the thematic layers were categorised depending on the recharge characteristics and suitable weightages were assigned (Table 1-8). The values of the weightage are based on Krishnamurthy et al. (1996 & 1997).

    4.5 Data Integration
    The final stage involves combining all thematic layers using the method that is modified from DRASTIC model, which is used to assess ground water pollution vulnerability by Environmental Protection Agency of the United State of America (Aller, 1985). The formula of the groundwater potential model (GP) as shown below:

    GP = Rf + Lt + Ld + Lu + Te + Ss + Dd + St
    where:
    Rf:annual rainfall, Lt:lithology, Ld:lineament density, Lu:land use,
    Te:topography elevation, Ss:slope steepness, Dd:drainage density and St:soil type.

    The output is then reclassed into five groups such as very high, high, moderate, low and very low using the Quantile classification method (ESRI, 1996). The output that is produced is capable of being used for further investigations and assessments, especially at larger scale.

    5.0 Result and Discussion
    The ground water potential map of the Langat Basin area is shown in figure 3. In order to produce the map, a GIS model has been used, to integrate thematic maps such as annual rainfall, lithology, lineament density, land use, topography elevation, slope steepness, drainage density and soil type. Each thematic layer consists of a number of polygons, which correspond to different features. The polygons in each of the thematic layers have been categorized, depending on the suitability/relevance to the ground water potential, and suitable weights were assigned. Finally, all the thematic layers were integrated using the ground water potential model to derive the final derived layers. The score values of the area in the final map are shown Table 9.

    Table 1 : Landuse

    Landuse Weight
    Forest 20
    Agriculture 40
    Scrub 30
    Wetland 50
    Urban 10
    Cleared Land 10
    Water Body 60

    Table 2: Lineament Density

    Lineament Density (km/km2) Weight
    > 0.0075 60
    0.0055 - 0.0075 50
    0.0035 - 0.0055 40
    0.0015 - 0.0035 30
    < 0.0015 20

    Table 3: Annual Rainfall.

    Annual Rainfall (mm) Weight
    2500 - 2750 70
    2250 - 2500 60
    2000 - 2250 50
    1750 - 2000 40
    1500 - 1750 30

    Table 4 : Lithology.

    Lithology Weight
    Alluvium 70
    Limestone 40
    Phylite-Schist-Quarzit 20
    Quartz vein 5
    Volcanic 30
    Granite 10

    Table 5 : Topography Elevation

    Elevation (m) Elevation Zone Weight
    < 20 Almost Flat Topography 50
    20 - 100 Undulating Rolling Hilly 40
    100 - 500 Hilly Steeply Disserted 35
    500 - 1000 Steeply Dissected Mountainous 25
    > 1000 Mountainous 10

    Table 6 : Slope Steepness

    % Slope Slope Gradient Slope Zone Weight
    0 - 7 0° - 3° Almost Flat Topography 50
    8 - 20 4° - 9° Undulating Rolling Hilly 40
    21 - 55 10° - 24° Hilly Steeply Disserted 30
    56 - 140 25° - 63° Steeply Dissected Mountainous 20
    > 140 > 63° Mountainous 10

    Table 7 : Drainage Density

    Drainage Density
    (km/km2)
    Weight
    > 0.0055 10
    0.0040 - 0.0055 20
    0.0025 - 0.0040 30
    0.0010 - 0.0025 40
    < 0.0010 50

    Table 8 : Soil Type

    Soil Series Soil Type Weight
    Keranji Clay 10
    Melaka-Durian-Muncung Gravel clay-silty
    clay-clay
    20
    Muncung-Seremban Fine sandy clay 20
    Prang Clay 10
    Regam-Jerangau Coarse sandy clay-clay 30
    Selangor-Kangkung Clay 10
    Serdang-Bugor-Muncung Fine sandy clay
    loam-fine
    sandy clay-clay
    30
    Serdang-Kedah Fine sandy clay loam 30
    Urban Land Sandy clay 30
    Steep Land Coarse sandy clay 40
    Peat Land Clay 10
    Tanah Lombong Sand 50
    Telemung-Akob-Lanar
    Tempatan
    Sandy loam-sandy
    clay
    30

    Table 9: Score values of the area polygons in the final map.

    Score/value Class of
    groundwater zone
    Estimate of
    discharge rate
    > 285 Very High > 22 m3/hour/well
    260 - 380 High 18 - 22 m3/hour/well
    245 - 255 Moderate 14 - 18 m3/hour/well
    230 - 240 Low 10 - 14 m3/hour/well
    < 225 Very Low < 10 m3/hour/well

    A summary of the results (Table 10), shows that almost all alluvial plains have high potential of groundwater occurrence. Where as, in steeply mountainous areas underlain by granite with low lineament density, the potential for groundwater is very low. Meanwhile in hard rock areas, the groundwater potential is high in areas with high lineament density and low drainage density.

    Borehole data collected by the Minerals and Geoscience Department were used to compare the final results with the actual field data.

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