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  • ACRS 1990


    Geology Disaster
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    Modelling Landcover and rainfall data for estimating ground water table fluctuations

    Om Prakash Dubey
    Civil Engineering Department University of Roorkee,
    Roorkee - 247 667, India


    Abstract
    The landcover patterns are governed by environmental parameters e.g. soil, topography, climate etc. Rainfall is the major parameter influencing the ground water recharge. A linear model utilizing the land cover and rainfall has been developed to yield the ground water storage fluctuation, which can be utilized to estimate the ground water table fluctuations. The land cover data was obtained from the integrated analysis of the remote sensed data (landsat F.C.C. blow up at 1:250,000 scale, TM F.C.C. blow up at 1:250,000 scale) and field survey. The model was calibrated from 6 years data and then fluctuation was predicted and compared with the observed data.

    Background
    As a result of external and internal forces e.g. Rainfall, pumping etc. the ground water table fluctuates. The ground water table fluctuations are essential information for planning various developmental activities e.g. drinking water and Agriculture etc. Conventional method of collecting fluctuation data is difficult, costly and may not be representative. Remote Sensing techniques an alternate data set containing a wealth of information at one place regarding surface characteristics, subsurface indicators and topography etc. The rainfall recharges ground water (Chon 1964). The rainfall recharges the ground water depending upon the surface and subsurface characteristics. The land cover is influenced by surface and subsurface characteristics and is a good indicator (Dubey 1989). The land cover data can be conveniently evaluated from remote sensing but in the present study rainfall data has been collected from the meteorological department.

    The Model
    Theland cover operator model (Dubey et al. 1984) may be written as

    AIR = GS --------------------(1)

    where G is the land cover operator system matrix, I is the depth of rainfall vector, R is the recharge coefficient vector, and GS is the change in the ground water storage in a particular time. The above equation can be simplified as

    AR = G --------------------(2)

    where G is the change in ground water storage per unit rainfall

    Paramenter Evaluation
    Land cover Data
    The land cover data has been evaluated from the visual analysis of landsat F.C.C. at 1:250,000 scale described below.
    1. From the survey of India topographical map at 1:250,000 scale, a base map is prepared.


    2. Priliminary analysis of F.C.C. at 1:250,000 scale on the basis of image charcteristics and development of the interpreation keys.


    3. Anaysis of T.M. F.C.C at 1:50,000 scale in selected areas in the same manner as in 2 above.


    4. identify the doubtful areas for field experimentation.


    5. Field traverses in the doubtful area and collecting the ancillary data.


    6. Finalization of the land cover map.


    7. Preparation of a land information system consisting of Rainfall and land cover (Cell size 5mm x 5mm)
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