I want to study mapping of groundwater potential zones with the help of RS & GIS. is there any methodology or Standard papers related to this.
Dear SD Shinde you can request and down lode the papers from 210 to present we have done so much of work in Precambrian terrain of south India University of mysore, Prof. H.T.BASAVARAJAPPA
Dear Shinde, Yes, you can use it at shallow groundwater system and you can apply MCDE technique with geo, geom, dem, slope, aspect, lu/lc, drainage, soil, lineaments layers.
The answer will depends of the geological characteristics of your area. I remembered that a research group has success in a tropical area identifying with the help of RS areas with abandoned stream channels. But this example is a very specific case.
Cheers
Dear Sambhaji
Many researchers have mapped groundwater potential by using spring locations and different effective factors such as altitude, slope degree, slope angle, distance from fault, etc.
Recently, we used qanat as an indicator for groundwater potential. You can download and use two of my papers in this field of study. Moreover, Haleh Nampak used well locations as an indicator for groundwater potential.
If you have any question in this field, I will be glad to help you.
Best Regards.
A brief description - evaluation of groundwater potentials using GIS and RS
Preparation of thematic layers in GIS platform: Geology/lithology, lineament, geomorphology, rainfall pattern, drainage density, water level pattern and fluctuation, DEM and slope, land use/land cover etc.
The thematic layer is based on the data (primary and secondary) available for the study area. From satellite imagery (geocoded photographic as well as digitally enhanced products of IRS Satellite) many layers like lineament, drainage, geomorphology, slope, land use etc. can be prepared.
Assigning weights/modeling: Multi-Criteria Evaluation (MCE) - To determine the interclass/intermap dependency, a probability-weighted approach using Bayesian statistics may be adopted for a linear combination of probability weights (W) of each thematic layer with the individual capability value (CV).
The different kinds of derived thematic layers have to be ranked in a scale of 0 to 5, based on relative contribution of each layer. The rank of each layer has to be converted to a probability weight (Wi = Ri ∕ ∑Ri). The different features/categories of each thematic layer have also to be assigned scores in a numeric scale of 0 to 5. The assigned scores of different features/categories for each layer have to be converted to capability values (CVi = ri ∕ ∑ri). These capability values (CVi) have to be multiplied with the respective probability weight of each thematic layer. An aggregation of these product values leads to the resultant weight map i.e. groundwater potential zones.
Ri = rank of a layer, ∑Ri = total rank value of layers (considered for modeling), ri = Rank of a particular feature/category in a layer, ∑ ri = total rank value of the features/categories of a theme/layer.
Mathematically, this can be defined as,
Gw = f (Dr, Geom, Lin, Litho, Sl, Lu),
Where, Gw = Groundwater, Dr = Drainage, Geom = Geomorphology, Lin = Lineament, Lith = Lithology, Sl = Slope, Lu = Landuse
Groundwater potential map (GWP) can be expressed as
GWP = Σ Wi * CVi
where, GWP = Groundwater Potential, Wi = Map weight, CVi = Individual capability value.
The resultant final weight map will indicate the potentiality of groundwater occurrence in the study area. This map then may be classified into different categories of potentiality namely, Excellent, Very Good, Good, Poor etc.
Please give your feedback.
The statistics will provide you exact mathematics application you can also be used in your studies
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