from deep tube wells. The model used in this study is adopted from Agterberg et.al (1988) who developed 
it for mineral explorations. The model demarcates zones of different groundwater potentialities on regional 
scale and hence it may be used to develop groundwater supply schemes for agricultural, industrial and 
settlement projects. 
METHODOLOGY 
Statistical analysis: The main objective is to differentiate the data set(on yield capacities of deep tube 
wells) based on climatic and hydrogeological conditions of the area. In this context, yields of about 1200 
wells have been considered. The non-parametric two sample test showed that the wells located in the dry 
zone(900-1500mm of rain fall) and that of in the intermediate zone(1500-2300mm of rain fall) have 
significant different on yield capacities. Similar statistical analysis revealed that well yields during rainy 
period are higher than that of during dry period in the dry zone area. But such differences could not be 
found in the intermediate zone. Hence wells drilled in both rainy and dry period have been used for detailed 
statistical analysis as the detailed study area occupied within the intermediate zone(Figurel.). Further 
segmentation of data on well yields has been made on the basis of different geohydrological characteristics 
and can be described under four major groups. Measured spatial parameter which will be used for 
modeling is also summarized in each group and the figure2 shows the schematic representation of the 
measured spatial parameter. 
  
d , - distance to lineament 
d, - distance to valley 
d , - distance to tank 
Qd, - distance to drainage divide 
e  -tube well 
@ -tank 
  
  
  
S - rock outcrop 
  
Figure 2: Spatial features and measured distances 
Group 1: Wells located near to a lineament where valley is not well developed(ie. only linear trace may be 
detectable on aerial photo). Distance to lineament is the measured spatial 
parameter. 
Group 2: Wells near to a lineament where a valley(coincide with paddy cultivation) is developed. This is 
detectable by contrast difference due land cover hence digital processing is also applicable using 
land satellite images. Distance to valley is the measured spatial parameter. 
Group 3: Wells located near to the village tank(small to medium scale ancient reservoirs). Distance to tank 
is the measured spatial parameter. 
Group 4: The wells which cannot be classified under the above group 1 and 2 have been considered under 
this group and classified as interflues(where hardly any detectable linear feature exists). Distance 
to the drainage divide is the measured spatial parameter. : 
360 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996