6.0 Conclusion
Based on this study, several conclusions can be made and they are:

1. The indicators of groundwater occurrences are related to the hydrological cycle and these are rainfall distribution, land use, soil types, lithology, geological structures, elevation, slope and drainage features of the area.
2. Satellite data has been proven to be very informative and useful for surface study, especially in detecting a surface features and characteristics such as lineaments and land use.
3. In order to predict the groundwater potential zones, different thematic maps have been prepared. These include annual rainfall distribution, land use, lithology, lineament density, topography elevation, slope steepness, drainage density and soil type.
4. In subsurface study, remote sensing could be used more effectively if it is supported by the suitable GIS approach or techniques and good background knowledge of the related application.
5. Integrated assessment of thematic maps using a model developed based on GIS techniques is the most suitable method for groundwater potential prediction zoning.
6. The methods and results of this study were effective only for groundwater zone prediction in hard rock terrain, but was less effective in the alluvium environment.

7.0 Acknowledgement
The authors wish to thank Mr. Nik Nasruddin Mahmood (Director of MACRES), staff of MACRES and UKM for their comments and support in this project.

8.0 References

• Aller, L., Bennett, T., Lehr, J.H. & Petty, R.J. 1985. DRASTIC: A Standard System for Evaluating Ground Water Pollution Potential Using Hydrogeologic Settings. EPA/600/2-85/018, R.S. Kerr Environmental Research Laboratory, U.S. Environmental Protection Agency, Ada, Oklahoma.
• Bonham-Carter, Graeme. 1994. Geographic Information Systems For Geoscientist: Modelling with GIS. Canada: Pergamon.
• ESRI. 1996. ArcView GIS, The Geographic Information System for everyone: USA: Environmental Systems Research Institute.
• Gupta, Ravi P. 1991. Remote Sensing Geology. New York: Springer-Verlag Berlin Heidelburg.
• Krishnamurthy, J., Venkatesa Kumar, N., Jayaraman, V. & Manivel, M. 1996. An approach to demarcate ground water potential zones through remote sensing and a geographical information system. International Journal of Remote Sensing, 7, 1867-1884.
• Krishnamurthy, J., Arul Mani, M., Jayaraman, V. & Manivel, M. 1997. Selection of Sites for Artificial Recharge Towards Groundwater Development of Water Resource in India. Proceeding of the 18th Asian Conference on Remote Sensing, Kuala Lumpur. 20 - 24 Oktober.
• Todd, David K. 1980. Groundwater Hydrology. 2nd Edition. New York: John Wiley & Son.
• Van Zuidam, R.A. 1979. Terrain Analysis and Classification Using Aerial Photographs. ITC Textbook of Photo Interpretation Vol. VII.

Table 10: Summary of the results.


Figure 2: Methodology flowchart for groundwater potential zone mapping.



Figure 3: Groundwater potential map of the Langat Basin

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