A Comprehensive Review in Applied GIS-Based Spatial Decision Support System (SDSS) in Water Quality Modeling in the Malacca River

Authors

  • Ang Kean Hua  Faculty of Environmental Studies, Universiti Putra Malaysia, UPM Serdang, Selangor Darul Ehsan, Malaysia

Keywords:

SDSS, GIS, RS, Land Used, Water Quality.

Abstract

A spatial decision support system is a solution for spatial issues and problems applying a computer system and providing results for decision making. This comprehensive review study has been carried out to determine GIS and RS in SDSS towards water quality modeling in Malacca River. Rapid development in land use for human activities include agricultural and livestock activities, industrial activities, residential activities, commercial activities, municipal activities, open space activities, and so on, leads to environmental issues, especially water quality in the river, which affecting the physical parameters, chemical parameters, biological parameters, and heavy metal parameters. In analysis, water quality data, land use data, map-based data, and satellite data will be grouped together to provide new information. As a result, modeling will be provided, such as water quality data overlap with RS data, water quality data overlap with land use data, map-based data overlap with water quality data and land use data, and map-based together with satellite data overlap with water quality data and land use data. In conclusion, applied GIS and RS in the SDSS model will solve the issues and problems of concentrated human activities in a particular area, as well as issues of uncontrolled land use, contamination of rivers, negative impact on human life quality and ecosystems, and destruction of the natural environment.

References

  1. Alter, S. (1980). Decision Support System: Current Practice and Continuing Challenges. Reading, USA: Addison-Wesley.
  2. Armstrong, A.P., Densham, P.J. & Rushton, G. (1986). Architecture for a microcomputer based spatial decision support system. In Second International Symposium on Spatial Data Handling. 120, p.131.
  3. Bernhardsen, T. (1999). Geographic Information Systems: An Introduction. (2nd ed.): Wiley.
  4. Bonczek, R.H., Holsapple, C.W. & Whinston, A.B. (1981). Foundations of decision support systems. Orlando: Academic Press.
  5. Chang, K.S. (2008). Introduction to Geographic Information Systems. Forth edition. McGraw Hill International Edition.
  6. Clarke, K.C. (1997). Getting Started with Geographic Information Systems. Upper Saddle River, NJ: Prentice Hall.
  7. Crossland, M.D., Wynne, B.E. & Perkins, W.C. (1995). Spatial Decision Support Systems: An overview of technology and a test of efficacy. Decision Support Systems. 14(3), 219-235.
  8. Densham, P.J. (1991). Spatial Decision Support Systems. In D.J. Maguire, M.F. Goodchild, & D.W. Rhind (Eds.), Geographical Information Systems. 1, 403-412: Longman.
  9. Eom, S.B., Lee, S.M., Kim, E.B., & Somarajan, C. (1998). A survey of decision support applicatiopns (1988-1994). Journal of the Operational Research Society. 49(2), 109-120.
  10. ESRI Official Portal (2015). The Power of Mapping. Retrieved from http://www.esri.com/what-is-gis
  11. Goodchild, M. and Densham, P. (1993). Initiative 6: Spatial Decision Support Systems (1990-1992). Santa Barbara: National Center for Geographical Information and Analysis.
  12. Gorry, G.A. and Morton, M.S.S. (1971). A framework for management information systems. 13, Massachusetts Institute of Technology.
  13. Grace, B.F. (1977). Training Users of a prototype DSS. Data Base. 8(3), 30-36.
  14. Hua, A.K. & Kusin, F.M. (2015). Applied GIS in Assessment Water Quality Modeling in the Malacca River. Case Study: Introduction to Research Study. International Journal of Scientific Research in Science and Technology. 1(3), 70-74.
  15. Keen, P. (1986). Decision Support Systems: The Next Decade. In E. McLean & H.G. Sol (Eds.), Decision Support Systems: a decade in perspective: North-Holland.
  16. Keenan, P. (1996). Using a GIS as a DSS Generator. In J. Darzentas, J.S. Darzentas, & T. Spyrou (Eds.), Perspectives on DSS (pp. 33-40): University of the Aegean, Greece.
  17. Keenan, P.B. (2001). Spatial decision support systems. Decision Making Support Systems: Achievements and Challenges for the New Decade, 28-39.
  18. Keenan, P.B. (2002). Geographic Information Systems. In H. Bidgoli (Ed.), Encyclopedia of Information Systems. San Diego, CA: Academic Press.
  19. Little, J.D.C. (1971). Models and managers: The concept of a decision calculus. Management Science. 16(8), 466-485
  20. MacKintosh, R., Keen, P.G., & Heikkonen, M. (2001). The Freedom Economy: Gaining the mCommerce Edge in the Era of the Wireless Internet: McGraw-Hill.
  21. Maniezzo, V., Mends, I. & Paruccini, M. (1998). Decision support for siting problems. Decision Support Systems. 23(2), 273-284.
  22. Mennecke, B.E. (1997). Understanding the Role of Geographic Information Technologies in Business: Application and Research Directions. Journal of Geographic Information and Decision Analysis. 1(1), 44-68.
  23. Muller, J.C. (1993). Latest development in GIS/LIS. International Journal of Geographical Information Systems. 7(4), 293-303.
  24. Naggy, G. and Wagle, S. (1979). Geographical data processing. Computing Surveys. 11(2), 139-181.
  25. Sprague, R. (1980). A Framework for the development of Decision Support Systems. MIS Quarterly. 4(1), 1-26.
  26. Wilson, R.D. (1994). GIS & decision support systems. Journal of Systems Management. 45(11), 36-40.
  27. Worboys, M. and Duckham, M. (2003). GIS: A computing perspective. 2nd Ed. Taylor and Francis, London.

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Published

2015-08-25

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Section

Research Articles

How to Cite

[1]
Ang Kean Hua, " A Comprehensive Review in Applied GIS-Based Spatial Decision Support System (SDSS) in Water Quality Modeling in the Malacca River, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 4, pp.357-361, July-August-2015.