Vol 5 No 6 (2019): IJRDO - Journal of Agriculture and Research | ISSN: 2455-7668
Articles

Multi-Criteria Decision Analysis in Land Suitability and Land Use Planning, Kadawedduwa Watershed, Nilwala River Basin, Sri Lanka

M.J. Stimers
Department of Science and Applied Science, Cloud County Community College, Junction City, Kansas, 66441
Published July 4, 2019
Keywords
  • Agrucultural land use,
  • land use,
  • land use change,
  • land use suitability,
  • GIS,
  • watershed management,
  • multi-criteria decision analysis
  • ...More
    Less
How to Cite
Keerthirathna, H., Stimers, M., & Lenagala, S. (2019). Multi-Criteria Decision Analysis in Land Suitability and Land Use Planning, Kadawedduwa Watershed, Nilwala River Basin, Sri Lanka. IJRDO - Journal of Agriculture and Research (ISSN: 2455-7668), 5(6), 31-57. Retrieved from https://ijrdo.org/index.php/ar/article/view/2788

Abstract

The aim of this study is to determine physical land suitability for agriculture, residential and industrial land uses using by Multi-Criteria Decision Analysis (MCDA) and GIS approaches and to compare present land use versus potential land use. Presently, many development projects and decision makers face problems in land use planning and management, including allocation of limited unutilized land among various stakeholders, and lack of sufficient environmental policies for sustainable use. Degradation of these areas has caused increasing concern among managers, and revealed the importance of land suitability analysis. A broad range of criteria is required for performing effective land suitability selection, and MCDA is an appropriate method to handle such heterogeneous criteria. This research examines a relatively new method of multi-criteria evaluation by using a spatial analytical hierarchy method for determining the most suitable land uses for the Nilwala River Basin, Kadawedduwa Watershed, in southern Sri Lanka. 

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References

  1. Aravinna, A. G. P., De Alwis, H., & Wijesekera, R. D. (2004b). Monitoring of Residues of Commonly used Pesticides in Well-water, Around Vegetable Cultivation in the Colombo District. In Proceedings of 61st Annual Session, Sri Lanka Association for the Advance of Science (SLAAS). (Vol. 601E2, p. 66). Colombo, Sri Lanka.
  2. Aravinna, A. G. P., Liyanage, J. A., & Mubarak, A. M. (2004a). Contamination of Groundwater in the Kalpitiya Peninsula by Widely Used Pesticides. (Vol. 197B, p. 112). Presented at the Proceedings of 60th Annual Session, Sri Lanka Association for the Advance of Science (SLAAS)., Colombo, Sri Lanka.
  3. Eniyew, S. (2018). Mapping urban expansion and its effect on the surrounding land uses using GIS and remote sensing. A case study in Debre Tabor Town, Ethiopia. Journal of Degraded and Mining Lands Management, 6(1), 1427–1439. https://doi.org/10.15243/jdmlm.2018.061.1427
  4. Evans, J. D., Kirkpatricks, J. B., & Bridle, K. L. (2018). A Reciprocal Triangulation Process For Identifying And Mapping Potential Land Use Conflict. Environmental Management, 62(4), 777–792. https://doi.org/10.1007/s00267-018-1076-8
  5. FAO. (1993). Guidelines for land use planning. Retrieved from http://www.fao.org/3/T0715E/t0715e00.htm
  6. FAO. (2016). 6 State of the World’s Forests: Forests and Agriculture: Land-Use Challenges and Opportunities. Retrieved from http://search.proquest.com.offcampus. lib.washington.edu/docview/1811875093?rfr_id=info%3Axri%2Fsid%3Aprimo
  7. Fernando, W. P., Stimers, M. J., & Lenagala, S. K. (2019). Archaeological Site Impacts in the Hambantota District, Sri Lanka: Markov Chain/GIS/RS-based Analysis of Land Use and Change Detection, 1972-2014. International Journal of Applied Science, 5(2), 88–110.
  8. Gyamfi, C., Ndambuki, J. M., & Salim, R. W. (2016). Hydrological responses to land use/cover changes in the Olifants Basin, South Africa. Water, 8(12), 588.
  9. Hofstee, P. (1997). Applications Guide. Department of Land Resource and Urban Sciences, Colombo University, Sri Lanka.
  10. Jafari, S., & Zaredar, N. (2010). Land Suitability Analysis using Multi Attribute Decision Making Approach. International Journal of Environmental Science and Development, 1(5), 441–445. https://doi.org/10.7763/IJESD.2010.V1.85
  11. Khadka, A. (n.d.). Predicting the effects of different land-use scenarios on water availability using a hydrological model. Tropical Resources Bulletin, 32–33, 72–77.
  12. Lambin, E. F., & Meyfroidt, P. (2011). Global land use change, economic globalization, and the looming land scarcity. Proceedings of the National Academy of Science, 108, 3465–3472. https://doi.org/10.1073/pnas.1100480108
  13. Perera, A. L. S. (1996). Some Land Planning and Land Development Issues in Sri Lanka. Department of Town and Country Planning. University of Moratuwa, Sri Lanka.
  14. Sen, G., E. Gungor, and H. Sevik. (2018). Defining the effects of urban expansion on land use/cover change: a case study in Kastamonu, Turkey. Environmental Monitoring and Assessment, 190(8), 454. https://doi.org/10.1007/s10661-018-6831-z
  15. Silva, C. S. D., Weatherhead, E. K., Knox, J. W., & Rodriquez-Diaz, J. A. (2007). Predicting the impacts of climate change – a case study of paddy irrigation water requirements in Sri Lanka. Agriculture Water Management, 93, 9–29.
  16. United States Department of the Interior, Bureau of Land Management. (2005). Land use planning handbook. Retrieved from https://www.ntc.blm.gov/krc/uploads/360/4_BLM%20Planning%20Handbook%20H-1601-1.pdf
  17. Wang, G. H., Yang, L., Wang, Z. X., & Xue, B. (2014). Using the SWAT model to assess impacts of land use changes on runoff generation in headwaters. Hydrological Processes, 28(3), 1032–1042.
  18. Watson, R. T., Noble, I. R., Bolin, R., Ravindranath, N. H., Verardo, D. J., & Dokken, D. J. (2000). Land Use, Land-Use Change and Forestry. Intergovernmental Panel on Climate Change, 375.