Zoning of Ecological Vulnerability of Kerman Province to Achieve Sustainable Industrial Development Using AHP Technigue

Authors

10.22052/deej.2018.7.25.49

Abstract

Introduction: Vulnerability of people and places is a complex phenomenon has been created as a result of human and environment interaction during the ages. The concept of vulnerability addresses the probability of being destructed or damaged of a society, structure, service or a geographical area due to a specific danger. Nowadays there is frequent demand for settling industrial infrastructures in disadvantaged area, where employment is necessary, considering vulnerability of such areas and limitations of available resources for development purposes, therefore; comprehensive and integrated planning in is essential in order to conservation of resources and defining vulnerability of ecosystem. There are different methods for assessment of ecological vulnerability. Analytical Hierarchy Process (AHP) is one of the common tools for this purpose. AHP is based on the premise that solutions for complex problems could be achieved if the complex structure effectively turned to simple and understandable structures. Since AHP has many desirable properties, it has been widely used in numerous quantitative researches including nature, society, economy and environmental vulnerability studies.
 
Materials and Methods: In this research, following statistics, data, information, maps and software in temporal and spatial scales are used:
DEM map of the study area obtained from Iran Survey Organization, as well as maps of soil depth, rock type, faults, flooding and land cover of the study area obtained from Management and Planning Organization with 1:100000 scale.
Also AHP, Expert Choice and GIS (version 10.3) have used in this study. The purpose of the current research is assessment of ecological vulnerability of Kerman Province toward industrial sustainable development. As the first step, available information layers (slope, elevation, soil depth, rock type, and distance from faults, flooding risk and land cover) are coded according to sensitivity to vulnerability and then all the layers are transformed to raster maps with uniform 100 meter resolution gird using ArcGIS based on their assigned codes. Using hierarchical analysis technique, the layers are weighted and integrated.
 
Results: According to the final map which obtained from integration of seven previous maps, 19, 28.3, 27.9, 12.5 and 2.2 % of the study area are classified in terms of vulnerability respectively as very low, low, moderate, high and very high. This confirms that generally the study area has good or relatively good ecological resistance. The results demonstrated that Jiroft city has the highest vulnerability, while Rudbar-e Jonub, Kahnooj, Shahr-e Babak and Kuhbanan have the lowest vulnerability.
 
Discussion and Conclusion: The results revealed that Kerman Province has mostly good or relatively good ecological resistance. Placement of industries depends on a variety of parameters such as terrestrial, climatic and social-economic issues. According to every single of these parameters, it is possible to determine environmental vulnerability in different regions. In this study, physical parameters were solely considered as the main locating frame in Kerman Province, and assessment of environmental vulnerability is carried out on that, using different software, as discussed in the research method. The results of this research can be used easily by managers and planners in both industrial and environmental sectors of the province, and this will enable them to address minimum environmental indicators for development purposes. It is hoped that this will improve environmental indicators and also will bring sustainable industrial development in the region.

Keywords

References

1. Aspinall, R., Pearson, D., 2000. Integrated geographical assessment of environmental condition in water catchments: linking landscape ecology, environmental modelling and GIS, Journal of Environmental Management 59 (4), 299–319. 2. Balist, J., Karimi, S., Jafari, H.R., 2015. Environmental Impact Assessment of Ahwaz Shiraz Railway, Science and Environmental Engineering, 3 (1). 3. Beroya-Eitner, M.A., 2016. Ecological vulnerability indicators, Ecological Indicators60, 329–334. 4. Bhushan, N., Rai, K., 2004. Strategic Desicion Making: Applying the Analytic Hierarchy Process, Springer-Verlag, New York, pp. 172. 5. Bradley, M.P., Smith. R., 2004. Using science to assess environmental vulnerabilities, Environmental Monitoring and Assessement 94, 1-7. 6. Dubovyk, O., Menz, G., Khamzina, A., 2014. Land suitability assessment for afforestation with elaeagnus angustifolia l. in degraded agricultural areas of the lower Amudarya river basin. Land Degradation & Development. 7. Fahmy, H.M.A., 2001. Reliability evaluation in distributed computing environments using the AHP. Computer Networks 36, 579–615. 8. He, L., Shen, J., Zhang, Y., 2018. Ecological vulnerability assessment for ecological conservation and environmental management. Journal of Environmental Management 206, 1115-1125 9. Kazeminia, A., Meymandi Parisi, S., 2016. Assessment of Vulnerability of buildings in Kerman city against earthquake using GIS. Journal of Spatial Planning and Information Engineering, 8 (3). 10. kerman Statistical Yearbook. 2016. Center of Statistics of Iran 11. Li, A., Wang, A., Liang, S., Zhou, W., 2006. Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS—a case study in the upper reaches of Minjiang River, China, Ecological Modelling 192 (1), 175–187. 12. Li, L., Shi, Z.H., Yin, W., Zhu, D., Ng, S.L., Cai, C.F., Lei, A.L., 2009. A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the Danjiangkou reservoir area, China, Ecological Modelling 220 (23), 3439–3447. 13. Li, R., 2007. Dynamic assessment on regional eco-environmental quality using AHP-statistics model: a case study of Chaohu Lake Basin. Chin. Journal of Geographical Sciences17 (4),341–348. 14. Li, Z.W., Zeng, G.M., Zhang, H., Yang, B., Jiao, S., 2007. The integrated eco-environment assessment of the red soil hilly region based on GIS—a case studyin Changsha City, China, Ecological Modelling 202 (3–4), 540–546. 15. Liua, Di., Caoa, Chunxiang., Dubovykc, O., Tiana, R., Chena, Wei., Zhuang, Q., Zhaoa, Y., Menzc, Gunter., 2017. Using fuzzy analytic hierarchy process for spatio-temporal analysis of eco-environmental vulnerability change during 1990–2010 in Sanjiangyuan region, China, Ecological Indicators 73, 612–625. 16. Luers, A.L., 2005. The surface of vulnerability: An analytical framework for examining environmental change, Global Environmental Change 15, 214–223. 17. Makhdoum, M., 2007. Fundamental of Land Use Planning. University of Tehran Press. 18. Nguyen, A.K., Liou, Y.A., Li, M.H., Tran, T.A., 2016. Zoning eco-environmental vulnerability for environmental management and protection. Ecological Indicators 69, 100–117. 19. Park, Y.S., Chon, T.S., Kwak, I.S., Lek, S., 2004. Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks. Science of the Total Environment 327 (1), 105–122. 20. Pohekar, S.D., Ramachandran, M., 2004. Application of Multi-criteria Decision Making to Sustainable Energy Planning- A Review. Renewable and Sustainable Energy Reviews 8 (4), 365- 381. 21. Qiu, B., Li, H., Zhou, M., Zhang, L., 2015. Vulnerability of ecosystem services provisioning to urbanization: a case of China, Ecological Indicators 57, 505–513. 22. Saaty, T.L., 1980. The Analytic Hierarchy Process. McGraw-Hill, New York. 23. Sener, S., Sener, E., Nas, B., Karagüzel, R., 2010. Combining AHP with GIS for landsillsite selection: a case study in the Lake Beysehir catchment area (Konya, Turkey), Waste Management 30, 2037–2046 24. Sepehr, H., Makhdoom, M., Faryadi, Sh, Ramezani Mehrin, M., 2015. Assessing the quality of land in protected areas using the degradation model (Casestudy: Turan Protected Area) 6 (11), 119-130. 25. Swetnam, R.D., Fisher, B., Mbilinyi, B.P., Munishi, P.K.T., Willcock, S., Ricketts, T., Mwakalilag, S., Balmforda, A., Burgessa, N.D., Marshallh, A.R., Lewis, S.L., 2011. Mapping socio-economic scenarios of land cover change: a GIS method toenable ecosystem service modelling, Journal of Environmental Management 92 (3), 563–574 26. Tobin, G.A., Montz, B.E., 1997. Natural Hazards, Explanation and Integration, New York, London, The Guildford Press. 27- Tran, l.T., Knight, C.G., O'Neill, R.V., Smith, E.R.; Riitters, K. H.,Wickham, J. D., 2002. Fuzzy Decision Analysis for Integrated Environmental Vulnerability Assessment of the Mid-Atlantic Region, Environmental Management 29 (6), 845- 859. 28. Wang, J.T., Yun, X.J., Su, H.T., Qing, Y., Dong, Y.P., Zhang, D.M., 2008. Technologies to monitor the rodent in the degraded grassland in Three-River Headwaters region, Pratacultural science 25, 110-112. 29. Xue, L., Wang, J., Zhang, L., Wei, G., Zhu, B., 2019. Spatiotemporal analysis of ecological vulnerability and management in the Tarim River Basin, China, science of the Total Environment 649, 876-888. 30. Yarali, N., Soltani, A., Jafari, A., Mofi Golami, D., Mahmodi, M., 2010. Assessment of environmental impacts of development on Oshtorankh protected area using degradation model, Environmental research 1 (1), 13-22. 31. Yazdian, F., Nasiri, L. F., Kiapasha, Kh.2012. Investigation of the Environmental Impacts of Tourism on the Salt Lake Abrood Forest Using the Destruction Model, Iran Forest Magazine 2, 113-121. 32. Ying, X., Zeng, G.M., Chen, G.Q., Tang, L., Wang, K.L., Huang, D.Y., 2007. CombiningAHP with GIS in synthetic evaluation of eco-environment quality-a case studyof Hunan Province, China, Ecological Modelling 209 (2), 97–109
Desert Ecosystem Engineering
Volume 8, Issue 25
January 2020
Pages 97-111

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