Abstract
The present study is an attempt to assess the vulnerability of watersheds in face of climate change and change in urbanization with the help of multi-criteria decision-making and artificial neural networks. The study was carried out keeping in view the scarcity in amount of water and degradation in quality of water observed in different watersheds in various parts of the World due to the onset of climatic vulnerabilities and rapid change in urbanization. An indicator was also proposed and a model was developed linked to the indicator. The said indicator is objective, relative and cognitive in nature so that it can depict accurate representation of the status of any watershed. The study results provided a platform to uniformly rate different river basins in terms of climate change and urbanization which in turn will help to mitigate the disasters by concentrating funds and energy to the locations where it is really required.
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References
Chaves, H. M. L., & Alipaz, S. (2007). An integrated indicator based on basin hydrology, environment, life, and policy: The watershed sustainability index. Water Resources Management, 21(5), 883–895.
Greenaway, T. (2014). Eight foods you’re about to lose due to climate change. Retrieved from http://www.theguardian.com/vital-signs/2014/oct/29/diet-climate-maple-syrup-coffee-global-warming.
Heede, B. H. (1975). Watershed indicators of landform development.
King, R. S., et al. (2005). Spatial considerations for linking watershed land cover to ecological indicators in streams. Ecological Applications, 15(1), 137–153.
NASA. (2014). Global Climate Change: Vital Signs of the Planet. Retrieved from http://climate.nasa.gov/evidence/.
Pasco, M. M., & Picut, N. G. (2011). Vulnerability assessment of Cugman River Watershed. IUFRO World Series, 29, 50.
Schultz, M. T. (2001). A critique of EPA’s index of watershed indicators. Journal of Environmental Management, 62(4), 429–442.
Prevention Web. (2007). Preparing for flood disaster: Mapping and assessing hazard in the Ratu watershed, Nepal. http://www.preventionweb.net/english/professional/publications/v.php?id=9295.
Conservation Ontario Report. (2009, August). Natural Hazards. Retrieved from http://www.conservationhalton.ca/natural-hazards.
Chang, C.-L., & Hsu, C.-H. (2010). Applying a modified VIKOR method to classify land subdivisions according to watershed vulnerability. Water Resources Management, 25, 301–309.
He, C., Malcolm, S. B., Dahlberg, K. A., & Bojie, F. (2000). A conceptual framework for integrating hydrological and biological indicators into watershed management. Landscape and Urban Planning, 49(1–2), 25–34.
Hoque, Y. M., Tripathi, S., Hantush, M. M., & Govindaraju, R. S. (2012). Watershed reliability, resilience and vulnerability analysis under uncertainty using water quality data. Journal of Environmental Management, 109, 101–112. Retrieved October 30, 2012.
Junior, R. F. V., Varandas, S. G. P., Fernandes, L. F. S., & Pacheco, F. A. L. (2015). Multi Criteria Analysis for the monitoring of aquifer vulnerability: A scientific tool in environmental policy. Environmental Science & Policy, 48, 250–264. Retrieved April, 2015.
Kaushik, P., Joshi, P. K., & Yang, X. (2005). Multiple hazard mapping (MHM) for vulnerability assessment in Pali Gad watershed using geospatial tools. Journal of the Indian Society of Remote Sensing, 33, 441–445.
Ling, L. F. (2007). Comparison of Water Quality Index (WQI) between DOE Method and Harkin’s Index. Master Thesis, Universiti Teknologi Malaysia.
Masoudi, M., & Amiri, E. (2015). A new model for Hazard evaluation of vegetation degradation using Dpsir framework, a case study: Sadra Region, Iran. Polish Journal of Ecology, 63(1), 1–9.
Mayer, A., Winkler, R., & Fry, L. (2014). Classification of watersheds into integrated social and biophysical indicators with clustering analysis. Ecological Indicators, 45, 340–349.
Narmada, K., Gobinath, K., & Bhaskaran, G. (2015). An assessment of resource potentials for sustainable development of micro-watershed in Tirunelveli District using geoinformatics—a case of Nambiyar micro-watershed in Tirunelveli District, Tamil Nadu. Aquatic Procedia, 4(2015), 1299–1306.
Niemi, G. J., Johnston, C. A., & Wolter, P. T. (2015). Development of Environmental Indicators for the US Great Lakes Basin Using Remote Sensing Technology.
Policy Research Initiative, Sustainable development briefing note. Canadian water sustainability index. (2007). http://publications.gc.ca/collections/Collection/PH2-1-14-2007E.pdf. Retrieved December 30, 2013.
Sanchez, G. M., Nejadhashemi, A. P., Zhang, Z., Marquart-Pyatt, S., Habron, G., & Shortridge, A. (2015). Linking watershed-scale stream health and socioeconomic indicators with spatial clustering and structural equation modelling. Environmental Modelling & Software, 70, 113–127. Retrieved August, 2015.
Sullivan, C. (2002). Calculating a water poverty index. World Development, 30(7), 1195–1210.
Tilt, B. (2012). Damming China’s Angry River: Vulnerability in a Culturally and Biologically Diverse Watershed. In Water, Cultural Diversity, and Global Environmental Change.
Tran, L. T., O’Neill, R. V., & Smith, E. R. (2012). A watershed-based method for environmental vulnerability assessment with a case study of the Mid-Atlantic region. Environmental Impact Assessment Review, 34, 58–64. Retrieved April, 2012.
Vernier, F., Miralles, A., Pinet, F., Carluer, N., Gouy, V., Molla, G., & Petit, K. (2013). EIS Pesticides: An environmental information system to characterize agricultural activities and calculate agro-environmental indicators at embedded watershed scales. Agricultural Systems, 122, 11–21.
Yusoff, S. M. A. M., & Zardari, N. H. (2015). Trend analysis of publications on watershed sustainability indicators in popular academic databases. In ISFRAM 2014, pp 19–29.
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Roy, U., Majumder, M. (2016). Introduction. In: Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process. SpringerBriefs in Water Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-287-344-6_1
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