Applications of GIS to comparing WPI and CVI in counties/cities in Taiwan

• Main Authors: Ya-Han Yeh, 葉亞涵
• Other Authors: Shin-Cheng Yeh
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/37207362387985027415

碩士 === 國立高雄師範大學 === 環境教育研究所 === 93 === Abstract Water resources is one of the most noticed issues in the current world, also the one with the first priority among the five main topics announced in the 2002 Johannesburg World Summit. A few years ago, the Centre for Ecology and Hydrology (CEH) developed a Water Poverty Index (WPI) that examined the extents of water scarcity and corresponding national welfares in many countries and hence to which close attentions were paid. Following the framework of WPI and adding some factors related to climate changes to it, a framework of Clime Vulnerability Index (CVI) was developed. In this study, a Taiwan’s local WPI framework was revised so that cross-county comparisons can be made. Moreover, a Taiwan’s local CVI was also constructed following similar methodologies. Finally, a system dynamics based software Vensim ® was employed to run simulations according to several possible scenarios from now to the year of 2025. According to the results of ranking among counties/cities in Taiwan, the WPI scores did not differ significantly. In general, counties in the North got better scores/rankings then those in Central and Southern Taiwan. The counties with best ranking were Maoli County, Yilan County, and Hsinchu City; whereas those with worst rankings were Keelung City, Taitung County, and Taichung County. As for the CVI scores/rankings, similar results were obtained. Maoli County, Yi-Lan County, and Nantou County got the best rankings but Taoyuan County, Yunlin County, and Taitung County had the worst ones. The scenario simulation results showed that, for each of the counties/cities in Taiwan, the WPI score for “baseline” are better than that for “no progress in the environment” and even better than that for “no progress in water uses”. Moreover, for each county/city, the CVI score for the “baseline” scenario is better than that derived from the “man-made destructions continue” scenario. Keywords : Water Poverty Index, Climate Vulnerability Index, Water resources, GIS, WPI, CVI.