Integrating Fuzzy Delphi Method and Fuzzy Analytic Network Process to Construct and Evaluate River Landscape Health

• Main Authors: Che-Yu Hsu, 許哲瑜
• Other Authors: 歐聖榮
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/13655834006180241737

博士 === 國立中興大學 === 園藝學系所 === 102 === Rivers serve many societal functions and belong to the most intensively human influenced ecosystems worldwide. In recent years, most current development or construction projects do not meet EIA regulations. However, inadequate project supervision can lead to serious degradation of both river ecologies and surrounding landscape. The paper applied the concepts of “Landscape health” from the literature review with integration in depth-interview, using the Fuzzy Delphi, Fuzzy Analytic Network Process to develop the “River Landscape Health Assessment Indicator System(RLHAIS)” The assessment indicators system includes the indicator “physical and chemical environment”, “landscape change”, “ecological environment” in 3 aspects and 14 indexes, which were then applied to the RLHAIS to analyze the recent 4 years landscape health for the Dongshan River Upstream and Downstream. The result showed that the score of Dongshan River landscape health：In upstream was 0.73、0.72、0.69、0.71. In downstream was 0.71、0.66、0.70、0.68, implying that the healthy level nearly fell onto the “Degraded” state. The score of Dezikou river landscape health：In upstream was 0.67、0.68、0.64、0.66. In downstream was 0.58、0.61、0.66、0.66, implying that the healthy level nearly fell onto the “Degraded” state. The RLHAIS can assist the county governments in understanding the spatial characteristics of river impacts and their vulnerabilities, capacities for rivers. By comparing of these indexes, the system can also be the important references for central and local governments to enhance future river healthy management tasks.