The Basin-scale Optimal Operating Strategies for Incorporating Ecology- Flow Relationship in Hsintien Creek Basin, Taiwan

碩士 === 國立成功大學 === 水利及海洋工程學系 === 104 === Water-resources developments such as impoundment and streamflow diversion by water-resources facilities would alter streamflow natural variability and threaten ecosystem diversity and riverine health. Finding a balance between human and environmental needs bec...

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Bibliographic Details
Main Authors: MinCheng, 鄭閔
Other Authors: Jenq-Tzong Shiau
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/59219205658961127915
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Summary:碩士 === 國立成功大學 === 水利及海洋工程學系 === 104 === Water-resources developments such as impoundment and streamflow diversion by water-resources facilities would alter streamflow natural variability and threaten ecosystem diversity and riverine health. Finding a balance between human and environmental needs becomes a challenge task in water-resources management. In this study, a relationship between ecological indicators and hydrological indicators are constructed by multiple linear regression. This relationship is incorporated into a basin-scale model and applied to Hsintien Creek basin located in northern Taiwan to derive the optimal operating strategies. The sampled macroinvertebrates data at various sites are transformed into ecological indicators which include Margalet’s diversity index, Shannon-Wiener’s diversity index and Pielou’s evenness index. A total of 8 human indicators are used to evaluate performance of water-resources facilities for water supply, hydropower generation, and flood mitigation. These two types of indicators are integrated into an overall indicator using technique for order performance by similarity to ideal selection (TOPSIS) to derive the optimal operating strategies. The results show that the current scenario is slightly better than the no environmental flow scenario. The optimal scenario has great improvements in most of human indicators and reduce hydrologic-alteration impacts.