教師資料查詢 | 類別: 期刊論文 | 教師: 張麗秋 LI-CHIU CHANG (瀏覽個人網頁)

標題:AI techniques for optimizing multi-objective reservoir operation upon human and riverine ecosystem demands
學年104
學期1
出版(發表)日期2015/10/22
作品名稱AI techniques for optimizing multi-objective reservoir operation upon human and riverine ecosystem demands
作品名稱(其他語言)
著者Wen-Ping Tsai; Fi-John Chang; Li-Chiu Chang; Edwin E. Herricks
單位
出版者
著錄名稱、卷期、頁數Journal of Hydrology 530, p.634-644
摘要Flow regime is the key driver of the riverine ecology. This study proposes a novel hybrid methodology based on artificial intelligence (AI) techniques for quantifying riverine ecosystems requirements and delivering suitable flow regimes that sustain river and floodplain ecology through optimizing reservoir operation. This approach addresses issues to better fit riverine ecosystem requirements with existing human demands. We first explored and characterized the relationship between flow regimes and fish communities through a hybrid artificial neural network (ANN). Then the non-dominated sorting genetic algorithm II (NSGA-II) was established for river flow management over the Shihmen Reservoir in northern Taiwan. The ecosystem requirement took the form of maximizing fish diversity, which could be estimated by the hybrid ANN. The human requirement was to provide a higher satisfaction degree of water supply. The results demonstrated that the proposed methodology could offer a number of diversified alternative strategies for reservoir operation and improve reservoir operational strategies producing downstream flows that could meet both human and ecosystem needs. Applications that make this methodology attractive to water resources managers benefit from the wide spread of Pareto-front (optimal) solutions allowing decision makers to easily determine the best compromise through the trade-off between reservoir operational strategies for human and ecosystem needs.
關鍵字Artificial intelligence (AI);Ecosystems;Artificial neural network (ANN);Genetic algorithm (GA);Water resources management
語言英文
ISSN0022-1694
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者Fi-John Chang
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版,紙本
相關連結
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