Defining the ecological hydrology of Taiwan Rivers using multivariate statistical methods

JOURNAL OF HYDROLOGY

卷:376

Article

Chang, Fi-John¹  Wu, Tzu-Ching¹  Tsai, Wen-Ping¹  Herricks, Edwin E.² 

[1] Natl Taiwan Univ, Dept Bioenvironm Syst Engn, Taipei, Taiwan

[2] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA

关键词: Ecohydrology;    Taiwan ecological hydrology indicator system;    Flow regime;    River restoration;    Multivariate statistical methods;   

DOI  :  10.1016/j.jhydrol.2009.07.034

来源: Elsevier

【 摘 要 】

The identification and verification of ecohydrologic flow indicators has found new support as the importance of ecological flow regimes is recognized in modern water resources management, particularly in river restoration and reservoir management. An ecohydrologic indicator system reflecting the unique characteristics of Taiwan's water resources and hydrology has been developed, the Taiwan ecohydrological indicator system (TEIS). A major challenge for the water resources community is using the TEIS to provide environmental flow rules that improve existing water resources management. This paper examines data from the extensive network of flow monitoring stations in Taiwan using TEIS statistics to define and refine environmental flow options in Taiwan. Multivariate statistical methods were used to examine TEIS statistics for 102 stations representing the geographic and land use diversity of Taiwan. The Pearson correlation coefficient showed high multicollinearity between the TEIS statistics. Watersheds were separated into upper and lower-watershed locations. An analysis of variance indicated significant differences between upstream, more natural, and downstream, more developed, locations in the same basin with hydrologic indicator redundancy in flow change and magnitude statistics. Issues of multicollinearity were examined using a Principal Component Analysis (PCA) with the first three components related to general flow and high/low flow statistics, frequency and time statistics, and quantity statistics. These principle components would explain about 85% of the total variation. A major conclusion is that managers must be aware of differences among basins, as well as differences within basins that will require careful selection of management procedures to achieve needed flow regimes. (C) 2009 Elsevier B.V. All rights reserved.

【 授权许可】

Free