Spatial and Temporal Streamflow Trends in Northern Taiwan

Water

Chen-Feng Yeh¹  Jinge Wang²  Hsin-Fu Yeh¹  Cheng-Haw Lee¹ 

[1] Department of Resources Engineering, National Cheng Kung University, Tainan 70101, Taiwan; E-Mails:;Three Gorges Research Center for Geo-hazard, China University of Geosciences, Wuhan 430074, China; E-Mail:

关键词: streamflow;    trend analysis;    Mann-Kendall trend test;    Mann-Whitney-Pettit test;    cumulative deviation test;    Theil-Sen estimator;   

DOI  :  10.3390/w7020634

来源: mdpi

【 摘 要 】

Streamflow is an important factor in the study of water resource management, floods, and droughts. Dramatic climate change has created extreme rainfall distributions, making the study of streamflow trends and variability even more crucial. In this study, the long-term streamflow data and trends recorded at gauging stations in Northern Taiwan are analyzed using the Mann-Kendall test. The data used for trend analysis are the average annual streamflow, the average seasonal streamflow, and the high and low flows. The slope trend is calculated using the Theil-Sen estimator. Finally, change point analysis is conducted using the Mann-Whitney-Pettit test and the cumulative deviation test to gain further information about the change points and to understand the changes in streamflow before and after the change points. The average annual streamflow of the 12 gauging stations in the study area is analyzed using the Mann-Kendall test. The results show that of the 12 gauging stations, only the Ximen Bridge Station in the Lanyang River basin show a significant downward streamflow trend. Results of the monthly and seasonal average streamflow analysis show that in the spring, 72.2% of the gauging stations showed upward streamflow trends, most of which were located in the Tamsui River and the Touqian River basins. The high and low flow data analysis shows that the Ximen Bridge Station was the only gauging station to feature a significant downward streamflow trend for both high and low flows. This distribution pattern provides valuable information for regional hydrological studies and water management.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.