MATEC Web Conf.
Volume 246, 20182018 International Symposium on Water System Operations (ISWSO 2018)
|Number of page(s)||5|
|Section||Parallel Session I: Water Resources System|
|Published online||07 December 2018|
- Wang W S, Jin J L, Li Y Q, et al. Stochastic Simulation Technology for Hydrology and Water Resources[M]. Chengdu: Sichuan University Press, 2007. [Google Scholar]
- Xie P, Chen G C, Li D, et al. Comprehensive Diagnosis Method of Hydrologic Time Series Change-point Analysis [J]. Water Resources and Power, 2005, 23 (2): 11-14. [Google Scholar]
- Xie P, Chen G C, Lei H F, et al. Hydrological alteration diagnosis system [J]. Journal of Hydroelectric Engineering, 2010, 29 (1): 86-91. [Google Scholar]
- Xi Y J. Elementary Analysis on Features of Water and Sediment in Kuye River Basin [J]. Ground water, 2004, 26 (3): 226-228. [Google Scholar]
- Zhu H F, Zhao W W, Kang M Y, et al. Effect of Human Activities on Flood Season Runoff in Water and Soil Conservation Region [J]. Advances in Water Science, 2008, 19 (3): 400-405. [Google Scholar]
- Ding J. Statistical Detection for Transition Point in Flood Time Sequences [J]. Journal of Wuhan College of Hydr. & Elec. Engineering, 1986 (3): 36-41. [Google Scholar]
- Lei H F, Xie P, Chen G C, et al. Comparison and Analysis on the Performance of Hydrological Time Series Change-point Testing Methods [J]. Water Resources and Power, 2007, 25 (4): 36-40. [Google Scholar]
- Xiao Y, Xia J, Shen M L, et al. The Application of Difference Information Theory in Detecting Change-points of Hydrological Time Series [J]. China Rural Water and Hydropower, 2001, (11): 28-30. [Google Scholar]
- Xia J. Research Progress of Hydrological Complexity and Uncertainty [M]. Beijing: China Water Power Press, 2004. [Google Scholar]
- Wang X L, Hu B Q, Xia J. R /S Analysis Method of Trend and Aberrance Point on Hydrological Time Series [J]. Engineering Journal of Wuhan University, 2002, 35 (2): 10-12. [Google Scholar]
- Jiao E Z. Elementary Analysis on Trends of Water and Sediment in Kuye River Basin [M]. Zhengzhou: Huanghe Water Press, 2002. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.