Reservoir Flood Routing Considering the Non-Stationarity of Flood Series in North China

被引:29
作者
Zeng, Hang [1 ]
Feng, Ping [1 ]
Li, Xin [1 ]
机构
[1] Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
Flood frequency analysis; Land use change; Change point; Mixed distribution; Flood routing; EXTREME-VALUE DISTRIBUTION; FREQUENCY-ANALYSIS; DISTRIBUTIONS; PREDICTION; STREAMFLOW;
D O I
10.1007/s11269-014-0744-6
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Owing to the increasing anthropogenic activities, flood frequency analysis and flood control scheduling of reservoir become more and more complicated because of the non-stationarity of flood series. This paper aims to assess the effects that non-stationary flood series, which is affected by land use change of Daqing River Basin (in North China), has induced on the reservoir flood routing. And the analysis has been carried out in Xidayang Reservoir, which is located in south branch of Daqing River Basin of North China. In this paper, the annual maximum peak discharge series and the annual maximum flood volume (1-day, 3-day and 6-day) series of Xidayang Reservoir were selected to detect their variation using three steps change point diagnosis. Mixed distribution was employed to fit the non-stationary flood series, estimating parameters by simulated annealing algorithm. The results indicate that (1) mixed distribution provided a more appropriate and superior fit than conventional distribution (P3 distribution) to non-stationary flood series, (2) design flood values estimated by mixed distribution reduced by 0.03 %-20.24 % with different return periods compared with the results computed by conventional P3 distribution, and (3) through reservoir flood routing, the maximum water level and maximum discharge with various return periods considering the series' non-stationarity also showed a decrease by up to 0.56 m and 81.68 % respectively compared with the results regardless of the series' non-stationarity. These results provide a significant theoretical basis for flood control and water resources management in Daqing River Basin.
引用
收藏
页码:4273 / 4287
页数:15
相关论文
共 39 条
[1]  
Aarts E., 1989, Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
[2]   Implications of heterogeneous flood-frequency distributions on traditional stream-discharge prediction techniques [J].
Alila, Y ;
Mtiraoui, A .
HYDROLOGICAL PROCESSES, 2002, 16 (05) :1065-1084
[3]  
Barbulescu Alina, 2010, WSEAS Transactions on Mathematics, V9, P791
[4]   ROBUST TESTS FOR EQUALITY OF VARIANCES [J].
BROWN, MB ;
FORSYTHE, AB .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1974, 69 (346) :364-367
[5]   Special Issue: Water Engineering and Management in a Changing Environment [J].
Cancelliere, Antonino ;
Rossi, Giuseppe .
WATER RESOURCES MANAGEMENT, 2013, 27 (06) :1619-1621
[6]   Joint Operation and Dynamic Control of Flood Limiting Water Levels for Cascade Reservoirs [J].
Chen, Jionghong ;
Guo, Shenglian ;
Li, Yu ;
Liu, Pan ;
Zhou, Yanlai .
WATER RESOURCES MANAGEMENT, 2013, 27 (03) :749-763
[7]   Non-stationary pooled flood frequency analysis [J].
Cunderlik, JM ;
Burn, DH .
JOURNAL OF HYDROLOGY, 2003, 276 (1-4) :210-223
[8]   Cumulative Effects of Small Reservoirs on Streamflow in Northern Coastal California Catchments [J].
Deitch, Matthew J. ;
Merenlender, Adina M. ;
Feirer, Shane .
WATER RESOURCES MANAGEMENT, 2013, 27 (15) :5101-5118
[9]   THE 2-COMPONENT EXTREME VALUE DISTRIBUTION FOR FLOOD FREQUENCY-ANALYSIS - DERIVATION OF A NEW ESTIMATION METHOD [J].
FIORENTINO, M ;
ARORA, K ;
SINGH, VP .
STOCHASTIC HYDROLOGY AND HYDRAULICS, 1987, 1 (03) :199-208
[10]  
Fraedrich K, 1997, INT J CLIMATOL, V17, P1301, DOI 10.1002/(SICI)1097-0088(199710)17:12<1301::AID-JOC196>3.0.CO