Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

DU Jinkang; ZHENG Dapeng; XU Youpeng; HU Shunfu; XU Chongyu

doi:10.1007/s11769-016-0838-6

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

doi: 10.1007/s11769-016-0838-6

1.
School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China;
2.
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;
3.
Anhui Electric Power Design Institute of China Energy and Electricity Construction Group, Hefei 230601, China;
4.
Department of Geography, Southern Illinois University Edwardsville, Edwardsville IL 62026, USA;
5.
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;
6.
Department of Geosciences, University of Oslo, N-0316 Oslo 1047 Blindern, Norway

基金项目: Under the auspices of Commonwealth and Specialized Programs for Scientific Research, Ministry of Water Resources of China (No. 200901042)

详细信息

通讯作者:
XU Chongyu.E-mail:chongyu.xu@geo.uio.no

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

1.
School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China;
2.
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;
3.
Anhui Electric Power Design Institute of China Energy and Electricity Construction Group, Hefei 230601, China;
4.
Department of Geography, Southern Illinois University Edwardsville, Edwardsville IL 62026, USA;
5.
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;
6.
Department of Geosciences, University of Oslo, N-0316 Oslo 1047 Blindern, Norway

Funds: Under the auspices of Commonwealth and Specialized Programs for Scientific Research, Ministry of Water Resources of China (No. 200901042)

More Information

Corresponding author: XU Chongyu.E-mail:chongyu.xu@geo.uio.no

摘要: Flooding is the most prevalent and costly natural disaster in the world and building reservoirs is one of the major structural measures for flood control and management. In this paper, a framework was proposed to evaluate functions of reservoirs' locations and magnitudes on daily peak flow attenuation for a large basin of China, namely Ganjiang River Basin. In this study, the Xinanjiang model was adopted to simulate inflows of the reservoirs and flood hydrographs of all sub-catchments of the basin, and simple reservoir operation rules were established for calculating outflows of the reservoirs. Four reservoirs scenarios were established to analyze reservoirs' locations on daily peak flow attenuation. The results showed that:1) reservoirs attenuated the peak discharges for all simulated floods, when the flood storage capacities increase as new reservoirs were built, the peak discharge attenuation by reservoirs showed an increasing tendency both in absolute and relative measures; 2) reservoirs attenuated more peak discharge relatively for small floods than for large ones; 3) reservoirs reduced the peak discharge more efficiently for the floods with single peak or multi peaks with main peak occurred first; and 4) effect of upstream reservoirs on peak attenuation decreased from upper reaches to lower reaches; upstream and midstream reservoirs played important roles in decreasing peak discharge both at middle and lower reaches, and downstream reservoirs had less effect on large peak discharge attenuation at outlet of the basin. The proposed framework of evaluating functions of multiple reservoirs' storage capacities and locations on peak attenuation is valuable for flood control planning and management at basin scale.
- reservoir /
- peak flow /
- Xinanjiang model /
- reservoir operation /
- Ganjiang River Basin
Abstract: Flooding is the most prevalent and costly natural disaster in the world and building reservoirs is one of the major structural measures for flood control and management. In this paper, a framework was proposed to evaluate functions of reservoirs' locations and magnitudes on daily peak flow attenuation for a large basin of China, namely Ganjiang River Basin. In this study, the Xinanjiang model was adopted to simulate inflows of the reservoirs and flood hydrographs of all sub-catchments of the basin, and simple reservoir operation rules were established for calculating outflows of the reservoirs. Four reservoirs scenarios were established to analyze reservoirs' locations on daily peak flow attenuation. The results showed that:1) reservoirs attenuated the peak discharges for all simulated floods, when the flood storage capacities increase as new reservoirs were built, the peak discharge attenuation by reservoirs showed an increasing tendency both in absolute and relative measures; 2) reservoirs attenuated more peak discharge relatively for small floods than for large ones; 3) reservoirs reduced the peak discharge more efficiently for the floods with single peak or multi peaks with main peak occurred first; and 4) effect of upstream reservoirs on peak attenuation decreased from upper reaches to lower reaches; upstream and midstream reservoirs played important roles in decreasing peak discharge both at middle and lower reaches, and downstream reservoirs had less effect on large peak discharge attenuation at outlet of the basin. The proposed framework of evaluating functions of multiple reservoirs' storage capacities and locations on peak attenuation is valuable for flood control planning and management at basin scale.
- reservoir /
- peak flow /
- Xinanjiang model /
- reservoir operation /
- Ganjiang River Basin

[1]	Acreman M C, Farquharson F A K, McCartney M P et al., 2000. Managed Flood Releases from Reservoirs:Issues and Guid-ance. Centre for Ecology and Hydrology, Wallingford, UK.
[2]	Ayalew T B, Krajewski W F, Mantilla R, 2013. Exploring the effect of reservoir storage on peak discharge frequency. Journal of Hydrologic Engineering, 18(12):1697-1708. doi: 10.1061/(ASCE)HE.1943-5584.0000721
[3]	Bao H J, Zhao L N, He Y et al., 2011. Coupling ensemble weather predictions based on TIGGE database with Grid-Xinanjiang Model for flood forecast. Advances in Geosciences, 29 (6):61-67. doi: 10.5194/adgeo-29-61-2011
[4]	Chen Y W, Tsai J P, Chang L C et al., 2014. The development of a real-time flooding operation model in the Tseng-Wen Reservoir. Hydrology Research, 45(3):490-503. doi: 10.2166/nh.2013.301
[5]	Cheng C T, Chau K W, 2001. Fuzzy iteration methodology for reservoir flood control operation. Journal of the American Wa-ter Resources Association, 37(5):1381-1388. doi: 10.1111/j.1752-1688.2001.tb03646.x
[6]	Cheng C T, Chau K W, 2004. Flood control management system for reservoirs. Environmental Modelling & Software, 19(12):1141-1150. doi: 10.1016/j.envsoft.2003.12.004
[7]	Cheng C T, Zhao M Y, Chau K W et al., 2006. Using genetic algorithm and TOPSIS for Xinanjiang model calibration with a single procedure. Journal of Hydrology, 316(1-4):129-140. doi: 10.1016/j.jhydrol.2005.04.022
[8]	Chou F N F, Wu C W, 2015. Stage-wise optimizing operating rules for flood control in a multi-purpose reservoir. Journal of Hydrology, 521:245-260. doi: 10.1016/j.jhydrol.2014.11.073
[9]	Connaughton J, King N, Dong L et al., 2014. Comparing simple flood reservoir operation rules. Water, 6(9):2717-2731. doi: 10.3390/w6092717
[10]	De Paes R P, Brandão J L B, 2013. Flood control in the Cuiabá River Basin, Brazil, with multipurpose reservoir operation. Water Resources Management, 27(11):3929-3944. doi: 10.1007/s11269-013-0388-y
[11]	Dittmann R, Froehlich F, Pohl R et al., 2009. Optimum multi-objective reservoir operation with emphasis on flood control and ecology. Natural Hazards and Earth System Sciences, 9(6):1973-1980. doi: 10.5194/nhess-9-1973-2009
[12]	Ford D T, Killen J R, 1995. PC-based decision-support system for Trinity River, Texas. Journal of Water Resources Planning and Management, 121(5):375-381. doi: 10.1061/(ASCE)0733-9496(1995)121:5(375)
[13]	Hickey J T, Bond M V, Patton T K et al., 2003. Reservoir simula-tions of synthetic rain floods for the Sacramento and San Joaquin river basins. Journal of Water Resources Planning and Management, 129(6):443-457. doi: 10.1061/(ASCE)0733-9496(2003)129:6(443)
[14]	Jenicek M, 2008. Modelling the effect of small reservoirs on flood regime in the Chomutovka river basin. In:Brilly M and Šraj M. XXIVth Conference of the Danubian Countries on the Hydrological Forecasting and Hydrological Bases of Water Management. Slovenian National Committee for the IHP UNESCO, Ljubljana, 1-7.
[15]	Jordan F M, Boillat J, Schleiss A J, 2012. Optimization of the flood protection effect of a hydropower multi-reservoir system. International Journal of River Basin Management, 10(1):65-72. doi: 10.1080/15715124.2011.650868
[16]	Kumar D N, Baliarsingh F, Raju K S, 2010. Optimal reservoir operation for flood control using folded dynamic programming. Water Resources Management, 24(6):1045-1064.doi: 10.1007/s11269-009-9485-3
[17]	Lee K, Chang C, Yang M et al., 2001. Reservoir attenuation of floods from ungauged basins. Hydrological Science Journal, 46(3):349-362. doi: 10.1080/02626660109492831
[18]	Li H, Zhang Y, Chiew F et al., 2009. Predicting runoff in un-gauged catchments by using Xinanjiang model with MODIS leaf area index. Journal of Hydrology, 370(1-4):155-162. doi: 10.1016/j.jhydrol.2009.03.003
[19]	Li H, Zhang Y, Vaze J et al., 2012. Separating effects of vegetation change and climate variability using hydrological modelling and sensitivity-based approaches. Journal of Hydrology, 420(7):403-418. doi: 10.1007/s11431-012-4859-9
[20]	López-Moreno J I, Beguería S, García-Ruiz J M, 2002. Influence of the Yesa Reservoir on floods of the Aragón River, central Spanish Pyrenees. Hydrology and Earth System Sciences, 6(4):753-762. doi: 10.5194/hess-6-753-2002
[21]	Luo J G, Qi Y T, Xi J C et al., 2015. A hybrid multi-objective PSO-EDA algorithm for reservoir flood control operation. Applied Soft Computing, 34:526-538. doi: 10.1016/j.asoc.2015.05.036
[22]	Nash J E, Sutcliffe J V, 1970. River flow forecasting through conceptual models:Part 1. A discussion of principles. Journal of Hydrology, 10(3):282-290. doi: 10.1016/0022-1694(70)90255-6
[23]	Ngo L L, Madsen H, Rosbjerg D et al., 2008. Implementation and comparison of reservoir operation strategies for the Hoa Binh Reservoir, Vietnam using the Mike 11 Model. Water Resources Management, 22(4):457-472. doi: 10.1007/s11269-007-9172-1
[24]	Song X M, Kong F Z, Zhan C H et al., 2012. Hybrid optimization rainfall-runoff simulation based on Xinanjiang model and artificial neural network. Journal of Hydrologic Engineering, 17(9):1033-1041. doi: 10.1061/(ASCE)HE.1943-5584.0000548
[25]	Schultz B, 2002. Role of dams in irrigations, drainage and flood control. International Journal of Water Resources Develop-ment, 18(1):147-162. doi: 10.1080/07900620220121710
[26]	Seibert S P, Skublics D, Ehret U, 2014. The potential of coordi-nated reservoir operation for flood mitigation in large basins:a case study on the Bavarian Danube using coupled hydrologi-cal-hydrodynamic models. Journal of Hydrology, 517(1):1128-1144. doi: 10.1016/j.jhydrol.2014.06.048
[27]	Shi P, Chen C, Srinivasan R et al., 2011. Evaluating the SWAT model for hydrological modeling in the Xixian Watershed and a comparison with the XAJ model. Water Resources Manage-ment, 25(10):2595-2612. doi: 10.1007/s11269-011-9828-8
[28]	Simonovic S P, 2002. Two new non-structural measures for sus-tainable management of floods. Water International, 27(1):38-46. doi: 10.1080/02508060208686976
[29]	Wang G Q, Xu Z X, 2011. Assessment on the function of reser-voirs for flood control during typhoon seasons based on a dis-tributed hydrological model. Hydrological Processes, 25(16):2506-2517. doi: 10.1002/hyp.8023
[30]	WMO (World Meteorological Organization), 2006. Environmental Aspects of Integrated flood Management, APFM Technical Document No.3, Flood Management Policy Series. Geneva:Associated Programme on Flood Management, World Meteor-ological Organization, WMO, No.1009.
[31]	Wu Y, Chen J, Sivakumar B, 2007. Numerical modeling of opera-tion and hydrologic effects of Xinfengjiang Reservoir in southern China. In:Oxley L et al. (eds). MODSIM 2007 In-ternational Congress on Modeling and Simulation. Modeling and Simulation Society of Australia and New Zealand, 1561-1567.
[32]	Xu J, 1990. Downstream hydrological effects of reservoirs built in mountainous areas and their environmental influences. In:Sinniger O et al. (eds). Hydrology in Mountainous Regions. II Artificial Reservoirs:Water and Slopes. Wallingford:IAHS Publication, 194:187-194.
[33]	Xu C Y, Singh V P, 2001. Evaluation and generalization of tem-perature-based methods for calculating evaporation. Hydro-logical Processes, 15(2):305-319. doi: 10.1002/hyp.119
[34]	Yang D, Koike T, Tanizawa H, 2004. Application of a distributed hydrological model and weather radar observations for flood management in the upper Tone River of Japan. Hydrological Processes, 18(16):3119-3132. doi: 10.1002/hyp.5752
[35]	Yao C, Li Z, Bao H et al., 2009. Application of a developed Grid-Xinanjiang Model to Chinese watersheds for flood fore-casting purpose. Journal of Hydrologic Engineering, 14(9):923-934. doi: 10.1061/(ASCE)HE.1943-5584.0000067
[36]	Zhang D, Zhang L, Guan Y et al., 2012. Sensitivity analysis of Xinanjiang rainfall-runoff model parameters:a case study in Lianghui, Zhejiang Province, China. Hydrology Research, 43(1-2):123-134. doi: 10.2166/nh.2011.131
[37]	Zhang Y, You Q, Lin H et al., 2015. Analysis of dry/wet condi-tions in the Gan River Basin, China, and their association with large-scale atmospheric circulation. Global and Planetary Change, 133:309-317. doi: 10.1016/j.gloplacha.2015.09.005
[38]	Zhao R, 1992. The Xinanjiang model applied in China. Journal of Hydrology, 135 (1-4):371-381. doi: 10.1016/0022-1694(92)90096-E
[39]	Zhao R, Zhuang Y, Fang L et al., 1980. The Xinanjiang Model. Hydrological Forecasting. Wallingford:IAHS Publication, 129:351-356.
[40]	Zhou Y L, Guo S L, Liu P et al., 2014. Joint operation and dynamic control of flood limiting water levels for mixed cascade reservoir systems. Journal of Hydrology, 519(3):248-257. doi: 10.1016/j.jhydrol.2014.07.029

[1]	Wei WEI, Congying LIU, Libang MA, Xueyuan ZHANG, Binbin XIE. Ecological Land Suitability for Arid Region at River Basin Scale: Framework and Application Based on Minmum Cumulative Resistance (MCR) Model . Chinese Geographical Science, 2022, 32(2): 312-323. doi: 10.1007/s11769-022-1261-9
[2]	Junhong CHEN, Lihua ZHANG, Peipei CHEN, Yongming MA. Application of Spatially Distributed Calibrated Hydrological Model in Evapotranspiration Simulation of Three Gorges Reservoir Area of China: A Case Study in the Madu River Basin . Chinese Geographical Science, 2022, 32(6): 1083-1098. doi: 10.1007/s11769-022-1318-9
[3]	ZHONG Ronghua, HE Daming, HU Jinming, DUAN Xingwu, HUANG Jiangcheng, CHENG Xupeng. Distribution and Susceptibility Assessment of Collapses and Landslides in the Riparian Zone of the Xiaowan Reservoir . Chinese Geographical Science, 2019, 20(1): 70-85. doi: 10.1007/s11769-018-1012-0
[4]	TIAN Fuqiang, HU Hongchang, SUN Yu, LI Hongyi, LU Hui. Searching for an Optimized Single-objective Function Matching Multiple Objectives with Automatic Calibration of Hydrological Models . Chinese Geographical Science, 2019, 29(6): 934-948. doi: 10.1007/s11769-019-1068-5
[5]	WANG Qinggai, ZHAO Xiaohong, CHEN Kaiqi, LIANG Peng, LI Shibei. Sensitivity Analysis of Thermal Equilibrium Parameters of MIKE 11 Model：A Case Study of Wuxikou Reservoir in Jiangxi Province of China . Chinese Geographical Science, 2013, 23(5): 584-593. doi: 10.1007/s11769-013-0628-3
[6]	YANG Yuhong, YAN Baixing, SHEN Wanbin. Assessment of Point and Nonpoint Sources Pollution in Songhua River Basin, Northeast China by Using Revised Water Quality Model . Chinese Geographical Science, 2010, 20(1): 30-36. doi: 10.1007/s11769-010-0030-3
[7]	JIANG Yan, LIU Changming, ZHENG Hongxing, LI Xuyong, WU Xianing. Responses of River Runoff to Climate Change Based on Nonlinear Mixed Regression Model in Chaohe River Basin of Hebei Province, China . Chinese Geographical Science, 2010, 20(2): 152-158. doi: 10.1007/s11769-010-0152-7
[8]	JIANG Guangjia, LIU Dianwei, SONG Kaishan, WANG Zongming, ZHANG Bai, WANG Yuandong. Application of Multivariate Model Based on Three Simulated Sensors for Water Quality Variables Estimation in Shitoukoumen Reservoir, Jilin Province, China . Chinese Geographical Science, 2010, 20(4): 337-344. doi: 10.1007/s11769-010-0406-4
[9]	MENG Lihong, CHEN Yaning, LI Weihong, ZHAO Ruifeng. Fuzzy Comprehensive Evaluation Model for Water Resources Carrying Capacity in Tarim River Basin, Xinjiang, China . Chinese Geographical Science, 2009, 19(1): 89-95. doi: 10.1007/s11769-009-0089-x
[10]	XU Jingping, ZHANG Bai, LI Fang, SONG Kaishan, WANG Zongming, LIU Dianwei, ZHANG Guangxin. Retrieval of Total Suspended Matters Using Field Spectral Data in Shitoukoumen Reservoir, Jilin Province, Northeast China . Chinese Geographical Science, 2009, 19(1): 77-82. doi: 10.1007/s11769-009-0077-1
[11]	TANG Yanling, ZHANG Guangxin, YANG Yuesuo, GAO Yingzhi. Identifying Key Environmental Factors Influencing Spatial Variation of Water Quality in Upper Shitoukoumen Reservoir Basin in Jilin Province, China . Chinese Geographical Science, 2009, 19(4): 365-374. doi: 10.1007/s11769-009-0365-9
[12]	ZHANG Bao-lei, SONG Meng-qiang, ZHOU Wan-cun. EXPLORATION ON METHOD OF AUTO-CLASSIFICATION FOR MAIN GROUND OBJECTS OF THREE GORGES RESERVOIR AREA . Chinese Geographical Science, 2005, 15(2): 157-161.
[13]	SHAO Jin-gan, HUANG Xue-qin, QU Ming, WEI Chao-fu, XIE De-ti. LAND USE CHANGE AND ITS SOCIO-ECONOMIC DRIVING FORCES UNDER STRESS OF PROJECT IN OLD RESERVOIR AREA --Case Study of Linshui Reservoir Area of Dahonghe Reservoir in Sichuan Province . Chinese Geographical Science, 2005, 15(4): 315-324.
[14]	DAI Chang-lei, CHI Bao-ming, GAO Shu-qin. ANALYSIS AND CALCULATION OF REGULATED WATER RESOURCES OF GROUNDWATER RESERVOIR . Chinese Geographical Science, 2005, 15(1): 60-63.
[15]	ZHANG Xue-ping, ZHANG Yi, CAO Hui-cong. PIONEER PLANTS FOR ECOSYSTEM RECOVERY IN DRAINAGE BASIN OF ERLONGSHAN RESERVOIR IN HEILONGJIANG PROVINCE, CHINA . Chinese Geographical Science, 2004, 14(4): 377-381.
[16]	ZANG Shu-ying, YUAN Hui, NING Jing. THE LANDSCAPE ECOLOGICAL ASSESSMENT AND PLANNING IN THE CONTROL WATERSHED BY RESERVOIR OF ERLONG MOUNTAIN . Chinese Geographical Science, 2002, 12(2): 176-181.
[17]	SUN Yan-feng, GUO Huai-cheng, QU Guang-yi. A SYSTEM DYNAMICS APPROACH FOR SUSTAINABLE DEVELOPMENT IN THE MIYUN RESERVOIR AREA, CHINA . Chinese Geographical Science, 2002, 12(2): 157-165.
[18]	LAN Yong-chao, KANG Er-si, MA Quan-jie, ZHANG Ji-shi. STUDY ON TREND PREDICTION AND VARIATION ON THE FLOW INTO THE LONGYANGXIA RESERVOIR . Chinese Geographical Science, 2001, 11(1): 35-41.
[19]	姜乃森, 傅玲燕. PROBLEMS OF RESERVOIR SEDIMENTATION IN CHINA . Chinese Geographical Science, 1998, 8(2): 117-125.
[20]	林承坤, 高锡珍. EVOLUTION OF RAPIDS OF CREEK MOUTH-BAR AT GEZHOUBA RESERVOIR AND THE IMPACTS ON NAVIGABLE CHANNEL IN THE UPPER REACHES OF THE CHANGJIANG RIVER . Chinese Geographical Science, 1996, 6(3): 223-230.

点击查看大图

计量

文章访问数: 301
HTML全文浏览量: 19
PDF下载量: 687
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

doi: 10.1007/s11769-016-0838-6

通讯作者:
XU Chongyu.E-mail:chongyu.xu@geo.uio.no

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

Corresponding author: XU Chongyu.E-mail:chongyu.xu@geo.uio.no

计量

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

doi: 10.1007/s11769-016-0838-6

通讯作者: XU Chongyu.E-mail:chongyu.xu@geo.uio.no

English Abstract

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

Corresponding author: XU Chongyu.E-mail:chongyu.xu@geo.uio.no

全文HTML

目录

留言板

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

doi: 10.1007/s11769-016-0838-6

通讯作者: XU Chongyu.E-mail:chongyu.xu@geo.uio.no

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

Corresponding author: XU Chongyu.E-mail:chongyu.xu@geo.uio.no

计量

出版历程

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

doi: 10.1007/s11769-016-0838-6

通讯作者: XU Chongyu.E-mail:chongyu.xu@geo.uio.no

English Abstract

Evaluating Functions of Reservoirs' Storage Capacities and Locations on Daily Peak Attenuation for Ganjiang River Basin Using Xinanjiang Model

Corresponding author: XU Chongyu.E-mail:chongyu.xu@geo.uio.no

全文HTML

目录

通讯作者:
XU Chongyu.E-mail:chongyu.xu@geo.uio.no