洪水资源利用多目标风险决策模型研究
Multi-Objective Risk Decision Model of Flood Resources Utilization
DOI: 10.12677/JWRR.2014.31002, PDF, HTML,    国家科技经费支持
作者: 黄显峰, 方国华：河海大学水利水电学院，南京；陈颖钦：河海大学文天学院土木工程系，马鞍山；朱丽向：连云港市水利局，连云港
关键词: 洪水；风险估计；风险决策模型；多目标；Flood; Risk Estimates; Risk Decision Model; Multi-Objective
摘要: 流域下游地区是著名的洪水走廊，过境洪水资源利用是该地区缓解水资源短缺和洪涝多发矛盾的战略举措。如何安全合理的利用过境洪水，既不增加防洪压力又能适量利用，是研究洪水资源利用必须解决的关键问题。本文对沂沭泗流域下游地区过境洪水资源利用风险因素进行识别，针对水库大坝安全风险和下泄流量超过安全泄量风险进行了风险估计，在此基础上，以过境洪水资源利用综合效益值最大化为目标，综合考虑洪水资源利用经济效益和风险损失，构建过境洪水资源利用风险决策模型，将风险决策模型计算得到的洪水资源利用综合效益值作为水库汛限水位调整的依据，最后以连云港市石梁河水库为例进行研究，为我国沿海平原地区过境洪水资源利用风险管理决策提供了借鉴。
Abstract: The region of river downstream is the famous flood passage. Flood resources utilization is the strategic initiatives of alleviating water shortages and flood contradictory in the region. How to safely and rationally use flood is the key point to research the flood resources utilization. In the paper, the risk factors of flood resources utilization are identified in the downstream of Yishusi Basin. The risks of dam safety and discharged flow exceeding the safety discharge are evaluated. On the basis, the risk decision model is established, which aims at the maximizing comprehensive benefits of flood resources utilization, considering the economic benefits and risks loss of flood resource utilization. The calculation results of the model are taken as the basis for reservoir flood level adjustment. Finally, taking Shilianghe reservoir in Jiangsu Province as a case study, the research provides a reference for flood resources utilization in the coastal plain area.
文章引用：黄显峰, 陈颖钦, 方国华, 朱丽向. 洪水资源利用多目标风险决策模型研究[J]. 水资源研究, 2014, 3(1): 9-13. http://dx.doi.org/10.12677/JWRR.2014.31002

参考文献

[1] LOUCKS, D. P., STEDINGER, J. R. and HAITH, D. A. Water resources systems planning and analysis. Prentie-Hall, Upper Saddle River, 1981.
[2] ANSELMO, V., GALEATI, G., PALMIREI, S., et al. Flood risk assessment using an integrated hydrological and hydraulic modeling approach: A case study. Journal of Hydrology, 1996, 175 (1-4): 533-554.
[3] 黄强, 苗隆德, 王增发. 水库调度中的风险分析及决策方法[J]. 西安理工大学学报, 1999, 15(4): 6-10.
HUANG Qiang, MIAO Longde and WANG Zengfa. Analysis and decision methods for the risk in reservoir operation. Journal of XI’an University of Technology, 1999, 15(4): 6-10. (in Chinese)
[4] 王本德, 周惠成, 程春田等. 水库预蓄效益与风险控制模型[J]. 水文, 2000, 20(1): 14-18.
WANG Bende, ZHOU Huicheng, CHENG Chuntian, et al. A study on river sedment tour gauging and testing suited to reform of China’s hydrologlcal system. Hydrology, 2000, 20(1): 14-18. (in Chinese)
[5] 万俊, 高革命, 潘甘, 陈惠源. 考虑预报预泄时白盆珠水库汛期蓄水运用方式研究[J]. 武汉水利电力大学学报, 2000, 33(1): 10-13.
WAN Jun, GAO Gemin, PAN Gan and CHEN Huiyuan. Operation manner researches of water storage of Baibengzhu Reservoir during flood season concerned flood forecast and flood pre-discharge. Journal of Wuhan University of Hydraulic and Electric Engineering. 2000, 33(1): 10-13. (in Chi-nese)
[6] 王本德, 郑德凤, 周惠成等. 汛限水位动态控制方案优选方法及指标体系研究[J]. 大连理工大学学报, 2007, 47(1): 113118.
WANG Bende, ZHENG Defeng, ZHOU Huicheng, et al. Study of index system and fuzzy optimum model on schemes of dynamic flood control limited water level of a reservoir. Journal of Dalian University of Technology, 2007, 47(1): 115-118. (in Chinese)
[7] 傅湘, 王丽萍, 纪昌明. 极值统计学在洪灾风险评价中的应用[J]. 水利学报, 2001, 7: 8-12.
FU Xiang, WANG Liping and JI Changming. Application of statistics of extremes of flood hazard risk evaluation. Journal of Hydraulic Engineering, 2001, 7: 8-12. (in Chinese)
[8] 刘艳丽. 径流预报模型不确定性研究及水库防洪风险分析[D]. 大连理工大学, 2008.
LIU Yanli. Uncertainty analysis of rainfall-runoff models and risk assessment of reservoir flood control. Dalian University of Technology, 2008. (in Chinese)
[9] 王本德, 周惠成. 水库汛限水位动态控制理论与方法及其应用[M]. 中国水利水电出版社, 北京, 2006.
WANG Bende, ZHOU Huicheng. Theory, method and application on dynamic control of reservoir limit water level. China Water Power Press, Beijing, 2006. (in Chinese)
[10] 吴浩云, 刁训娣, 曾赛星. 引江济太调水经济效益分析——以湖州市为例[J]. 水科学进展, 2008, 19(6): 888-892.
WU Haoyun, DIAO Xundi and ZENG Saixing. Analysis of benefit of water diversion from Yangtze River to Taihu Lake: Case study in Huzhou City. Advances in Water Science, 2008, 19(6): 888-892. (in Chinese)