PDF全文下载: 2016020233
宋辉1, 王秀英2
(1.丹东市广播电视大学 理工系,辽宁 丹东 118001;2.青岛科技大学 信息科学技术学院,山东 青岛 266061)
摘要: 随着洪水灾害研究的不断深入和防洪减灾工程措施逐渐完善,洪水流速决定洪水携沙能力和动力强度成为水灾的主要因素逐渐被突显出来。本研究以鸭绿江下游荒沟站实测38年最大洪水流速(PMV)为样本,以曼宁公式为理论基础,根据基本断面稳定性、糙率变化等因素判定样本具有一致性且满足独立样本条件;根据洪水流速特点及概率分布特征判定样本服从皮尔逊Ⅲ型分布。利用适线法对其参数进行估计,并计算不同频率最大可能流速,开展对洪水年最大可能洪水流速的定量计算研究,为防汛减灾提供技术支撑。
关键词: 鸭绿江; 荒沟站; 水灾害; 年最大流速; 皮尔逊Ⅲ型分布; 参数估计
中图分类号: O 211 文献标志码: A
Probability Distribution Model Selection and Parameter Estimation of Maximum Annual Current Velocity of DownstreamYaluRiver
SONG Hui1, WANG Xiuying2
(1.Departments of Technology,Dandong Radio and Television University, Dandong 118001, China;
2.College of Information Science and Technology,QingdaoUniversityof Science and Technology,Qingdao266061,China)
Abstract: With the deepening of floods research and the gradual improvement of flood control engineering, dynamic strength of the flood flow and the notion of flood velocity determining sand carrying capacity are increasingly standing out as the major factors leading to water disasters. In this paper, using the biggest flood flow in38 aat the Yalu River downstream Huanggou station as sample and Manning′s equation theoretical analysis as basis, it was determined that the sample is consistent and meets the basic requirement for independent sample condition, based on the basic crosssection stability, roughness changes and other factors. It was found that the distribution of the sample obeys PearsonⅢ distribution characteristics, based on the flow rate and the probability of flooding. To conduct quantitative study on annual probable maximum velocity, and to provide technical support for the flood mitigation, fitting method was used to calculate the estimated parameters and the maximum possible flow rates at different frequencies.
Key words: Yalu River; Huanggou hydrological station; water hazard; annual probable maximum velocity(PMV); PearsonⅢ distribution; parameter estimation
收稿日期: 20150408
基金项目: 山东省高校科技计划项目(J14LN31).
作者简介: 宋辉(1962—),女,副教授.
文章编号: 16726987(2016)02023304; DOI: 10.16351/j.16726987.2016.02.022