Please wait a minute...
J4  2010, Vol. 44 Issue (8): 1597-1603    DOI: 10.3785/j.issn.1008-973X.2010.08.029
水利工程、土木工程     
基于水文特性的暴雨选样方法的频率转换
邵卫云
浙江大学 土木工程学系,浙江 杭州 310058
Probability relationships between rainstorm sampling methods
based on hydrological characters
SHAO Wei-yun
Department of Civil Engineering, Zhejiang University, Hangzhou 310058, China
 全文: PDF  HTML
摘要:

为了获得暴雨选样年最大值法与年多个样法之间的频率转换关系,基于降雨资料系列的水文特性,根据雨强相等的原则,推导出采用指数分布适线时的暴雨选样方法之间的频率转换关系,并探讨降雨历时与年均选样个数对转换关系的影响;基于年最大值法与超定量法的GhahramanKhalili转换关系,提出年最大值法与年多个样法之间的非线性多参数转换关系,并结合雨量站统计参数特性,推导出参数经验公式,以充分体现水文特性的地区性.利用位于不同水文区域的温州西山站和兰溪水文站的降雨资料系列,与Chow式和GhahramanKhalili式进行对比,验证了提出的转换关系的可行性.

Abstract:

In order to achieve a valid relationship between the probabilities of annual maximum series (AMS) and annual multipeak series(AMPS) for urban rainstorm, a statistical probability relationship suiting for exponential distribution was developed based on the hydrological characters of rainfall series and the equality of rainfall intensity, the effect of rainfall duration and the average number of rainfall peaks per year on the relationship were discussed. Besides, a nonlinear multiparameter relationship between the probabilities of AMS and AMPS was proposed based on GhahramanKhalili relationship of AMS and partial duration series(PDS). Its coefficient estimates were established by considering the statistical parameter characters in each individual rainfall gauge station, which makes sure the relationship of AMS and AMPS can indicate the geographic characters in each individual hydrological region, Those two relationships were evaluated by the AMS series and AMPS series extracted from two gauge stations (Wenzhou station and Lanxi station) located in different hydrological regions and compared with Chow relationship and GhahramanKhalili relationship. The results show that the proposed relationships can practically indicate the interconnection of the event probabilities between AMS and AMPS.

出版日期: 2010-09-21
:  TV 12  
基金资助:

浙江省科技攻关计划资助项目(2005C23074)

作者简介: 邵卫云(1970-),女,浙江建德人,副教授,从事市政工程、城市水环境与防洪减灾的研究.E-mail:shaowy@zju.edu.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

邵卫云. 基于水文特性的暴雨选样方法的频率转换[J]. J4, 2010, 44(8): 1597-1603.

SHAO Wei-Yun. Probability relationships between rainstorm sampling methods
based on hydrological characters. J4, 2010, 44(8): 1597-1603.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2010.08.029        http://www.zjujournals.com/eng/CN/Y2010/V44/I8/1597

[1] 王紫雯,程伟平. 城市水涝灾害的生态机理分析和思考—以杭州市为主要研究对象[J].浙江大学学报:工学版,2002,36(5):582587.
WANG Ziwen, CHENG Weiping. Analysis of ecological mechanism of urban flood and waterlog:research based mainly on Hangzhou city [J]. Journal of Zhejiang University: Engineering Science, 2002, 36(5): 582587.
[2] 岑国平.暴雨资料的选样与统计方法[J]. 给水排水, 1999, 25(4): 14.
CEN Guoping. Sampling method and probability analysis of rainstorm data [J]. Water and Wastewater Engineering, 1999, 25(4): 14.
[3] 杨智硕.暴雨选样间的频率转换问题探讨[J]. 福州大学学报:自然科学版, 2005,33(2): 230233.
YANG Zhishuo. Study on frequency conversion problem in storm sampling [J]. Journal of Fuzhou University: National Science, 2005, 33(2): 230233.
[4] CHOW V T. Frequency analysis of hydrologic data with special application to rainfall intensities \
[R\] Champaign USA, University of Illinois,1953.
[5] 邓培德. 城市暴雨两种选样方法的概率关系与应用评述[J].给水排水, 2006, 32(6): 3942.
DENG Peide. Review on probability and application of two sampling methods for urban storm [J]. Water & Wastewater Engineering, 2006,32(6): 3942.
[6] 任伯帜, 龙腾锐, 王利. 采用年超大值法进行暴雨资料选样[J].中国给水排水, 2003, 19(5): 7981.
REN Baizhi, LONG Tengrui, WANG Li. Use of annual ultrahigh value method for sampling rainstorm data[J]. China Water & Wastewater, 2003,19(5):7981.
[7] GB500142006,室外排水设计规范[S]. 北京:中国计划出版社,2006.
GB500142006, Code for design of outdoor wastewater engineering [S]. Beijing: China Planning Press, 2006.
[8] 邵尧明, 邵丹娜. 杭州市设计暴雨强度信息技术研究[J]. 中国给水排水,2006, 22 (11):5559.
SHAO Yaoming, SHAO Danna. Study on information technology of design storm intensity in Hangzhou city [J]. China Water & Wastewater, 2006,22 (11):5559.
[9] 张理, 梁伟, 高俊发, 等.西安市城市雨水与城市排涝流量计算比较研究[J].城市道桥与防洪,2007,25(2): 4749.
ZHANG Li, LIANG Wei, GAO Junfa, et al. Calculation, comparison and study on flows of urban rainwater and urban drain flooded fields in Xian [J]. Urban Roads Bridges & Flood Control, 2007, 25(2):4749.
[10] GHAHRAMAN B,KHALILI D. A revisit to partial duration series of short duration rainfalls [J]. Iranian Journal of Science & Technology, 2004,28(B5):547558.
[11] TAKEUCHI K. Annual maximum series and partial duration seriesevaluation of Langbeins formula and Chows discussion [J]. Journal of Hydrology, 1984, 68(14): 275284.
[12] WYGA B. Evaluating the occurrence of low magnitude floods: a study of the reliability of the annual maximum series method [J]. Geografiska Annaler, 1995, 77A(1):2333.
[13] 朱颖元,米伟亚.城市短历时暴雨的指数分布及参数估计[J]. 福州大学学报:自然科学版,2005,33(3):285288.
ZHU Yiyuan, MI Weiya. Exponential distribution and its parameter estimation of urban shortduration rainstorm [J]. Journal of Fuzhou University: National Science, 2005, 33(3): 285288.
[14] 郝树棠.一年多次法和超定量法选样重现期的计算问题[J].中国给水排水,1989,5(5): 4042.
HAO Shutang. Probabilities of annual multipeak series and peakoverthreshold series [J]. China Water & Wastewater,1989,5(5): 4042.
[15] CLAPS P, LAIO F. Can continuous streamflow data support flood frequency analysis? an alternative to the partial duration series approach[J].Water Resources Research, 2003,39(8):1216.

[1] 陈一帆,程伟平,蒋建群,钱镜林. 含水工构筑物的山区河流二维流场数值模拟[J]. J4, 2013, 47(11): 1945-1950.
[2] 冉启华,李蔚,梁宁,许月萍. 人类活动对海岛土壤侵蚀影响的数值模拟[J]. J4, 2013, 47(7): 1199-1204.
[3] 鲍鑫 ,贺治国,王振宇,吴钢锋,刘国华,钱镜林. 台风暴雨影响区溃坝洪灾淹没损失评估[J]. J4, 2012, 46(9): 1638-1646.
[4] 贺治国, 吴钢锋, 王振宇, 刘国华, 鲍鑫, 冯威. 台风暴雨影响区域的溃坝洪水演进数值计算[J]. J4, 2010, 44(8): 1589-1596.
[5] 吴钢锋,贺治国,刘国华. 基于守恒稳定格式的二维坡面降雨动力波洪水模型[J]. J4, 2014, 48(3): 514-520.