单事件设计洪水估计工具的开发和评估:南非四个气候区的案例研究

O. J. Gericke
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引用次数: 1

摘要

在水工建筑物的规划、设计和运行中,对特定地点具有特定震级-频率关系的设计洪水进行估计是必要的。洪水的发生和频率,以及洪水估计中所涉及的不确定性,都导致了从业者的困境,即根据国际上各种单一事件设计洪水估计方法所获得的结果,做出单一的、合理的决策。本文介绍了南非四个不同气候区域的设计洪水估算工具(DFET)的进一步发展和评估。DFET是用Microsoft Visual Basic for Applications开发和编程的,通过比较基于DFET的12个计量集水区的概率、确定性和经验设计洪水估计,对其功能和应用进行了评估。经过改进和改进的DFET被证明是一种易于使用的软件工具,用于快速估计和评估在测量和未测量集水区现场应用的替代设计洪水估计方法。一般来说,与现场概率洪峰相比,经验方法得到的设计洪峰比确定性方法更可接受。此外,使用更复杂的确定性方法,如合成单元水文(SUH)方法,而不是更简化的确定性方法,如理性方法(RM)和土壤保持服务(SCS)方法,不一定保证和产生更可接受的峰值流量估计。后者还强调,当需要解决实践中遇到的大范围的洪水震级-频率问题时,没有一种设计洪水估算方法可以认为优于其他任何方法。在目前的国家洪水研究计划(NFSP)缩小南非洪水研究和实践之间的差距之前,从业者仍然必须将他们自己的经验、知识和技能应用到这些特殊问题上。
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DEVELOPMENT AND ASSESSMENT OF A SINGLE-EVENT DESIGN FLOOD ESTIMATION TOOL: CASE STUDY IN FOUR CLIMATOLOGICAL REGIONS OF SOUTH AFRICA
The estimation of design floods characterised by a specific magnitude-frequency relationship at a particular site is necessary for the planning, design and operation of hydraulic structures. Both the occurrence and the frequency of floods, along with the uncertainty involved in the estimation thereof, contribute to the practitioners’ dilemma to make a single, justifiable decision based on the results obtained from the various single-event design flood estimation methods available internationally. This paper presents the further development and assessment of a Design Flood Estimation Tool (DFET) in four climatologically different regions of South Africa. The DFET was developed and programmed using Microsoft Visual Basic for Applications and the functionality and application thereof were assessed by comparing the DFET-based probabilistic, deterministic and empirical design flood estimates in 12 gauged catchments. The refined and improved DFET proved to be an easy to use software tool for the rapid estimation and assessment of alternative design flood estimation methods for at-site applications in both gauged and ungauged catchments. In general, the empirical methods resulted in more acceptable design flood peaks than the deterministic methods when compared to the at-site probabilistic flood peaks. Furthermore, the use of more complex deterministic methods, e.g. Synthetic Unit Hydrograph (SUH) method, as opposed to the more simplified deterministic methods, e.g. Rational method (RM) and Soil Conservation Services (SCS) method, does not necessarily guarantee and result in more acceptable peak discharge estimates. The latter also emphasises that no single design flood estimation method could be regarded as superior to any other method when the wide range of flood magnitude-frequency problems encountered in practice, needs to be solved. Practitioners still have to apply their own experience, knowledge and skills to these particular problems until the current National Flood Study Programme (NFSP) narrows the gap between flood research and practice in South Africa.
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