Flood frequency analysis – Part 2: Development of a modified plotting position

IF 1 4区 环境科学与生态学 Q4 WATER RESOURCES Water SA Pub Date : 2022-04-27 DOI:10.17159/wsa/2022.v48.i2.3848.2
D van der Spuy, JA du Plessis
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Abstract

The original plotting position concept was suggested more than a century ago. Since then, many alternative plotting position approaches have been developed. Despite a general lack of agreement around which plotting position is theoretically ‘correct’ and the ‘best’ to use, all plotting positions fail to adequately address outliers and data of similar magnitude. Hydrologists generally fail to acknowledge that the plotting position primarily offers an informative display of data, against which distributions can be compared, rather than an absolute measure of probability. This paper does not intend to challenge any of the many lengthy theoretical mathematical arguments, utilised to ‘prove’ why one plotting position is superior to the others. These theoretical arguments may very well be valid for a ‘population’ of flood peaks – the reality, however, is that hydrologists are confronted with the challenge of analysing very limited ‘samples’ of the population. Consequently, the plotting position issue demands a more pragmatic approach, rather than a purely theoretical approach. This paper illustrates various problems with existing plotting position techniques in use and offers an alternative approach and a more sensible plotting position technique, using Z-scores and referred to as the Z-set PP, against which distributions can be checked. The study further illustrates how effectively the Z‑set PP deals with outliers and its robustness with various record lengths. Although derived from a study of flood peak data obtained from South African flow-gauging sites, it is deemed that it will be universally applicable.
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洪水频率分析。第2部分:修改标绘位置的开发
最初的标绘位置概念是在一个多世纪以前提出的。从那时起,已经开发了许多可供选择的绘图位置方法。尽管普遍缺乏关于绘图位置在理论上“正确”和“最佳”使用的共识,但所有绘图位置都无法充分处理异常值和类似大小的数据。水文学家通常不承认,标绘位置主要提供了数据的信息显示,可以与分布进行比较,而不是绝对的概率度量。本文不打算挑战任何冗长的理论数学论证,用来“证明”为什么一个绘图位置优于其他位置。这些理论上的论点对于洪水高峰的“种群”来说可能非常有效——然而,现实是水文学家面临着分析种群中非常有限的“样本”的挑战。因此,绘图位置问题需要更实际的方法,而不是纯粹的理论方法。本文说明了现有的绘图位置技术在使用中的各种问题,并提供了一种替代方法和更合理的绘图位置技术,使用z分数和称为z集PP,可以根据分布进行检查。该研究进一步说明了Z集PP如何有效地处理异常值及其对各种记录长度的鲁棒性。虽然它是从南非流量测量站点获得的洪峰数据的研究中得出的,但被认为是普遍适用的。
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来源期刊
Water SA
Water SA 环境科学-水资源
CiteScore
2.80
自引率
6.70%
发文量
46
审稿时长
18-36 weeks
期刊介绍: WaterSA publishes refereed, original work in all branches of water science, technology and engineering. This includes water resources development; the hydrological cycle; surface hydrology; geohydrology and hydrometeorology; limnology; salinisation; treatment and management of municipal and industrial water and wastewater; treatment and disposal of sewage sludge; environmental pollution control; water quality and treatment; aquaculture in terms of its impact on the water resource; agricultural water science; etc. Water SA is the WRC’s accredited scientific journal which contains original research articles and review articles on all aspects of water science, technology, engineering and policy. Water SA has been in publication since 1975 and includes articles from both local and international authors. The journal is issued quarterly (4 editions per year).
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