Standard precipitation-temperature index (SPTI) drought identification by fuzzy c-means methodology

IF 2.7 4区 地球科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Zekâi Şen
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Abstract

Global warming and climate change impacts intensify hydrological cycle and consequently unprecedented drought and flood appear in different parts of the world. Meteorological drought assessments are widely evaluated by the concept of standardized precipitation index (SPI), which provides drought classification. Its application is based on the probabilistic standardization procedure, but in the literature, there is a confusion with the statistical standardization procedure. This paper provides distinctive differences between the two approaches and provides the application of a better method. As a novel approach, SPI classification is coupled with fuzzy clustering procedure, which provides drought evaluation procedure based on two variables jointly, precipitation and temperature, which is referred to as the standard precipitation-temperature index (SPTI). The final product is in the form of fuzzy c-means clustering in five clusters with exposition of annual drought membership degrees (MDs) for each cluster and resulting objective function. The application of the proposed fuzzy methodology is presented for the long-term annual precipitation and temperature records from New Jersey Statewide records.

Abstract Image

用模糊 c-means 方法识别标准降水-温度指数 (SPTI) 旱情
全球变暖和气候变化的影响加剧了水文循环,因此世界各地出现了前所未有的旱涝灾害。气象干旱评估广泛采用标准化降水指数(SPI)的概念,该指数提供了干旱分类。其应用基于概率标准化程序,但在文献中与统计标准化程序存在混淆。本文介绍了这两种方法的显著区别,并提供了一种更好方法的应用。作为一种新方法,SPI 分类与模糊聚类程序相结合,提供了基于降水和温度两个变量的干旱评估程序,即标准降水-温度指数(SPTI)。最终结果以模糊 c-means 聚类的形式划分为五个聚类,并阐述了每个聚类的年度干旱成员度(MD)和由此产生的目标函数。建议的模糊方法应用于新泽西州全州记录的长期年降水量和温度记录。
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来源期刊
Earth Science Informatics
Earth Science Informatics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
4.60
自引率
3.60%
发文量
157
审稿时长
4.3 months
期刊介绍: The Earth Science Informatics [ESIN] journal aims at rapid publication of high-quality, current, cutting-edge, and provocative scientific work in the area of Earth Science Informatics as it relates to Earth systems science and space science. This includes articles on the application of formal and computational methods, computational Earth science, spatial and temporal analyses, and all aspects of computer applications to the acquisition, storage, processing, interchange, and visualization of data and information about the materials, properties, processes, features, and phenomena that occur at all scales and locations in the Earth system’s five components (atmosphere, hydrosphere, geosphere, biosphere, cryosphere) and in space (see "About this journal" for more detail). The quarterly journal publishes research, methodology, and software articles, as well as editorials, comments, and book and software reviews. Review articles of relevant findings, topics, and methodologies are also considered.
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