利用小波变换分析气候变量的动态变化;评估伊朗可用水资源的状况(1961-2020 年)

IF 2.7 4区 地球科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ali Rezaee, Abolfazl Mosaedi, Aliasghar Beheshti, Azar Zarrin
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引用次数: 0

摘要

近年来,气候变化的影响和后果表现为基本气候变量的不规则性和趋势。在大多数情况下,气候变量的趋势与周期性有关。本研究调查了伊朗 60 年间这些数据(降水量、温度、蒸散量和净可用水量)的趋势和周期性。采用 Mann-Kendall 趋势检验法和森斜率估计法分析趋势及其幅度。小波变换用于检测时间序列的周期性,并确定 NWA 与温度、降水量和蒸散量在共同周期内的相关性。结果表明,位于伊朗东部和西部的站点具有更明显的增加/减少趋势。在大多数站点中,蒸散量的上升趋势最大,其次是温度,而核辐射吸收量和降水量的趋势显著性水平较低,且呈下降趋势。对时间序列周期性的研究表明,在所有研究站点中,蒸散量的周期性最长,平均为 8.3 年,其次是水汽蒸发量、温度和降水量,分别为 7.3 年、5.8 年和 5.5 年。相关性调查结果表明,在约 80% 的站点中,降水和 NWA 在短期周期和研究期末存在高度相关性。大多数站点的蒸发蒸腾变量在不同周期内与 NWA 量高度相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using wavelet transform to analyze the dynamics of climatic variables; to assess the status of available water resources in Iran (1961–2020)

Using wavelet transform to analyze the dynamics of climatic variables; to assess the status of available water resources in Iran (1961–2020)

In recent years, the effects and consequences of climate change have shown themselves by creating irregularities and trends in the essential climatic variables. In most cases, the trend of climatic variables is associated with periodicity. In this study, the trends and periodicity of these data (precipitation, temperature, evapotranspiration, and net available water (NWA) have been investigated in a period of 60 years in Iran. The Mann–Kendall trend test and Sen’s slope estimator are applied for analyzing the trend and its magnitude. Wavelet transform is used to detect the periodicity of time series and to determine the correlation between NWA and temperature, precipitation, and evapotranspiration in common periodicity. The results show that the stations located in eastern and western Iran have more significant increasing/decreasing trends. Evapotranspiration shows the highest increasing trend in most stations, followed by temperature, while NWA and precipitation have trends at lower significance levels and decreasing direction. The examination of periodicity in time series showed that, among all the studied stations, evapotranspiration has the most extended periodicity with an average length of 8.3 years, followed by NWA, temperature, and precipitation with 7.3 years, 5.8 years, and 5.5 years. The results of the correlations investigation showed that in about 80% of the stations, there is a high correlation between precipitation and NWA in the short-term periodicity and at the end of the studied period. The evapotranspiration variable in most stations has a high correlation in different periodicities with the amount of NWA.

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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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