Abstract
It is a known fact that the size, frequency, and spatial variability of hydrometeorological variables will irregularly increase under the impact of climate change. Among the hydrometeorological variables, rainfall is one of the most important. Trend analysis is one of the most effective methods of observing the effects of climate change on rainfall. Recently, new graphical methods have been proposed as an alternative to classical trend analysis methods. Innovative Polygon Trend Analysis (IPTA), which evolved from Innovative Trend Analysis (ITA), is currently one of the proposed methods and it does not contain any assumptions. The aim of this study is to compare IPTA, ITA with the Significance Test and Mann-Kendall (MK) methods. To achieve this, the monthly total rainfall trends of 15 stations in the Vu Gia-Thu Bon River Basin (VGTBRB) of Vietnam have been examined for the period 1979–2016. The analyses show that rainfall tends to increase (decrease) in March (June) at nearly all stations. IPTA and ITA with the Significance Test are more sensitive than MK in determining the trends. While trends were detected in approximately 90% of all months in IPTA and ITA with the Significance Test, this rate was only 23% in the MK test. Although the arithmetic mean graphs in the 1-year hydrometeorological cycle are considerably regular at almost all stations, their standard deviations are relatively irregular. The most critical month for trend transitions between consecutive months for all the stations is October, which has an average trend slope of −1.35 and a trend slope ranging from −3.98 to −0.21, which shows a decreasing trend.
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Data Availability
The codes and visualizations required for the study were made in MATLAB 2014a software. The data and code are available from the author (Quoc Bao Pham; phambaoquoc@tdtu.edu.vn) upon reasonable request.
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Murat Şan: writing—original draft and software. Fatma Akçay: formal analysis, visualization, and data curation. Nguyen Thi Thuy Linh: writing—original draft, review, and editing. Murat Kankal: project administration, supervision, review, and editing. Quoc Bao Pham: supervision, review, and editing.
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Şan, M., Akçay, F., Linh, N.T.T. et al. Innovative and polygonal trend analyses applications for rainfall data in Vietnam. Theor Appl Climatol 144, 809–822 (2021). https://doi.org/10.1007/s00704-021-03574-4
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DOI: https://doi.org/10.1007/s00704-021-03574-4