Precipitation trend identification with a modified innovative trend analysis technique over Lake Issyk-Kul, Kyrgyzstan
نویسندگان
چکیده
Abstract The main concern of this study is using a new type innovative trend analysis (ITA) method with particular graphical illustration. It compares the results classic MK test at 95% confidence level. Among 15 annual and seasonal data series (3 weather stations annually, spring, summer, autumn, winter) studied, found significant increasing trends 3 (20%). However, ITA method, 6 (40%) ‘high’ ‘low’ simultaneously showed trend. can also detect all identified by test. As for values 12 (80%) exhibited patterns, 9 (60%) displayed patterns values. According to values, gain one (6.7%) manifested decreasing trends. These detailed precipitation evaluating findings demonstrated that runs counter previous ITA.
منابع مشابه
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ژورنال
عنوان ژورنال: Journal of Water and Climate Change
سال: 2023
ISSN: ['2040-2244', '2408-9354']
DOI: https://doi.org/10.2166/wcc.2023.413