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28 December 2020 Exploring Distribution Rules and Variation Trends of Precipitation in the Upper Lijiang River from 1951 to 2016, Guangxi Province, China
Hailun Wang, Wende Yan, Jinye Wang, Wenjun Duan
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Abstract

Wang, H.; Yan, W.; Wang, J., and Duan, W., 2020. Exploring distribution rules and variation trends of precipitation in the upper Lijiang River from 1951 to 2016, Guangxi Province, China. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 1–5. Coconut Creek (Florida), ISSN 0749-0208.

Based on the relevant modules of ArcGIS 10.5 platform, the singly independent precipitation datum of 25 hydrological and meteorological observation stations from 1960 to 2016 was converted into areal datum of different statistical units through multiscale transformation to study change rules and trends of precipitation in the upper Lijiang River. The variation coefficient and Mann-Kendall test methods were applied to analyzing the difference and significance of precipitation. According to the study, precipitation distribution within a year was highly uneven with an obvious difference between the rainy and dry seasons; the interannual changes of precipitation showed a slightly increasing trend in the high and low interlaced. The increasing trends of precipitation during the rainy season and decreasing during the dry season will further aggravate the contradiction between water resource shortages during the dry season and increasing flooding disasters during the rainy season in the Lijiang River basin.

©Coastal Education and Research Foundation, Inc. 2020
Hailun Wang, Wende Yan, Jinye Wang, and Wenjun Duan "Exploring Distribution Rules and Variation Trends of Precipitation in the Upper Lijiang River from 1951 to 2016, Guangxi Province, China," Journal of Coastal Research 105(sp1), 1-5, (28 December 2020). https://doi.org/10.2112/JCR-SI105-001.1
Received: 18 June 2020; Accepted: 30 June 2020; Published: 28 December 2020
KEYWORDS
Mann-Kendall test
trends analysis
variation coefficient
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