Temporal-spatial and non-stationarity characteristics of extreme precipitation in the Poyang Lake Basin, China

doi:10.13287/j.1001-9332.202109.017

Chinese Journal of Applied Ecology ›› 2021, Vol. 32 ›› Issue (9): 3277-3287.doi: 10.13287/j.1001-9332.202109.017

• Original Articles • Previous Articles Next Articles

Temporal-spatial and non-stationarity characteristics of extreme precipitation in the Poyang Lake Basin, China

LEI Xiang-yong¹, GAO Lu^1,2,3*, MA Miao-miao^4,5, DANG Hao-fei⁶, GAO Jian-yun⁶

¹Institude of Geography, Fujian Normal University, Fuzhou 350007, China;
²Fujian Provincial Engineering Research Center for Monitoring and Accessing Terrestrial Disasters, Fuzhou 350007, China;
³Cultivation Base of State Key Laboratory of Subtropical Mountain Ecology, Fuzhou 350007, China;
⁴China Institute of Water Resources and Hydropower Research, Beijing 100038, China;
⁵Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038, China;
⁶Fujian Key Laboratory of Severe Weather, Fuzhou 350001, China

Received:2021-03-17 Accepted:2021-06-11 Online:2021-09-15 Published:2022-03-15
Contact: * E-mail: l.gao@foxmail.com
Supported by:
National Key Research and Development Program of China (2018YFE0206400), the Scientiﬁc Project from Fujian Provincial Department of Science and Technology (2019R1002-3), the Scientiﬁc Project from Fujian Key Laboratory of Severe Weather (2020KFKT01) and the Outstanding Young Scientiﬁc Research Talents Cultivation Program of Fujian Province.

Abstract

Abstract: Extreme weather/climate events increased significantly because of global warming. Based on daily records from 16 meteorological stations in the Poyang Lake Basin (PLB) from 1959 to 2019, we comprehensively investigated the temporal-spatial and non-stationarity characteristics of extreme precipitation from three dimensions (intensity, frequency and duration) using PreWhite-ning Mann-Kendall (PWMK), extreme-point symmetric mode decomposition method (ESMD) and the generalized additive models for location, scale and shape (GAMLSS). The results showed that the intensity and frequency of extreme precipitation increased significantly in the PLB, while the duration of extreme precipitation decreased from 1959 to 2019. The extreme precipitation had features of high intensity, high frequency, and short duration in the PLB. There was a clear distinction between flood season and non-flood season for extreme precipitation. Extreme precipitation was concentrated in the northern and central PLB during the flood season and in the central PLB during the non-flood season. The increasing trend of extreme precipitation amount was 2.10 mm·a^-1 in the Xinjiang basin, which had the largest increment over the PLB. In the flood season, the extreme precipitation had longer duration but weaker intensity and smaller range, contrasting with the status during the non-flood season. The intensity and frequency of extreme precipitation showed stationarity characteristics in the PLB. However, the duration of extreme precipitation showed non-stationarity characteristics. With the continuous increase of extreme precipitation amount, the risk of related disasters would increase.

Key words: Poyang Lake Basin, extreme precipitation, non-stationary, temporal-spatial variation, disaster risk

LEI Xiang-yong, GAO Lu, MA Miao-miao, DANG Hao-fei, GAO Jian-yun. Temporal-spatial and non-stationarity characteristics of extreme precipitation in the Poyang Lake Basin, China[J]. Chinese Journal of Applied Ecology, 2021, 32(9): 3277-3287.

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Temporal-spatial and non-stationarity characteristics of extreme precipitation in the Poyang Lake Basin, China

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