Study on multi-time scale variation rule of rainfall during flood season in Jilin Province in recent 65 years
Lin Ma, Na Wei, Jiancang Xie, Kaibin Lu
Abstract
Open-access reader
Lin Ma, Na Wei, Jiancang Xie, Kaibin Lu
Abstract
Open-access reader
A total of 65-year rainfall data collected from 30 meteorological stations in Jilin Province during 1951 to 2015 was analysed by sliding average method, anomaly analysis method and Mann-Kendall mutation test, combined with MapInfo, ArcGIS software and R language drawing tool. The interdecadal, interannual and annual variation characteristics of rainfall in flood season in Jilin Province were used to reveal the multi-time scale characteristics of rainfall variation and the periodic variation and mutation points of rainfall sequences at different time scales. The results show that: 1) the interdecadal and interannual rainfall in Jilin Province shows a trend of fluctuating downward, especially in the 21st century, the decline in rainfall is more significant, and the sudden change points of annual precipitation occur in 1983 and 1992; 2) the monthly rainfall in flood season shows a significant downward trend, all but a small decline in June; 3) the rainfall during the flood season is mainly concentrated in July and August, accounting for 65% of the total rainfall during the flood season. The average proportion in September is the lowest, only 13%. In addition, the proportion of rainfall in June in the whole flood season has an increasing trend, that is, the rainfall in flood season is ahead of schedule; 4) the average rainfall intensity of each month in flood season shows an upward trend, and the decreasing rate of rainfall days is greater than that of rainfall.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A total of 65-year rainfall data collected from 30 meteorological stations in Jilin Province during 1951 to 2015 was analysed by sliding average method, anomaly analysis method and Mann-Kendall mutation test, combined with MapInfo, ArcGIS software and R language drawing tool. The interdecadal, interannual and annual variation characteristics of rainfall in flood season in Jilin Province were used to reveal the multi-time scale characteristics of rainfall variation and the periodic variation and mutation points of rainfall sequences at different time scales. The results show that: 1) the interdecadal and interannual rainfall in Jilin Province shows a trend of fluctuating downward, especially in the 21st century, the decline in rainfall is more significant, and the sudden change points of annual precipitation occur in 1983 and 1992; 2) the monthly rainfall in flood season shows a significant downward trend, all but a small decline in June; 3) the rainfall during the flood season is mainly concentrated in July and August, accounting for 65% of the total rainfall during the flood season. The average proportion in September is the lowest, only 13%. In addition, the proportion of rainfall in June in the whole flood season has an increasing trend, that is, the rainfall in flood season is ahead of schedule; 4) the average rainfall intensity of each month in flood season shows an upward trend, and the decreasing rate of rainfall days is greater than that of rainfall.
Key concepts: Flood myth, Variation (astronomy), Scale (ratio), Environmental science, Hydrology (agriculture), Geography, Physical geography, Geology