Abstract
The Amur River Basin is one of the most sensitive areas to the effects of climate change. In this study, spatial and temporal analysis of concentration index over the Amur River Basin in northeast China was presented. Precipitation data from 71 meteorological stations for the time series 1980-2018 on daily scale was employed in the study. The results indicated that precipitation events of low-intensity accounted for 28.59 % of rainy days, however, the proportion of rain amount was 1.33 %. On the contrary, high-and very high-intensity events accounted for 40.34 % of rainy days and as high as 90.53 % of annual precipitation amount. Precipitation concentration explain the cause of why some regions are prone to be influenced by high intensity precipitation events, spatial distribution of different intensities can be partly interpreted by daily rainfall heterogeneity and regional geomorphology. Furthermore, a significant change toward a stronger precipitation concentration was demonstrated over some regions, and this need concern from the administration.
Highlights
The Amur River Basin is one of the biggest major grain producing area and commercial grain base in China
Precipitation data from 71 meteorological stations for the time series 19802018 on daily scale was employed in the study
Precipitation events with amount higher than the 90th percentile for rainy days are classified as extreme events
Summary
The Amur River Basin is one of the biggest major grain producing area and commercial grain base in China. The basin is a typical climate vulnerable zone and one of the most sensitive areas to the effects of climate change. Some research have been carried out in Amur River Basin on precipitation change, few research pay attention to the statistical structure of daily precipitation in recent years. This study analyzed the spatial and temporal distribution of concentration index in the Amur River Basin of northeast China. Precipitation data from 71 meteorological stations for the time series 19802018 on daily scale was employed in the study. The results could help better understanding the impact of climate change on precipitation and provide scientific support to soil and water conservation and flood prevention
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