To reveal the historical precipitation changes and trends in Ningxia region,the article used sliding average method,primary linear tendency method,precipitation concentration method,super-quantitative method,inverse distance weight interpolation method and MLP neural network to process and analyze the precipitation data from 12 meteorological stations in Ningxia region during 1955-2019.The results show that annual precipitation in Ningxia decreases from south to north,with fluctuating inter-annual precipitation and a slow increasing trend in terms of changes in average precipitation over the years;Most of the extreme precipitation events occurs in the Southern Loess Hilly Region;From the prediction results,it is less likely that Ningxia will enter the precipitation dry period between 2020 and 2025,and the precipitation after linear sliding and the precipitation predicted by MLP neural network both reach the multi-year average precipitation value.
precipitationspatiotemporal changeprecipitation predictionextreme precipitationconcentration index
国家科技期刊平台
NSTL
维普
万方数据
