Precipitation change characteristics and trend analysis of Huangtaiqiao hydrologic station in Jinan City, Shandong Province
WANG Zhiyuan1, XIANG Hua1, GUO Yuhan2,3, LIANG Yurong1
1. Jinan Hydrology Bureau, Jinan 250014; 2. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101; 3. University of Chinese Academy of Sciences, Beijing 100049
Abstract：This study applies Mann-Kendall trend test method to analyze the precipitation change characteristics and trend over years at Huangtaiqiao station, and predicts annual precipitation using univariate artificial neural network nonlinear time series model. It is discovered that the annual precipitation of Huangtaiqiao has a slight trend of increase (1.4 mm/10 a), with increasing in spring and summer and decreasing in fall and winter. The precipitations in 2018 and 2019 are predicted by artificial neural network nonlinear time series model, it is discovered that the value is higher than the annual average precipitation of huangtaiqiao station.
2020, Vol. 30 
