透過您的圖書館登入
IP:18.225.209.95

摘要


In this paper, we study the amount, intensity, frequency and type of precipitation. Specifically, we use MK test and Morlet wavelet analysis to analyze the annual variation characteristics of precipitation. In addition, we establish two prediction models of ARIMA and LSTM, and simulated the related weather data. Finally, by integrating data, we put forward the long-term construction planning proposals for cities under extreme precipitation conditions in the areas of extreme weather warning and urban infrastructure.

參考文獻


Luo Jianwei. Analysis of rainfall time change characteristics in Binchuan County, Yunnan Province [J]. Shaanxi water conservancy, 2020(11):29-32.
Lu Zhiyi, Nie Weicong, Chen Lizhen. Prediction of urban rail transport flow based on ARMA model [J]. Henan Science, 2018, 36 (5): 646-651.
Li Dekui, Du Shubo, Zhang Peng. Based on the comparison of the urban rail transit delay passenger flow prediction method based on ARIMA and LSTM [J]. Journal of Qingdao University of Technology, 2021, 42(04):135-142.
NOAA's National Centers for Environmental Information webstation. url: https://www.ncei.noaa.gov/ access/search/data-search/global-summary-of-the-month?b box=53.544,73.620,18.198,134.761&place= Country:194&pageNum=19, Team # 202110306619 Page 24 of 25.
Ye Minghua, Chen Kang. Urban disaster risk: meteorological characteristics, loss status and management measures optimization--Take Zhengzhou "7-20" heavy rain and typhoon "fireworks" as an example [J]. Shanghai Insurance, 2021(08):18-22.

延伸閱讀