Research on Construction Method of Urban Simulated Rainfall Station Based on Sina Weibo Geographical Location Data

Abstract

Abstract In recent years, with the continuous improvement of the level of urbanization, the phenomenon of urban infighting has intensified. At present, urban rainfall data is mainly measured by rainfall stations, while the number of traditional rainfall stations and their uneven distribution result in the inability to obtain high-precision surface rainfall data. With the advent of the era of big data, more and more experts and scholars have applied big data to the research of natural disasters. Therefore, this article uses web crawler technology to obtain Sina Weibo data with geographic location information. By analyzing the correlation between the number of micro-blogs related to rainfall and the rainfall of the field, establishing the relationship between the two functions, and constructing the simulated rainfall station in the urban area of Zhengzhou City, more refined surface rainfall data can be obtained by interpolation. The experimental results show that the method of construction of simulated rainfall station can effectively improve the accuracy of interpolation through traditional rainfall stations.