Spatial-temporal Evolution Characteristics and Influencing Factors of Network Attention to the Japan's Discharge of Nuclear Contaminated Water into the Sea
Based on the city-level baidu index, an exploratory spatial data analysis method is used to charac-terize the spatio-temporal evolution and spatial correlation characteristics of the network attention to nuclear contam-inated water discharge into the sea in Japan, and geographical detector are applied to reveal the influencing factors. The results show that:(1) The attention on Japan's nuclear contaminated water discharge network exhibits a"in-verted V-shaped"evolution trend, with a spatial pattern characterized by an"east high, west low"trend. At a lo-cal level, it is manifested as a"core-edge"structure with provincial capitals as the core and non-provincial capital cities as the periphery. (2) The attention on Japan's nuclear contaminated water discharge network demonstrates spatial positive correlation, with significant"high-high"and"low-low"agglomeration characteristics. Cities of the"high-high"type are concentrated in a"cluster"distribution in the eastern coastal areas such as the Yangtze River Delta, Pearl River Delta, and Beijing-Tianjin-Hebei region. Meanwhile, cities of the"low-low"type are concen-trated in a"plate"distribution in the western regions of Yunnan, Sichuan, Gansu, Ningxia, Inner Mongolia, and areas west of the first line. (3)The spatiotemporal evolution pattern of attention on Japan's nuclear contaminated water discharge network is jointly influenced by various factors including the level of local economic development, the intensity of news media publicity, population size, and the level of internet development.
NETL
NSTL
万方数据
