A Study on the Online Attention of Emergency Events of Torrential Rain in Shanxi and Henan
2. Materials and Methods
2.1. Research Areas
2.1.1. Site Description (Shanxi Province)
2.1.2. Overview of Heavy Rainfall Disaster in Shanxi
2.1.3. Site Description (Henan Province)
2.1.4. Overview of Heavy Rainfall Disaster in Henan
2.2. Data Sources
2.3. Research Methods
2.3.1. Geographical Concentration Index (G)
2.3.2. Coefficient of Variation
2.3.3. Moran’s I Index
3. Results and Discussion
3.1. Analysis of the Temporal Difference in Flooding Internet Attention in Shanxi and Henan
3.1.1. Daily Differences in National Internet Attention
3.1.2. Comparative Analysis of Online Attention by Province Nationwide
3.1.3. Weekly Difference in Internet Attention between Shanxi and Henan Torrential Rain
3.2. Spatial Distribution Characteristics of the Flood Situation in Shanxi and Henan
3.2.1. Provincial Level
3.2.2. Municipal Level
3.2.3. Spatial Agglomeration Analysis
3.3. Analysis of the Factors Influencing the Internet Attention of the Flood Situation in Shanxi and Henan
- The GDP size, population size, literacy level, age structure, and Internet penetration rate are all significantly and positively correlated with the Internet concern for the torrential rain in Shanxi and Henan at the confidence level of p < 0.01. GDP per capita is positively correlated with the Internet concern for the torrential rain in Shanxi at the confidence level of p < 0.05. This indicates that the higher the economic level, the larger the population, the higher the quality of the population, and the better the Internet informatization, the higher the concern for the torrential rain in these two provinces. This indicates that the higher the economic level, the larger the population and the better the quality of the population, and the better the network informatization, the higher the level of concern about the torrential rain in these two provinces. This is in line with the characteristics of the distribution of network concern in each province analyzed in the previous section, and the provinces in the eastern region with the highest level of network concern are both economically and populated provinces, such as Shandong, Jiangsu, Zhejiang, and Guangdong, and their per capita education level is also higher than that in the central and western regions.
- The distance between the two places and the online attention of the sudden torrential rain in the two provinces showed a negative correlation at the confidence level of p < 0.05, with the correlation coefficients of −0.421 and −0.381, respectively. It can be seen that the further the distance from Shanxi and Henan, the lower the online attention of the sudden torrential rain. For example, Hainan is 1991.8 km and 1670.6 km away from Shanxi and Henan, respectively, and its internet attention is 160 and 632, respectively, while Shandong is 426.5 km and 379.9 km away from Shanxi and Henan, respectively, and its internet attention is 900 and 6794, respectively, indicating that the internet attention of Shanxi and Henan torrential rain is in line with the law of distance decay.
3.4. Limitation of the Study
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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|Week 1||Week 2||Week 3|
|Geographical concentration index (G)||1.55||1.63||6.92||2.02||8.25||1.78|
|Coefficient of variation (CV)||0.6537||0.7575||0.4972||0.6529||0.4004||0.5400|
|Pearson Correlation||Significance (Bilateral)||Pearson Correlation||Significance (Bilateral)|
Level of development
GDP per capita
|Population size||0.599 **||0.000||0.859 **||0.000|
|Education level||Junior High School||0.591 **||0.000||0.806 **||0.000|
|High School||0.622 **||0.000||0.835 **||0.000|
|Tertiary and above||0.758 **||0.000||0.920 **||0.000|
|Age structure||Under 14 years||0.500 **||0.004||0.737 **||0.000|
|15–64 years||0.612 **||0.000||0.850 **||0.000|
|65 years and over||0.555 **||0.001||0.780 **||0.000|
|Internet penetration rate||0.474 **||0.007||0.475 **||0.007|
|Spatial distance||Geographical distance||−0.421 *||0.20||−0.381 *||0.038|
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Guo, X.; Yao, H.; Chen, X.; Li, Y. A Study on the Online Attention of Emergency Events of Torrential Rain in Shanxi and Henan. Water 2022, 14, 2183. https://doi.org/10.3390/w14142183
Guo X, Yao H, Chen X, Li Y. A Study on the Online Attention of Emergency Events of Torrential Rain in Shanxi and Henan. Water. 2022; 14(14):2183. https://doi.org/10.3390/w14142183Chicago/Turabian Style
Guo, Xiaojia, Huilin Yao, Xingpeng Chen, and Ya Li. 2022. "A Study on the Online Attention of Emergency Events of Torrential Rain in Shanxi and Henan" Water 14, no. 14: 2183. https://doi.org/10.3390/w14142183