With the rapid development of industrialization and urbanization, atmospheric pollution research is vital for regional sustainable development and related policies formulated by the government. Previous studies have mainly studied a single evaluation method to analyze the air quality index (AQI) or single air pollutant. This research integrated the Spearman coefficient (SC) correlation analysis, a random search (RS) algorithm and an excellent extreme gradient boosting (XGBoost) algorithm to evaluate the air pollution influence of industrialization and urbanization (APIIU). Industrialization, urbanization and meteorological indicators were used to measure the influence degree of APIIU on AQI and particulate matter 2.5 (PM_2.5), respectively. The main findings were: (1) the APIIU-AQI and APIIU-PM_2.5 of Henan Province, Hubei Province and Hunan Province had significant changes from 2017 to 2019; (2) the value of square of determination coefficient of real value (R²), the root mean square error (RMSE) and the mean absolute percentage error (MAPE) of APIIU-AQI and APIIU-PM_2.5 in three provinces predicted by the SC-RS-XGBoost were 0.945, 0.103, 4.25% and 0.897, 0.205, 4.84%, respectively; (3) the predicted results were more accurate than using a SC-XGBoost, RS-XGBoost, traditional XGBoost, support vector regression (SVR) and extreme learning machine (ELM).

The rapid development of catastrophe bonds provides a new idea for catastrophe risk dispersion, since its traditional means fail to afford the economic losses caused by the global drought catastrophe. With the deepening of the concept of the community with a shared future for mankind, there is an opportunity to issue global drought catastrophe bonds through international cooperation. Based on the data of global drought catastrophe losses from 1900 to 2018, this paper selects 21 countries as the primary participants of international cooperation and studies the pricing of drought catastrophe bonds by the POT model and high quantile estimation. The results show that the first-class bond has a 10% occurrence probability with the trigger point of $252.54 million, and the second-class one has a 35% occurrence probability with the trigger point being $117.13 million. In line with high quartile estimates, the one-year principal-protected catastrophe bonds with a face value of $1,000 are valued at $957.14 and $939.29, respectively. Besides, the principal portion of the lost bonds is $912.50 and $783.04, while the total of it is $867.86 and $626.79, respectively.

The evaluation of community disaster resilience is of great practical importance for building low-risk, sustainable, and disaster-resistant cities. With 12 communities in Luoyang as the objects, this paper adopts entropy weight TOPSIS and obstacle diagnosis to study the community disaster resilience of Luoyang from seven dimensions, such as demographic characteristics, economic development, and infrastructure. The results of the study are as follows: (1) the community disaster resilience of Luoyang (0.48) is at a medium level. Community capital is the main influencing factor of community disaster resilience. Government governance, community capacity, and community intelligence are the components that need attention in the construction of Luoyang’s community disaster resilience. (2) The community disaster resilience of Luoyang presents a decreasing trend from rural to urban areas. Moreover, communities with high disaster resilience are less than communities with low disaster resilience. (3) The obstacle to community disaster resilience of Luoyang focuses on population, economic development, and infrastructure. In addition, community trust, community dependence, popularization and intellectualization of disaster prevention information, and disaster information sharing also significantly restrict the construction of Luoyang community disaster resilience. (4) According to the results of sensitivity analysis, the entropy weight TOPSIS evaluation results are less sensitive. Moreover, changing the weight value, weight method, and evaluation method will not lead to major changes in the rankings.

To reasonably evaluate and predict the loss of rainstorm and flood disaster, this study is based on the rainfall data and rainstorm and flood disaster data of 18 cities in Henan Province from 2010 to 2020, using GIS technology and weighted comprehensive evaluation method to analyze the risk of rainstorm and flood disaster factors in various regions. The four risk factors of hazard risk, hazard-pregnant environment sensitivity, hazard-bearing body vulnerability, and disaster resilience were analyzed in compartment analysis. At the same time, a new rainstorm and flood disaster prediction model was constructed in combination with the hybrid PSO-SVR algorithm. The research results show that there are many rivers in Henan Province, the terrain tends to be higher in the west and lower in the east, and most areas are low plains, making most cities in Henan Province at a moderate risk level. For the more developed cities such as Zhengzhou, Luoyang, and Nanyang, the hazard risk, sensitivity, vulnerability, and disaster resistance are high, and they are prone to heavy rains and floods. For the economically underdeveloped, the terrain is high or hills, such as Sanmenxia City; Xinyang City and other places have low hazard risk and are not prone to rainstorms and floods. By constructing a hybrid PSO-SVR model, selecting two representative cities of Zhengzhou and Luoyang, and predicting the daily rainfall, the number of disasters, and the direct economic loss, the calculated RMSE and MAPE values are both less than GA-SVR, the traditional SVR, and BPNN models, which have verified the superiority of the model proposed in this study and the practical value it brings. To further verify the prediction accuracy of the hybrid model, the average value of RMSE and MAPE of other 16 cities are calculated, and the result is still smaller than other three models, and the study can provide some decision-making references for the urban rainstorm and flood management.

As the basic unit of residents’ activities and social management, communities are the disaster bearers of various public security emergencies. To improve the ability and level of community governance, as well as to strengthen the construction of resilient communities, a tripartite evolutionary game model of local government, developers, and home buyers is built, and numerical simulation is carried out using Matlab to analyze the impact mechanism of main parameters on the evolutionary stability strategy. The results show that: (1) The three parties’ different initial intentions will lead to different evolutionary stability strategies of the system, and the system’s final evolution result will reach the ideal state only when the initial willingness of developers and buyers is high. (2) The greater the government’s subsidy coefficient and the greater the regulatory intensity, the more likely it is that developers will choose to build resilient communities. (3) Public awareness of disaster prevention and mitigation is an important determinant of the purchase of resilient community housing strategies. To achieve rapid development of resilient communities, the intensity of regulation must be continuously improved, the public’s awareness of disaster prevention and mitigation must be strengthened, and the government’s regulatory costs must be reduced.

Economic development highly depends on resources and the environment, especially in the Yellow River Basin (YRB), a crucial ecological protection and high-quality development pilot zone in China. Thus, evaluating high-quality economic development (HQED) and its decoupling relationship with the resource environment is conducive to planning future regional development. First, this paper used the two-stage entropy method to measure the high-quality economic development of cities in the YRB from 2010 to 2019. Then, the comprehensive decoupling analysis of the resource environment and high-quality economic development was carried out based on the Tapio decoupling model. The results showed that: (1) The high-quality economic development level improved slowly in the YRB. Nevertheless, the resource and environmental pressure gradually decreased. (2) Compared with the resource decoupling index, the environmental decoupling index had a greater impact on the comprehensive decoupling index in the YRB. The strong decoupling displayed a spatial diffusion trend from point to surface. (3) Despite the decoupling types having a positive transfer trend in the YRB, the decoupling states of cities fluctuated considerably, and the phenomenon of recoupling occurred frequently. According to the above findings, this study put forward some policy recommendations for achieving strong decoupling in the YRB.