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In my country’s urban development system, the urban development of the Beijing-Tianjin-Hebei region has driven the overall economic development of our country, but the environmental problems in these areas have gradually become the main concern of people. In the course of development in recent years, the rapid development of our country’s economy has provided effective help for our country’s comprehensive national strength and also brought considerable income to our residents. However, our country’s current economic development model still maintains extensive development. Mode, this economic development mode easily leads to rapid consumption of resources, severe damage to the ecological environment, and adverse effects on regional development. During the development of the Beijing-Tianjin-Hebei region, the early industrial development and engineering construction led to a gradual decline in the quality of urban air and drinking water. The air and tap water that people breathe every day are polluted by substances produced by industrial development. In the future development process, people must pay attention to the environmental development of the Beijing-Tianjin-Hebei region. This article borrows the stepwise regression analysis method to collect environmental development data in the Beijing-Tianjin-Hebei region and uses the data to construct a statistical forecast model. Through specific analysis, it is proved that the model constructed by the study has a good prediction of the pollutant content in the city. The effect can provide good help for environmental protection and pollution prevention in the Beijing-Tianjin-Hebei region. [ABSTRACT FROM AUTHOR]

In the research on the economic loss of the carrying capacity of the tourism industry caused by flood disasters, some domestic and foreign scholars have conducted many years of research and have achieved certain results. The most commonly used model at present is mainly based on the historical data of the local urban tourism industry and calculates the economic loss of the environmental carrying capacity of the urban tourism area based on aquatic elements, submersion time, etc. However, although the model can provide some help, it still has shortcomings. The economic loss predicted by the model is quite different from the actual loss. In view of this situation, a model of the economic loss of the environmental carrying capacity of urban tourist areas due to flooding is designed to provide technical support for the assessment of the economic loss of the environmental carrying capacity of urban tourist areas. In this context, this article combines early warning theory, sustainable development theory, urban biology theory, urban environmental theory, and urban function and design planning theory into the economic loss model of environmental carrying capacity based on the research of relevant experts. Experts at home and abroad have used system dynamics simulation methods to establish environmental carrying capacity economic loss models based on the research results of domestic and foreign tourism environmental carrying capacity to study the environmental carrying capacity of coastal areas in our country. Based on the research results, it puts forward relevant suggestions to improve the environmental carrying capacity of coastal cities in our country, optimizes the early warning system of coastal cities' environmental carrying capacity, and relieves the environmental pressure of coastal scenic spots, thereby promoting the tourism development, economic development, urban planning and environmental protection for coastal scenic spots. [ABSTRACT FROM AUTHOR]