Coastline climate environment and coastal city English smart teaching simulation based on GIS system

Abstract

This paper makes full use of the advantages of open source software, enhances the advantages of SWMMM model and MapWindow model, and provides ideas and solutions that integrate open source GIS system and professional model software. The basic concepts of SWMMM model and open source GIS system (MapW Indo) are outlined. The GIS platform is the parameter input platform, display platform, and statistical analysis platform of the SWMM model. The SWMM model provides hydropower and water quality modeling modules for the platform. Both data are stored in MongoD B. In addition, the document established a coastline climate environment and ecological environment remote sensing evaluation system as a basis for evaluation based on land use data and 17 types of land use and combined each evaluation result with expert advice and weighted analysis and classification. Each indicator is used to calculate the overall score of each area, as well as the weight and ratio of each factor in each field. With the implementation of Educational Information Action Plan 2.0, the city’s modern education and training reforms are gaining momentum. Smart teaching has become the main focus of reform and innovation in universities and cities in the new century. The proficient smart teaching ability of university teachers is the basic condition necessary to create the professional development of English teachers, create smart classrooms and improve the smart city English education evaluation system, develop smart practical teaching, strengthen inter-school exchanges and cooperation, and widely promote smart teaching of urban English.