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How can technology be used to improve environmental planning? 


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Technology can be used to improve environmental planning by incorporating artificial intelligence (AI) and advanced data analysis techniques. AI, specifically neural network models, can be applied to process and calculate environmental data, providing accurate predictions and comprehensive indices for planning purposes . Geographic Information Systems (GIS), Global Positioning Systems (GPS), remote sensing technologies, and virtual reality (VR) can assist in various aspects of environmental planning, such as spatial analysis, constructing virtual environments, and enhancing the scientificity and rationality of planning . Additionally, the application of AI technology in urban planning and design can optimize the generation of design schemes, improve efficiency, and reduce construction waste . Furthermore, intuitive tools and visualization software can facilitate data-driven decisions and monitoring systems for transboundary air pollution, aiding in the development of effective environmental policies . Overall, technology enables the creation of interactive platforms and analysis tools that support environmental planning, construction project approval, and decision-making processes .

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The paper describes the development of an interactive environmental planning analysis platform based on "Three Lines One Permit" (TLOP) to support environmental planning and construction project approval. The platform uses technology to provide users with environmental planning analysis tools and access to geospatial data and TLOP results data. Therefore, technology is used to improve environmental planning by providing tools and data for decision-making.
The paper discusses the use of visualization software and intuitive tools to facilitate data-driven decisions and guide European air quality strategies for effective environmental policy planning.
The paper proposes an application method of environmental protection building elements based on artificial intelligence technology in the field of urban planning and design. This technology enables agents to learn how to interact with the environment and generate efficient design schemes, reducing construction waste.
The paper discusses how GIS, GPS, remote sensing technologies (3S technologies) and virtual reality (VR) can be used to improve environmental planning.
The paper combines neural network and artificial intelligence technology to improve environmental planning methods by using spatial interpolation analysis and prediction algorithms based on comprehensive index and BP neural network model.

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