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Implementation of Environmental Governance Digitalization

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To deal with complex and intertwined environmental challenges, environmental inspection and enforcement strategies are advancing with the times. By leveraging digital technology, artificial intelligence(AI), and big data analysis, the execution of environmental law enforcement work is streamlined, promoting digitization and intelligence in environmental law enforcement. By actively utilizing new-generation environment management, we are able to enhance the efficiency, effectiveness, and accuracy of environmental enforcement, which effectively deters environmental pollution and illegal activities, safeguards environmental quality, combats unlawful acts, and protects the nation's environment.

  • Digital Technology in Environmental Enforcement

    By integrating the Ministry’s information systems and utilizing big data storage and analysis techniques, we establish a more comprehensive and secure data platform. This includes the main system and subsidiary system APP, which provide inspectors digital inspection system. When identifying suspected pollution locations, Geographic Information System (GIS) is utilized, eliminating the need to switch interfaces in different systems. Inspectors can instantly access abnormal data and display nationwide information in a visualized format. The integration of geographic positioning allows swiftly pinpointing pollution sources in this IMP system.

  • Implementation of National Environmental Enforcement Digitalization

    In line with central-local government cooperation in inspection policies and reforms, we continuously implement inspection digitalization and technology tools. The next generation environmental inspection involves tablets and new digital governance methods. This advancement replaces the traditional practice of inspectors carrying stacks of paper. Now, with a single digital tablet, they can quickly access various pollution-related information and thus enhance operational efficiency. We are gradually extending inspection digitalization practices to local environmental protection bureaus, expanding the scope of environmental inspections. In the future, we will consolidate data from pollution hotspots identified by frontline inspectors in local environmental protection bureaus. This data will be transmitted to an integrated platform (IMP system) and will be used to develop image monitoring systems. These systems will provide rapid alert functions and assist local environmental protection bureaus in real-time and accurate tracking of suspicious activities or pollution-prone areas.

  • Constructing an Environmental Inspection Cloud

    We aim to collect and integrate data from various departments within our organization as well as external systems, automating the comprehensive integration of data from different systems. This enables inspectors to have a one-stop access to relevant data on air quality, water quality, waste management, and hazardous substances, reducing the time spent on data retrieval. We will tailor the data collection to meet the specific needs of inspectors and incorporate GIS systems to display areas with potential environmental burdens, facilitating the rapid identification of pollution sources. To enhance the effectiveness of regional governance, our future plans involve the collection and consolidation of various environmental quality monitoring data, including air, water, soil, groundwater, toxins, and waste. By analyzing this data, we can develop corresponding governance strategies to improve the efficiency of inspections, thus enhancing regional environmental quality and residents' quality of life.

  • Utilizing Artificial Intelligence (AI) Technology to Enhance Technological Enforcement and Environmental Data Analysis

    By leveraging AI technology, we can develop probability inference and analysis models to predict and analyze potential violations, assisting management units in making more accurate decisions and improving operational efficiency. In the future, we will utilize the air quality monitoring network to observe and detect illegal emissions in industrial areas. The water quality monitoring network enables us to identify water quality alerts in cross-regional river basins. Additionally, through the waste disposal monitoring network, we will receive real-time alerts for suspicious vehicles involved in illegal waste disposal. Furthermore, by incorporating visual display panels, inspectors can receive timely and relevant information. Through the integration of AI technology, environmental enforcement efforts can be strengthened, and the analysis of environmental data can be improved, ultimately contributing to better environmental management and protection.

  • Developing Big Data Analytics Logic Module to Strengthen Environmental Enforcement Capabilities

    To meet the requirements of various inspection tasks, we will integrate the senior inspectors’ experience and real case studies to transform inspection expertise into systematic logic modules. By building intelligent deduction and logic analysis modules, we can replace labor-intensive manual data verification and monitoring tasks with information technology and leverage AI to replace a significant amount of efforts. Through the use of big data analytics technology, we can rapidly analyze extensive declaration data and provide information on suspicious violations or potential illegal activities, assisting inspectors in focusing on essential on-site inspection matters. By developing robust big data analytics logic, we can enhance the effectiveness and efficiency of environmental enforcement efforts. This approach enables us to make informed decisions based on data-driven insights and effectively address environmental violations, safeguarding the quality of the environment.

Environmental Management Administration