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| Construction of a long-term factor observation system for the“Yuhuan Future Village”based on space-air-ground integrated sensing |
| Received:December 02, 2025 |
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| KeyWord:rural living environments;smart village;space-air-ground integrated sensing;environmental monitoring;construction paradigm |
| Author Name | Affiliation | E-mail | | SHEN Feng | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
Key Laboratory for Rural Toilet and Sewage Treatment Technology, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | | | YANG Shuai | Department of Research Management of CAAS, Beijing 100081, China | | | BIAN Jinghao | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
Key Laboratory for Rural Toilet and Sewage Treatment Technology, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | | | XIE Pei | Department of Research Management of CAAS, Beijing 100081, China | | | LIU Fang | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
Key Laboratory for Rural Toilet and Sewage Treatment Technology, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | | | LIU Tao | Department of Research Management of CAAS, Beijing 100081, China | liutao@caas.cn | | WANG Qiang | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
Key Laboratory for Rural Toilet and Sewage Treatment Technology, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | wq319320@126.com |
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| Abstract: |
| Against the backdrop of rural revitalization and emerging demands for rural environmental development, this study proposes the “Yuhuan Future Village”as an innovative digital-intelligence-enabled research paradigm for long-term driving-factor observation. This paradigm is developed to address persistent challenges in rural living-environment improvement, including unclear pollution baselines, lagging monitoring technologies, and difficulties in integrating multi-source data. Oriented toward the needs of future-village development, the proposed paradigm establishes a three-stage, progressive theoretical framework comprising source observation, process analysis, and terminal decision-making. Specifically, the source observation stage integrates satellite remote sensing, UAV aerial surveys, and ground-based sensor networks to develop a space - air - ground integrated sensing system, enabling real-time, multi-scale acquisition of environmental factors. The process analysis stage leverages big data, cloud computing, and machine learning to build a smart cloud analytics platform and digital-twin models, thereby supporting deep data fusion and dynamic interpretation. The terminal decision-making stage incorporates an intelligent decision hub to deliver targeted early warnings and evidence-based decision support, enhancing the proactivity and effectiveness of environmental governance. In conjunction with the construction planning and governance requirements of the“Yuhuan Future Village”, this study systematically developed and verified the technical pathway and operational mechanism of the proposed paradigm, providing theoretical and technical support for intelligent rural environmental governance and sustainable development. |
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