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| 骆马湖蓝藻监测预警平台研发与应用 |
| Development and Application of A Monitoring and Early warning Platform for Blue Green Algae in Luoma Lake |
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| DOI： |
| 中文关键词: 蓝藻 监测预警平台 应急决策 骆马湖 |
| 英文关键词: Blue green algae Monitoring and earlywarning platform Emergency decision Luoma Lake |
| 基金项目:国家重点研发计划基金资助项目（2023YFD1702104）；国家自然科学基金资助项目（42101433）；新沂市骆马湖生态环境监测监控能力建设基金资助项目（JSZC-320381-JQXM-G2024-0004） |
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| 中文摘要: |
| 针对骆马湖蓝藻监测与预测研究基础薄弱、核心数据匮乏，难以支撑科学防控与应急响应的问题，通过整合卫星遥感、摄像头、无人机等监测手段，构建了骆马湖蓝藻“天〖CD*2〗空〖CD*2〗地”多手段协同监测网络，实现了蓝藻“现状快速获取、聚集智能识别”的目标。在此基础上，构建了基于遥感大数据、水文气象资料与人工智能技术的蓝藻暴发经验预测模型，在基础数据缺乏的条件下实现了像元尺度的蓝藻暴发风险预测和风险区域识别。通过集成协同监测、预测预警等功能模块，研发了骆马湖蓝藻监测预警平台，实现了湖区水质和蓝藻现状迅速掌握、超标智能识别、趋势精准预测、风险动态评估等功能。 |
| 英文摘要: |
| In view of the insufficient research foundation and lack of core data for blue green algae monitoring and prediction in Luoma Lake，which hindered scientific prevention and emergency response，by using satellite remote sensing，cameras and unmanned aerial vehicles，a multi means collaborative monitoring network of “Space Air 〖JP2〗Ground” was established for blue green algae in Luoma Lake to achieve the goals of rapid understanding the status and intelligently identifying the aggregation of blue green algae. On this basis，an empirical prediction model for blue green algae bloom was constructed based on remote sensing big data，hydro meteorological data and artificial intelligence technology，achieving risk prediction and risk area identification of blue green algae bloom at the pixel scale in the absence of basic data. 〖JP2〗By integrating functional modules of collaborative monitoring，prediction and early warning，〖GK!87mm〗a monitoring and early warning platform for blue green algae in Luoma Lake was developed，enabling rapid understanding of water quality and blue green algae status in the lake area，intelligent identification of exceedances，accurate prediction of trends and dynamic assessment of risks. |
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