据世卫估计，在2030年至2050年期间，气候变化将导致全球每年额外增加25万人死亡。 "气候变化正在迅速重塑西太平洋区域的疾病模式，加剧了病媒传播疾病的扩散，同时，高温和空气污 染也让非传染性疾病形势更加严峻。" 人工智能等科技革命为气候与健康相关监测体系完善提供机遇。皮乌卡拉说，鉴于数据大多已数字化， 人们拥有独特的机会将数据与人工智能（AI）等令人兴奋的新技术相结合，以实现海量数据的高效处 理，实现更强大的预测建模，并可以利用地理信息系统（GIS）等强大的数据可视化平台，在正确的时 间作出正确的决策。 他表示，据世卫估计，在2030年至2050年期间，气候变化将导致全球每年额外增加25万人死亡。尽管西 太平洋区域的国家在全球排放中的占比微乎其微，却由于高度城市化、人口老龄化和极端天气事件频发 等原因，该区域公共卫生体系显得尤为脆弱。气候变化正在给包括中国在内的西太平洋区域国家带来广 泛的卫生风险。 同日，世卫发布的最新数据显示，20年前席卷全球的蚊媒病毒——基孔肯雅热病毒正在全球多地扩散， 已有119个国家报告病例，约550万人面临感染风险。该病毒感染的主要症状包括高热、剧烈关节疼痛和 长期疲乏，约40 ...

Group 1 - The current flood season poses significant challenges for flood prevention tasks in many areas, with some regions neglecting flood control efforts during small watershed management, leading to safety hazards and adverse impacts on local flood prevention work [1] - Small watershed management is a comprehensive and systematic project, where flood prevention during the flood season is crucial for the safety of people's lives and property, as well as the effectiveness and long-term stability of the entire management project [1] - Flood prevention should not be conducted in isolation but should be integrated with various measures such as water conservancy law enforcement, ecological restoration, soil and water conservation, and comprehensive water resource utilization [1] Group 2 - Small watersheds often have significant topographical variations and uneven surface coverage, leading to rapid runoff formation after rainfall, which can trigger sudden disasters like flash floods and mudslides [2] - During small watershed management, it is essential to consider the natural geographical features and historical hydrological data of the watershed to design appropriate drainage systems, flood control dams, and diversion channels [2] - Establishing and improving real-time monitoring and early warning systems for rainfall, water conditions, and disasters is crucial for timely information collection, transmission, and analysis to support emergency responses [2] Group 3 - To ensure the long-term effectiveness and systematic nature of flood prevention efforts, it is necessary to strengthen institutional frameworks and technological support [3] - A sound regulatory framework and responsibility mechanism for small watershed management should be established, clarifying the flood prevention responsibilities of various government levels, relevant departments, and social entities [3] - The introduction of modern information technologies, such as remote sensing monitoring, geographic information systems (GIS), and artificial intelligence prediction models, can enhance the scientific and intelligent level of flood prevention decision-making [3]