小流域治理也不能忘了防洪

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]