Water conservancy big data can do what is introduced as follows:

One, water resource management

Water resources is the basis of human survival and development, rational management of water resources for the sustainable development of society is essential. Big data analysis can realize the comprehensive understanding and scientific management of water resources through the collection, processing and analysis of various types of hydrometeorological data. Through big data analysis, the trend of water supply and demand can be predicted based on geographic location, rainfall, evaporation, soil moisture and other factors, so as to make reasonable scheduling and planning in advance.

Two, flood warning and emergency response

Flooding is a common natural disaster in the water conservancy industry, which brings great losses to people's life and property. Big data analytics can accurately predict the probability of occurrence and scope of impact of natural disasters such as floods and droughts by analyzing historical hydrological data, satellite remote sensing data, sensor data and so on. At the same time, big data analytics can also monitor water levels, rainfall and other indicators in real time, providing comprehensive flood warning information and assisting relevant departments and the public to take timely and effective emergency measures.

Three, water quality monitoring and governance

Water quality is an important indicator of the degree of purity of the water body, which has an important impact on human health and ecological environment. Big data analytics can grasp the water quality situation in real time by monitoring the dissolved oxygen, ammonia nitrogen, total phosphorus and other indicators in the water body. Water quality monitoring system based on big data analysis can timely warn of water pollution, and assist the relevant departments to take governance measures to ensure the safety of drinking water and the sustainable development of the water environment.

Four, hydroelectric power optimization

Hydroelectric power is a kind of clean energy, which is of great significance for reducing carbon emissions and protecting the environment. Big data analysis can optimize the operational efficiency of the power generation system through real-time monitoring and analysis of water level, water flow rate, power generation efficiency and other data in the process of hydropower generation. Through big data analysis, predictive maintenance of power generation equipment can be realized, reducing failures and downtime, and improving power generation efficiency and economic benefits.

V. Project Evaluation and Decision Support

In the process of water conservancy project construction, big data analytics can provide key data support for risk analysis and cost-benefit assessment in the project evaluation and decision-making process. By analyzing historical and real-time data, the feasibility and environmental impact of a project can be assessed, providing a scientific basis for decision makers to ensure the smooth implementation of the project and the evaluation of its effectiveness.

In summary, the application of big data analytics in the water conservancy industry covers a wide range of fields such as water resource management, flood early warning and emergency response, water quality monitoring and management, hydropower optimization, and project evaluation and decision support. With the continuous progress of technology, the application of big data analytics in the water conservancy industry has a broad prospect and will certainly bring new opportunities and challenges to the development of water conservancy.