T/XJBX 0158-2025 Technical Specification for Flood Risk Analysis and Early Warning Based on Big Data in Water Resources and Hydropower Engineering

Scope

In recent years, the frequency and intensity of extreme rainfall events have been on the rise. Coupled with changes in the underlying surface of watersheds, accelerated urbanization, and the increasing complexity of joint dispatching of engineering groups, the flood prevention risks of water conservancy and hydropower projects have exhibited new characteristics of "multi-source coupling, rapid evolution, chain amplification, and spillover effects". Traditional flood prevention risk assessment and early warning often rely on a small number of hydrological stations and empirical thresholds, with problems such as insufficient data coverage, limited spatial and temporal resolution, delayed risk identification, inconsistent early warning standards, and difficulty in conducting joint risk assessments of key facilities (gates, actuators, power supply and communication, seepage and deformation of dam bodies, etc.). Big data technology can achieve a leap in capability from "monitoring and perception" to "identification, prediction, early warning, and response suggestions" by integrating multi-source heterogeneous data such as meteorological radars and satellite remote sensing, rainfall and water level station networks, video and IoT sensors, equipment operation logs, inspection work orders, historical hazard and disaster situations, and dispatching commands, and combining methods such as time series modeling, spatial analysis, machine learning, and digital twins. However, in engineering applications, there are still widespread risks such as imperfect data governance, uncontrollable data quality, insufficient model interpretability, missing threshold systems, disjointed early warning triggering and response mechanisms, and inadequate network and data security measures, which directly constrain the standardized implementation and sustainable operation of the technology. This document aims to address the flood prevention risk analysis and early warning needs of water cons

Development Information

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