Research on the Audit Rules for National Mountain Flood Disaster Survey and Evaluation Results of Key Towns and Villages

• Published in: Water (Basel) Vol. 17; no. 6; p. 773
• Main Authors: Xie, Min, Qi, Shuwen, Dou, Yanhong, Zhang, Xiaolei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 07.03.2025
• Subjects: Accuracy; Analysis; Audits; Automation; China; Climate change; Disasters; Distribution; Emergency communications systems; Emergency management; Environmental aspects; Floods; Geographic information systems; Identification and classification; Mountains; Prevention; Process controls; Rationality; Software; Towns; Villages; China
• DOI: 10.3390/w17060773
• ISSN: 2073-4441

In recent years, there have been frequent extreme weather events that defy traditional understanding. Specifically, mountain flood disasters can cause significant loss of life due to their sudden onset and destructive power. The 7.21 flood event in Xingyang, Zhengzhou, China, recorded a maximum 6 h precipitation of 240.5 mm in the Suo River basin, corresponding to a 500-year return period, and causing fatalities and substantial damage. The central government of China has launched supplementary mountain flood disaster surveys and evaluations involving key towns and villages, following an initial round of surveys in riverside villages, to improve foresight and response capabilities for mountain flood disaster risks under extreme conditions. This paper introduces the contents of the national mountain flood disaster surveys and evaluations of key towns and villages, elaborating on the principles, content, and rules for auditing the national survey and evaluation results. This paper innovatively proposes professional audit criteria, such as early warning indicators, monitoring facility correlations, and hazard zoning, based on a formal audit of the data quality. The implementation of professional audit criteria improved the data accuracy by 85% and reduced false alarms by 40%, enhancing the overall effectiveness of mountain flood disaster prevention. The analysis of the audit results suggests that the audit rules for the survey and evaluation results of key towns are scientific, reasonable, and effective, achieving the expected goals of data quality control. This approach can effectively enhance the practical value of the survey and evaluation outcomes for key towns, laying a solid data foundation for transforming flood disaster prevention from merely “existing” to “optimal”.