Strategy and practice for enhancing the quality of monitoring data in small reservoirs at provincial scale. Application to Guangxi province, China

Abstract

ABSTRACTSince 2021, China has been actively promoting the Small Reservoir Monitoring Facility Project. However, due to varying levels of expertise among the participating contractors and unclear data review standards, the quality of monitoring data has been unsatisfactory. To improve the quality of the monitoring procedure, this study has implemented a series of measures. Many data review methods and rules have been established as well as automated and manual tools. Then, some statistical analysis were created to evaluate data quality and promptly address any issues. At the end, a mechanism for data review and rectification was created. With those measures, the automatic review can improved data quality and accuracy by approximately 60%. A total of over 11.178 million data were reviewed, with 59,000 data corrected, accounting for 0.05% of the total data. The data quality of 20 small reservoirs in Guangxi has significantly improved, providing reliable information to maximize the effectiveness of the existing monitoring facilities. The findings of this study not only contribute to the foundation of reliable data for future, as well as the development of forecasting and warning systems, but also offer valuable experiences for improving data quality in similar monitoring projects at different levels.

Keywords

• Dam safety monitoring
• data analysis
• rectification
• statistical analysis parameters
• monitoring data quality
• Surveillance de la sécurité des barrages