水质监测中采样和数据合理性检查研究

Study on Sampling and Data Rationality Inspection in Water Quality Monitoring

摘要: 水质监测是水污染治理、水生态保护及水资源管理的核心技术支撑，其数据的准确性与代表性直接决定了水环境决策的科学性与有效性。水质监测涵盖了“采样–样品保存–前处理–分析–验证”的系统性过程，在传统质量管理中，更加重视“人、机、料、法、环、测”，即从人员是否持证上岗、仪器是否溯源、试剂是否符合要求、方法是否适配、检测是否合格等方面进行控制。然而，采样是数据的源头，合理性检查是数据的最后防线。本文聚焦于基层实验室水质监测中易被忽视的环节，系统探讨其控制要点与实施路径，为提升水质监测数据质量提供依据和参考。

Abstract: Water quality monitoring serves as the core technical support for water pollution control, aquatic ecological protection and water resource management. The accuracy and representativeness of its data directly determine the scientificity and effectiveness of water environment-related decisions. Water quality monitoring involves a systematic process of “sampling-sample preservation-pretreatment-analysis-verification”. In traditional quality management, greater emphasis is placed on the “6M factors” (Man, Machine, Material, Method, Milieu, Measurement), which means conducting control from aspects such as whether personnel hold valid certificates for their posts, whether instruments are traceable, whether reagents meet requirements, whether methods are suitable, and whether testing results are qualified. However, sampling is the source of data, and rationality inspection is the final line of defense for data. This paper focuses on the easily overlooked links in water quality monitoring of primary-level laboratories, and systematically discusses their control key points and implementation paths, and provides a basis and reference for improving the quality of water quality monitoring data.