KCFs识别法的建立及其在引黄饮用水中的应用

建立了饮用水供应链关键控制因子(KCFs)风险识别的方法,该方法以饮用水供应链中监测数据标准化为统一指数的基础,利用改进的主成分分析摒弃冗余信息,将饮用水安全风险因子的识别范围缩小到对水质起决定作用的KCFs中,从而实现快捷、准确的识别。将该方法应用于山东部分引黄饮用水供应链识别风险因子中,发现除微生物与有机物为引黄饮用水的潜在风险外,氟化物和硫酸盐也会产生明显的风险,而此前未见报道。对水质的影响由强到弱依次为水处理效果、原水水质、管网污染。最后,提出了引黄饮用水安全影响清单及应采取的措施,并分析了KCFs识别法的应用前景。

Establishment of KCFs Identification Method and Its Application in Drinking Water from the Yellow River

A method for key control factors ( KCFs) risk identification of drinking water supply chain was established. Based on standardization of monitoring datas of the drinking water supply chain into a unified index, rapid and accurate identification was realized through disposing redundant information by principal component analysis, and narrowing the identification range of risk factors to the KCFs which had a decisive impact on water quality. This method was applied to identify the risk factors from part of drinking water supply chains pumped from the Yellow River in Shandong. In addition to the potential risk of microorganism and organic matter of drinking water pumped from the Yellow River, fluoride and sulfate were found to pose significant risks, which were never reported before. Water quality was affected by treatment efficiency, raw water quality and pipe network pollution, and the sequence was from strong to weak. Finally, the list of safety impact factors of drinking water pumped from the Yellow River and protective measures were proposed, and the application prospect of KCFs identification method was analyzed.