摘要
梳理了独立计量区(DMA)流量数据中常见的错误,进行数据质量评估,对于支撑DMA的智慧化管理具有重要意义。收集了某市2017~2018年连续2年共728个DMA的流量数据,识别了5种类型的数据错误,分析了其原因并评估了其影响,为DMA数据质量的提升提供了支撑。
It’s important to identify the categories of the error data and assess the data quality for the district metered areas(DMAs)to support their intelligent management.This study collected data from 728DMAs for two consecutive years(2017~2018),recognized five types of data errors,analyzed their causes and assessed their impacts,providing support for the improvement of DMA data quality.
作者
张佳欣
何鑫
翟元鑫
强志民
徐强
Zhang Jiaxin;He Xin;Zhai Yuanxin;Qiang Zhimin;Xu Qiang(Key Laboratory of Drinking Water Science and Technology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China;University of Chinese Academy of Sciences,Beijing 100049,China;Beijing Waterworks Group,Beijing 100031,China)
出处
《给水排水》
CSCD
北大核心
2020年第3期134-138,共5页
Water & Wastewater Engineering
基金
国家水体污染控制与治理科技重大专项(2017ZX07108-002,2017ZX07501-002)。
关键词
独立计量区
漏损控制
数据质量评估
District metered areas
Leakage control
Data quality assessment
