Leakage Rate Model of Urban Water Supply Networks Using Principal Component Regression Analysis

被引：0

作者：

Zhiguang Niu ^{[1
]}

Chong Wang ^{[1
]}

Ying Zhang ^{[2
]}

Xiaoting Wei ^{[3
]}

Xili Gao ^{[4
]}

机构：

[1] School of Environmental Science and Engineering, Tianjin University

[2] Key Laboratory of Pollution Processes and Environmental Criteria of Ministry of Education, College of Environmental Science and Engineering, Nankai University

[3] Binhai Industrial Technology Research Institute of Zhejiang University

[4] Tianjin Urban Construction Design Institute

来源：

Transactions of Tianjin University | 2018年 / 24卷 / 02期

基金：

中央高校基本科研业务费专项资金资助;

关键词：

Water distribution system; Leakage rate; Leakage influencing factor; Quantitative model; Principal component regression;

D O I：

暂无

中图分类号：

TU991.61 [给水系统的运营及检修];

学科分类号：

摘要：

To analyze the factors affecting the leakage rate of water distribution system, we built a macroscopic "leakage rate–leakage factors"(LRLF) model. In this model, we consider the pipe attributes(quality, diameter,age), maintenance cost, valve replacement cost, and annual average pressure. Based on variable selection and principal component analysis results, we extracted three main principle components—the pipe attribute principal component(PAPC), operation management principal component, and water pressure principal component. Of these, we found PAPC to have the most influence. Using principal component regression, we established an LRLF model with no detectable serial correlations. The adjusted R2 and RMSE values of the model were 0.717 and 2.067, respectively.This model represents a potentially useful tool for controlling leakage rate from the macroscopic viewpoint.

引用

页码：172 / 181

页数：10

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