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无收益水量控制方法绩效研究

中文摘要第3-4页
ABSTRACT第4页
CHAPTER 1 INTRODUCTION TO NON-REVENUE WATER (NRW) AND NETWORKMANAGEMENT INDICATORS第9-17页
    1.1 IWA water balance第9-10页
    1.2 Key performance indicators (KPI) for NRW monitoring第10-17页
        1.2.1 Network efficiency第10-11页
        1.2.2 NRW as % of the system input第11页
        1.2.3 Consumption Linear Index (CLI) and Linear Leakage Index (LLI)第11-12页
        1.2.4 Losses per service connection or per km第12-13页
        1.2.5 Infrastructure Leakage Index (ILI)第13-15页
        1.2.6 Economic Level of Leakage (ELL)第15-17页
CHAPTER 2 PHYSICAL LOSSES REDUCTION ACTIONS AND DECISION SUPPORT TOOLS第17-35页
    2.1 District Metering第17-19页
        2.1.1 District metering principle第17-18页
        2.1.2 District metering benefits第18-19页
        2.1.3 District metering difficulties & limits第19页
    2.2 Pressure Management第19-20页
        2.2.1 Pressure Management principle第19页
        2.2.2 Pressure Management benefits第19-20页
        2.2.3 Pressure Management difficulties & limits第20页
    2.3 Active Leakage Control (ALC)第20-21页
        2.3.1 ALC principle第20-21页
        2.3.2 ALC benefits第21页
        2.3.3 ALC difficulties & limits第21页
    2.4 Pipes renewal and replacement第21-22页
        2.4.1 Pipes renewal and replacement principle第21-22页
        2.4.2 Pipes renewal and replacement benefits第22页
        2.4.3 Pipes renewal difficulties & limits第22页
    2.5 Decision support tools for NRW Reduction第22-35页
        2.5.1 WB-Easy Calc, (Liemberger & partners)第23-24页
        2.5.2 Water Audit, USA (American Water Works Association)第24-25页
        2.5.3 LEAKS Suite, UK第25-27页
        2.5.4 Care-W, Europe第27-30页
        2.5.5 CASSES, France (Irstea)第30-31页
        2.5.6 PRESMAC & ECONOLEAK, South Africa (WRC)第31-33页
        2.5.7 Wi LCO, UK (SEAMS)第33-35页
CHAPTER 3 NRW REDUCTION METHODS EFFICIENCY COMPARISON IN LARGE DMAS : CASE STUDY ON A CHINESE CITY第35-56页
    3.1 The Efficiency Issue第35-36页
    3.2 Methodology第36-39页
        3.2.1 NRW evolution and variations : graphical analysis第36页
        3.2.2 Linear regression and R-squared method第36-37页
        3.2.3 Kendall’s and Spearman’s rank correlation第37页
        3.2.4 Principal component analysis (PCA)第37-39页
    3.3 Analysis Results第39-56页
        3.3.1 NRW graphical analysis第39-43页
        3.3.2 Linear regression and coefficient of determination calculation第43-45页
        3.3.3 Spearman’s and Kendall’s rank correlation methods第45-47页
        3.3.4 Principal Component Analysis第47-54页
        3.3.5 Analysis conclusions and perspectives :第54-56页
CHAPTER 4 CONCLUSIONS AND RECOMMANDATIONS第56-57页
BIBLIOGRAPHY第57-61页
AKNOWLEDGEMENTS第61-63页
APPENDIXES第63-73页
RESUME第73页

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