{"id":8052,"date":"2026-10-23T05:18:16","date_gmt":"2026-10-23T05:18:16","guid":{"rendered":"https:\/\/www.tengyuemetering.com\/?p=8052"},"modified":"2026-10-23T05:24:02","modified_gmt":"2026-10-23T05:24:02","slug":"data-driven-nrw-management-water-utilities","status":"publish","type":"post","link":"https:\/\/www.tengyuemetering.com\/es\/data-driven-nrw-management-water-utilities\/","title":{"rendered":"NRW Management: A Data-Driven Workflow for Water Utilities"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"8052\" class=\"elementor elementor-8052\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5b87582 e-flex e-con-boxed e-con e-parent\" data-id=\"5b87582\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-89951f0 elementor-widget elementor-widget-text-editor\" data-id=\"89951f0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div data-page-id=\"BHCFddmhhottbSxOOLAcCHEPn3d\" data-lark-html-role=\"root\" data-docx-has-block-data=\"false\"><p class=\"ds-markdown-paragraph\"><span class=\"\">NRW management is the structured process of reducing non-revenue water by connecting measurement, analysis, investigation, and follow-up. Non-revenue water (NRW) is a complex challenge for water utilities. Water losses may be associated with physical leakage, inaccurate measurement, unauthorized consumption, or weaknesses in data and operational processes. Installing meters or collecting more readings is only one part of the solution. Utilities also need a practical way to interpret the information and turn it into action.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">A data-driven NRW management workflow helps teams move from raw readings to prioritized field work. It does not assume that every unexplained cubic meter is leakage. Instead, it uses flow, pressure, DMA water balance, minimum night flow (MNF), GIS, and field verification to build evidence step by step.<\/span><\/p><h2><span class=\"\">What Is a Data-Driven NRW Management Workflow?<\/span><\/h2><p class=\"ds-markdown-paragraph\"><span class=\"\">A data-driven NRW management workflow is a repeatable process for measuring network performance, identifying anomalies, investigating likely causes, taking action, and checking results. It combines several evidence sources: bulk and customer metering, DMA water balance, pressure monitoring, MNF analysis, GIS asset visualization, and field verification.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">The workflow is not a one-time equipment installation. It is an operating cycle. IWA water loss methodology and AWWA M36 provide widely used frameworks for defining water balance components and interpreting leakage indicators. ISO 4064 is relevant to water meter accuracy, while ISO 55000 asset management principles support risk-based decisions about inspections and investment.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">A useful workflow should answer four questions: What is happening? Where is it happening? What evidence supports the interpretation? Did the action improve performance?<\/span><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4a197e elementor-widget elementor-widget-text-editor\" data-id=\"c4a197e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div data-page-id=\"BHCFddmhhottbSxOOLAcCHEPn3d\" data-lark-html-role=\"root\" data-docx-has-block-data=\"false\"><h2><span class=\"\">How Do Utilities Calculate a DMA Water Balance?<\/span><\/h2><p class=\"ds-markdown-paragraph\"><span class=\"\">A practical DMA water balance process can be organized into five steps.<\/span><\/p><h3><span class=\"\">Step 1: Measure DMA Inflow<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">Collect reliable readings at DMA boundaries. Boundary flow meters should have known accuracy, synchronized time stamps, and a clear data-completeness record. For trend review, 15-minute interval data is often useful, while billing data may be monthly.<\/span><\/p><h3><span class=\"\">Step 2: Collect Consumption Data<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">Compile authorized-use information for the same period. Separate billed authorized consumption from known authorized unbilled consumption where possible. Align billing and meter-reading periods with the flow period; otherwise the balance may show a false difference.<\/span><\/p><h3><span class=\"\">Step 3: Reconcile the Balance<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">Compare inflow with accounted consumption using the simplified formula, then document adjustments and measurement uncertainty. A formal water balance should show which components are included and which are estimated.<\/span><\/p><h3><span class=\"\">Step 4: Identify Unusual Patterns<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">Review persistent or significant discrepancies rather than a single day. A 28-day rolling comparison can help distinguish a sustained change from a temporary event or measurement issue.<\/span><\/p><h3><span class=\"\">Step 5: Investigate the Zone<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">Use pressure data, minimum night flow (MNF) trends, GIS information, and field checks to determine likely causes. The water balance narrows the question; it does not replace field verification.<\/span><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ddbd396 elementor-widget elementor-widget-text-editor\" data-id=\"ddbd396\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div data-page-id=\"BHCFddmhhottbSxOOLAcCHEPn3d\" data-lark-html-role=\"root\" data-docx-has-block-data=\"false\"><h2><span class=\"\">Step 1: Improve Visibility with Reliable Measurement<\/span><\/h2><p class=\"ds-markdown-paragraph\"><span class=\"\">Accurate and consistent flow data helps utilities understand how water moves through their distribution networks. Bulk metering at appropriate network boundaries can support DMA monitoring, while customer metering and consumption records provide information needed for water balance analysis.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">The measurement approach should match the application, operating conditions, and required data quality. For trend analysis, 15-minute interval flow and pressure data is often useful, while billing data may be monthly. Utilities should document meter calibration, reading intervals, time synchronization, and data completeness. If the measurement layer is weak, every later analysis becomes less reliable.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">Smart metering for water utilities can improve visibility, but more data is not automatically better data. The key is consistent measurement and a clear record of what each data point represents.<\/span><\/p><h2><span class=\"\">Step 2: Establish a <a href=\"https:\/\/www.tengyuemetering.com\/es\/ty-leakage-monitoring-system-dma-real-time-leak-detection-tengyue\/\">DMA Water Balance<\/a><\/span><\/h2><p class=\"ds-markdown-paragraph\"><span class=\"\">Dividing the network into manageable zones helps utilities compare inflow with authorized consumption. A simplified DMA water balance difference is:<\/span><\/p><p class=\"ds-markdown-paragraph\"><strong><span class=\"\">DMA inflow \u2212 accounted authorized consumption = unaccounted difference<\/span><\/strong><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">For example, a DMA with 1,000 m\u00b3\/day inflow and 820 m\u00b3\/day accounted authorized consumption shows a simplified difference of 180 m\u00b3\/day, or about 18% of inflow. This is an investigation signal, not a final leakage figure. A formal IWA water balance separates authorized consumption, apparent losses, real losses, and measurement uncertainty.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">A persistent discrepancy can indicate where further analysis is needed. Reviewing the balance by zone also helps teams prioritize investigations instead of treating the entire network as one undifferentiated system. Utilities should check meter accuracy, billing-period alignment, boundary valve status, and known authorized unbilled use before drawing conclusions.\u00a0<\/span><\/p><h2><span class=\"\">Step 3\u20134: Use MNF, Pressure, and GIS to Guide Investigations<\/span><\/h2><p class=\"ds-markdown-paragraph\"><span class=\"\">Minimum night flow analysis helps utilities investigate persistent nighttime flow that may indicate background leakage. Pressure monitoring adds information about network operating conditions. When pressure and flow patterns are assessed together, utilities can investigate abnormal conditions more systematically. Neither indicator should be used alone to declare a confirmed leak.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">GIS can connect DMA boundaries, pipe routes, asset records, and monitoring locations. When a zone shows an unusual water balance or MNF trend, this spatial information helps teams understand the affected network and narrow the area for field inspection. Additional measurements and on-site verification may still be required to confirm the source.<\/span><\/p><div class=\"ds-scroll-area ds-scroll-area--show-on-focus-within ds-scroll-area--enabled _1210dd7 c03cafe9\"><div class=\"ds-scroll-area__gutters\"><div class=\"ds-scroll-area__horizontal-gutter\">\u00a0<\/div><div class=\"ds-scroll-area__vertical-gutter\">\u00a0<\/div><\/div><table><thead><tr><th style=\"text-align: left;\"><span class=\"\">Data signal<\/span><\/th><th style=\"text-align: left;\"><span class=\"\">Possible interpretation<\/span><\/th><th style=\"text-align: left;\"><span class=\"\">Useful next check<\/span><\/th><\/tr><\/thead><tbody><tr><td><span class=\"\">Persistent DMA balance difference<\/span><\/td><td><span class=\"\">Real losses, apparent losses, or data issue possible<\/span><\/td><td><span class=\"\">Check meters, billing alignment, and boundary valves<\/span><\/td><\/tr><tr><td><span class=\"\">Rising MNF with stable pressure<\/span><\/td><td><span class=\"\">Changed nighttime use or background leakage possible<\/span><\/td><td><span class=\"\">Review authorized night users and field conditions<\/span><\/td><\/tr><tr><td><span class=\"\">Flow and pressure change together<\/span><\/td><td><span class=\"\">Pressure-driven flow or measurement issue possible<\/span><\/td><td><span class=\"\">Compare 15-minute logs and pressure management records<\/span><\/td><\/tr><tr><td><span class=\"\">GIS shows anomaly near a valve or branch<\/span><\/td><td><span class=\"\">Localized investigation area possible<\/span><\/td><td><span class=\"\">Plan valve check, step testing, or field survey<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-935c71d elementor-widget elementor-widget-text-editor\" data-id=\"935c71d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div data-page-id=\"BHCFddmhhottbSxOOLAcCHEPn3d\" data-lark-html-role=\"root\" data-docx-has-block-data=\"false\"><h3><a href=\"https:\/\/www.tengyuemetering.com\/es\/ty-leakage-monitoring-system-dma-real-time-leak-detection-tengyue\/\"><span class=\"\">Illustrative Scenario: From Data Signal to Field Check<\/span><\/a><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">Consider a desensitized example. A DMA with about 1,200 connections has a 28-day nighttime baseline of 3.0 m\u00b3\/h between 02:00 and 04:00. Over six consecutive nights, average flow rises to 4.2 m\u00b3\/h\u2014about a 40% increase\u2014while pressure remains broadly stable. The DMA water balance also shows an unexplained difference of about 90 m\u00b3\/day after known uses are reconciled.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">The utility reviews MNF trends, pressure logs, and GIS asset information, then narrows the search area around a branch and valve. Field verification determines whether the cause is leakage, a valve issue, or an unrecorded night user. This example is illustrative and should not be read as a universal threshold.\u00a0<\/span><\/p><h2><span class=\"\">Step 5: Repair, Verify, and Monitor Again<\/span><\/h2><p class=\"ds-markdown-paragraph\"><span class=\"\">An investigation should lead to a clear operational response. After a suspected leak is repaired or a pressure-management action is implemented, utilities should review subsequent flow and pressure data to evaluate whether the expected improvement occurred. This feedback loop helps teams assess actions, identify recurring issues, and refine their priorities over time.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\">Verification should use the same measurement logic as the original investigation. If the DMA balance difference falls and MNF returns toward baseline, the action may have addressed the issue. If not, the team should review data quality, network configuration, and alternative causes. Consistent follow-up turns NRW management from a series of isolated repairs into a continuous improvement process.<\/span><\/p><p class=\"ds-markdown-paragraph\"><span class=\"\"><a href=\"https:\/\/www.tengyuemetering.com\/es\/ty-leakage-monitoring-system-dma-real-time-leak-detection-tengyue\/\">TY Leakage Monitoring<\/a> brings together capabilities relevant to this workflow, including DMA boundary metering and water balance reconciliation, MNF trend analytics, pressure-flow correlation analysis, GIS asset and network visualization, and data analysis to support leakage investigation and operational decisions. The value lies in connecting these functions rather than treating each measurement or tool as a separate activity. The exact workflow depends on the utility&#8217;s existing infrastructure, data availability, network configuration, and operational objectives.\u00a0<\/span><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfdf117 elementor-widget elementor-widget-text-editor\" data-id=\"cfdf117\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><span class=\"\">Frequently Asked Questions About NRW Management<\/span><\/h2><h3><span class=\"\">What is a data-driven NRW management workflow?<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">A data-driven NRW management workflow connects metering, DMA water balance, pressure monitoring, MNF analysis, GIS, field verification, and follow-up. It helps utilities prioritize investigations and verify results rather than relying on a single reading.<\/span><\/p><h3><span class=\"\">How does DMA water balance support NRW management?<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">DMA water balance compares zone inflow with accounted authorized consumption. A persistent unexplained difference can help utilities decide where to check meters, billing data, boundary valves, pressure, and field conditions.<\/span><\/p><h3><span class=\"\">How does minimum night flow analysis help reduce non-revenue water?<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">MNF analysis helps investigate persistent nighttime flow when legitimate consumption is usually low. It supports prioritization and follow-up, but it does not confirm leakage without supporting data and field verification.<\/span><\/p><h3><span class=\"\">What role does GIS play in NRW leak localization?<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">GIS links monitoring anomalies to pipes, valves, DMA boundaries, and asset records. It helps teams narrow the search area and plan field checks, but it does not replace measurements or on-site verification.<\/span><\/p><h3><span class=\"\">How often should utilities review NRW performance?<\/span><\/h3><p class=\"ds-markdown-paragraph\"><span class=\"\">Frequency depends on meter-reading cycles, data availability, and operational objectives. Many utilities review monthly water balances, use rolling periods such as 28 days for trend comparison, and check critical DMA data more frequently.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-83a338f elementor-widget elementor-widget-text-editor\" data-id=\"83a338f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div data-page-id=\"BHCFddmhhottbSxOOLAcCHEPn3d\" data-lark-html-role=\"root\" data-docx-has-block-data=\"false\"><p><strong>If you are building a data-driven NRW management workflow, <a href=\"https:\/\/www.tengyuemetering.com\/es\/contact-us-tengyue-metering-smart-water-meters\/\"><span style=\"text-decoration: underline;\">contact our engineers<\/span><\/a> to discuss DMA monitoring, MNF analysis, pressure monitoring, and GIS-based investigation for your utility.\u00a0<\/strong><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-db0c45f e-flex e-con-boxed e-con e-parent\" data-id=\"db0c45f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>NRW management is the structured process of reducing non-revenue water by connecting measurement, analysis, investigation, and follow-up. Non-revenue water (NRW) is a complex challenge for water utilities. Water losses may be associated with physical leakage, inaccurate measurement, unauthorized consumption, or weaknesses in data and operational processes. Installing meters or collecting more readings is only one [&hellip;]<\/p>","protected":false},"author":1,"featured_media":8054,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[23,1],"tags":[],"class_list":["post-8052","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-info-center"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NRW Management: A Data-Driven Workflow for Water Utilities | Tengyue Metering<\/title>\n<meta name=\"description\" content=\"Explore a practical NRW management workflow combining smart metering, DMA water balance, pressure monitoring, MNF analysis, GIS, and field verification.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta 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