Key Takeaways 

• A wastewater GIS dashboard brings pipe data, inspection records, sensor readings, and work orders together in one map-based view instead of scattered spreadsheets and paper files.
• Real-time or near-real-time data feeds let operators see problems as they develop rather than months later during the next scheduled inspection.
• Spatial mapping is one of the fastest ways to spot inflow and infiltration (I&I) sources.
• Condition-based maintenance replaces calendar-based cleaning schedules with data that shows which segments actually need attention.
• Capital improvement planning gets easier and more defensible when budget requests are backed by a map showing exactly where failures are concentrated.

A wastewater GIS dashboard maps sewer assets, sensor readings, and maintenance records on one interactive map, giving utilities real-time visibility into system condition, I&I risk, and where to spend next.

Most collection systems in the United States were built decades ago, and the people who understand where the weak points are have often retired or moved on. What’s left behind is usually a patchwork of paper maps, PDF inspection reports, and a GIS layer that hasn’t been updated since the last annexation. Meanwhile, budgets are tight, EPA consent decrees loom over more utilities every year, and ratepayers expect fewer surprises, not more.

This is exactly the gap that wastewater GIS dashboards are built to close. Instead of treating pipe location, condition data, flow monitoring, and maintenance history as separate systems that live in separate departments, a GIS dashboard puts all of it on one map that anyone on staff can open and understand in minutes.

Why Visibility Matters More Than Raw Data

Utilities are not short on data. Most have years of CCTV inspection footage, field notes,  and work order histories sitting in different systems. The problem is visibility, not volume. When information is locked in disconnected spreadsheets, nobody can see the pattern that a map would reveal in seconds. That is the real value a wastewater GIS dashboard delivers.

What Is a GIS Dashboard for Wastewater Systems?

A GIS dashboard for wastewater is a web-based mapping interface that layers a utility’s collection system data onto a single geographic view. Pipe segments, manholes, lift stations, and outfalls are shown as clickable assets, each carrying its own attributes: material, age, diameter, last inspection date, condition score, and any open work orders tied to it.

Unlike a static engineering map, a dashboard updates as new data comes in. When a crew finishes a CCTV inspection or an acoustic assessment, that record attaches to the correct segment automatically, and the map reflects the change. Over time, this turns a utility’s GIS from a reference document into an operational tool that staff actually use every day, not just during planning season.

Core Components of a Wastewater GIS Dashboard

Most functional dashboards share the same basic building blocks: a base map of the collection system, layered condition and inspection data, live or recent sensor feeds, and a reporting layer that turns raw records into charts and summaries anyone on staff can read without a GIS background.

How GIS Dashboards Provide Real-Time Visibility Across Sewer Systems

Real-time visibility does not always mean a live data stream updating every second, though for flow monitoring and SCADA integrations it often does. More broadly, it means operators can open one screen and see the current state of the system rather than piecing together information from three different departments.

When a lift station alarm triggers, or a flow sensor detects a spike after a storm, that event shows up on the dashboard tied to its exact location. Crews responding to the alert already know which pipe segment, which manhole, and which upstream basin are involved before they arrive on site. That context alone cuts diagnostic time significantly compared to a dispatcher relaying an address over the radio.

From Reactive to Proactive Operations

The bigger shift is cultural. Utilities that adopt GIS dashboards tend to move from reactive operations, responding to overflows and complaints after they happen, toward proactive operations, where trends in the data flag risk before a failure occurs. That shift alone is often the difference between an emergency repair and a scheduled one.

How GIS Dashboards Map Inflow and Infiltration 

One of the most valuable applications of wastewater GIS is identifying inflow and infiltration (I&I) across a sewer collection system. I&I occurs when stormwater or groundwater enters sanitary sewer pipes through cracks, deteriorated joints, damaged manholes, or improper connections. Although this additional water is not wastewater, it still travels to the treatment plant, increasing treatment costs and placing unnecessary stress on the collection system.

Many municipalities struggle with I&I because the sources are often spread across hundreds of miles of underground infrastructure. Without spatial analysis, utilities may spend significant time and money inspecting areas that are not contributing to the problem. GIS dashboards change this approach by combining geographic information with monitoring data, allowing utilities to locate potential I&I sources much more efficiently.

Rather than treating I&I as a system-wide issue, wastewater GIS enables utilities to identify the neighborhoods, sewer basins, and individual assets that deserve immediate attention.

Why inflow and infiltration matter

Even moderate levels of I&I can create serious operational and financial challenges for wastewater utilities.

Common impacts include:

• Increased wastewater treatment costs
• Higher energy consumption at treatment facilities
• Reduced sewer system capacity
• Greater risk of sanitary sewer overflows
• More frequent pump station operation
• Accelerated infrastructure deterioration
• Increased maintenance requirements
• Greater regulatory compliance risks

Over time, these issues can significantly increase operating expenses while shortening the service life of critical infrastructure.

How GIS dashboards identify I&I hotspots

Modern GIS dashboards combine multiple datasets to reveal where abnormal flow conditions are occurring.

Examples of information that may be analyzed include:

• Basin flow monitoring
• Rainfall data
• Groundwater conditions
• Historical inspection reports
• Pipe age
• Pipe material
• Manhole condition assessments
• Acoustic inspection results
• Sensor network data

When these datasets are displayed geographically, patterns become much easier to recognize.

For example, if one sewer basin consistently experiences unusually high flow during dry weather, the dashboard may indicate groundwater infiltration through deteriorated pipes or leaking manholes. Alternatively, sharp increases during rain events could suggest inflow from roof drains, sump pumps, or cross-connections.

Instead of relying on assumptions, utilities can use these visual patterns to focus investigations where they are most likely to produce results.

Prioritizing repairs using spatial analysis

Once potential I&I sources have been identified, wastewater GIS helps municipalities prioritize corrective actions.

Rather than scheduling investigations across an entire city, crews can focus on:

• High-risk sewer basins
• Aging pipe segments
• Deteriorated manholes
• Areas with repeated wet-weather flow increases
• Locations with recurring maintenance history

This targeted approach improves productivity while reducing unnecessary inspections.

Spatial prioritization also supports better budgeting because rehabilitation efforts can be directed toward locations expected to provide the greatest reduction in excess flow.

How GIS Dashboards Support Condition-Based Sewer Maintenance

Traditional maintenance schedules clean every pipe on a fixed rotation, usually every three to five years, regardless of actual condition. It’s simple to administer, but it wastes money cleaning pipes that don’t need it while under-servicing pipes that are degrading faster than the schedule assumes.

Condition-based maintenance flips that model. Instead of a calendar, the trigger is the pipe’s actual condition score, built from acoustic inspection, CCTV footage, or sensor-based monitoring. A GIS dashboard is what makes this practical at scale, because it lets a utility see condition scores across the entire system at once and rank segments by real urgency rather than by which route a crew happens to be near that week.

Turning Inspection Data Into a Repeatable Process

The utilities that get the most value from condition-based maintenance treat it as a repeatable cycle: assess, score, prioritize, clean or repair, then reassess. A dashboard keeps that cycle honest by storing the history alongside the current score, so managers can see whether a segment is stable, improving, or getting worse over successive inspections.

Supporting Capital Improvement Planning with Spatial Data

Capital improvement plans live or die on how well they can be justified to a city council or a rate board. A spreadsheet full of pipe ages and repair costs is accurate, but it does not tell a persuasive story. A map that shows every failure, overflow, and high-risk segment clustered in three specific neighborhoods tells that story instantly.

GIS dashboards let planners overlay a variety of data to identify where the next ten years of capital spending will do the most good. That same map becomes the backbone of a grant application, a rate case, or a board presentation, because it turns an engineering argument into something non-technical decision-makers can understand at a glance.

Improve Wastewater System Visibility with Smarter GIS Solutions

A wastewater GIS dashboard is not just a mapping upgrade. It is the difference between managing a collection system reactively and managing it with the kind of visibility that catches problems early, targets I&I at its actual source, and turns capital planning into an evidence-based process instead of a guessing game.

RH Borden is a trusted wastewater technology provider based in Lehi, Utah, serving municipalities across the United States with advanced, data-driven sewer system maintenance solutions. We specialize in helping cities transition from traditional, labor-intensive maintenance to smarter, technology-enabled infrastructure management.

At RH Borden, we deliver innovative wastewater solutions including Acoustic Assessments using SL-RAT technology to quickly identify cleaning priorities, BASINiQ sensor networks for detecting inflow and infiltration (I&I) sources across sewer basins, and Manhole Virtual Models (MVM) that create digital twins of infrastructure assets to assess condition and guide rehabilitation decisions. Our solutions are designed to improve efficiency, reduce unnecessary maintenance costs, and extend the life of wastewater infrastructure through accurate, actionable data-driven insights.

Contact us today at 385-510-3223 to see how a data-driven approach to wastewater GIS can bring visibility to your system.

Frequently Asked Questions

What data sources typically feed into a wastewater GIS dashboard?

Most dashboards pull from CCTV inspection footage, acoustic assessment results, SCADA and flow monitoring data, manhole and pipe attribute records, work order histories, and as-built engineering drawings. The strongest dashboards also accept manual field notes so crews can add context that automated sensors miss.

How much does it cost to implement a GIS dashboard for a mid-sized utility?

Costs vary widely based on how much existing data needs to be cleaned up and migrated, how many assets are in the system, and whether new sensor hardware is part of the project. A mid-sized utility should expect the conversation to start with a data audit before any firm number is realistic.

Can a GIS dashboard integrate with our existing SCADA or asset management software?

In most cases, yes. Modern dashboards are built to pull data through standard APIs from common SCADA platforms and asset management systems rather than replacing them. It’s worth confirming compatibility with your specific software during the evaluation stage.

How long does setup usually take from kickoff to a working dashboard?

Timelines depend heavily on data quality going in. A utility with clean, current GIS layers can often see a working dashboard within a few weeks. A utility working from outdated maps and paper records should expect the data cleanup phase to take longer than the dashboard build itself.

Do we need in-house GIS expertise to maintain the system, or can a vendor handle that?

Both models exist. Some utilities keep a GIS technician on staff to manage updates, while others rely on their vendor or a technology partner for ongoing maintenance and support. The right choice usually depends on the size of the utility and how much other GIS work already happens in-house.