UtilityRadar catalogues wastewater treatment plants worldwide, with structured data, interactive maps, permit details, and transparent source attribution on every record.
Data on treatment plants is scattered across regulatory filings, research databases, utility websites, and EU/EPA datasets. We consolidate it into a single, consistently-structured directory that researchers, regulators, journalists, and operators can actually use.
Every field is parsed, normalised, and typed. Treatment level, discharge volume, capacity utilisation, and receiving water body are queryable, not buried in PDFs.
Each plant shows its source URL, completeness percentage, and per-field quality ratings. If a number looks off, you can trace it back to origin in one click.
Every plant page has a "Suggest update" form. Operators, regulators, and locals close the loop on data we've gotten wrong or that's aged out.
UtilityRadar isn't a consumer site. It's infrastructure-grade reference data for the people who need it most.
Academic work on water quality, environmental impact, and infrastructure policy.
Cross-border comparisons of permit standards and compliance outcomes.
Investigations into discharge incidents, aging infrastructure, and pollution.
Benchmark against peers across capacity, technology, and treatment level.
We aggregate from public regulatory datasets, open environmental databases, and operator disclosures. Every record links back to its primary source.
UtilityRadar is built and maintained by Muhammad Abbas, an Enterprise Integration Specialist with 22+ years implementing ERP, EAM, and CRM platforms. The directory applies that same pattern, structured data and clean integration, to public wastewater infrastructure records.
Enterprise Integration Specialist · ERP, EAM & Digital Transformation
Background spans Microsoft Dynamics 365, Hexagon EAM, Oracle Fusion, system integration, APIs, and data warehousing across manufacturing, utilities, and finance. "I build what connects."
Visit mabbaz.comBrowse plants by country, search by name, or filter by treatment level.