Digital Surface Water Flood Warning System – LoRaWAN

Surface water flooding is a growing problem across West Yorkshire, disrupting residents and businesses, and causing substantial damage to properties and infrastructure.

The aim of this project is to improve the response to surface water flooding events by exploring the use of a LoRaWAN network (Long Range Wide Area Network) to provide a flood warning system which uses more accurate, real-time information.

Plans are underway to create a network of sensors across West Yorkshire to give people earlier warnings about the risk of surface water flooding following a successful bid for £97,000.

The funding has come from the Discovery Phase of round six of the Local Digital Fund to test whether using smart technology for such a system would be viable.

This project will be led by Wakefield Council, who are working with Kirklees and Leeds council to scope the project, carry out further assessment of the Long Range Wide Area Network (LoRaWAN) and pilot the sensors.

Current flood responses are reactive rather than proactive and there is no early warning system in place. The network of sensors would transmit real-time surface water levels to a central hub and create an early warning system of potential flooding.

This will help operational flood risk managers within highways, emergency planning and digital programme teams, in local authorities and the Environment Agency, to gain more accurate knowledge of where surface water flooding is likely to happen.

Flood teams will be able to direct resources to where they are most needed and take preventative action sooner, such as activating flood defences, road closures and doing maintenance work including clearing drains. They will also be able to communicate with communities at risk giving them more time to prepare and put plans in place to reduce any impact.

The project will focus on surface water level monitoring using new bollard sensors and rainfall, soil moisture and gully sensors. The networks are low energy and low-frequency allowing the transfer of data from remote, battery powered sensors to user-friendly dashboards. It will enable information related to flooding to be shared across boundaries, between local authorities and partners.

The first stage of the project has been to map catchment areas to identify flood risk sites and propose LoRaWAN gateways and sensor locations for an early warning system for floods.  

As part of the project, iCASP has run a series of workshops to help partners share technical expertise and practical experiences of dealing with flooding.

LoRaWAN Flood Sensor Pilot Project Diagram, Cambridge

The plan is to roll the sensors out across the region to improve its resilience to flooding and then to introduce them further afield.

The aim of the Local Digital Fund is to make local government services safer, resilient, and cost-effective. These projects aim to help create the next generation of local public services, where technology is an enabler rather than a barrier to service improvements, and services are user-centred.

LoRaWAN Project Roadmap

A roadmap has been created for this project which outlines the governance and key questions for the project team to collect information on.

LoRaWAN Information Leaflet

An informative flyer has been produced which outlines how using digital sensors can reduce surface water flooding. The leaflet explains how LoRaWAN works, its benefits and current application.

LoRaWAN narrated presentation

You can watch a presentation with a voiceover to find out how the region could benefit from LoRaWAN.

Digital Smart Flood Warning Systems: User Research Report

A user research report has been created to summarise the project aims, flood risk stakeholder interview findings, the residents and responders workshop findings and next steps.

Digital Smart Flood Warning Systems: Business Case

A business case report has been created after the completion of a discovery ‘scoping’ phase. Presented here is a business case for Alpha-stage funding to develop a pilot scheme testing a Long-Range Wide Area Network for surface water monitoring, infrastructure
maintenance and improved flood response.