Prioritising sewersheds based on groundwater infiltration probability: A geospatial approach.

Evaluating groundwater infiltration (GWI) in sewer networks is essential for managing network capacities, especially amid growing pressures on network maintenance and operation caused by increasing domestic and storm water inputs. Despite this significance, GWI assessments have received limited attention, especially at large scales. In fact, no previous study has comprehensively evaluated sewersheds based on GWI scores.

Global perspectives on groundwater infiltration to sewer networks: A threat to urban sustainability.

While existing studies on sewer networks have explored topics such as surface water inflow, limited research has delved into groundwater infiltration (GWI). This study aims to fill this void by providing a comprehensive overview of quantitative analyses of GWI in sewer networks plus current status, limitations and future perspectives, considering the most relevant peer-reviewed research, including 83 studies. We propose dividing the existing research into two main groups: (1) phreatic zone, and (2) vadose zone.

Moving to a future of smart stormwater management: A review and framework for terminology, research, and future perspectives.

Stormwater hazards are a significant threat across the globe. These are continuing to increase in line with urbanisation and climate change, leading to a recognition that the historic paradigm of passive management using centralised infrastructure is insufficient to manage future hazards to our society, environment, and economy. The cross-sector Internet of Things revolution has inspired a new generation of smart stormwater management systems which offer an effective, cost beneficial and adaptive solution to enhance network capacities and reduce hazards.

Rapid surface water intervention performance comparison for urban planning.

Surface water flooding can be a significant source of damage and disruption in urban areas. The complexity of urban surfaces, the need for spatially disaggregated approaches and the multiplicity of interventions makes management challenging from a number of perspectives. This research responds to the challenge of selecting appropriate surface water management interventions by applying a fast assessment framework to generate evidence for comparing strategies at low resource cost during initial design.