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Nature Based Solutions for Urban Water Management

Project 1: Monitoring WSUD performance 


The ABC Waters Programme, with its design based on Water Sensitive Urban Design (WSUD), has successfully implemented stormwater control systems across Singapore for 15 years. Yet, there is relatively little attention paid to monitoring ABC Waters features’ medium to long-term performance. Compared with traditional monitoring system, low-cost sensors’ technology presents economic advantages and flexibility for operation and communication. In this project, we aim to

  • establish a continuous and autonomous water monitoring system by adopting low-cost sensors and assessing their performance,

  • monitor the medium to long-term performance of WSUD.


The specific objectives are to:

  1. collect information of low-cost sensors, and identify traditional and equivalent low-cost sensors for water quantity and quality monitoring,

  2. test (in laboratory and in situ) and compare the multi-criteria performance of traditional and low-cost sensors, and

  3. develop an experimental protocol to assess the performance (water quantity and quality) of WSUD systems.

Project leads:

Perrine Hamel (Principal Investigator), Ding Ning (PhD student)


  • Jean-Luc BERTRAND-KRAJEWSKI (Full Professor, University of Lyon, INSA Lyon)

  • Frédéric CHERQUI (Associate Professor, University of Lyon,INSA Lyon)

  • Qingchuan ZHU (PhD student, INSA Lyon)

  • Theresa Marie Lee (PUB, Singapore)


Ding,N., Hamel.,P., Zhu,Q., Cherqui,F., Bertrand-Krajewski, J.L. (2022)

Low-cost sensors in monitoring Water Sensitive Urban Design (WSUD) performance in Singapore - Lab testing of water level sensors

Project 2: Nature-based solutions for flood risk mitigation 


Deforestation and unplanned development increase flood risk, with impacts on lives, livelihoods, and built infrastructure. Understanding the conditions in which natural ecosystems and land management help to mitigate flood risks and incorporating this knowledge into planning are high-priority goals for many decision-makers globally. Working with the Disaster Analytics group at the Asian School of the Environment, we are advancing research on two fronts: modelling riverine flooding in response to changes in land management, and modelling flood exposure and risk. Current work focuses on a case study in the Chindwin Basin, Myanmar.