Singapore’s national water agency PUB is hoping to harness machine learning, imagery and crowdsourced data to help it safeguard coastal areas against rising sea levels and extreme rainfall.
The agency issued [pdf] a request for proposal (RFP) this week for “innovative proposals on the use of emerging technologies” that would help it collect data to support “the formulation of coastal protection measures.”
PUB assumed the role of the nation’s coastal protection agency in April 2020 and said it’s been “making steady progress” in its remit.
Site-specific studies for Singapore’s City-East Coast started in May last year and for a portion of the northwest coast earlier this month.
Further studies at Jurong Island “and the remaining stretch of the north-west coast” will start later this year, it said.
PUB is also developing “an advanced computational hydrodynamics model that can assess the twin effects of coastal and inland flood risks.”
“The RFP is part of PUB’s longer-term research plans to better understand the effects of waves, currents and ship wakes, to strengthen the development of coastal protection solutions and ensure they are effective, multi-functional, adaptive and sustainable,” the agency said.
PUB’s coastal protection department director Hazel Khoo added that “coastal protection … measures will need to be developed based on robust data and science-based research, taking into account considerations unique to Singapore.”
The deadline for proposals under the RFP is July 15.
The agency intends to host an information session for the industry on May 12.
