Water offers the ultimate Goldilocks dilemma – too little and the land shrivels into desert, too much and we’re paddling.
Managing water flow has always been an uncertain business, and never more so than in a world with a changing climate. Simulation models can offer predictions for water quantity and quality, but sometimes the most important thing to know is how much we don’t know.
Calculating and quantifying those unknowns is at the heart of civil engineer Zoe Li’s work: Her group uses hydrological and climate modelling to quantify uncertainties.
“Once you do that, you are able to assess the associated risk and then you can come up with a plan to manage those risks," she says.
Li then applies robust algorithms to data accumulated from the simulation models to develop real-world optimization models that help guide decision-making related to environmental challenges.
Managing water flow has always been an uncertain business, and never more so than in a world with a changing climate. Simulation models can offer predictions for water quantity and quality, but sometimes the most important thing to know is how much we don’t know.
Calculating and quantifying those unknowns is at the heart of civil engineer Zoe Li’s work: Her group uses hydrological and climate modelling to quantify uncertainties.
“Once you do that, you are able to assess the associated risk and then you can come up with a plan to manage those risks," she says.
Li then applies robust algorithms to data accumulated from the simulation models to develop real-world optimization models that help guide decision-making related to environmental challenges.