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Rainfall patterns. so it is every single geographic data set, as well as data sets from the sensors in order for it to learn and develop the predictive mechanisms to be able to inform where these incidents are occurring and the likelihood and, indeed, when they would occur as well. it's one thing to be able to predict a pollution event, but do you think we're really in a position then to try and stop it? it's a lot easier to prevent it than actually try to sort of deal with it once the incident�*s occurred. we are planning to showcase this model as part of cop28. at the moment, we've launche...

At the moment, we've launched a project in south africa that will use some of the data sets here and the learnings from this project to roll out a similar project in south africa. and so, we want to very much showcase the role of technology for climate action, notjust mitigation, but adaptation as well. the task is huge, but here in the uk, it's proposed that £10 billion be invested to upgrade the sewage network. much of that will be spent on infrastructure like pipes and treatment plants. but the point of this project is to prove that the technology does now exist to warn us about pollution ...

Notjust mitigation, but adaptation as well.

And so, we want to very much showcase the role of technology for climate action, notjust mitigation, but adaptation as well. the task is huge, but here in the uk, it's proposed that £10 billion be invested to upgrade the sewage network. much of that will be spent on infrastructure like pipes and treatment plants. but the point of this project is to prove that the technology does now exist to warn us about pollution before we see it and smell it on the beach.