 I'm the PI on the Sailing Out the River project, and what we were interested in doing here is looking at the mobilisation and transport of bed load in rivers. This is the course material that sits within rivers, and this figure here in the top left that you can see shows river sections around Ballata in Scotland. You can see that when there were the floods there a few years ago in 2015, there was meter scale change in the elevation of the bed and re-routing of the river as a consequence of the flooding. So this is a big epidemic uncertainty for flood modelling. Also when you transport that material it houses a river to infrastructure because you're putting tools into the river so that the river can abrade rapidly. And there are other situations where you might be interested in monitoring this process, such as in Nepal after the earthquake. You might be interested in the fate of the landslide debris that's been put into rivers and how that might impact agriculture downstream and change the cascading hazard. The monitoring of bed load has been understood, and that's because it's very hard to instrument it and monitor it because it's such a corrosive environment. So we're looking to develop low cost sensors that could be used to supplement what already exists at stream gauge stations or could be deployed along in regions of interest. So this figure here shows some of our trials of this where we've got this sensor in this box which would be buried. We've got a box up here which houses the electronics. I've put a hardware block diagram in the bottom where the section on the left shows the geofone and accelerometers housed in this enclosure here. We've got a box which has got a Raspberry Pi 3G 4G dongle for telemetering data, GPS for timing and solar controller in there as well. We are telemetering two streams of data back. We've got from the charge controller, we're telemetering the status of the battery and putting that onto a dashboard so that we know if our stations are working where they're working and so we can respond if there are outages. And then we're also streaming the data from the sensors back for analysis. At the moment we're in the stage where we're streaming back as much data as we can at the moment because we're still in the research phase of working out exactly the data that's required to monitor these systems. But we anticipate a streamlining of that so that we would have lower data usage requirements later on. The place where we're trialling, this is in Glen Feshe in Scotland, which is a classic meadowload dominated river that's been studied for years by Glasgow University from drone data photographs of how the river is evolving. And you can see here a section of the Feshe flowing from south to north. The width of these graded sections is the order of 200 meters wide in places. And we're going to be monitoring up through this region where we're going from a broad region into a more channelized region. And we're using this to prove the science of what we're measuring with the sensors so that we can then be deploying them with confidence for monitoring bed loading at stream gauge stations in other areas. Looking forward, my aspiration would be that once we have the technology working and we're happy with that, that it's something that we could use to augment what's already deployed at existing stream gauge stations where bed load transport is a factor there. I'd be interested in using these sensors to monitor stretches of rivers where interventions have been going on for flood works and similar. And also we're working with project partner out in Nepal who manages stream gauge stations out there that is looking at evolving flood risk and the impacts of bed load on farmland in the mountain environment.