Reply To: Beyond 2G cellular modems?

Hi Stephanie
Thanks for the azonde.com comment – I started it many years ago – somewhat based on TinyOS.net – which is an embedded CompSci teaching tool.
A better way is to use a REST based reporting.
An example I’ve done using a Rain Gauge (Arduino based) thingspeak.com/channels/8652 (supplied by iobridge.com)
which when using a JavaScript framework looks like this
LiveRainGauge

Wow really interested in your “research interest is in evaluating the effect of engineering hydrologic flowpaths to maintain downstream water chemistry” & “Streams with SC > 500 uS/cm are typically degraded and have significantly reduced biological diversity”
My suggestion would be to collaborate on a significant part of that, measuring the stream SC.
Where would you see the SC probe placed in the water column (see below)?
The challenges from what I understand with SC sensors is the buildup of slime that can impair the readings.
I’m working on a low cost depth gauge – open source.
Part of that could be adapted to a SC probe.
A possible place designed for collaboration could be here..
makerspace.com/u/neilh20/projects/specific-conductance-probe
let me know if this works, but I’m open to anywhere else.

The context: Wireless Sensors Networks (WSN) are challenging and IMHO Riparian WSN (RWSN) are even more challenging, and the technology stack to pull this together is still evolving unless you go for a commercial solution.
I’m seeing if I can solve this technical challenge with the focus on the riparian stream side locations.
– WSN are particularly applicable to long term, sensing over many years with a wide variety of environmental conditions and reliability needs.
– Sensing in the water column is varied and sensors need to be easily changed for both equipment management (failures) and varied traceability requirements. (Some sites require more defined measurement trace-ability than others)
– Depth sensors placement has to be at the bottom of the water column, and best practices are typically 6in/15cm below the lowest level the water is expected to drop to for any stream flow. The primary challenge is the physical sensors themselves – which have temperature dependency and resolution/ accuracy that is challenged with low water heads.