Evidence-based decision-making is a useful framework for the development of policies and practices to ensure water security, ecosystem resilience, and productive societies. The term “evidence-based” is gradually yielding to the term “data-driven” as focus shifts from specified data (i.e. fit-for purpose) to data discovery (i.e. big data) as the source of evidence.
Water has always been important. The perception of its importance is closely linked to episodes of too much, too little, or the wrong quality. Climate change, urban growth, and agricultural intensification are just three examples of pressures that are contributing to an unprecedented global awareness of the importance of water.
For the final week in our Women in Water series, started on International Women’s Day, we are interviewing women across the world who are dedicated to the protection of the water and the environment, and the use of technology to do so. This week, we met with Tamara Roberts, a Linko user at the City of Bloomington Utilities in Bloomington, IN, USA, and Angela Perks, an AQUARIUS user from the Bay of Plenty Regional Council in New Zealand.
As part of our Women in Water series, started on International Women’s Day, we are interviewing women across the world who are dedicated to the protection of the water and the environment, and the use of technology to do so. This week, we met with Kirsten Adams, an AQUARIUS user at the Department of Primary Industries, Parks, Water and Environment (DPIPWE), and Lynn Landry, a WaterTrax user at Metro Vancouver.
As part of our Women in Water series, started on International Women’s Day, we are interviewing women across the world who are dedicated to the protection of the water and the environment, and the use of technology to do so. This week, we met with Donna Hollis, an AQUARIUS user from TasWater, and Alice Ohrtmann, a Linko user from Rock River Water Reclamation District.
There is a hidden cost behind the reliance on spreadsheets that is invisible to those who are dependent on them. Most people use spreadsheets for multiple purposes, so using spreadsheets to manage water data seems “free” relative to the cost of purpose-built software for data management. A National Public Radio Podcast about spreadsheets was recommended to me by colleagues at the CWRA conference in Lethbridge last week.
The most passionate people involved in the water monitoring industry all care deeply about the preservation of traceable provenance for their data. To people on the outside this can seem like an indulgence that adds a burden of work to the data management process with little apparent benefit. The benefit is ‘verifiable truth’, a distinction with little value. Until it matters!
While there must be an underlying true relation between water level at a given place and time and the corresponding discharge, our experience of that truth is limited to gauging observations from which we must infer the totality of the relationship. It is generally true that if you give the same set of data to “n” different hydrographers they will produce “n” different discharge hydrographs. There is no assurance that any of the hydrographs are actually true. Each hydrographer is making inference about what they believe to be true based on a relatively few gaugings.
Almost everything we know about our global freshwater resources is due to the humble stage-discharge rating curve. The vast majority of all flow data ever produced is the derived result of a transform from a variable that is easy to monitor continuously (stage) to a variable that is impossible to directly measure continuously (discharge). This means we are dependent on rating curves for advancements in hydrological science; for flood forecasting; for drought management; for engineering designs that provide us with physical safety, transportation, water supply and waste disposal; for water management policies and decisions that ensure energy and food security.
Extreme flows are extremely hard to gauge, hence we get very few gaugings to accurately define the top-end of stage-discharge rating curves. This is a problem. Whereas empirically calibrated functional relationships can be trustworthy for the purpose of interpolation, they can be notoriously unreliable for extrapolation. One needs to be very careful about extrapolating any rating curve to an ungauged extreme.
Stage-discharge rating curves define a unique relation between water level and discharge, enabling continuous derivation of streamflow from water level record. This is important because water level (which is relatively easy to monitor) is only locally relevant whereas discharge (which is relatively difficult to measure directly) is the integral of all runoff processes upstream of the gauge. The vast majority of all streamflow data that has ever been produced is a derived result of a rating curve. In other words, almost everything that we know (or rather that we think we know) about hydrology is a result of rating curves.
Aquatic Informatics is a software company. Software is a set of algorithms that take inputs and produce some sort of output based on encoded rules. In order to be most efficient the human machine interface needs to be designed along a work flow of ‘best practice’. The AI user group meeting is one of our…