While the need for more information about groundwater grows, methods or plans to get it have lagged far behind for decades. And while computer models become more powerful every day, verifiably accurate observations to confirm and improve them are expensive and time consuming when you can’t see the resource, as is the case with groundwater.
Wellntel and scientists at the University of California, Berkeley have been working in partnership to explore methods and impacts of novel new sources for and in dramatically larger quantities amounts of data in groundwater modeling for decision making.
Researchers at the university have published their findings after “assimilating” and studying the high resolution data gathered by Wellntel’s pilot network of sensors, stationed on private wells new Paso Robles, California. The data was collected between January and August, 2014, and confirms impacts of drought, pumping and local geographies.
The conclusions of the scientists and implications of the Wellntel’s innovation are highly promising. Whereas in the past, scientists depended on “sparse data” — measurements taken only every few months or a few times a year and from a limited system of test wells on public lands — the Wellntel aggregated information is almost continuous and can be located in very close quarters, so it dramatically improves the quality of a model, creating opportunities for local awareness and cooperation on informed responses to protect property values and agricultural interests.
Download the complete report at this link.