SBIR/STTR Research Award

Snow Water Content Sensor - Application Research of Cosmic Ray Attenuation Principal for Snow Water Content

Award identifier 70fe20f68d41b6bf59514850133f13bb2cc4db18e1ea767ce341023e569cc800Awarding agency Department of Agriculture

Award amount

$99,740

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Agriculture
Branch
Not reported
Recipient company
ALPINE HYDROMET
Proposal award date
2019-06-12
Contract end date
2020-02-29
UEI
CCTQH2C5UL63
Solicitation number
USDA-NIFA-SBIR-006649
Topic code
8.4

Research abstract

lpine Hydromet sets out to research and further develop a next generation snow water contentsensors. The development will allow Federal State and private agencies to phase out the use oflegacy snow water content sensors (fluid snow pillows) which have significant technologicallimitations and environmental concerns due to the measurement principals and use of anti-freeze.The project objective is to research design and test the cosmic ray detector which eliminates allmajor known issues with current snow water equivalent remote continuous monitoring. nsorssimultaneously at an existing snow water content monitoring site. Research has been conductedthat demonstrates proof of concept and theoretical feasibility. There remain unknown factors thatneed to be researched prior to incorporation into a design before agencies will begin to phase outcurrent sensors.Additional research will be conducted for the sensor to reduce the costs improve electornics andsignal processing and understand potential temporal variation. The project will be guided andreviewed by a committee of leading snow hydrologists who work with current networks forwater supply and flood forecasting. This will aid in providing peer reviewed design and dataanalysis prior to entering Phase II for product commercialization.The research of both sensors will lead to the development and commercialization of a new agesnow water content sensor allowing for the phase out of fluid based sensors. This will directlyalleviate environmental impacts improve data reliability and minimize reoccurring costs for theoperators.

Technology keywords

Not reported

Awards with the same topic code

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Agency intelligence

Department of Agriculture

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