Long-term Monitoring of the Sierra Nevada Snowpack Using Wireless Sensor NetworksReport as inadecuate

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1 CEE - Department of Civil and Environmental Engineering University of California 2 EVA - Wireless Networking for Evolving & Adaptive Applications Inria de Paris

Abstract : Historically, the study of mountain hydrology and the water cycle has been largely observational, with meteorological forcing and hydrological variables extrapolated from a few infrequent manual measurements. Recent developments in Internet of Things IoT technology are revolutionizing the field of mountain hydrology. Low-power wireless sensor networks can now generate denser data in real-time and for a fraction of the cost of labor-intensive manual measurement campaigns.The American River Hydrological Observatory ARHO project has deployed thirteen low-power wireless IoT networks throughout the American River basin to monitor California’s snowpack. The networks feature a total of 945 environmental sensors, each reporting a reading every 15 minutes. The data reported is made available to the scientific community minutes after it is generated.This paper provides an in-depth technical description of the ARHO project. It details the requirements and different technical options, describes the technology deployed today, and discusses the challenges associated with large-scale environmental monitoring in extreme conditions.

Author: Ziran Zhang - Steven D. Glaser - Thomas Watteyne - Sami Malek -

Source: https://hal.archives-ouvertes.fr/


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