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Technical report: The design and evaluation of a basin‐scale wireless sensor network for mountain hydrology
Author(s) -
Zhang Ziran,
Glaser Steven D.,
Bales Roger C.,
Conklin Martha,
Rice Robert,
Marks Danny G.
Publication year - 2017
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2016wr019619
Subject(s) - environmental science , dew point , snow , snowpack , hydrology (agriculture) , wireless sensor network , relative humidity , meteorology , geology , computer science , geography , computer network , geotechnical engineering
A network of sensors for spatially representative water‐balance measurements was developed and deployed across the 2000 km 2 snow‐dominated portion of the upper American River basin, primarily to measure changes in snowpack and soil‐water storage, air temperature, and humidity. This wireless sensor network (WSN) consists of 14 sensor clusters, each with 10 measurement nodes that were strategically placed within a 1 km 2 area, across different elevations, aspects, slopes, and canopy covers. Compared to existing operational sensor installations, the WSN reduces hydrologic uncertainty in at least three ways. First, redundant measurements improved estimation of lapse rates for air and dew‐point temperature. Second, distributed measurements captured local variability and constrained uncertainty in air and dew‐point temperature, snow accumulation, and derived hydrologic attributes important for modeling and prediction. Third, the distributed relative‐humidity measurements offer a unique capability to monitor upper‐basin patterns in dew‐point temperature and characterize elevation gradient of water vapor‐pressure deficit across steep, variable topography. Network statistics during the first year of operation demonstrated that the WSN was robust for cold, wet, and windy conditions in the basin. The electronic technology used in the WSN‐reduced adverse effects, such as high current consumption, multipath signal fading, and clock drift, seen in previous remote WSNs.