Sensors in the Stream: The High-Frequency Wave of the Present | Zendy

Michael Rode | Zendy; Andrew J. Wade | Zendy; Matthew J. Cohen | Zendy; Robert T. Hensley | Zendy; Michael J. Bowes | Zendy; James W. Kirchner | Zendy; George B. Arhonditsis | Zendy; Phil Jordan | Zendy; Brian Kronvang | Zendy; Sarah Halliday | Zendy; R. A. Skeffington | Zendy; Joachim Rozemeijer | Zendy; Alice H. Aubert | Zendy; Karsten Rinke | Zendy; Seifeddine Jomaa | Zendy

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Sensors in the Stream: The High-Frequency Wave of the Present

Author(s) -

Michael Rode,

Andrew J. Wade,

Matthew J. Cohen,

Robert T. Hensley,

Michael J. Bowes,

James W. Kirchner,

George B. Arhonditsis,

Phil Jordan,

Brian Kronvang,

Sarah Halliday,

R. A. Skeffington,

Joachim Rozemeijer,

Alice H. Aubert,

Karsten Rinke,

Seifeddine Jomaa

Publication year - 2016

Publication title -

environmental science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.851

H-Index - 397

eISSN - 1520-5851

pISSN - 0013-936X

DOI - 10.1021/acs.est.6b02155

Subject(s) - environmental science , water quality , watershed , turbidity , dissolved organic carbon , streams , remote sensing , hydrology (agriculture) , computer science , ecology , engineering , geography , geology , oceanography , geotechnical engineering , machine learning , biology , computer network

New scientific understanding is catalyzed by novel technologies that enhance measurement precision, resolution or type, and that provide new tools to test and develop theory. Over the last 50 years, technology has transformed the hydrologic sciences by enabling direct measurements of watershed fluxes (evapotranspiration, streamflow) at time scales and spatial extents aligned with variation in physical drivers. High frequency water quality measurements, increasingly obtained by in situ water quality sensors, are extending that transformation. Widely available sensors for some physical (temperature) and chemical (conductivity, dissolved oxygen) attributes have become integral to aquatic science, and emerging sensors for nutrients, dissolved CO 2 , turbidity, algal pigments, and dissolved organic matter are now enabling observations of watersheds and streams at time scales commensurate with their fundamental hydrological, energetic, elemental, and biological drivers. Here we synthesize insights from emerging technologies across a suite of applications, and envision future advances, enabled by sensors, in our ability to understand, predict, and restore watershed and stream systems.

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