H079
Hydrological Sensing Systems and Networks
Session ID#: 75861
Session Description:
The use and sophistication of sensor networks in hydrology have increased rapidly over the past decade. Such networks, and data transmission protocols, have been aided by advances in Information and Communication Technologies, as well as the global increase in cellular network coverage. This session will interrogate how these technologies can be leveraged to advance hydrological data collection, ranging from new networking techniques to optimisation of network design, such as the use of large numbers of smart sensors, synchronicity in measurements, and improvements in power efficiency. We also welcome showcases related to applications in other environmental sensing areas such as early warning systems for hazards, automated irrigation, and sanitation distribution systems, among others. We call for papers on all aspects of sensor networks in water-related fields, including integration of sensor data in models, new developments in networking, and case studies of sensor networks in practice.
Index Terms:
1848 Monitoring networks [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
Primary Convener: Jonathan D. Paul, Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom
Conveners: Peter Marchetto, University of Minnesota Twin Cities, Minneapolis, MN, United States, Feng Mao, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, B15, United Kingdom and Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, United Kingdom
Primary Liaison: Jonathan D. Paul, Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom
The first five years of the Trans-African Hydro-Meteorological observatory (TAHMO): From nice idea to a network of 500+ stations (Invited) (485813)
Nick Van De Giesen1, Frank O Annor2, Rebecca Hochreutener3 and John S Selker3, (1)Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands, (2)TU Delft, Civil Engineering & Geosciences, Delft, Netherlands, (3)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
Using in situ Water Quality Sensors on Stream Banks and Boats to Characterize U.S. Cornbelt Stream Conditions and Farm Practice Effectiveness (486842)
Christopher S Jones, University of Iowa, Iowa City, IA, United States, Keith E Schilling, Iowa DNR-Geological Survey, Iowa City, IA, United States and Matthew Meulemans, University of Iowa, Engineering, Iowa City, IA, United States
Application of high-resolution telemetered sensor technology to develop conceptual models of catchment hydrogeological processes (488405)
Richard James Cooper1, Kevin M Hiscock1, Andrew A Lovett1, Stephen J Dugdale1, Gisela Sunnenberg1, Nicholas L Garrard1, Faye Outram2, Zanist Q Hama-Aziz3 and Melinda Lewis4, (1)University of East Anglia, School of Environmental Sciences, Norwich, United Kingdom, (2)University of East Anglia, Norwich, United Kingdom, (3)Charmo University, Chamchamal-Sulaimani,, Iraq, (4)British Geological Survey, Wallingford, United Kingdom
A Protocol for Korean Soil Moisture Network via Satellite, Model, and Ground Observations (513823)
Jaehwan Jeong1, Hoang Hai Nguyen2, Kiyoung Kim3, Yeongil Lee3, Sungwon Jung3 and Minha Choi2, (1)Sungkyunkwan University, Environment and Remote Sensing Laboratory, Department of Water Resources, Graduate School of Water Resources, Suwon, Gyeonggi-do, Korea, Republic of (South), (2)Sungkyunkwan University, Environment and Remote Sensing Laboratory, Department of Water Resources, Graduate School of Water Resources, Suwon, Gyeonggi-do, South Korea, (3)Korea Institute of Hydrological Survey, Ilsan, South Korea
The National Soil Moisture Network: Building a strategy from the ground up (516149)
Michael H Cosh, USDA Agricultural Research Service New England Plant, Soil and Water Research Laboratory, East Wareham, MA, United States, Jordan A Clayton, Organization Not Listed, Washington, DC, United States, Steven M Quiring, Ohio State University, Columbus, OH, United States, Tyson E. Ochsner, Oklahoma State University, Plant and Soil Sciences, Stillwater, OK, United States, Mary Woloszyn, University of Illinois at Urbana Champaign, Urbana, IL, United States, Bruce Baker, NOAA College Park, Oak Ridge, TN, United States, John D Bolten, NASA GSFC, Greenbelt, MD, United States, Mark D. Svoboda, University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, NE, United States and Peter Goble, Colorado State University, Atmospheric Science, Fort Collins, CO, United States
Opportunistic sensing of rainfall using microwave links from cellular communication networks in Africa and Asia (516775)
Thomas van Leth, Wageningen University and Research Center, Wageningen, Netherlands, Aart Overeem, Royal Netherlands Meteorological Institute, De Bilt, 3730, Netherlands, Hidde Leijnse, KNMI, De Bilt, Netherlands and Remko Uijlenhoet, Wageningen University and Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands
Integrating a Soil Ecosystem Observatory into studying Soil-Plant-Atmosphere Water and Gas Flux (534923)
Michael F Allen, University of California Riverside, Center for Conservation Biology, Riverside, CA, United States, Michael C Taggart, RhizoSystems LLC, Camas, WA, United States, George Rothbart, RhizoSystems LLC, Camas, United States, Thomas C Harmon, Univ California Merced, Merced, CA, United States and Rebecca R Hernandez, University of California, Berkeley, CA, United States
Water quantity and quality sensor networks for small urban streams (547695)
Christopher Post, Mohammad Mayyan, Pinak Kelkar, Akshay Bapat, Vishwas Powar, Paul Minerva, Jemiah Clyburn, Chuck Cook, Clifford Harmstad, Nirnay Jay, Kelly Kruzner and Elena A Mikhailova, Clemson University, Clemson, SC, United States
Integrating Hybrid-Clustering and Localized Regression for Time Synchronization of Underwater Wireless Sensor Networks (562610)
Tao Fu1, Xinming Lin2, Zhangshuan Hou3 and Ziqun Deng1, (1)Pacific Northwest National Laboratory, EED/Hydrology, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)Pacific Northwest National Laboratory, Energy and Environment Directorate, Richland, WA, United States
Pervasive sensor networks for river stage monitoring and discharge estimation (578466)
Neeraj Kumar Sah1, Simon Moulds1, Boris F Ochoa-Tocachi2, Jonathan David Paul3, Clara Gimeno Jésus3 and Wouter Buytaert4, (1)Imperial College London, London, United Kingdom, (2)Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom, (3)Imperial College London, Civil and Environmental Engineering, London, United Kingdom, (4)Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, United Kingdom
Riverscape mapping with an open-source autonomous surface watercraft (586014)
James T. Dietrich, University of Northern Iowa, Geography, Cedar Falls, IA, United States, Mark A Fonstad, University of Oregon - 1299, Eugene, OR, United States and Aaron Zettler-Mann, University of Oregon, Eugene, OR, United States
The Heihe Integrated Observatory Network in China (597213)
Ziwei Xu1, Shaomin Liu1, Xin Li2, Tao Che3, Zhiguo Ren3, Yang Zhang3 and Junlei Tan3, (1)Faculty of Geographical Science, Beijing Normal University, Beijing, China, (2)Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China, (3)Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
Toward Massively-scalable Hydrologic Sensor Networks (632156)
Branko Kerkez, University of Michigan Ann Arbor, Civil and Environmental Engineering, Ann Arbor, MI, United States and Brandon Preclaro Wong, University of Michigan Ann Arbor, Ann Arbor, MI, United States
