H53P:
Sensor Networks in Hydrology II Posters


Submit an Abstract to this Session


Session ID#: 43557

Session Description:
In the past decade, the use of field-based sensors in hydrology and water resources management has increased rapidly. Networks of such sensors, and transmission of their data, have been aided by advances in ICT and wireless technologies emerging from the Internet of Things, as well as the global increase in cellphone coverage. This session will interrogate how these technologies can be leveraged to advance hydrological data collection, ranging from new sensing technologies to exploiting specific characteristics of sensor networks such as the use of large numbers of sensors, and synchronicity in measurements. We also welcome showcases related to concrete applications in areas such as hazard early warning systems, automated irrigation, sanitation distribution systems, amongst others. We call for papers on all aspects of sensor networks, including integration of sensor data in models, new developments in networking, and case studies of sensor networks in practice.
Primary Convener:  Jonathan D. Paul, Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom
Conveners:  Feng Mao1, Prof. David M. Hannah, PhD1 and Wouter Buytaert2, (1)University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, United Kingdom(2)Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom
Primary Liaison:  Jonathan D. Paul, Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom
Chairs:  Jonathan D. Paul, Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom and Feng Mao, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, United Kingdom
OSPA Liaison:  Jonathan D. Paul, Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom

Cross-Listed:
  • NH - Natural Hazards
Index Terms:

1847 Modeling [HYDROLOGY]
1848 Monitoring networks [HYDROLOGY]
1874 Ungaged basins [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]

Abstracts Submitted to this Session:

A Dissolved Oxygen and Temperature Monitoring System for Remote, Autonomous, In-situ Studies of River and Subsurface Environments Over Multiple Seasons. (449181)
Dean Shooltz1, Ruby N Ghosh1, Michael J Freeman2 and Kenneth Hurst Williams3, (1)Opti O2, Okemos, MI, United States, (2)Opti O2, LLC, Okemos, MI, United States, (3)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, United States
An Acoustic Telemetry System for Ecohydrology Research (456000)
Tao Fu and Ziqun Deng, Pacific Northwest National Laboratory, EED/Hydrology, Richland, WA, United States
Automated flux chamber networks for aquatic methane and carbon dioxide studies – on challenges, progress and implementation of the next improved generation (463746)
Nguyen T. Duc, Linköping University, Linköping, Sweden and David Bastviken, Linköping University, Department of Thematic Studies – Environmental Change, Linköping, Sweden
Calibration of Cosmic Ray Neutron Sensors in different land-use/land covers: A modeling approach (468621)
Siddharth Singh, Texas A&M University College Station, College Station, TX, United States, Nandita Gaur, Texas A&M University, College Station, United States and Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States
How ICT can advance reservoir water level predictions using machine learning techniques (447661)
Taegon Kim1, Won-Ho Nam2, Eun-Mi Hong3, Timothy Smith4, Tae-Hyun Ha5, Jong-Won Do5, Sang-Il Lee5 and Kwang-Ya Lee5, (1)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, MN, United States, (2)Hankyong National University, School of Social Safety and Systems Engineering, Anseong, South Korea, (3)Kangwon National University, School of Natural Resources and Environmental Science, Chuncheon, South Korea, (4)Cooperative Institute for Research in Environmental Sciences, CU Boulder / PSL / NOAA, Boulder, CO, United States, (5)Agricultural Drought Mitigation Center, Korea Rural Community Corporation, Daejeon, South Korea
Low-cost LiDAR Sensor Networks for Water Level Measurements and Discharge Calculations (381896)
Neeraj Kumar Sah, Imperial College London, London, SW7, United Kingdom, Jonathan D. Paul, Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom and Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom
Monitoring Freshwater Habitats - Advanced Tracking and Sensing Technologies (439049)
Xinya Li1, Ziqun Deng2, Tao Fu2 and Jayson J Martinez2, (1)Pacific Northwest National Lab, EED/Hydrology, Richland, WA, United States, (2)Pacific Northwest National Laboratory, EED/Hydrology, Richland, WA, United States
Potential use of hydro turbine to make in-situ surface water quality sensors self-powered (441584)
Iman Maghami1, Jonathan L Goodall2, Victor Leal Sobral2 and John Lach1, (1)University of Virginia, Charlottesville, VA, United States, (2)University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States
The Application of an Internet of Things Cyber-Infrastructure for the Study of Ecology of Lake George in the Jefferson Project (424478)
Eli Michael Dow1, Anthony P Praino2, Michael Kelly3, Vincent W Moriarty4, Guillaume Auger5, Campbell Watson6 and Lloyd A. Treinish2, (1)IBM Research USA, Yorktown Heights, NY, United States, (2)IBM Thomas J. Watson Research Center, Atmospheric Science, Yorktown Heights, United States, (3)IBM Research USA, Yorktown Heights, United States, (4)IBM Thomas J. Watson Research Center, Environmental Science, Yorktown Heights, NY, United States, (5)IBM Research, Yorktown Heights, NY, United States, (6)IBM Research, Yorktown Heights, United States
Using optical sensors rainfall measurements for urban hydrology (407570)
Ehsan Rabiei, Jan Hake, Franziska Verworn and Alexander Verworn, Organization Not Listed, Hannover, Germany

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