H007
Advances in Low-Cost and Participatory Approaches for Hydroclimatic Monitoring
Session ID#: 160229
Session Description:
In a world where increasing water demand as well as climate and land use change will put additional pressure on water resources, the availability of reliable hydroclimatic data is more crucial than ever. Thus, developing and testing monitoring approaches that can even be used in regions with limited access to (financial) resources is vital. The recent advances in sensor technology, combined with reduced costs of equipment and the increasing participation of the general public in data collection (i.e., through crowdsourcing or citizen science) presents a unique opportunity to increase and reinforce the amount of monitoring stations and hydroclimatic data worldwide.
Therefore, this session invites contributions in the field of hydroclimatic monitoring, demonstrating (1) innovative and scalable monitoring approaches, (2) the application of low-cost technologies (e.g., for water quality, water flow, weather), or (3) methods that foster participation of the non-scientific community.
Index Terms:
1848 Monitoring networks [HYDROLOGY]
1880 Water management [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]
Primary Convener: Suzanne Robin Jacobs, Justus Liebig University Giessen, Centre for International Development and Environmental Research (ZEU), Giessen, Germany
Convener: Björn Weeser, Justus Liebig University Giessen, Centre for International Development and Environmental Research (ZEU), Giessen, Germany
Development of Low-Cost Handheld Soil Moisture Measurement Device for Farmers and Citizen Scientists (1082943)
Siddhesh Mane1, Anant Kanungo2, Gurjeet Singh3 and Narendra N Das3, (1)Michigan State University, Biosystems and Agricultural Engineering, East Lansing, United States, (2)Intern, NASA Jet Propulsion Laboratory, Pasadena, United States, (3)Michigan State University, Civil and Environmental Engineering, East Lansing, United States
Low-Cost Soil Moisture Sensors as an Alternative to Calibrate Hydrus Infiltration Model (1087892)
Dimaghi Schwamback1,2, Alex Kobayashi3, Alex Marcel Watanabe Sr4, Lucas Cardozo Scutti Sr5, Felipe Adauto de Oliveira Zepon Sr6, Luis Salas Castro Sr.7, Edson Wendland1, Ronny Berndtsson2 and Magnus Persson2, (1)São Carlos School of Engineering, University of São Paulo, Department of Hydraulics and Sanitation, São Carlos, Brazil, (2)Lund University, Water Resources Engineering, Lund, Sweden, (3)USP University of Sao Paulo, São Carlos School of Engineering, Hydraulics and Sanitary Engineering, São Carlos, Brazil, (4)University of São Paulo, Department of Hydraulics and Sanitation, São Carlos, Brazil, (5)University of São Paulo, São Carlos, Brazil, (6)Federal University of São Carlos, São Carlos, Brazil, (7)University of Sao Paulo, Hydralics and Sanitation, Sao Carlos, Brazil
Low Cost Sensors from TAHMO and TWIGA: Development, Deployment and Governance (DDG). (1110315)
John Steven Selker, Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States, Nick Van De Giesen, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands, Frank O Annor, Delft University of Technology & TAHMO, Delft, Netherlands, Hessel Winsemius, Deltares, Delft, Netherlands, Jan Friesen, Helmholtz Centre for Environmental Research - UFZ, Catchment Hydrology, Halle, Germany and Rick Hagenaars, TAHMO, Delft, Netherlands
Scheduling Sampling Intervals for Streamflow Estimation via Neural Networks (1146080)
Adil Ashraf, University of Manchester, Department of Mechanical, Aerospace and Civil Engineering, Manchester, M13, United Kingdom, Andrea Bottacin-Busolin, University of Padua, Department of Industrial Engineering, Padua, Italy and Julien J Harou, University of Manchester, Department of Mechanical, Aerospace and Civil Engineering, Manchester, United Kingdom
