H110
Uncertainty and Error in Hydrological Citizen Science Observations

Session ID#: 156874

Session Description:
The engagement of non-scientists in data collection and analysis has greatly enriched many areas of hydrologic research. However, owing to the non-professional nature and variable skills of citizen scientists, this approach typically entails significant biases and uncertainty. The low-quality, qualitative, and fragmentary nature of many of these hydrologic datasets engenders a lack of trust – for academic and industrial workers, and policymakers – that may reduce their uptake and preclude future operationalisation of proof-of-concept studies. A generalised lack of formal data validation also raises questions about their utility. It is therefore critical to bracket uncertainty and properly characterise error in such citizen-collected hydrologic datasets.

We welcome submissions across all hydrologic data collection activities including those related to natural hazards. This session aims to showcase analytical and numerical techniques to quantify and tackle uncertainty and error in such datasets, as well as proof-of-concept and field-based examples of data collection activities.

Index Terms:

1848 Monitoring networks [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]
1880 Water management [HYDROLOGY]
9810 New fields (not classifiable under other headings) [GENERAL OR MISCELLANEOUS]


Primary Convener:  Jonathan D. Paul, Royal Holloway University of London, Department of Earth Sciences, Egham, United Kingdom
Conveners:  Jessica Abbie Eisma, University of Texas at Arlington, Civil Engineering, Arlington, TX, United States and Jeffrey C. Davids, California State University Chico, Chico, CA, United States
Student/Early Career Convener:  Rajaram Prajapati, Smartphones For Water Nepal, Lalitpur, Nepal
 
Quality Assessment and Quality Control of Precipitation Measurement: Procedures, Challenges, and Solution Pathways in the Trans-African Hydro-Meteorological Observatory (TAHMO) (Invited) (1043799)
Nick Van De Giesen1, Frank O Annor2, Bokuretsion Estifanos3, Thomas Dietterich4, Dimos Touloumidis5, Rick Hagenaars3, John Steven Selker6, Michael Slater4, Irené Tematelewo4 and Tadesse ZeMichael4, (1)Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands, (2)Delft University of Technology & TAHMO, Delft, Netherlands, (3)TAHMO, Delft, Netherlands, (4)Oregon State University, Corvallis, United States, (5)Delft University of Technology, Delft, Netherlands, (6)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
 
Uncertainty and Error in Discharge Citizen Science Observations Using the DischargeApp (1055858)
Salvador Pena-Haro and Beat Lüthi, photrack AG, Zurich, Switzerland
 
Citizen scientists shed light on aquatic foodwebs in Grand Canyon, USA (1075950)
Anya Metcalfe, Flagstaff, AZ, UNITED STATES and Theodore Alan Kennedy, USGS Grand Canyon Monitoring and Research Center, Flagstaff, AZ, United States
 
Opportunities for crowdsourcing in urban flood monitoring (1127412)
Alysha Helmrich1, Benjamin L Ruddell2, Kelly Bessem2, Mikhail Chester3, Nicholas Chohan2, Eck Doerry4, Joseph Eppinger2, Margaret Ellen Garcia5, Jonathan L Goodall6, Christopher Lowry7 and Faria T Zahura8, (1)University of Georgia, Athens, GA, United States, (2)Northern Arizona University, School of Informatics, Computing, and Cyber Systems, Flagstaff, AZ, United States, (3)Arizona State University, Tempe, AZ, United States, (4)Northern Arizona University, School of Informatics, Computing, and Cyber System, Flagstaff, AZ, United States, (5)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States, (6)University of Virginia, Engineering Systems and Environment, Charlottesville, VA, United States, (7)University at Buffalo, Geology, Buffalo, NY, United States, (8)University of Virginia, Charlottesville, VA, United States
 
Improving Urban Pluvial Flooding Characterization and Modeling Through a Citizen Science Approach (1131038)
Koorosh Azizi, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, United States and Claudio I Meier, University of Memphis, Department of Civil Engineering, Memphis, TN, United States
 
Evaluation of Citizen Science-Based Rainfall data with Standard Ground-Based Rain Gauge and Remotely Sensed Rainfall data in the Kathmandu Valley (1141317)
Sudeep Duwal1,2, Bijay Man Shakya1, Anusha Chalise1, Hanik Lakhe1,3, Priya Silwal1, Rajaram Prajapati1,4 and Rocky Talchabhadel5, (1)Smartphones For Water Nepal, Lalitpur, Nepal, (2)Tribhuvan University, Central Department of Environmental Science, Kathmandu, Nepal, (3)Khwopa College, Bhaktapur, Nepal, (4)University of Pittsburgh, Pittsburgh, United States, (5)Texas A&M University, Texas A&M AgriLife Research, Texas, United States
 
Mobilizing Citizen Science: Shallow Groundwater Level Fluctuation in Different Landuse Class of the Kathmandu Valley (1141905)
Anusha Chalise1, Priya Silwal1, Hanik Lakhe1,2, Sudeep Duwal1,3, Shreeben Shakya1,2, Rajaram Prajapati1,4,5, Bimala Ghale1,6 and Bijay Man Shakya1, (1)Smartphones For Water Nepal, Lalitpur, Nepal, (2)Khwopa College, Bhaktapur, Nepal, (3)Tribhuvan University, Central Department of Environmental Science, Kathmandu, Nepal, (4)University of Pittsburgh, Pittsburgh, United States, (5)University of Pittsburgh, Pittsburgh, PA, United States, (6)Tri-Chandra Multiple Campus, Department of Meteorology, Kathmandu, Nepal
 
Evaluation of Interconnection between Streamflow and Rainfall in Headwater Streams of the Kathmandu Valley (1142601)
Rohinee Bishwas1,2, Hanik Lakhe2, Sudeep Duwal2,3, Anusha Chalise2, Shreeben Shakya1,2, Rajaram Prajapati2 and Bijay Man Shakya2, (1)Khwopa College, Bhaktapur, Nepal, (2)Smartphones For Water Nepal, Lalitpur, Nepal, (3)Tribhuvan University, Central Department of Environmental Science, Kathmandu, Nepal
 
Application of Water Quality Index for Groundwater Quality Assessment and its Perspective among the Urban Dwellers of the Kathmandu Valley, Nepal (1142768)
Hanik Lakhe1,2, Priya Silwal2,3, Anusha Chalise2, Sudeep Duwal2,4, Shreeben Shakya2, Rajaram Prajapati2,5 and Bijay Man Shakya2, (1)Khwopa College, Bhaktapur, Nepal, (2)Smartphones For Water Nepal, Lalitpur, Nepal, (3)Macquarie University, Sydney, NSW, Australia, (4)Tribhuvan University, Central Department of Environmental Science, Kathmandu, Nepal, (5)University of Pittsburgh, Pittsburgh, United States
 
Data Quality Assurance in Hydrological Programs Based on Citizen Science: Practices and Opportunities (1146771)
Robert Stevenson, University of Massachusetts Boston, Boston, MA, United States
 
Quantifying the effects of participatory science on seasonal snow modeling outputs using the Community Snow Observations dataset (1152474)
Ryan Landon Crumley1, David Hill2, Christina Aragon3, Anthony A Arendt4, Emilio Mayorga5, Katreen Wikstrom Jones6 and Gabriel J Wolken6, (1)Los Alamos National Laboratory, Earth and Environment Sciences, Los Alamos, NM, United States, (2)Oregon State University, Civil & Construction Engineering, Corvallis, OR, United States, (3)Oregon State University, Water Resources Engineering, Corvallis, OR, United States, (4)eScience Institute University of Washington, Seattle, United States, (5)Applied Physics Laboratory University of Washington, Seattle, WA, United States, (6)Alaska Division of Geological and Geophysical Surveys, Fairbanks, AK, United States
 
Virtual Observatories for Hydro-meteorological Observation. (1190215)
Tribikram Basnet1, Dhiraj Pradhananga2, Nicky Shree Shrestha1, Bhawani S Dongol1, Bhanu Neupane3, Mohan R Jaishi1 and Basant Pratap Singh1, (1)The Small Earth Nepal, Kathmandu, Nepal, (2)Tribhuvan University, Department of Meteorology, Tri-Chandra Multiple Campus, Kathmandu, Nepal, (3)UNESCO, Paris Cedex 15, France
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