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Crowdsourced approaches for stage measurements at ungauged locations using smartphones |
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| Authors: | Yusuf Sermet Paul Villanueva Muhammed Ali Sit Ibrahim Demir |
| Institution: | 1. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USAmuhammedyusuf-sermet@uiowa.edu![ORCID Icon]({"type":"image","src":"/templates/jsp/images/orcid.png"} "ORCID Icon") https://orcid.org/0000-0003-1516-8335;3. Department of Bioinformatics and Computational Biology, Iowa State University, Ames, Iowa, USA;4. Informatics Program, University of Iowa, Iowa City, Iowa, USAhttps://orcid.org/0000-0002-2707-6692;5. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA;6. Department of Civil and Environmental Engineering, University of Iowa, Iowa City, Iowa, USAhttps://orcid.org/0000-0002-0461-1242 |
| Abstract: | ABSTRACTThe growing availability of smart devices with advanced sensors has increased the opportunities for citizen science applications for environmental monitoring. Accurate and widespread monitoring of river stage is vital for modeling water resources. Reliable data points are required for model calibration and validation in forecast studies. While current embedded monitoring systems provide accurate measurements, the cost to replicate these systems on a large domain is prohibitively expensive, limiting the quantity of data available. This project describes a new method to accurately measure river levels using smartphone sensors. Pictures of the same point on the river’s surface are taken to perform calculations based on the GPS location and spatial orientation of the smartphone. The proposed implementation is significantly more accessible than existing water measuring systems while offering similar accuracy. A case study is performed to evaluate the accuracy and sensitivity of the measurements to changes in distance. |
| Keywords: | water level measurement elevation estimation virtual sensor citizen science hydrologic data retrieval |