Citizen science flow – an assessment of simple streamflow measurement methods

<p>Wise management of water resources requires data. Nevertheless, the amount of streamflow data being collected globally continues to decline. Generating hydrologic data together with citizen scientists can help fill this growing hydrological data gap. Our aim herein was to (1) perform an ini...

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Main Authors: J. C. Davids, M. M. Rutten, A. Pandey, N. Devkota, W. D. van Oyen, R. Prajapati, N. van de Giesen
Format: Article
Language:English
Published: Copernicus Publications 2019-02-01
Series:Hydrology and Earth System Sciences
Online Access:https://www.hydrol-earth-syst-sci.net/23/1045/2019/hess-23-1045-2019.pdf
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spelling doaj-5d304a6ab59148b6a75335f1ba97c50c2020-11-25T00:30:37ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382019-02-01231045106510.5194/hess-23-1045-2019Citizen science flow – an assessment of simple streamflow measurement methodsJ. C. Davids0J. C. Davids1M. M. Rutten2A. Pandey3N. Devkota4W. D. van Oyen5R. Prajapati6N. van de Giesen7Water Management, Civil Engineering and Geosciences, Delft University of Technology, Building 23, Stevinweg 1, 2628 CN, Delft, the NetherlandsSmartPhones4Water, 3881 Benatar Way, Suite G, Chico, California 95928, USAEngineering and Applied Sciences, Rotterdam University, G.J. de Jonghweg 4–6, 3015 GG, Rotterdam, the NetherlandsSmartPhones4Water–Nepal, Damodar Marg, Thusikhel, 44600, Lalitpur, NepalSmartPhones4Water–Nepal, Damodar Marg, Thusikhel, 44600, Lalitpur, NepalEngineering and Applied Sciences, Rotterdam University, G.J. de Jonghweg 4–6, 3015 GG, Rotterdam, the NetherlandsSmartPhones4Water–Nepal, Damodar Marg, Thusikhel, 44600, Lalitpur, NepalWater Management, Civil Engineering and Geosciences, Delft University of Technology, Building 23, Stevinweg 1, 2628 CN, Delft, the Netherlands<p>Wise management of water resources requires data. Nevertheless, the amount of streamflow data being collected globally continues to decline. Generating hydrologic data together with citizen scientists can help fill this growing hydrological data gap. Our aim herein was to (1) perform an initial evaluation of three simple streamflow measurement methods (i.e., float, salt dilution, and Bernoulli run-up), (2) evaluate the same three methods with citizen scientists, and (3) apply the preferred method at more sites with more people. For computing errors, we used midsection measurements from an acoustic Doppler velocimeter as reference flows. First, we (authors) performed 20 evaluation measurements in headwater catchments of the Kathmandu Valley, Nepal. Reference flows ranged from 6.4 to 240&thinsp;L&thinsp;s<span class="inline-formula"><sup>−1</sup></span>. Absolute errors averaged 23&thinsp;%, 15&thinsp;%, and 37&thinsp;% with average biases of 8&thinsp;%, 6&thinsp;%, and 26&thinsp;% for float, salt dilution, and Bernoulli methods, respectively. Second, we evaluated the same three methods at 15 sites in two watersheds within the Kathmandu Valley with 10 groups of citizen scientists (three to four members each) and one “expert” group (authors). At each site, each group performed three simple methods; experts also performed SonTek FlowTracker midsection reference measurements (ranging from 4.2 to 896&thinsp;L&thinsp;s<span class="inline-formula"><sup>−1</sup></span>). For float, salt dilution, and Bernoulli methods, absolute errors averaged 41&thinsp;%, 21&thinsp;%, and 43&thinsp;% for experts and 63&thinsp;%, 28&thinsp;%, and 131&thinsp;% for citizen scientists, while biases averaged 41&thinsp;%, 19&thinsp;%, and 40&thinsp;% for experts and 52&thinsp;%, 7&thinsp;%, and 127&thinsp;% for citizen scientists, respectively. Based on these results, we selected salt dilution as the preferred method. Finally, we performed larger-scale pilot testing in week-long pre- and post-monsoon Citizen Science Flow campaigns involving 25 and 37 citizen scientists, respectively. Observed flows (<span class="inline-formula"><i>n</i>=131</span> pre-monsoon; <span class="inline-formula"><i>n</i>=133</span> post-monsoon) were distributed among the 10 headwater catchments of the Kathmandu Valley and ranged from 0.4 to 425&thinsp;L&thinsp;s<span class="inline-formula"><sup>−1</sup></span> and from 1.1 to 1804&thinsp;L&thinsp;s<span class="inline-formula"><sup>−1</sup></span> in pre- and post-monsoon, respectively. Future work should further evaluate uncertainties of citizen science salt dilution measurements, the feasibility of their application to larger regions, and the information content of additional streamflow data.</p>https://www.hydrol-earth-syst-sci.net/23/1045/2019/hess-23-1045-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. C. Davids
J. C. Davids
M. M. Rutten
A. Pandey
N. Devkota
W. D. van Oyen
R. Prajapati
N. van de Giesen
spellingShingle J. C. Davids
J. C. Davids
M. M. Rutten
A. Pandey
N. Devkota
W. D. van Oyen
R. Prajapati
N. van de Giesen
Citizen science flow – an assessment of simple streamflow measurement methods
Hydrology and Earth System Sciences
author_facet J. C. Davids
J. C. Davids
M. M. Rutten
A. Pandey
N. Devkota
W. D. van Oyen
R. Prajapati
N. van de Giesen
author_sort J. C. Davids
title Citizen science flow – an assessment of simple streamflow measurement methods
title_short Citizen science flow – an assessment of simple streamflow measurement methods
title_full Citizen science flow – an assessment of simple streamflow measurement methods
title_fullStr Citizen science flow – an assessment of simple streamflow measurement methods
title_full_unstemmed Citizen science flow – an assessment of simple streamflow measurement methods
title_sort citizen science flow – an assessment of simple streamflow measurement methods
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2019-02-01
description <p>Wise management of water resources requires data. Nevertheless, the amount of streamflow data being collected globally continues to decline. Generating hydrologic data together with citizen scientists can help fill this growing hydrological data gap. Our aim herein was to (1) perform an initial evaluation of three simple streamflow measurement methods (i.e., float, salt dilution, and Bernoulli run-up), (2) evaluate the same three methods with citizen scientists, and (3) apply the preferred method at more sites with more people. For computing errors, we used midsection measurements from an acoustic Doppler velocimeter as reference flows. First, we (authors) performed 20 evaluation measurements in headwater catchments of the Kathmandu Valley, Nepal. Reference flows ranged from 6.4 to 240&thinsp;L&thinsp;s<span class="inline-formula"><sup>−1</sup></span>. Absolute errors averaged 23&thinsp;%, 15&thinsp;%, and 37&thinsp;% with average biases of 8&thinsp;%, 6&thinsp;%, and 26&thinsp;% for float, salt dilution, and Bernoulli methods, respectively. Second, we evaluated the same three methods at 15 sites in two watersheds within the Kathmandu Valley with 10 groups of citizen scientists (three to four members each) and one “expert” group (authors). At each site, each group performed three simple methods; experts also performed SonTek FlowTracker midsection reference measurements (ranging from 4.2 to 896&thinsp;L&thinsp;s<span class="inline-formula"><sup>−1</sup></span>). For float, salt dilution, and Bernoulli methods, absolute errors averaged 41&thinsp;%, 21&thinsp;%, and 43&thinsp;% for experts and 63&thinsp;%, 28&thinsp;%, and 131&thinsp;% for citizen scientists, while biases averaged 41&thinsp;%, 19&thinsp;%, and 40&thinsp;% for experts and 52&thinsp;%, 7&thinsp;%, and 127&thinsp;% for citizen scientists, respectively. Based on these results, we selected salt dilution as the preferred method. Finally, we performed larger-scale pilot testing in week-long pre- and post-monsoon Citizen Science Flow campaigns involving 25 and 37 citizen scientists, respectively. Observed flows (<span class="inline-formula"><i>n</i>=131</span> pre-monsoon; <span class="inline-formula"><i>n</i>=133</span> post-monsoon) were distributed among the 10 headwater catchments of the Kathmandu Valley and ranged from 0.4 to 425&thinsp;L&thinsp;s<span class="inline-formula"><sup>−1</sup></span> and from 1.1 to 1804&thinsp;L&thinsp;s<span class="inline-formula"><sup>−1</sup></span> in pre- and post-monsoon, respectively. Future work should further evaluate uncertainties of citizen science salt dilution measurements, the feasibility of their application to larger regions, and the information content of additional streamflow data.</p>
url https://www.hydrol-earth-syst-sci.net/23/1045/2019/hess-23-1045-2019.pdf
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