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    Rights statement: This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, 631-632, 2018 DOI: 10.1016/j.scitotenv.2018.03.130

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Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring

Research output: Contribution to journalJournal article

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Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring. / Weeser, B.; Stenfert Kroese, J.; Jacobs, S. R.; Njue, N.; Kemboi, Z.; Ran, A.; Rufino, M. C.; Breuer, L.

In: Science of the Total Environment, Vol. 631-632, 01.08.2018, p. 1590-1599.

Research output: Contribution to journalJournal article

Harvard

Weeser, B, Stenfert Kroese, J, Jacobs, SR, Njue, N, Kemboi, Z, Ran, A, Rufino, MC & Breuer, L 2018, 'Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring', Science of the Total Environment, vol. 631-632, pp. 1590-1599. https://doi.org/10.1016/j.scitotenv.2018.03.130

APA

Weeser, B., Stenfert Kroese, J., Jacobs, S. R., Njue, N., Kemboi, Z., Ran, A., Rufino, M. C., & Breuer, L. (2018). Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring. Science of the Total Environment, 631-632, 1590-1599. https://doi.org/10.1016/j.scitotenv.2018.03.130

Vancouver

Weeser B, Stenfert Kroese J, Jacobs SR, Njue N, Kemboi Z, Ran A et al. Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring. Science of the Total Environment. 2018 Aug 1;631-632:1590-1599. https://doi.org/10.1016/j.scitotenv.2018.03.130

Author

Weeser, B. ; Stenfert Kroese, J. ; Jacobs, S. R. ; Njue, N. ; Kemboi, Z. ; Ran, A. ; Rufino, M. C. ; Breuer, L. / Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring. In: Science of the Total Environment. 2018 ; Vol. 631-632. pp. 1590-1599.

Bibtex

@article{34f71748e1ce47cdb526e02f42f85a28,
title = "Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring",
abstract = "Although water is involved in many ecosystem services, the absence of monitoring data restricts the development of effective water management strategies especially in remote regions. Traditional monitoring networks can be expensive, with unaffordable costs in many low-income countries. Involving citizens in monitoring through crowdsourcing has the potential to reduce these costs but remains uncommon in hydrology. This study evaluates the quality and quantity of data generated by citizens in a remote Kenyan basin and assesses whether crowdsourcing is a suitable method to overcome data scarcity. We installed thirteen water level gauges equipped with signboards explaining the monitoring process to passers-by. Results were sent via a text-message-based data collection framework that included an immediate feedback to citizens. A public web interface was used to visualize the data. Within the first year, 124 citizens reported 1175 valid measurements. We identified thirteen citizens as active observers providing more than ten measurements, whereas 57% only sent one record. A comparison between the crowdsourced water level data and an automatic gauging station revealed high data quality. The results of this study indicate that citizens can provide water level data of sufficient quality and with high temporal resolution.",
keywords = "East Africa, Hydrology, Kenya, Sondu catchment, Text message, Water level, Water resources management",
author = "B. Weeser and {Stenfert Kroese}, J. and Jacobs, {S. R.} and N. Njue and Z. Kemboi and A. Ran and Rufino, {M. C.} and L. Breuer",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, 631-632, 2018 DOI: 10.1016/j.scitotenv.2018.03.130",
year = "2018",
month = aug
day = "1",
doi = "10.1016/j.scitotenv.2018.03.130",
language = "English",
volume = "631-632",
pages = "1590--1599",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring

AU - Weeser, B.

AU - Stenfert Kroese, J.

AU - Jacobs, S. R.

AU - Njue, N.

AU - Kemboi, Z.

AU - Ran, A.

AU - Rufino, M. C.

AU - Breuer, L.

N1 - This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, 631-632, 2018 DOI: 10.1016/j.scitotenv.2018.03.130

PY - 2018/8/1

Y1 - 2018/8/1

N2 - Although water is involved in many ecosystem services, the absence of monitoring data restricts the development of effective water management strategies especially in remote regions. Traditional monitoring networks can be expensive, with unaffordable costs in many low-income countries. Involving citizens in monitoring through crowdsourcing has the potential to reduce these costs but remains uncommon in hydrology. This study evaluates the quality and quantity of data generated by citizens in a remote Kenyan basin and assesses whether crowdsourcing is a suitable method to overcome data scarcity. We installed thirteen water level gauges equipped with signboards explaining the monitoring process to passers-by. Results were sent via a text-message-based data collection framework that included an immediate feedback to citizens. A public web interface was used to visualize the data. Within the first year, 124 citizens reported 1175 valid measurements. We identified thirteen citizens as active observers providing more than ten measurements, whereas 57% only sent one record. A comparison between the crowdsourced water level data and an automatic gauging station revealed high data quality. The results of this study indicate that citizens can provide water level data of sufficient quality and with high temporal resolution.

AB - Although water is involved in many ecosystem services, the absence of monitoring data restricts the development of effective water management strategies especially in remote regions. Traditional monitoring networks can be expensive, with unaffordable costs in many low-income countries. Involving citizens in monitoring through crowdsourcing has the potential to reduce these costs but remains uncommon in hydrology. This study evaluates the quality and quantity of data generated by citizens in a remote Kenyan basin and assesses whether crowdsourcing is a suitable method to overcome data scarcity. We installed thirteen water level gauges equipped with signboards explaining the monitoring process to passers-by. Results were sent via a text-message-based data collection framework that included an immediate feedback to citizens. A public web interface was used to visualize the data. Within the first year, 124 citizens reported 1175 valid measurements. We identified thirteen citizens as active observers providing more than ten measurements, whereas 57% only sent one record. A comparison between the crowdsourced water level data and an automatic gauging station revealed high data quality. The results of this study indicate that citizens can provide water level data of sufficient quality and with high temporal resolution.

KW - East Africa

KW - Hydrology

KW - Kenya

KW - Sondu catchment

KW - Text message

KW - Water level

KW - Water resources management

U2 - 10.1016/j.scitotenv.2018.03.130

DO - 10.1016/j.scitotenv.2018.03.130

M3 - Journal article

AN - SCOPUS:85044162436

VL - 631-632

SP - 1590

EP - 1599

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -