Citizen science in hydrology and water resources: opportunities for knowledge generation, ecosystem service management, and sustainable development

Гражданская наука в гидрологии и водных ресурсах: возможности создания знаний, управления экосистемными услугами и устойчивого развития
Wouter Buytaert, Zed Zulkafli, Sam Grainger, L. Acosta, Tilashwork C. Alemie, Johan Bastiaensen, Bert De Bià ̈vre, Jagat K. Bhusal, Julian Clark, Art Dewulf, J. Marc Foggin, David M. Hannah, Christian Hergarten, Aiganysh Isaeva, Timothy Karpouzoglou, Bhopal Pandeya, Deepak Paudel, K. D. Sharma, Tammo S. Steenhuis, Seifu A. Tilahun, Gert Van Hecken, Munavar Zhumanova
2014-10-22

citizen sciencedecision supporthydrological data collectionhydrologywater resources management
The participation of the general public in the research design, data collection and interpretation process together with scientists is often referred to as citizen science. While citizen science itself has existed since the start of scientific practice, developments in sensing technology, data processing and visualisation, and communication of ideas and results, are creating a wide range of new opportunities for public participation in scientific research. This paper reviews the state of citizen science in a hydrological context and explores the potential of citizen science to complement more traditional ways of scientific data collection and knowledge generation for hydrological sciences and water resources management. Although hydrological data collection often involves advanced technology, the advent of robust, cheap and low-maintenance sensing equipment provides unprecedented opportunities for data collection in a citizen science context. These data have a significant potential to create new hydrological knowledge, especially in relation to the characterisation of process heterogeneity, remote regions, and human impacts on the water cycle. However, the nature and quality of data collected in citizen science experiments is potentially very different from those of traditional monitoring networks. This poses challenges in terms of their processing, interpretation, and use, especially with regard to assimilation of traditional knowledge, the quantification of uncertainties, and their role in decision support. It also requires care in designing citizen science projects such that the generated data complement optimally other available knowledge. Lastly, we reflect on the challenges and opportunities in the integration of hydrologically-oriented citizen science in water resources management, the role of scientific knowledge in the decision-making process, and the potential contestation to established community institutions posed by co-generation of new knowledge.
1
Citizen science can complement traditional hydrological monitoring by involving the public in research design, data collection, and interpretation.
2
Citizen science data may differ substantially in nature and quality from conventional monitoring data, creating challenges for processing, interpretation, uncertainty quantification, and decision support.
3
Citizen-generated data could advance hydrological knowledge about process heterogeneity, remote regions, and human impacts on the water cycle.
4
Effective projects must be designed to complement existing knowledge, while integrating citizen science into water management may challenge established institutions and the role of scientific knowledge in decision-making.
5
Robust, inexpensive, low-maintenance sensors create new opportunities for public participation in hydrological data collection.

Citizen science in hydrology and water resources management

Its potential and challenges for hydrological data collection, knowledge generation, ecosystem service management, and sustainable development, including data quality, uncertainty, integration with traditional knowledge, and decision support

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2014-10-22
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Authors
Wouter Buytaert
Zed Zulkafli
Sam Grainger
L. Acosta
Tilashwork C. Alemie
Johan Bastiaensen
Bert De Bià ̈vre
Jagat K. Bhusal
Julian Clark
Art Dewulf
J. Marc Foggin
David M. Hannah
Christian Hergarten
Aiganysh Isaeva
Timothy Karpouzoglou
Bhopal Pandeya
Deepak Paudel
K. D. Sharma
Tammo S. Steenhuis
Seifu A. Tilahun
Gert Van Hecken
Munavar Zhumanova
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