Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges

Nardi, Fernando; Cudennec, Christophe; Abrate, Tommaso; Allouch, Candice; Annis, Antonio; Assumpção, Thaine H.; Aubert, Alice H.; Berod, Dominique; Braccini, Alessio Maria; Buytaert, Wouter; Dasgupta, Antara; Hannah, David M.; Mazzoleni, Maurizio; Polo, María José; Sæbø, Øystein; Seibert, Jan; Tauro, Flavia; Teichert, Florian; Teutonico, R. A.; Uhlenbrook, Stefan; Vargas, Cristina Wahrmann; Grimaldi, Salvatore

doi:10.1080/02626667.2020.1849707

Cited by 56 publications

(36 citation statements)

References 196 publications

(194 reference statements)

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“…Citizen science is a research approach derived from ecological, environmental and earth observation sciences [15]. Hydrology, water resources management and land use/ urban planning represents major fields of application of citizen science [2,16] to address Sustainability 2021, 13, 7904 2 of 22 data scarcity and build innovative analytical models. The integration of computer sciencewhich investigates into technical issues-and social science [13,17]-is going to broaden citizen science investigation on motivational aspects, human behavior and socio-economic implications [16].…”

Section: Introductionmentioning

confidence: 99%

“…Hydrology, water resources management and land use/ urban planning represents major fields of application of citizen science [2,16] to address Sustainability 2021, 13, 7904 2 of 22 data scarcity and build innovative analytical models. The integration of computer sciencewhich investigates into technical issues-and social science [13,17]-is going to broaden citizen science investigation on motivational aspects, human behavior and socio-economic implications [16]. In this way, citizen science is not just an auxiliary methodology, but is going to become a cross-cutting discipline [2] with characteristics of a distinct field of inquiry [3].…”

Section: Introductionmentioning

confidence: 99%

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Towards a Transdisciplinary Theoretical Framework of Citizen Science: Results from a Meta-Review Analysis

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This work intends to lay the foundations for a theoretical framework of citizen science combining social and organizational implications with the support of information technologies. The proposed theoretical framework moves towards a shared and common research process between experts and citizens to deal with environmental and social challenges. The role and capacity of online communities is explored and their engagement capacity by means of web-based digital platforms supporting crowdsourcing activities. In this contribution, authors highlight the most common practices, methods and issues of citizen science approaches adopted from multidisciplinary application fields to obtain insights for designing a new participative approach for organizational studies. To reach this goal, authors illustrate the results of a systematic meta-review analysis, consisting of an accurate selection and revision of journal review articles in order to highlight concepts, methods, research design approaches and tools adopted in citizen science approaches.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards a Transdisciplinary Theoretical Framework of Citizen Science: Results from a Meta-Review Analysis

et al. 2021

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“…Much of the recent focus in hydrogeochemical research has been on the use of models, remote sensing and high resolution automated monitoring systems to further improve our understanding of ecological systems (Baldyga et al, 2008;Jacobs et al, 2018;Esteves et al, 2019). Although these approaches have been widely used to inform decision making for environmental management, they are expensive and their application within most developing countries is still hampered by poor infrastructure and technical capabilities (Olang and Fürst, 2011;Nardi et al, 2020). As a consequence, relatively few hydrogeochemical datasets exist (Zheng et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…As a scientific method, citizen science is acknowledged to play an important role in delivering valuable and robust environmental data from local to national scales, increasing knowledge of science and reducing monitoring costs (Bonney et al, 2009a;Silvestro et al, 2012;Haklay, 2015). Moreover, citizen observations can provide quality and detailed ground-based data for calibration and validation of satellitebased earth observation and high-resolution automated stations (Fritz et al, 2017;Nardi et al, 2020). Njue et al (2019) present a comprehensive review on the successful implementation, contribution, and significant growth in application of state-ofthe-art citizen science approaches in hydrological monitoring in the past two decades.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Suspended Sediments in a Tropical Forested Landscape With Citizen Science

et al. 2021

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Catchments are complex systems, which require regular monitoring of hydro-chemical parameters in space and time to provide comprehensive datasets. These are needed to characterize catchment behavior on a local level, make future projections based on models, implement mitigation measures and meet policy targets. However, many developing countries lack a good infrastructure for hydrological monitoring since its establishment is costly and the required resources are often not available. To overcome such challenges in data scarce regions like Kenya, a participatory citizen science approach can be a promising strategy for monitoring water resources. This study evaluates the potential of using a contributory citizen science approach to explore spatiotemporal turbidity and suspended sediment dynamics in the Sondu-Miriu river basin, western Kenya. A group of 19 citizen scientists was trained to monitor turbidity using turbidity tubes and water levels with water level gauges in six nested subcatchments of the Sondu-Miriu river basin. Over the course of the project, a total of 37 citizen scientists participated and contributed to the overall dataset of turbidity. The sampling effort and data contribution varied from year to year and among participants with the majority of the data (72%) originating from 8 (22%) citizen scientists. Comparison between citizen-scientist collected suspended sediment data and measurements from automated stations showed high correlation (R2 > 0.9) which demonstrates that data collected by citizen scientists can be comparable to data collected using expensive monitoring equipment. However, there was reduced precision of the measurements of suspended sediment concentrations at low and high levels attributed largely to the detection limitations of the turbidity tubes and citizen scientists not capturing major sediment export events. Suspended sediment concentrations were significantly higher downstream (109 ± 94 mg L−1), a subcatchment dominated by agriculture and rangeland with low forest vegetation cover, as compared to a subcatchment with high forest cover (50 ± 24.7 mg L−1). This finding indicates that forest cover is a key landscape feature to control suspended sediment concentrations in the region. Future citizen science projects should focus on motivation and engagement strategies and the application of robust methods with improved detection limits and resolution to advance hydrological monitoring.

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“…On the one hand, large volumes of image data, such as those available through social media posts, can be processed with deep learning algorithms to extract information on the water depth (Chaudhary et al, 2020;Feng et al, 2020;Jafari et al, 2020;Lin et al, 2020). On the other hand, crowdsourcing and citizen science initiatives aimed at collecting and processing imagery may be viable alternative approaches to traditional methods to monitor the stream status (Seibert et al, 2019;Nardi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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2021

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Monitoring ephemeral and intermittent streams is a major challenge in hydrology. While direct field observations are best to detect spatial patterns of flow persistence, on site inspections are time and labor intensive and may be impractical in difficult-to-access environments. Motivated by latest advancements of digital cameras and computer vision techniques, in this work, we describe the development and application of a stage-camera system to monitor the water level in ungauged headwater streams. The system encompasses a consumer grade wildlife camera with near infrared (NIR) night vision capabilities and a white pole that serves as reference object in the collected images. Time-lapse imagery is processed through a computationally inexpensive algorithm featuring image quantization and binarization, and water level time series are filtered through a simple statistical scheme. The feasibility of the approach is demonstrated through a set of benchmark experiments performed in controlled and natural settings, characterized by an increased level of complexity. Maximum mean absolute errors between stage-camera and reference data are approximately equal to 2 cm in the worst scenario that corresponds to severe hydrometeorological conditions. Our preliminary results are encouraging and support the scalability of the stage-camera in future implementations in a wide range of natural settings.

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Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges

Cited by 56 publications

References 196 publications

Towards a Transdisciplinary Theoretical Framework of Citizen Science: Results from a Meta-Review Analysis

Towards a Transdisciplinary Theoretical Framework of Citizen Science: Results from a Meta-Review Analysis

Monitoring of Suspended Sediments in a Tropical Forested Landscape With Citizen Science

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