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An Informatics Approach for Smart Evaluation of Water Quality Related Ecosystem Services

Author

Listed:
  • Weigang Yan

    (NERC Centre for Ecology & Hydrology)

  • Mike Hutchins

    (NERC Centre for Ecology & Hydrology)

  • Steven Loiselle

    (Earthwatch Institute)

  • Charlotte Hall

    (Earthwatch Institute)

Abstract

Understanding the relationship between water quality and ecosystem services valuation requires a broad range of approaches and methods from the domains of environmental science, ecology, physics and mathematics. The fundamental challenge is to decode the association between ‘ecosystem services geography’ with water quality distribution in time and in space. This demands the acquisition and integration of vast amounts of data from various domains in many formats and types. Here we present our system development concept to support the research in this field. We outline a technological approach that harnesses the power of data with scientific analytics and technology advancement in the evolution of a data ecosystem to evaluate water quality. The framework integrates the mobile applications and web technology into citizen science, environmental simulation and visualization. We describe a schematic design that links water quality monitoring and technical advances via data collection by citizen scientists and professionals to support ecosystem services evaluation. These data were synthesized into big data analytics through a Bayesian belief network to assess ecosystem services related to water quality. Finally, the paper identifies technical barriers and opportunities, in respect of big data ecosystem, for valuating water quality in ecosystem services assessment.

Suggested Citation

  • Weigang Yan & Mike Hutchins & Steven Loiselle & Charlotte Hall, 2016. "An Informatics Approach for Smart Evaluation of Water Quality Related Ecosystem Services," Annals of Data Science, Springer, vol. 3(3), pages 251-264, September.
    • Handle: RePEc:spr:aodasc:v:3:y:2016:i:3:d:10.1007_s40745-015-0067-3
    DOI: 10.1007/s40745-015-0067-3
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    References listed on IDEAS

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    1. Franzoni, Chiara & Sauermann, Henry, 2014. "Crowd science: The organization of scientific research in open collaborative projects," Research Policy, Elsevier, vol. 43(1), pages 1-20.
    2. Rob Hope & Tim Foster & Alex Money & Michael Rouse, 2012. "Harnessing mobile communications innovations for water security," Global Policy, London School of Economics and Political Science, vol. 3(4), pages 433-442, November.
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    Cited by:

    1. Nádia P. Kozievitch & Thiago H. Silva & Artur Ziviani & Giovani Costa & Gustavo Lugo, 2017. "Three Decades of Business Activity Evolution in Curitiba: A Case Study," Annals of Data Science, Springer, vol. 4(3), pages 307-327, September.
    2. Schirpke, Uta & Ghermandi, Andrea & Sinclair, Michael & Van Berkel, Derek & Fox, Nathan & Vargas, Leonardo & Willemen, Louise, 2023. "Emerging technologies for assessing ecosystem services: A synthesis of opportunities and challenges," Ecosystem Services, Elsevier, vol. 63(C).
    3. Marko Palviainen & Juha-Pekka Soininen & Mona Arnold, 2024. "Requirements for water data ecosystems: results from a business ecosystem case study," Environment Systems and Decisions, Springer, vol. 44(4), pages 994-1018, December.

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