An informatics approach for smart evaluation of water quality related ecosystem services

Yan, Weigang; Hutchins, Mike ORCID: https://orcid.org/0000-0003-3764-5331; Loiselle, Steven; Hall, Charlotte. 2015 An informatics approach for smart evaluation of water quality related ecosystem services. In: Zhang, Chengqi; Huang, Wei; Shi, Yong; Yu, Philip S.; Zhu, Yangyong; Tian, Yingjie; Zhang, Peng; He, Jing, (eds.) Data science : second international conference, ICDS 2015, Sydney, Australia, August 8-9, 2015 : proceedings. Cham, Springer, 178-185. (Lecture Notes in Computer Science, 9208).

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Official URL: http://dx.doi.org/10.1007/978-3-319-24474-7_24

Abstract/Summary

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 collection by citizen scientists and professionals to support ecosystem services evaluation. These would be synthesized into big data analytics to be used for assessing 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.

Item Type:	Publication - Book Section
Digital Object Identifier (DOI):	https://doi.org/10.1007/978-3-319-24474-7_24
UKCEH and CEH Sections/Science Areas:	Acreman Rees (from October 2014)
ISBN:	9783319244730
NORA Subject Terms:	Ecology and Environment Computer Science Data and Information
Date made live:	16 Feb 2016 13:39 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/512974

Item Type:

Publication - Book Section

Digital Object Identifier (DOI):

https://doi.org/10.1007/978-3-319-24474-7_24

UKCEH and CEH Sections/Science Areas:

Acreman
Rees (from October 2014)

ISBN:

9783319244730

NORA Subject Terms:

Ecology and Environment
Computer Science
Data and Information

Date made live:

16 Feb 2016 13:39 +0 (UTC)