HydroQual: Visual analysis of river water quality

Abstract : Economic development based on industrialization, intensive agriculture expansion and population growth places greater pressure on water resources through increased water abstraction and water quality degradation [40]. River pollution is now a visible issue, with emblematic ecological disasters following industrial accidents such as the pollution of the Rhine river in 1986 [31]. River water quality is a pivotal public health and environmental issue that has prompted governments to plan initiatives for preserving or restoring aquatic ecosystems and water resources [56]. Water managers require operational tools to help interpret the complex range of information available on river water quality functioning. Tools based on statistical approaches often fail to resolve some tasks due to the sparse nature of the data. Here we describe HydroQual, a tool to facilitate visual analysis of river water quality. This tool combines spatiotem-poral data mining and visualization techniques to perform tasks defined by water experts. We illustrate the approach with a case study that illustrates how the tool helps experts analyze water quality. We also perform a qualitative evaluation with these experts.
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Communication dans un congrès
VAST: Visual Analytics Science and Technology, Oct 2014, Paris, France. Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, pp.123-132, 2014, 〈10.1109/VAST.2014.7042488〉
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Pierre Accorsi, Arnaud Sallaberry, Nathalie Lalande, Sandra Bringay, Florence Le Ber, et al.. HydroQual: Visual analysis of river water quality. VAST: Visual Analytics Science and Technology, Oct 2014, Paris, France. Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, pp.123-132, 2014, 〈10.1109/VAST.2014.7042488〉. 〈lirmm-01275383〉

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