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Toward a quality aware SDI to assess agricultural water consumption

dc.contributor.authorBeaufils, Mickael
dc.contributor.authorFollin, Jean-Michel
dc.contributor.editorPillmann, W.
dc.contributor.editorSchade, S.
dc.contributor.editorSmits, P.
dc.date.accessioned2019-09-16T03:14:29Z
dc.date.available2019-09-16T03:14:29Z
dc.date.issued2011
dc.description.abstractClimate change and its impact on water resources is a hot topic, especially in the Mediterranean basin. To deal with this issue, the VULCAIN project provides an integrated assessment of the consequences of several climatic and socioeconomic scenarios on the water supplies. Our project aim to continue the work realized during this project by conceiving a quality aware Spatial Data Infrastructure (SDI) dedicated to water resources assessment. This SDI will provide functionalities adapted to every kind of users: resources assessment for water experts, decision support for regional politicians, and general information for the general public. In this paper, we make a focus on the part dedicated to water experts, and more exactly the estimation of the agricultural water requirements. Basic principles of the modeling are explained, as well as the architecture of our SDI. This one relies on combination and chaining of Open Geospatial (OGC) web services, which are used to provide both data and processes. We also deal with data quality. Our aim is to provide a quality aware SDI that indicates the reliability of the results obtained within the SDI. A typology of biases that can affect the model is exposed. As well, simple sensitivity analysis methods to estimate the impact of those biases on the results are described and illustrated by an example.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol6919/0436.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/26092
dc.publisherShaker Verlag
dc.relation.ispartofInnovations in Sharing Environmental Observations and Information
dc.relation.ispartofseriesEnviroInfo
dc.titleToward a quality aware SDI to assess agricultural water consumptionde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2011
gi.conference.locationIspra
gi.conference.sessiontitleSpatial Data Infrastructures: Applications

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