The Water Framework Directive requires new tools for a better water quality monitoring

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|
作者
Philippe, Namour [1 ,2 ]
Pascal, Breil [3 ]
Yohann, Clément [1 ]
Gil, De Sousa [4 ]
Jean-Pierre, Chanet [4 ]
Pierre, Lanteri [1 ]
机构
[1] University of Lyon, Institute of Analytical Sciences, UMR 5280, 43 Bd du 11 Novembre 1918, 69622 Villeurbanne cedex, France
[2] Irstea, Aquatic Environments, Ecology and Pollution Research Unit, 3bis quai Chauveau, 69336 Lyon cedex 09, France
[3] Irstea, Hydrology-Hydraulic Research Unit, 3bis quai Chauveau, 69336 Lyon cedex 09, France
[4] Irstea, Technologies and Information Systems for Agricultural Systems (TSCF) Research Unit, 24 Avenue des Landais, 63172 Aubière cedex, France
来源
E-Water | 2012年
关键词
Ecology - Environmental regulations - Data handling - Energy harvesting - Microsensors - Water quality - Water conservation;
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摘要
Our goal is to demonstrate the need to design a new type of environmentally friendly intrumentation to face the challenges of the Water Framework Directive. Rivers are spatially and timely structured ecological systems exhibiting hot spots and hot moments that contribute to their overall health status. However, current programs for monitoring water quality (grab samples and laboratory analysis) are based on sampling strategy that do not take into account the spatial and temporal heterogeneity of a water body. To reflect their actual dynamics, a paradigm shift is essential. This requires the development of new monitoring strategies and therefore new instrumentation. This new instrumentation must be able to measure at time scales appropriate to phenomena monitored and at a cost low enough to allow a sufficiently dense deployment in water bodies. We propose to enhance developing wireless networks of autonomous micro-sensors associated with mathematical processing of the collected data. The distinctive feature of this kind of smart sensor comes from the complete monitoring network expected, associating surface- and ground- waters chemistry, electronics and energy harvesting with smart data processing aiming to represent dynamic of basic ecological functions. © EWA 2012.
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