From 30 September to 2 October 1999 a workshop was held in Gif-sur-Yvette, France, with the central objective to develop a research strategy for the next 3-5 years, aiming at a systematic description of root functioning, rooting depth, and root distribution for modeling root water uptake from local and regional to global scales. The goal was to link more closely the weather prediction and climate and hydrological models with ecological and plant physiological information in order to improve the understanding of the impact that root functioning has on the hydrological cycle at various scales. The major outcome of the workshop was a number of recommendations, detailed at the end of this paper, on root water uptake parameterization and modeling and on collection of root and soil hydraulic data.

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[1] The aim of this paper is to improve our understanding and the representation of hydrological and energetic exchanges between the soil, the vegetation, and the atmosphere at the continental scale. The soil hydrology of the land surface scheme Schématisation des Echanges Hydriques l'Interface entre la Biosphère et l'Atmosphère (SECHIBA) is improved. It is derived from the physically based hydrological model of the Centre for Water Resources Research and is adapted to the representation of soil-plant-atmosphere interactions at large scale and to the coupling with an atmospheric model. In the new model, soil-plant interactions result from root-soil moisture profile interactions, represented on a fine vertical resolution. This allows a better control of land evapotranspiration by soil-vegetation systems. SECHIBA in this new version takes into account a subgrid-scale variability of soil texture. Different possibilities of interactions between soil and vegetation variabilities allow the representation of various soil-plantatmosphere systems. It is shown that the distribution of vegetation on the soil and the soil texture influence the way in which soil, plants, and atmosphere interact.

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Publication informationSeparation and Purification Technology, 55 (3): 300-306Publisher Elsevier Some rights reserved. For more information, please see the item record link above.---1 --- AbstractDrinking-water treatment sludge (DWTS) produced at water treatment plants is an inescapable byproduct and has long been treated as a waste for landfill. In this study, a series of batch adsorption tests were conducted using a wide range of phosphorus (P) species to determine the adsorption capacities of freshly dewatered aluminium salt based DWTS. The adsorption process is highly dependant on the pH of the suspension and is good at low pHs with adsorption capacities in the order of orthophosphate>polyphosphate>organic phosphate when these three P species were This proves the potential of the sludge as a filter material in various forms of P immobilization, thus converting it from a waste to a useful material in pollutant control.

Publication informationAtmospheric Research, 100 (2-3): 150-167Publisher Elsevier This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT AbstractQuantifying uncertainty in flood forecasting is a difficult task, given the multiple and strongly nonlinear model components involved in such a system. Much effort has been and is being invested in the quest of dealing with uncertain precipitation observations and forecasts and the propagation of such uncertainties through hydrological and hydraulic models predicting river discharges and risk for inundation. The COST 731 Action is one of these and constitutes a European initiative which deals with the quantification of forecast uncertainty in hydro-meteorological forecast systems.COST 731 addresses three major lines of development: (1) combining meteorological and hydrological models to form a forecast chain, (2) propagating uncertainty information through this chain and make it available to end users in a suitable form, (3)

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