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815.
titre
Evaluating the Performance of Machine Learning Approaches to Predict the Microbial Quality of Surface Waters and to Optimize the Sampling Effort
auteur
Manel Naloufi, Françoise S Lucas, Sami Souihi, Pierre Servais, Aurélie Janne, Thiago Wanderley Matos de Abreu
article
, 2021, 13, ⟨10.3390/w13182457⟩
titre
Heavy Metal Accumulation and Changes in Soil Enzymes Activities and Bacterial Functional Diversity under Long-Term Treated Wastewater Irrigation in East Central Region of Tunisia (Monastir Governorate)
auteur
Marouane Mkhinini, Iteb Boughattas, Vanessa Alphonse, Alexandre Livet, Stéphanie Gıustı-Mıller, Mohamed Bannı, Noureddine Bousserrhıne
article
, 2020, 235, pp.106150. ⟨10.1016/j.agwat.2020.106150⟩
titre
Effect of Aloe Vera Wastes on Physico-Chemical Properties and Microbiological Activity in Soils
auteur
Fatma Lanouar, Iteb Boughattas, Marouene Mkhinini, Vanessa Alphonse, Stephanie Gustier-Muller, Alex Livet, Mohamed Banni, Nourreddine Bousserhine
article
, 2018, 3 (4), pp.1292--1304. ⟨10.22161/ijeab/3.4.21⟩
titre
Influence of Ecological Restoration on Mercury Mobility and Microbial Activities on Former Guyanese Mining Sites
auteur
Ewan Couic, Vanessa Alphonse, Alexandre Livet, Stéphanie Giusti-Miller, Noureddine Bousserrhine
article
, 2021, 11 (5), pp.2231. ⟨10.3390/app11052231⟩
titre
Use of Earthworms Eisenia Andrei on the Bioremediation of Contaminated Area in North of Tunisia and Microbial Soil Enzymes as Bioindicator of Change on Heavy Metals Speciation
auteur
Iteb Boughattas, Sabrine Hattab, Vanessa Alphonse, Alexandre Livet, Stéphanie Giusti-Miller, Hamadi Boussetta, Mohamed Banni, Noureddine Bousserrhine
article
, 2019, 19 (1), pp.296--309. ⟨10.1007/s11368-018-2038-8⟩

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Séminaire d’Allen Hunt le 14 mars 2011

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Séminaire d’Allen Hunt le 14 mars 2011

Dans le cadre des séminaires du LEESU, le professeur Allen Hunt, de l’université Wright State (USA) a fait une intervention intitulée "Solute dispersion in porous media" le lundi 14 mars à l’École des Ponts ParisTech, à Champs sur Marne.

Le résumé de son séminaire est :

Percolation cluster statistics and critical path analysis can be combined to generate the probability that a given volume of a porous medium can be covered by a network of paths with a given minimum conductance value. The topology of percolation clusters can then be applied to find the time required for solutes to cross such clusters. An appropriate probabilistic identity gives the probability that solute will arrive at, say, the right end of the volume if it enters the left end at a given time. The calculation yields the observed distribution of arrival times in simulations as well as the long-time tail of the distribution in fracture flow. The spatial moments are obtained from an analogous calculation for the spatial distribution at an instant in time. When the input distribution of local conductance values is monomodal with a single scale of heterogeneity and in the case that diffusive processes are explicitly neglected, the output distribution of dispersivity values matches a compilation of 2200 observation over ten orders of magnitude of length scale. This result requires a complete rethinking of the role of multiple scales of heterogeneity as well as a reevaluation of the appropriateness of stochastic subsurface hydrology and the role of diffusion-like processes in dispersion.