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Accès public à partir du 21 janv. 2020
Université de Neuchâtel

Missing data simulation inside flow rate time-series using multiple-point statistics

Oriani, F ; Borghi, A ; Straubhaar, J ; Mariethoz, Grégoire ; Renard, Philippe

In: Environmental Modelling & Software, 2016, vol. 86, p. 264-276

The direct sampling (DS) multiple-point statistical technique is proposed as a non-parametric missing data simulator for hydrological flow rate time-series. The algorithm makes use of the patterns contained inside a training data set to reproduce the complexity of the missing data. The proposed setup is tested in the reconstruction of a flow rate time-series while considering several missing data...

Université de Neuchâtel

When miners become “foreigners”: Competing categorizations within gold mining spaces in Guinea

Bolay, Matthieu

In: Resources Policy, 2014, vol. 40, p. 117-127

Drawing on ethnographic research and problem-centered interviews in Guinean mining areas, this paper presents a comparative reading of the conflicting conceptions of what constitutes a “mining community.” First, I explore how independent artisanal miners describe and identify their activity. The weight of autochthony conventions is discussed concerning their insertion both in the mining...

Université de Neuchâtel

Integrating aerial geophysical data in multiple-point statistics simulations to assist groundwater flow models

Dickson, N.E.M ; Comte, J.-C ; Renard, Philippe ; Straubhaar, J ; McKinley, J.M ; Ofterdinger, U

In: Hydrogeology Journal, 2015, vol. 23, no. 5, p. 883-900

The process of accounting for heterogeneity has made significant advances in statistical research, primarily in the framework of stochastic analysis and the development of multiple-point statistics (MPS). Among MPS techniques, the direct sampling (DS) method is tested to determine its ability to delineate heterogeneity from aerial magnetics data in a regional sandstone aquifer intruded by...