A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research

Thornton, James; Mariethoz, Grégoire; Brunner, Philip

doi:10.1038/sdata.2018.238

Cited by 51 publications

(47 citation statements)

References 59 publications

(44 reference statements)

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“…elevation 3051ma.s.l.) and oriented SW-NE, which has been extensively studied in geomorphological and biological fields (e.g., Lambiel et al, 2009;Vittoz and Gmür, 2009;Lane et al, 2016;Thornton et al, 2018).…”

Section: Study Areamentioning

confidence: 99%

Influence of microclimate and geomorphological factors on alpine vegetation in the Western Swiss Alps

Giaccone

Luoto

Vittoz

et al. 2019

Earth Surf Processes Landf

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Among the numerous environmental factors affecting plant communities in alpine ecosystems, the influence of geomorphic processes and landforms has been minimally investigated. Subjected to persistent climate warming, it is vital to understand how these factors affect vegetation properties. Here, we studied 72 vegetation plots across three sites located in the Western Swiss Alps, characterized by high geomorphological variability and plant diversity. For each plot, vascular plant species were inventoried and ground surface temperature, soil moisture, topographic variables, earth surface processes (ESPs) and landform morphodynamics were assessed. The relationships between plant communities and environmental variables were analysed using non‐metric multi‐dimensional scaling (NMDS) and multivariate regression techniques (generalized linear model, GLM, and generalized additive model, GAM). Landform morphodynamics, growing degree days (sum of degree days above 5°C) and mean ground surface temperature were the most important explanatory variables of plant community composition. Furthermore, the regression models for species cover and species richness were significantly improved by adding a morphodynamics variable. This study provides complementary support that landform morphodynamics is a key factor, combined with growing degree days, to explain alpine plant distribution and community composition. © 2019 John Wiley & Sons, Ltd. © 2019 John Wiley & Sons, Ltd.

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Section: Study Areamentioning

confidence: 99%

Influence of microclimate and geomorphological factors on alpine vegetation in the Western Swiss Alps

Giaccone

Luoto

Vittoz

et al. 2019

Earth Surf Processes Landf

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“…Vallon de Nant is a 13.4km 2 catchment located in the Vaud Alps in South-West of Switzerland (Figure 1), with elevation ranging from 1253 m to 3051 m asl. Steep slopes form a major part of the catchment with a mean catchment slope of around 36° (Thornton et al, 2018). At lower elevations, a dense forest dominated by Picea abies covers 14% of the catchment area.…”

Section: Catchment Descriptionmentioning

confidence: 99%

“…Groundwater samples were collected at the groundwater monitoring points and the installed piezometers. The groundwater piezometers were installed by James Thornton from University of Neuchâtel (Thornton et al, 2018).…”

Section: Catchment Descriptionmentioning

confidence: 99%

HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources

Beria¹,

Larsen²,

Michelon³

et al. 2019

Preprint

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Abstract. Tracers have been used for over half a century in hydrology to quantify water sources with the help of mixing models. In this paper, we build on classic Bayesian methods to quantify uncertainty in mixing ratios. Such methods infer the probability density function (pdf) of the mixing ratios by formulating pdfs for the source and target concentrations and inferring the underlying mixing ratios via Monte Carlo sampling. However, collected hydrological samples are rarely abundant enough to robustly fit a pdf to the sources. Our approach, called HydroMix, solves the linear mixing problem in a Bayesian inference framework where the likelihood is formulated for the error between observed and modelled target variables, which corresponds to the parameter inference set-up commonly used in hydrological models. To address small sample sizes, every combination of source samples is mixed with every target tracer concentration. Using a series of synthetic case studies, we evaluate the performance of HydroMix. We then use HydroMix to show that snowmelt accounts for 60–62 % of groundwater recharge in a Swiss Alpine catchment (Vallon de Nant), despite snowfall only accounting for 40–45 % of the annual precipitation. Using this example, we then demonstrate the flexibility of this approach to account for uncertainties in source characterization due to different hydrological processes. We also address an important bias in mixing models that arises when there is a large divergence between the number of collected source samples and their flux magnitudes. HydroMix can account for this bias by using composite likelihood functions that effectively weights the relative magnitude of source fluxes. The primary application target of this framework is hydrology, but it is by no means limited to this field.

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“…Research, Society and Development, v. 9, n. 12, e21491210839, 2020 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v9i12.10839 Os modelos de blocos são representações digitais do mundo real em profundidade e possui propriedades geológicas proveniente dos dados inseridos (Thornton, Mariethoz & Brunner, 2018). Alguns desses parâmetros são: litologia, profundidade e teor de minério, propriedades metalúrgicas, posição do furo de sondagem, química, dentre outros dados que são disponibilizados, e tem como objetivo avaliar a viabilidade do depósito mineral e posteriormente a definição da reserva mineral (Vale, 2017).…”

Section: Modelo Geológico De Curto Prazounclassified

Aplicação do six sigma no estudo de caso de uma mina de fosfato - Araxá-MG

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O presente trabalho tem como objetivo apresentar a aplicabilidade da metodologia Six Sigma para otimizar as atividades de gerenciamento de operações em uma mina de fosfato no município de Araxá, Minas Gerais, e assim conseguir aprimorar o modelo de blocos. Para isto, foi utilizado o modelo DMAIC - Definir, Medir, Analisar, Aprimorar e Controlar. Inicialmente foi definido a problemática e, perspectiva da pesquisa da geologia de mina. E, nas etapas posteriores foram empregadas ferramentas de melhoria contínua, como: mapa de processos, gráfico de pareto, diagrama de causa e efeito incluindo os KPI’s - Indicadores-chave de Desempenho, matriz GUT - Gravidade, Urgência e Tendência e gráfico de controle, confeccionados utilizando o programa MiniTab. Os resultados apresentam a amostragem como indicador principal e desenvolve planos de ação de forma a complementar o trabalho base. Portanto, é possível entender a importância da metodologia Six Sigma aplicada na geologia de mina e sua representatividade na otimização das operações, com o uso de técnicas de melhoria contínua.

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A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research

Cited by 51 publications

References 59 publications

Influence of microclimate and geomorphological factors on alpine vegetation in the Western Swiss Alps

Influence of microclimate and geomorphological factors on alpine vegetation in the Western Swiss Alps

HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources

Aplicação do six sigma no estudo de caso de uma mina de fosfato - Araxá-MG

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