Dataset Information

Disclosing the temperature of columnar jointing in lavas.

ABSTRACT: Columnar joints form by cracking during cooling-induced contraction of lava, allowing hydrothermal fluid circulation. A lack of direct observations of their formation has led to ambiguity about the temperature window of jointing and its impact on fluid flow. Here we develop a novel thermo-mechanical experiment to disclose the temperature of columnar jointing in lavas. Using basalts from Eyjafjallajökull volcano (Iceland) we show that contraction during cooling induces stress build-up below the solidus temperature (980?°C), resulting in localised macroscopic failure between 890 and 840?°C. This temperature window for incipient columnar jointing is supported by modelling informed by mechanical testing and thermal expansivity measurements. We demonstrate that columnar jointing takes place well within the solid state of volcanic rocks, and is followed by a nonlinear increase in system permeability of <9 orders of magnitude during cooling. Columnar jointing may promote advective cooling in magmatic-hydrothermal environments and fluid loss during geothermal drilling and thermal stimulation.

SUBMITTER: Lamur A

PROVIDER: S-EPMC5897544 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Publications

Disclosing the temperature of columnar jointing in lavas.

Lamur Anthony A Lavallée Yan Y Iddon Fiona E FE Hornby Adrian J AJ Kendrick Jackie E JE von Aulock Felix W FW Wadsworth Fabian B FB

Nature communications 20180412 1

Columnar joints form by cracking during cooling-induced contraction of lava, allowing hydrothermal fluid circulation. A lack of direct observations of their formation has led to ambiguity about the temperature window of jointing and its impact on fluid flow. Here we develop a novel thermo-mechanical experiment to disclose the temperature of columnar jointing in lavas. Using basalts from Eyjafjallajökull volcano (Iceland) we show that contraction during cooling induces stress build-up below the s ...[more]

PMID: 29650990

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Project description:BackgroundRetrieving pertinent information from biological scientific literature requires cutting-edge text mining methods which may be able to recognize the meaning of the very ambiguous names of biological entities. Aliases of a gene share a common vocabulary in their respective collections of PubMed abstracts. This may be true even when these aliases are not associated with the same subset of documents. This gene-specific vocabulary defines a unique fingerprint that can be used to disclose ambiguous aliases. The present work describes an original method for automatically assessing the ambiguity levels of gene aliases in large gene terminologies based exclusively in the content of their associated literature. The method can deal with the two major problems restricting the usage of current text mining tools: 1) different names associated with the same gene; and 2) one name associated with multiple genes, or even with non-gene entities. Important, this method does not require training examples.ResultsAliases were considered "ambiguous" when their Jaccard distance to the respective official gene symbol was equal or greater than the smallest distance between the official gene symbol and one of the three internal controls (randomly picked unrelated official gene symbols). Otherwise, they were assigned the status of "synonyms". We evaluated the coherence of the results by comparing the frequencies of the official gene symbols in the text corpora retrieved with their respective "synonyms" or "ambiguous" aliases. Official gene symbols were mentioned in the abstract collections of 42 % (70/165) of their respective synonyms. No official gene symbol occurred in the abstract collections of any of their respective ambiguous aliases. In overall, querying PubMed with official gene symbols and "synonym" aliases allowed a 3.6-fold increase in the number of unique documents retrieved.ConclusionsThese results confirm that this method is able to distinguish between synonyms and ambiguous gene aliases based exclusively on their vocabulary fingerprint. The approach we describe could be used to enhance the retrieval of relevant literature related to a gene.

Dataset Information

Disclosing the temperature of columnar jointing in lavas.

Publications

Disclosing the temperature of columnar jointing in lavas.

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