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Meteorological data used for water-balance calculations at ground surface in failure prediction of clay embankments subject to weather-driven deterioration

dataset
posted on 2024-10-21, 09:50 authored by Amr MorsyAmr Morsy, Peter HelmPeter Helm

Data

This dataset contains the weather data used to prepare the boundary condition files applied in the modelling summarised in the publication: Morsy & Helm. (2024). Failure Prediction of Clay Embankments Subject to Weather-Driven Deterioration. Journal of Geotechnical and Geoenvironmental Engineering. The dataset readme also includes geospatial data summarising the locations of the weather stations.

This dataset includes an excel spreadsheet that contains the data and example figures. The dataset also includes a PDF coversheet and readme file that contains metadata and a brief explanation of the derivation of the data. Please note there are also plain text and comma separated value versions of the readme and data spreadsheets to maximise compatibility at the expense of some functionality that the pdf and .xlsx versions provide.

Funding summary

Funding for this work was provided by a range of sources including the UK EPSRC programme grant ACHILLES (EP/R034575/1), the EPSRC and UK DfT funded Research Hub for Decarbonised Adaptable and Resilient Transport Infrastructures - DARe (EP/Y024257/1) and the California State University Transportation Consortium under project number: 2326 through the State of California’s Road Repair and Rehabilitation Act of 2017 (Senate Bill 1). For more information see the funding details below and the links in the related materials section.

Funding

Assessment, Costing and enHancement of long lIfe, Long Linear assEtS (ACHILLES)

Engineering and Physical Sciences Research Council

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Research Hub for Decarbonised Adaptable and Resilient Transport Infrastructures (DARe)

UK Research and Innovation

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Time-To-Failure Prediction of Fine-Grained Soil Slopes Subject to Weather-Driven Deterioration: California State University Transportation Consortium (CSUTC) Project No. 2326

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