Evaluation of vis-NIR reflectance spectroscopy sensitivity to weathering for enhanced assessment of oil contaminated soils
Date
2018-01-18 08:49
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
Type
Dataset
ISSN
Format
Free to read from
Citation
Coulon, Frederic; Douglas, Reward; Alamar Gavidia, Maria del carmen; Mouazen, Abdul; Nawar, Said (2018). Evaluation of vis-NIR reflectance spectroscopy sensitivity to weathering for enhanced assessment of oil contaminated soils. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.5794791
Abstract
Underpinning data on1. hydrocarbons data analysis by GCMS - quantification and 2. vis-NIR spectra analysis and chemometrics
Description
Software Description
Software Language
Github
Keywords
petroleum-polluted', 'chemometric modeling', 'VIS-NIR', 'gas chromatography-Mass spectroscopy', 'contaminated land', 'risk management strategies', 'Rapid Measurement', 'Environmental Rehabilitation (excl. Bioremediation)', 'Environmental Monitoring', 'Environmental Science'
DOI
10.17862/cranfield.rd.5794791
Rights
CC BY 4.0
Relationships
Relationships
Supplements
Funder/s
PTDF/OSS/PHD/DRK/711/14 and REMEDIATE (Improved decision-making in contaminated land site investigation and risk assessment) Marie-Curie Innovation Training Network from the European Union’s Horizon 2020 Programme (grant agreement No. 643087); and Flemish Scientific Research (FWO) funded SiTeMan Odysseus I Project (Nr. G0F9216N)