Advancing “Autonomous” sensing and prediction of the subsurface environment: a review and exploration of the challenges for soil and groundwater contamination
- DOI
- 10.1007/s11356-022-25125-8
- Published
- 2023-01-13
- Container
- Environmental Science and Pollution Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11356-022-25125-8,
title = {Advancing “Autonomous” sensing and prediction of the subsurface environment: a review and exploration of the challenges for soil and groundwater contamination},
author = {Greg B. Davis and John L. Rayner and Michael J. Donn},
year = {2023},
journal = {Environmental Science and Pollution Research},
doi = {10.1007/s11356-022-25125-8},
url = {https://doi.org/10.1007/s11356-022-25125-8}
}RIS
TY - JOUR TI - Advancing “Autonomous” sensing and prediction of the subsurface environment: a review and exploration of the challenges for soil and groundwater contamination AU - Greg B. Davis AU - John L. Rayner AU - Michael J. Donn PY - 2023 JO - Environmental Science and Pollution Research DO - 10.1007/s11356-022-25125-8 UR - https://doi.org/10.1007/s11356-022-25125-8 ER -
APA
Davis, G. B., Rayner, J. L., & Donn, M. J. (2023). Advancing “Autonomous” sensing and prediction of the subsurface environment: a review and exploration of the challenges for soil and groundwater contamination. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-022-25125-8
Source records
- crossref · retrieved 2026-09-27T09:22:26.220Z