Transferability of a Bayesian Belief Network across diverse agricultural catchments using high-frequency hydrochemistry and land management data

C. Negri; N. Schurch; A.J. Wade; P.-E. Mellander; M. Stutter; M.J. Bowes; C.C. Mzyece; M. Glendell

doi:10.1016/j.scitotenv.2024.174926

Transferability of a Bayesian Belief Network across diverse agricultural catchments using high-frequency hydrochemistry and land management data

C. Negri
, N. Schurch
, A.J. Wade
, P.-E. Mellander
, M. Stutter
, M.J. Bowes
, C.C. Mzyece
, M. Glendell

University of Reading
Teagasc - Irish Agriculture and Food Development Authority
UK Centre for Ecology and Hydrology
University of Stirling

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	174926
Journal	Science of the Total Environment
Volume	949
DOIs	https://doi.org/10.1016/j.scitotenv.2024.174926
Publication status	Published - 24 Jul 2024

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10.1016/j.scitotenv.2024.174926Licence: Unspecified licence

Cite this

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title = "Transferability of a Bayesian Belief Network across diverse agricultural catchments using high-frequency hydrochemistry and land management data",

author = "C. Negri and N. Schurch and A.J. Wade and P.-E. Mellander and M. Stutter and M.J. Bowes and C.C. Mzyece and M. Glendell",

year = "2024",

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AU - Negri, C.

AU - Schurch, N.

AU - Wade, A.J.

AU - Mellander, P.-E.

AU - Stutter, M.

AU - Bowes, M.J.

AU - Mzyece, C.C.

AU - Glendell, M.

PY - 2024/7/24

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M3 - Article

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JO - Science of the Total Environment

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