Developing a Bayesian network model for understanding river catchment resilience under future change scenarios

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

Original language	English
Pages (from-to)	2205-2225
Journal	Hydrology and Earth System Sciences
Volume	27
Issue number	11
DOIs	https://doi.org/10.5194/hess-27-2205-2023
Publication status	Published - 14 Jun 2023

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title = "Developing a Bayesian network model for understanding river catchment resilience under future change scenarios",

author = "K.J. Adams and C.A.J. Macleod and M.J. Metzger and N. Melville and R.C. Helliwell and J. Pritchard and M. Glendell",

year = "2023",

month = jun,

day = "14",

doi = "10.5194/hess-27-2205-2023",

language = "English",

volume = "27",

pages = "2205--2225",

journal = "Hydrology and Earth System Sciences",

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T1 - Developing a Bayesian network model for understanding river catchment resilience under future change scenarios

AU - Adams, K.J.

AU - Macleod, C.A.J.

AU - Metzger, M.J.

AU - Melville, N.

AU - Helliwell, R.C.

AU - Pritchard, J.

AU - Glendell, M.

PY - 2023/6/14

Y1 - 2023/6/14

U2 - 10.5194/hess-27-2205-2023

DO - 10.5194/hess-27-2205-2023

M3 - Article

VL - 27

SP - 2205

EP - 2225

JO - Hydrology and Earth System Sciences

JF - Hydrology and Earth System Sciences

IS - 11

ER -