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Scale appropriate modelling of diffuse microbial pollution from agriculture.

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Scale appropriate modelling of diffuse microbial pollution from agriculture. / Oliver, David M.; Heathwaite, A. Louise; Fish, Rob D. et al.
In: Progress in Physical Geography, Vol. 33, No. 3, 01.06.2009, p. 358-377.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Oliver, DM, Heathwaite, AL, Fish, RD, Chadwick, DR, Hodgson, CJ, Winter, M & Butler, A 2009, 'Scale appropriate modelling of diffuse microbial pollution from agriculture.', Progress in Physical Geography, vol. 33, no. 3, pp. 358-377. https://doi.org/10.1177/0309133309342647

APA

Oliver, D. M., Heathwaite, A. L., Fish, R. D., Chadwick, D. R., Hodgson, C. J., Winter, M., & Butler, A. (2009). Scale appropriate modelling of diffuse microbial pollution from agriculture. Progress in Physical Geography, 33(3), 358-377. https://doi.org/10.1177/0309133309342647

Vancouver

Oliver DM, Heathwaite AL, Fish RD, Chadwick DR, Hodgson CJ, Winter M et al. Scale appropriate modelling of diffuse microbial pollution from agriculture. Progress in Physical Geography. 2009 Jun 1;33(3):358-377. doi: 10.1177/0309133309342647

Author

Oliver, David M. ; Heathwaite, A. Louise ; Fish, Rob D. et al. / Scale appropriate modelling of diffuse microbial pollution from agriculture. In: Progress in Physical Geography. 2009 ; Vol. 33, No. 3. pp. 358-377.

Bibtex

@article{b8c8f7e7036d4cfca00a25a1cbeff5eb,
title = "Scale appropriate modelling of diffuse microbial pollution from agriculture.",
abstract = "The prediction of microbial concentrations and loads in receiving waters is a key requirement for informing policy decisions in order to safeguard human health. However, modelling the fate and transfer dynamics of faecally-derived microorganisms at different spatial scales poses a considerable challenge to the research and policy community. The objective of this paper is to critically evaluate the complexities and associated uncertainties attributed to the development of models for assessing agriculturally derived microbial pollution of watercourses. A series of key issues with respect to scale appropriate modelling of diffuse microbial pollution from agriculture are presented and include: (i) appreciating inadequacies in baseline sampling to underpin model development; (ii) uncertainty in the magnitudes of microbial pollutants attributed to different faecal sources; (iii) continued development of the empirical evidence base in line with other agricultural pollutants; (iv) acknowledging the added-value of interdisciplinary working; and (v) beginning to account for economics in model development. It is argued that uncertainty in model predictions produces a space for meaningful scrutiny of the nature of evidence and assumptions underpinning model applications around which pathways towards more effective model development may ultimately emerge.",
keywords = "diffuse pollution, end-user, faecal indicator organism, modelling, pathogen, scale, stakeholder, uncertainty",
author = "Oliver, {David M.} and Heathwaite, {A. Louise} and Fish, {Rob D.} and Chadwick, {David R.} and Hodgson, {Chris J.} and Michael Winter and Allan Butler",
note = "The final, definitive version of this article has been published in the Journal, Progress in Physical Geography, 33 (3), 2009, {\textcopyright} SAGE Publications Ltd, 2009 by SAGE Publications Ltd at the Progress in Physical Geography page: http://ppg.sagepub.com/ on SAGE Journals Online: http://online.sagepub.com/",
year = "2009",
month = jun,
day = "1",
doi = "10.1177/0309133309342647",
language = "English",
volume = "33",
pages = "358--377",
journal = "Progress in Physical Geography",
issn = "1477-0296",
publisher = "SAGE Publications Ltd",
number = "3",

}

RIS

TY - JOUR

T1 - Scale appropriate modelling of diffuse microbial pollution from agriculture.

AU - Oliver, David M.

AU - Heathwaite, A. Louise

AU - Fish, Rob D.

AU - Chadwick, David R.

AU - Hodgson, Chris J.

AU - Winter, Michael

AU - Butler, Allan

N1 - The final, definitive version of this article has been published in the Journal, Progress in Physical Geography, 33 (3), 2009, © SAGE Publications Ltd, 2009 by SAGE Publications Ltd at the Progress in Physical Geography page: http://ppg.sagepub.com/ on SAGE Journals Online: http://online.sagepub.com/

PY - 2009/6/1

Y1 - 2009/6/1

N2 - The prediction of microbial concentrations and loads in receiving waters is a key requirement for informing policy decisions in order to safeguard human health. However, modelling the fate and transfer dynamics of faecally-derived microorganisms at different spatial scales poses a considerable challenge to the research and policy community. The objective of this paper is to critically evaluate the complexities and associated uncertainties attributed to the development of models for assessing agriculturally derived microbial pollution of watercourses. A series of key issues with respect to scale appropriate modelling of diffuse microbial pollution from agriculture are presented and include: (i) appreciating inadequacies in baseline sampling to underpin model development; (ii) uncertainty in the magnitudes of microbial pollutants attributed to different faecal sources; (iii) continued development of the empirical evidence base in line with other agricultural pollutants; (iv) acknowledging the added-value of interdisciplinary working; and (v) beginning to account for economics in model development. It is argued that uncertainty in model predictions produces a space for meaningful scrutiny of the nature of evidence and assumptions underpinning model applications around which pathways towards more effective model development may ultimately emerge.

AB - The prediction of microbial concentrations and loads in receiving waters is a key requirement for informing policy decisions in order to safeguard human health. However, modelling the fate and transfer dynamics of faecally-derived microorganisms at different spatial scales poses a considerable challenge to the research and policy community. The objective of this paper is to critically evaluate the complexities and associated uncertainties attributed to the development of models for assessing agriculturally derived microbial pollution of watercourses. A series of key issues with respect to scale appropriate modelling of diffuse microbial pollution from agriculture are presented and include: (i) appreciating inadequacies in baseline sampling to underpin model development; (ii) uncertainty in the magnitudes of microbial pollutants attributed to different faecal sources; (iii) continued development of the empirical evidence base in line with other agricultural pollutants; (iv) acknowledging the added-value of interdisciplinary working; and (v) beginning to account for economics in model development. It is argued that uncertainty in model predictions produces a space for meaningful scrutiny of the nature of evidence and assumptions underpinning model applications around which pathways towards more effective model development may ultimately emerge.

KW - diffuse pollution

KW - end-user

KW - faecal indicator organism

KW - modelling

KW - pathogen

KW - scale

KW - stakeholder

KW - uncertainty

U2 - 10.1177/0309133309342647

DO - 10.1177/0309133309342647

M3 - Journal article

VL - 33

SP - 358

EP - 377

JO - Progress in Physical Geography

JF - Progress in Physical Geography

SN - 1477-0296

IS - 3

ER -