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DOI10.1016/j.scitotenv.2015.11.086
Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments
Oliver, David M.1; Porter, Kenneth D. H.1; Pachepsky, Yakov A.2; Muirhead, Richard W.3; Reaney, Sim M.4; Coffey, Rory5,12; Kay, David6; Milledge, David G.4; Hong, Eunmi2; Anthony, Steven G.7; Page, Trevor8; Bloodworth, Jack W.9; Mellander, Per-Erik10; Carbonneau, Patrice E.4; McGrane, Scott J.11; Quilliam, Richard S.1
发表日期2016-02-15
ISSN0048-9697
卷号544页码:39-47
英文摘要

The application of models to predict concentrations of faecal indicator organisms (FIOs) in environmental systems plays an important role for guiding decision-making associated with the management of microbial water quality. In recent years there has been an increasing demand by policy-makers for models to help inform FIO dynamics in order to prioritise efforts for environmental and human-health protection. However, given the limited evidence-base on which FIO models are built relative to other agricultural pollutants (e.g. nutrients) it is imperative that the end-user expectations of FIO models are appropriately managed. In response, this commentary highlights four over-arching questions associated with: (i) model purpose; (ii) modelling approach; (iii) data availability; and (iv) model application, that must be considered as part of good practice prior to the deployment of any modelling approach to predict FIO behaviour in catchment systems. A series of short and longer-term research priorities are proposed in response to these questions in order to promote better model deployment in the field of catchment microbial dynamics. (C) 2015 The Authors. Published by Elsevier B.V.


语种英语
WOS记录号WOS:000369491500006
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/61811
作者单位1.Univ Stirling, Sch Nat Sci, Biol & Environm Sci, Stirling FK9 4LA, Scotland;
2.USDA ARS, Beltsville Agr Res Ctr, Beltsville, MD 20705 USA;
3.AgResearch, Land & Environm, Invermay Res Ctr, Private Bag 50034, Mosgiel 9053, New Zealand;
4.Univ Durham, Dept Geog, Durham DH1 3LE, England;
5.Univ Coll Dublin, Agr & Food Sci Ctr, Sch Biosyst Engn, Dublin 2, Ireland;
6.Aberystwyth Univ, Ctr Res Environm & Hlth, Aberystwyth SY23 3DB, Dyfed, Wales;
7.ADAS Grp Ltd, HQ Pendeford House,Pendeford Business Pk, Wolverhampton WV9 5AP, W Midlands, England;
8.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England;
9.Cranfield Univ, Cranfield Water Sci Inst, Cranfield MK43 0AL, Beds, England;
10.TEAGASC, Agr Catchments Programme, Johnstown Castle, Wexford, Ireland;
11.Univ Surrey, Dept Civil & Environm Engn, Surrey GU2 7XH, England;
12.US EPA, Off Res & Dev, Washington, DC 20460 USA
推荐引用方式
GB/T 7714
Oliver, David M.,Porter, Kenneth D. H.,Pachepsky, Yakov A.,et al. Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments[J]. 美国环保署,2016,544:39-47.
APA Oliver, David M..,Porter, Kenneth D. H..,Pachepsky, Yakov A..,Muirhead, Richard W..,Reaney, Sim M..,...&Quilliam, Richard S..(2016).Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments.SCIENCE OF THE TOTAL ENVIRONMENT,544,39-47.
MLA Oliver, David M.,et al."Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments".SCIENCE OF THE TOTAL ENVIRONMENT 544(2016):39-47.
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