Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Scale appropriate modelling of diffuse microbial pollution from agriculture
by
Oliver, David M.
, Winter, Michael
, Chadwick, Dave R.
, Butler, Allan J.
, Heathwaite, A. Louise
, Fish, Rob D.
, Hodgson, Chris J.
in
Agricultural development
/ Agricultural pollution
/ Agriculture
/ Applied ecology
/ Aquatic ecosystems
/ Bgi / Prodig
/ Biogeography
/ Community research
/ Economic development
/ Economic models
/ Geography
/ Interdisciplinary aspects
/ Microbiology
/ Microorganisms
/ Physical geography
/ Pollutants
/ Pollution
/ Receiving waters
/ Sampling
/ Scrutiny
/ Uncertainty
/ Water pollution
/ Watercourses
2009
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Scale appropriate modelling of diffuse microbial pollution from agriculture
by
Oliver, David M.
, Winter, Michael
, Chadwick, Dave R.
, Butler, Allan J.
, Heathwaite, A. Louise
, Fish, Rob D.
, Hodgson, Chris J.
in
Agricultural development
/ Agricultural pollution
/ Agriculture
/ Applied ecology
/ Aquatic ecosystems
/ Bgi / Prodig
/ Biogeography
/ Community research
/ Economic development
/ Economic models
/ Geography
/ Interdisciplinary aspects
/ Microbiology
/ Microorganisms
/ Physical geography
/ Pollutants
/ Pollution
/ Receiving waters
/ Sampling
/ Scrutiny
/ Uncertainty
/ Water pollution
/ Watercourses
2009
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Scale appropriate modelling of diffuse microbial pollution from agriculture
by
Oliver, David M.
, Winter, Michael
, Chadwick, Dave R.
, Butler, Allan J.
, Heathwaite, A. Louise
, Fish, Rob D.
, Hodgson, Chris J.
in
Agricultural development
/ Agricultural pollution
/ Agriculture
/ Applied ecology
/ Aquatic ecosystems
/ Bgi / Prodig
/ Biogeography
/ Community research
/ Economic development
/ Economic models
/ Geography
/ Interdisciplinary aspects
/ Microbiology
/ Microorganisms
/ Physical geography
/ Pollutants
/ Pollution
/ Receiving waters
/ Sampling
/ Scrutiny
/ Uncertainty
/ Water pollution
/ Watercourses
2009
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Scale appropriate modelling of diffuse microbial pollution from agriculture
Journal Article
Scale appropriate modelling of diffuse microbial pollution from agriculture
2009
Request Book From Autostore
and Choose the Collection Method
Overview
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 is presented, and these include: (1) appreciating inadequacies in baseline sampling to underpin model development; (2) uncertainty in the magnitudes of microbial pollutants attributed to different faecal sources; (3) continued development of the empirical evidence base in line with other agricultural pollutants; (4) acknowledging the value of interdisciplinary working; and (5) 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.
This website uses cookies to ensure you get the best experience on our website.