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<front>
<journal-meta>
<journal-id journal-id-type="publisher">HESS</journal-id>
<journal-title-group>
<journal-title>Hydrology and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">HESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Hydrol. Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1607-7938</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/hess-19-1641-2015</article-id>
<title-group>
<article-title>The Catchment Runoff Attenuation Flux Tool, a minimum information requirement nutrient pollution model</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Adams</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Quinn</surname>
<given-names>P. F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bowes</surname>
<given-names>M. J.</given-names>
<ext-link>https://orcid.org/0000-0002-0673-1934</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>09</day>
<month>04</month>
<year>2015</year>
</pub-date>
<volume>19</volume>
<issue>4</issue>
<fpage>1641</fpage>
<lpage>1657</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 R. Adams et al.</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://hess.copernicus.org/articles/19/1641/2015/hess-19-1641-2015.html">This article is available from https://hess.copernicus.org/articles/19/1641/2015/hess-19-1641-2015.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/19/1641/2015/hess-19-1641-2015.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/19/1641/2015/hess-19-1641-2015.pdf</self-uri>
<abstract>
<p>A model for simulating runoff pathways and water quality fluxes has been
developed using the minimum information requirement (MIR) approach. The
model, the Catchment Runoff Attenuation Flux Tool (CRAFT), is applicable to
mesoscale catchments and focusses primarily on hydrological pathways that
mobilise nutrients. Hence CRAFT can be used to investigate the impact of flow
pathway management intervention strategies designed to reduce the loads of
nutrients into receiving watercourses. The model can help policy makers meet
water quality targets and consider methods to obtain &quot;good&quot; ecological
status.
&lt;br&gt;&lt;br&gt;
A case study of the 414 km&lt;sup&gt;2&lt;/sup&gt; Frome catchment, Dorset, UK, has been
described here as an application of CRAFT in order to highlight
the above issues at the mesoscale. The model was primarily calibrated on
10-year records of weekly data to reproduce the observed flows and nutrient
(nitrate nitrogen – N; phosphorus – P) concentrations. Data from 2
years with sub-daily monitoring at the same site were also analysed. These
data highlighted some additional signals in the nutrient flux, particularly
of soluble reactive phosphorus, which were not observable in the weekly
data. This analysis has prompted the choice of using a daily time step as the
minimum information requirement to simulate the processes observed at the
mesoscale, including the impact of uncertainty. A management intervention
scenario was also run to demonstrate how the model can support catchment
managers investigating how reducing the concentrations of N and P in the
various flow pathways. This mesoscale modelling tool can help policy makers
consider a range of strategies to meet the European Union (EU) water quality
targets for this type of catchment.</p>
</abstract>
<counts><page-count count="17"/></counts>
</article-meta>
</front>
<body/>
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