<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Patrizia Onnis</dc:contributor>
  <dc:contributor>Robert L. Runkel</dc:contributor>
  <dc:contributor>Ilaria Frau</dc:contributor>
  <dc:contributor>Sarah F. L. Lynch</dc:contributor>
  <dc:contributor>Aaron M. L. Brown</dc:contributor>
  <dc:contributor>Iain Robertson</dc:contributor>
  <dc:contributor>Paul Edwards</dc:contributor>
  <dc:creator>Patrick Byrne</dc:creator>
  <dc:date>2021</dc:date>
  <dc:description>&lt;p&gt;Prioritisation of mine pollution sources for remediation is a key challenge facing environmental managers. This paper presents a numerical modelling methodology to evaluate potential improvements in stream water quality from remediation of important mine pollution sources. High spatial resolution synoptic sampling data from a Welsh watershed were used to calibrate the OTIS solute transport model. Simulation of mine pollution remediation scenarios using OTIS revealed decreases in stream Zn concentrations between 9% and 62% under mean streamflow conditions. Remediation scenarios under low streamflow conditions were less effective (&amp;lt;1% to 17% decrease in Zn concentrations), due to diffuse and metal-rich groundwater inflows.&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:language>en</dc:language>
  <dc:publisher>ISI Thomson</dc:publisher>
  <dc:title>Numerical modelling of mine pollution to inform remediation decision-making in watersheds</dc:title>
  <dc:type>text</dc:type>
</oai_dc:dc>