Analytical Framework for a Risk-based Estimation of Climate Change Effects on Mine Site Runoff Water Quality
A conceptual analytical framework was developed for the risk-based estimation of climate change effects on mine waste runoff water quality. The modeling approach incorporates temporal variability in both precipitation and temperature using trend analyses from historical datasets and the resulting ef...
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| Veröffentlicht in: | Mine water and the environment 2009-06, Vol.28 (2), p.124-135 |
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| container_title | Mine water and the environment |
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| creator | Rayne, Sierra Forest, Kaya Friesen, Ken J. |
| description | A conceptual analytical framework was developed for the risk-based estimation of climate change effects on mine waste runoff water quality. The modeling approach incorporates temporal variability in both precipitation and temperature using trend analyses from historical datasets and the resulting effects on water balances and geochemical weathering rates. A case-study method was used to develop and present the model for regions near the city of Yellowknife, Northwest Territories, Canada. Time-resolved relative precipitation and weathering factors can be calculated using climate data and site-specific estimates regarding mine waste properties. Interpretation of these factors allows an assessment of when the period of highest analyte concentrations are expected to occur under a given risk scenario over a modeling timeframe, whether low precipitation or warming effects are more important in determining water quality issues, and the relative magnitudes of water quality under differing risk scenarios. |
| doi_str_mv | 10.1007/s10230-009-0070-z |
| format | Article |
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The modeling approach incorporates temporal variability in both precipitation and temperature using trend analyses from historical datasets and the resulting effects on water balances and geochemical weathering rates. A case-study method was used to develop and present the model for regions near the city of Yellowknife, Northwest Territories, Canada. Time-resolved relative precipitation and weathering factors can be calculated using climate data and site-specific estimates regarding mine waste properties. 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Forest, Kaya ; Friesen, Ken J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a397t-795089b5f66d44e6a8a0e0f4d14747a861462a0f2c3db3cf0537915bbc49fd0a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Arsenic</topic><topic>Climate change</topic><topic>Climatic data</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecotoxicology</topic><topic>Environmental impact</topic><topic>Geology</topic><topic>Humidity</topic><topic>Hydrogeology</topic><topic>Industrial Pollution Prevention</topic><topic>Laboratories</topic><topic>Mine wastes</topic><topic>Mineral Resources</topic><topic>Mines</topic><topic>Modelling</topic><topic>Oxidation</topic><topic>Precipitation</topic><topic>Risk</topic><topic>Runoff</topic><topic>Studies</topic><topic>Technical Article</topic><topic>Temperature effects</topic><topic>Temporal variations</topic><topic>Trends</topic><topic>Water quality</topic><topic>Water Quality/Water Pollution</topic><topic>Weathering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rayne, Sierra</creatorcontrib><creatorcontrib>Forest, Kaya</creatorcontrib><creatorcontrib>Friesen, Ken J.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><jtitle>Mine water and the environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rayne, Sierra</au><au>Forest, Kaya</au><au>Friesen, Ken J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analytical Framework for a Risk-based Estimation of Climate Change Effects on Mine Site Runoff Water Quality</atitle><jtitle>Mine water and the environment</jtitle><stitle>Mine Water Environ</stitle><date>2009-06-01</date><risdate>2009</risdate><volume>28</volume><issue>2</issue><spage>124</spage><epage>135</epage><pages>124-135</pages><issn>1025-9112</issn><eissn>1616-1068</eissn><abstract>A conceptual analytical framework was developed for the risk-based estimation of climate change effects on mine waste runoff water quality. The modeling approach incorporates temporal variability in both precipitation and temperature using trend analyses from historical datasets and the resulting effects on water balances and geochemical weathering rates. A case-study method was used to develop and present the model for regions near the city of Yellowknife, Northwest Territories, Canada. Time-resolved relative precipitation and weathering factors can be calculated using climate data and site-specific estimates regarding mine waste properties. Interpretation of these factors allows an assessment of when the period of highest analyte concentrations are expected to occur under a given risk scenario over a modeling timeframe, whether low precipitation or warming effects are more important in determining water quality issues, and the relative magnitudes of water quality under differing risk scenarios.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s10230-009-0070-z</doi><tpages>12</tpages></addata></record> |
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| subjects | Arsenic Climate change Climatic data Earth and Environmental Science Earth Sciences Ecotoxicology Environmental impact Geology Humidity Hydrogeology Industrial Pollution Prevention Laboratories Mine wastes Mineral Resources Mines Modelling Oxidation Precipitation Risk Runoff Studies Technical Article Temperature effects Temporal variations Trends Water quality Water Quality/Water Pollution Weathering |
| title | Analytical Framework for a Risk-based Estimation of Climate Change Effects on Mine Site Runoff Water Quality |
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