Using the INCA-Hg model of mercury cycling to simulate total and methyl mercury concentrations in forest streams and catchments

We present a new, catchment-scale, process-based dynamic model for simulating mercury (Hg) in soils and surface waters. The Integrated Catchments Model for Mercury (INCA-Hg) simulates transport of gaseous, dissolved and solid Hg and transformations between elemental (Hg0), ionic (Hg(II)) and methyl...

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Veröffentlicht in:The Science of the total environment 2012-05, Vol.424, p.219-231
Hauptverfasser: Futter, M.N., Poste, A.E., Butterfield, D., Dillon, P.J., Whitehead, P.G., Dastoor, A.P., Lean, D.R.S.
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container_issue
container_start_page 219
container_title The Science of the total environment
container_volume 424
creator Futter, M.N.
Poste, A.E.
Butterfield, D.
Dillon, P.J.
Whitehead, P.G.
Dastoor, A.P.
Lean, D.R.S.
description We present a new, catchment-scale, process-based dynamic model for simulating mercury (Hg) in soils and surface waters. The Integrated Catchments Model for Mercury (INCA-Hg) simulates transport of gaseous, dissolved and solid Hg and transformations between elemental (Hg0), ionic (Hg(II)) and methyl (MeHg) Hg in natural and semi-natural landscapes. The mathematical description represents the model as a series of linked, first-order differential equations describing chemical and hydrological processes in catchment soils and waters which we believe control surface water Hg dynamics. The model simulates daily time series between one and 100years long and can be applied to catchments ranging in size from
doi_str_mv 10.1016/j.scitotenv.2012.02.048
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The Integrated Catchments Model for Mercury (INCA-Hg) simulates transport of gaseous, dissolved and solid Hg and transformations between elemental (Hg0), ionic (Hg(II)) and methyl (MeHg) Hg in natural and semi-natural landscapes. The mathematical description represents the model as a series of linked, first-order differential equations describing chemical and hydrological processes in catchment soils and waters which we believe control surface water Hg dynamics. The model simulates daily time series between one and 100years long and can be applied to catchments ranging in size from &lt;1 to ~10,000km2. Here we present applications of the model to two boreal forest headwater catchments in central Canada where we were able to reproduce observed patterns of stream water total mercury (THg) and MeHg fluxes and concentrations. Model performance was assessed using Monte Carlo techniques. 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Geothermics ; Environment ; Environmental Monitoring - methods ; Environmental Sciences ; Exact sciences and technology ; Forest stream biogeochemistry ; Hydrology ; INCA ; Mathematical models ; Mercury ; Mercury - analysis ; Mercury - chemistry ; Methylmercury ; methylmercury compounds ; Methylmercury Compounds - analysis ; Methylmercury Compounds - chemistry ; Miljövetenskap ; model validation ; Models, Chemical ; Monte Carlo Method ; Monte Carlo methods ; Natural water pollution ; Oceanografi, hydrologi, vattenresurser ; Oceanography, Hydrology, Water Resources ; Ontario ; Pollution ; Pollution, environment geology ; Rivers - chemistry ; Seasons ; Sensitivity and Specificity ; simulation models ; Soil and sediments pollution ; soil water ; Soils ; Streams ; surface water ; time series analysis ; Water Pollutants, Chemical - analysis ; Water Pollutants, Chemical - chemistry ; Water treatment and pollution ; watersheds</subject><ispartof>The Science of the total environment, 2012-05, Vol.424, p.219-231</ispartof><rights>2012 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 Elsevier B.V. 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The Integrated Catchments Model for Mercury (INCA-Hg) simulates transport of gaseous, dissolved and solid Hg and transformations between elemental (Hg0), ionic (Hg(II)) and methyl (MeHg) Hg in natural and semi-natural landscapes. The mathematical description represents the model as a series of linked, first-order differential equations describing chemical and hydrological processes in catchment soils and waters which we believe control surface water Hg dynamics. The model simulates daily time series between one and 100years long and can be applied to catchments ranging in size from &lt;1 to ~10,000km2. Here we present applications of the model to two boreal forest headwater catchments in central Canada where we were able to reproduce observed patterns of stream water total mercury (THg) and MeHg fluxes and concentrations. Model performance was assessed using Monte Carlo techniques. 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Geothermics</subject><subject>Environment</subject><subject>Environmental Monitoring - methods</subject><subject>Environmental Sciences</subject><subject>Exact sciences and technology</subject><subject>Forest stream biogeochemistry</subject><subject>Hydrology</subject><subject>INCA</subject><subject>Mathematical models</subject><subject>Mercury</subject><subject>Mercury - analysis</subject><subject>Mercury - chemistry</subject><subject>Methylmercury</subject><subject>methylmercury compounds</subject><subject>Methylmercury Compounds - analysis</subject><subject>Methylmercury Compounds - chemistry</subject><subject>Miljövetenskap</subject><subject>model validation</subject><subject>Models, Chemical</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo methods</subject><subject>Natural water pollution</subject><subject>Oceanografi, hydrologi, vattenresurser</subject><subject>Oceanography, Hydrology, Water Resources</subject><subject>Ontario</subject><subject>Pollution</subject><subject>Pollution, environment geology</subject><subject>Rivers - chemistry</subject><subject>Seasons</subject><subject>Sensitivity and Specificity</subject><subject>simulation models</subject><subject>Soil and sediments pollution</subject><subject>soil water</subject><subject>Soils</subject><subject>Streams</subject><subject>surface water</subject><subject>time series analysis</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water Pollutants, Chemical - chemistry</subject><subject>Water treatment and pollution</subject><subject>watersheds</subject><issn>0048-9697</issn><issn>1879-1026</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0k1v0zAYB_AIgVgZfAXmCxKXFL_Fdo5VBWzSBAfo2XKcJ62rJC62M9QTXx13Kd1xRFYcWb_H_it-iuKG4CXBRHzaL6N1yScYH5YUE7rEeXD1olgQJeuSYCpeFgucl8pa1PKqeBPjHudHKvK6uKKUc46FWBR_NtGNW5R2gO6-rVfl7RYNvoUe-Q4NEOwUjsgebf-IPIpumHqTIH8n0yMztlml3bF_wn60MKZgkvNjRG5EnQ8QE4opgBniY401ye6GzOLb4lVn-gjvzvN1sfny-ef6trz__vVuvbovbUXrVIpWGIJlVwlKOglC8EoCkx3UCmReJ20jGW4sWGyoFEAsVowKBYowplrGroty3jf-hsPU6ENwgwlH7Y3TsZ8aE06TjqA544Jn_3H2h-B_TTm_Hly00PdmBD9FTaTETOIqv5-lmMha1gKL_6CY1IIKVmcqZ2qDjzFAd4lM8GlLoff60gP61AMa58FVrnx_PmRqBmgvdf8uPYMPZ2CiNX0XzGhdfHKVolKS0z-7mV1nvDbbkM3mRz6J55SKSFplsZoF5Kt7cBBOkSA3QOsC2KRb756N-xfild5G</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Futter, M.N.</creator><creator>Poste, A.E.</creator><creator>Butterfield, D.</creator><creator>Dillon, P.J.</creator><creator>Whitehead, P.G.</creator><creator>Dastoor, A.P.</creator><creator>Lean, D.R.S.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QH</scope><scope>7ST</scope><scope>7TV</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>SOI</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>ADTPV</scope><scope>AOWAS</scope></search><sort><creationdate>20120501</creationdate><title>Using the INCA-Hg model of mercury cycling to simulate total and methyl mercury concentrations in forest streams and catchments</title><author>Futter, M.N. ; Poste, A.E. ; Butterfield, D. ; Dillon, P.J. ; Whitehead, P.G. ; Dastoor, A.P. ; Lean, D.R.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c529t-6d6a107f5621f7e66457e37fe98e707f1db730bcec0a276e1c083268e81338d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Applied sciences</topic><topic>Biological and physicochemical properties of pollutants. 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Geothermics</topic><topic>Environment</topic><topic>Environmental Monitoring - methods</topic><topic>Environmental Sciences</topic><topic>Exact sciences and technology</topic><topic>Forest stream biogeochemistry</topic><topic>Hydrology</topic><topic>INCA</topic><topic>Mathematical models</topic><topic>Mercury</topic><topic>Mercury - analysis</topic><topic>Mercury - chemistry</topic><topic>Methylmercury</topic><topic>methylmercury compounds</topic><topic>Methylmercury Compounds - analysis</topic><topic>Methylmercury Compounds - chemistry</topic><topic>Miljövetenskap</topic><topic>model validation</topic><topic>Models, Chemical</topic><topic>Monte Carlo Method</topic><topic>Monte Carlo methods</topic><topic>Natural water pollution</topic><topic>Oceanografi, hydrologi, vattenresurser</topic><topic>Oceanography, Hydrology, Water Resources</topic><topic>Ontario</topic><topic>Pollution</topic><topic>Pollution, environment geology</topic><topic>Rivers - chemistry</topic><topic>Seasons</topic><topic>Sensitivity and Specificity</topic><topic>simulation models</topic><topic>Soil and sediments pollution</topic><topic>soil water</topic><topic>Soils</topic><topic>Streams</topic><topic>surface water</topic><topic>time series analysis</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>Water Pollutants, Chemical - chemistry</topic><topic>Water treatment and pollution</topic><topic>watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Futter, M.N.</creatorcontrib><creatorcontrib>Poste, A.E.</creatorcontrib><creatorcontrib>Butterfield, D.</creatorcontrib><creatorcontrib>Dillon, P.J.</creatorcontrib><creatorcontrib>Whitehead, P.G.</creatorcontrib><creatorcontrib>Dastoor, A.P.</creatorcontrib><creatorcontrib>Lean, D.R.S.</creatorcontrib><creatorcontrib>Sveriges lantbruksuniversitet</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>SwePub</collection><collection>SwePub Articles</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Futter, M.N.</au><au>Poste, A.E.</au><au>Butterfield, D.</au><au>Dillon, P.J.</au><au>Whitehead, P.G.</au><au>Dastoor, A.P.</au><au>Lean, D.R.S.</au><aucorp>Sveriges lantbruksuniversitet</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using the INCA-Hg model of mercury cycling to simulate total and methyl mercury concentrations in forest streams and catchments</atitle><jtitle>The Science of the total environment</jtitle><addtitle>Sci Total Environ</addtitle><date>2012-05-01</date><risdate>2012</risdate><volume>424</volume><spage>219</spage><epage>231</epage><pages>219-231</pages><issn>0048-9697</issn><issn>1879-1026</issn><eissn>1879-1026</eissn><coden>STENDL</coden><abstract>We present a new, catchment-scale, process-based dynamic model for simulating mercury (Hg) in soils and surface waters. The Integrated Catchments Model for Mercury (INCA-Hg) simulates transport of gaseous, dissolved and solid Hg and transformations between elemental (Hg0), ionic (Hg(II)) and methyl (MeHg) Hg in natural and semi-natural landscapes. The mathematical description represents the model as a series of linked, first-order differential equations describing chemical and hydrological processes in catchment soils and waters which we believe control surface water Hg dynamics. The model simulates daily time series between one and 100years long and can be applied to catchments ranging in size from &lt;1 to ~10,000km2. Here we present applications of the model to two boreal forest headwater catchments in central Canada where we were able to reproduce observed patterns of stream water total mercury (THg) and MeHg fluxes and concentrations. Model performance was assessed using Monte Carlo techniques. Simulated in-stream THg and MeHg concentrations were sensitive to hydrologic controls and terrestrial and aquatic process rates.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><pmid>22444066</pmid><doi>10.1016/j.scitotenv.2012.02.048</doi><tpages>13</tpages></addata></record>
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subjects Applied sciences
Biological and physicochemical properties of pollutants. Interaction in the soil
boreal forests
Catchment model
Catchments
Computer simulation
Continental surface waters
Dorset
dynamic models
Earth sciences
Earth, ocean, space
Engineering and environment geology. Geothermics
Environment
Environmental Monitoring - methods
Environmental Sciences
Exact sciences and technology
Forest stream biogeochemistry
Hydrology
INCA
Mathematical models
Mercury
Mercury - analysis
Mercury - chemistry
Methylmercury
methylmercury compounds
Methylmercury Compounds - analysis
Methylmercury Compounds - chemistry
Miljövetenskap
model validation
Models, Chemical
Monte Carlo Method
Monte Carlo methods
Natural water pollution
Oceanografi, hydrologi, vattenresurser
Oceanography, Hydrology, Water Resources
Ontario
Pollution
Pollution, environment geology
Rivers - chemistry
Seasons
Sensitivity and Specificity
simulation models
Soil and sediments pollution
soil water
Soils
Streams
surface water
time series analysis
Water Pollutants, Chemical - analysis
Water Pollutants, Chemical - chemistry
Water treatment and pollution
watersheds
title Using the INCA-Hg model of mercury cycling to simulate total and methyl mercury concentrations in forest streams and catchments
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