Reliability improvement for predicting acid-forming potential of rock samples using static tests
In predicting the acid-forming potential of rock samples, a combination of acid–base accounting (ABA) and net acid generation (NAG) tests has been commonly used. While simple and economical, this method sometimes shows low reliability such as categorizing certain samples as uncertain (UC). ABA and N...
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description | In predicting the acid-forming potential of rock samples, a combination of acid–base accounting (ABA) and net acid generation (NAG) tests has been commonly used. While simple and economical, this method sometimes shows low reliability such as categorizing certain samples as uncertain (UC). ABA and NAG tests were modified to selectively recover valid minerals in nature and substituted for the original tests. ABA test overestimated acid-producing capacity (in the case of weathered samples) and acid-neutralizing capacity (in the case of plagioclase-including samples) compared to the modified ABA test. NAG test yielded lower NAG pH compared to modified NAG test for samples with high total C content and low total S content. By comparing the correlation coefficients between acid generation amounts by the two evaluation methods, it was confirmed that modified evaluation method (MEM) has a much higher reliability (
R
2
= 0.9582) than existing evaluation method (EEM) (
R
2
= 0.5873). It was also concluded that exploiting advantages of both EEM and MEM is recommended where EEM is initially applied for general classification and a supplemented static test of MEM is executed for the purpose of correcting the error of UC categorized samples. |
doi_str_mv | 10.1007/s10661-017-5906-6 |
format | Article |
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R
2
= 0.9582) than existing evaluation method (EEM) (
R
2
= 0.5873). It was also concluded that exploiting advantages of both EEM and MEM is recommended where EEM is initially applied for general classification and a supplemented static test of MEM is executed for the purpose of correcting the error of UC categorized samples.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-017-5906-6</identifier><identifier>PMID: 28382432</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Acids ; Acids - analysis ; Atmospheric Protection/Air Quality Control/Air Pollution ; Capacity ; Classification ; Coefficients ; Correlation coefficient ; Correlation coefficients ; Earth and Environmental Science ; Ecology ; Economic conditions ; Ecotoxicology ; Environment ; Environmental Management ; Environmental monitoring ; Environmental Monitoring - methods ; Error correction ; Evaluation ; Forming ; Geological Phenomena ; Geology ; Hydrogen-Ion Concentration ; Methods ; Minerals ; Minerals - chemistry ; Mining ; Models, Theoretical ; Monitoring/Environmental Analysis ; Neutralizing ; pH effects ; Plagioclase ; Reliability ; Reliability analysis ; Reproducibility of Results ; Rocks ; Sediment samples ; Static tests ; Tests ; Weather</subject><ispartof>Environmental monitoring and assessment, 2017-05, Vol.189 (5), p.207-207, Article 207</ispartof><rights>Springer International Publishing Switzerland 2017</rights><rights>Environmental Monitoring and Assessment is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-abee2342a727be029bc7cd29b3d42e457b39150f8021f02dda9976d7f46f33bc3</citedby><cites>FETCH-LOGICAL-c372t-abee2342a727be029bc7cd29b3d42e457b39150f8021f02dda9976d7f46f33bc3</cites><orcidid>0000-0003-0071-2713</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-017-5906-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-017-5906-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28382432$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oh, Chamteut</creatorcontrib><creatorcontrib>Ji, Sangwoo</creatorcontrib><creatorcontrib>Chon, Chul-Min</creatorcontrib><creatorcontrib>Yim, Giljae</creatorcontrib><creatorcontrib>Cheong, Youngwook</creatorcontrib><title>Reliability improvement for predicting acid-forming potential of rock samples using static tests</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>In predicting the acid-forming potential of rock samples, a combination of acid–base accounting (ABA) and net acid generation (NAG) tests has been commonly used. While simple and economical, this method sometimes shows low reliability such as categorizing certain samples as uncertain (UC). ABA and NAG tests were modified to selectively recover valid minerals in nature and substituted for the original tests. ABA test overestimated acid-producing capacity (in the case of weathered samples) and acid-neutralizing capacity (in the case of plagioclase-including samples) compared to the modified ABA test. NAG test yielded lower NAG pH compared to modified NAG test for samples with high total C content and low total S content. By comparing the correlation coefficients between acid generation amounts by the two evaluation methods, it was confirmed that modified evaluation method (MEM) has a much higher reliability (
R
2
= 0.9582) than existing evaluation method (EEM) (
R
2
= 0.5873). It was also concluded that exploiting advantages of both EEM and MEM is recommended where EEM is initially applied for general classification and a supplemented static test of MEM is executed for the purpose of correcting the error of UC categorized samples.</description><subject>Acids</subject><subject>Acids - analysis</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Capacity</subject><subject>Classification</subject><subject>Coefficients</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Economic conditions</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental monitoring</subject><subject>Environmental Monitoring - methods</subject><subject>Error correction</subject><subject>Evaluation</subject><subject>Forming</subject><subject>Geological Phenomena</subject><subject>Geology</subject><subject>Hydrogen-Ion Concentration</subject><subject>Methods</subject><subject>Minerals</subject><subject>Minerals - chemistry</subject><subject>Mining</subject><subject>Models, Theoretical</subject><subject>Monitoring/Environmental Analysis</subject><subject>Neutralizing</subject><subject>pH effects</subject><subject>Plagioclase</subject><subject>Reliability</subject><subject>Reliability analysis</subject><subject>Reproducibility of Results</subject><subject>Rocks</subject><subject>Sediment samples</subject><subject>Static tests</subject><subject>Tests</subject><subject>Weather</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kF1rHCEUhqW0JNttfkBvipCb3NgedUbHy7AkaWAhEJpr4zjOYjJfUaew_75Od1NCoFcHPc95jz4IfaXwnQLIH5GCEJQAlaRUIIj4gFa0lJwwVaqPaAVUSCK4UKfoc4xPAKBkoU7QKat4xQrOVujx3nXe1L7zaY99P4Xxt-vdkHA7BjwF13ib_LDDxvqG5Lt-OUxjyog3HR5bHEb7jKPpp85FPMelH5NJ3uLkYopf0KfWdNGdHesaPVxf_dr8JNu7m9vN5ZZYLlkipnaO8YIZyWTtgKnaStvkwpuCuaKUNVe0hLYCRltgTWOUkqKRbSFazmvL1-jikJu_8DLnzbr30bquM4Mb56hpVRWVolBARs_foU_jHIb8ur9U9sWqhaIHyoYxxuBaPQXfm7DXFPSiXx_066xfL_q1yDPfjslz3bvm38Sr7wywAxBza9i58Gb1f1P_AOU5kNY</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Oh, Chamteut</creator><creator>Ji, Sangwoo</creator><creator>Chon, Chul-Min</creator><creator>Yim, Giljae</creator><creator>Cheong, Youngwook</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0071-2713</orcidid></search><sort><creationdate>20170501</creationdate><title>Reliability improvement for predicting acid-forming potential of rock samples using static tests</title><author>Oh, Chamteut ; Ji, Sangwoo ; Chon, Chul-Min ; Yim, Giljae ; Cheong, Youngwook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-abee2342a727be029bc7cd29b3d42e457b39150f8021f02dda9976d7f46f33bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acids</topic><topic>Acids - analysis</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Capacity</topic><topic>Classification</topic><topic>Coefficients</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Economic conditions</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Management</topic><topic>Environmental monitoring</topic><topic>Environmental Monitoring - methods</topic><topic>Error correction</topic><topic>Evaluation</topic><topic>Forming</topic><topic>Geological Phenomena</topic><topic>Geology</topic><topic>Hydrogen-Ion Concentration</topic><topic>Methods</topic><topic>Minerals</topic><topic>Minerals - chemistry</topic><topic>Mining</topic><topic>Models, Theoretical</topic><topic>Monitoring/Environmental Analysis</topic><topic>Neutralizing</topic><topic>pH effects</topic><topic>Plagioclase</topic><topic>Reliability</topic><topic>Reliability analysis</topic><topic>Reproducibility of Results</topic><topic>Rocks</topic><topic>Sediment samples</topic><topic>Static tests</topic><topic>Tests</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oh, Chamteut</creatorcontrib><creatorcontrib>Ji, Sangwoo</creatorcontrib><creatorcontrib>Chon, Chul-Min</creatorcontrib><creatorcontrib>Yim, Giljae</creatorcontrib><creatorcontrib>Cheong, Youngwook</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</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>Business Premium Collection</collection><collection>Natural 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>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</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>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oh, Chamteut</au><au>Ji, Sangwoo</au><au>Chon, Chul-Min</au><au>Yim, Giljae</au><au>Cheong, Youngwook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability improvement for predicting acid-forming potential of rock samples using static tests</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>189</volume><issue>5</issue><spage>207</spage><epage>207</epage><pages>207-207</pages><artnum>207</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>In predicting the acid-forming potential of rock samples, a combination of acid–base accounting (ABA) and net acid generation (NAG) tests has been commonly used. While simple and economical, this method sometimes shows low reliability such as categorizing certain samples as uncertain (UC). ABA and NAG tests were modified to selectively recover valid minerals in nature and substituted for the original tests. ABA test overestimated acid-producing capacity (in the case of weathered samples) and acid-neutralizing capacity (in the case of plagioclase-including samples) compared to the modified ABA test. NAG test yielded lower NAG pH compared to modified NAG test for samples with high total C content and low total S content. By comparing the correlation coefficients between acid generation amounts by the two evaluation methods, it was confirmed that modified evaluation method (MEM) has a much higher reliability (
R
2
= 0.9582) than existing evaluation method (EEM) (
R
2
= 0.5873). It was also concluded that exploiting advantages of both EEM and MEM is recommended where EEM is initially applied for general classification and a supplemented static test of MEM is executed for the purpose of correcting the error of UC categorized samples.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>28382432</pmid><doi>10.1007/s10661-017-5906-6</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0071-2713</orcidid></addata></record> |
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subjects | Acids Acids - analysis Atmospheric Protection/Air Quality Control/Air Pollution Capacity Classification Coefficients Correlation coefficient Correlation coefficients Earth and Environmental Science Ecology Economic conditions Ecotoxicology Environment Environmental Management Environmental monitoring Environmental Monitoring - methods Error correction Evaluation Forming Geological Phenomena Geology Hydrogen-Ion Concentration Methods Minerals Minerals - chemistry Mining Models, Theoretical Monitoring/Environmental Analysis Neutralizing pH effects Plagioclase Reliability Reliability analysis Reproducibility of Results Rocks Sediment samples Static tests Tests Weather |
title | Reliability improvement for predicting acid-forming potential of rock samples using static tests |
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