Assessment of Mine Water Environmental Impact: A Fuzzy Reliability Approach
This paper describes a stepwise method for assessing lead hazards associated with mining. The procedural framework was constructed in a decision-tree format to facilitate a reliability estimate in the watershed. A sigmoid fuzzy membership function was proposed for measuring risks. Using the α-cut te...
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| Veröffentlicht in: | Mine water and the environment 2019-03, Vol.38 (1), p.30-38 |
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| creator | Rezaei, Z. Ataee-pour, M. |
| description | This paper describes a stepwise method for assessing lead hazards associated with mining. The procedural framework was constructed in a decision-tree format to facilitate a reliability estimate in the watershed. A sigmoid fuzzy membership function was proposed for measuring risks. Using the α-cut technique, seven areas of risk in the region were provided for all types of water use. The suggested model was validated at the Emarat lead mine, Iran. Samples were taken from the mine face, entrance tunnel, and drainage waters at the entrance and exit point of the processing plant and tailings dam. All of the samples were located in a very high risk zone (reliability = 0) for animal drinking water, but some could be used for crop irrigation (mine site’s samples reliability > 0.77 and processing plant’s samples reliability > 80). |
| doi_str_mv | 10.1007/s10230-018-00571-4 |
| format | Article |
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The procedural framework was constructed in a decision-tree format to facilitate a reliability estimate in the watershed. A sigmoid fuzzy membership function was proposed for measuring risks. Using the α-cut technique, seven areas of risk in the region were provided for all types of water use. The suggested model was validated at the Emarat lead mine, Iran. Samples were taken from the mine face, entrance tunnel, and drainage waters at the entrance and exit point of the processing plant and tailings dam. All of the samples were located in a very high risk zone (reliability = 0) for animal drinking water, but some could be used for crop irrigation (mine site’s samples reliability > 0.77 and processing plant’s samples reliability > 80).</description><identifier>ISSN: 1025-9112</identifier><identifier>EISSN: 1616-1068</identifier><identifier>DOI: 10.1007/s10230-018-00571-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agriculture ; Decision trees ; Drainage ; Drinking water ; Earth and Environmental Science ; Earth Sciences ; Ecotoxicology ; Entrances ; Environmental impact ; Environmental monitoring ; Frameworks ; Fuzzy sets ; Geology ; Hazard assessment ; Hydrogeology ; Hydrology ; Industrial Pollution Prevention ; Irrigation ; Lead ; Lead content ; Marine environment ; Mine drainage ; Mine tailings ; Mine waters ; Mineral processing ; Mineral Resources ; Mining ; Plant reliability ; Reliability ; Reliability analysis ; Retention ; Rural areas ; Spectrum analysis ; Standard deviation ; Technical Article ; Tunnels ; Water quality ; Water Quality/Water Pollution ; Water use ; Watersheds</subject><ispartof>Mine water and the environment, 2019-03, Vol.38 (1), p.30-38</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Mine Water and the Environment is a copyright of Springer, (2019). All Rights Reserved.</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c347t-6bca6f7cedc91920a73b8f5f50700d40bbfce9cdff4eb67bdcf8a34e7a585fd3</citedby><cites>FETCH-LOGICAL-c347t-6bca6f7cedc91920a73b8f5f50700d40bbfce9cdff4eb67bdcf8a34e7a585fd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10230-018-00571-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10230-018-00571-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Rezaei, Z.</creatorcontrib><creatorcontrib>Ataee-pour, M.</creatorcontrib><title>Assessment of Mine Water Environmental Impact: A Fuzzy Reliability Approach</title><title>Mine water and the environment</title><addtitle>Mine Water Environ</addtitle><description>This paper describes a stepwise method for assessing lead hazards associated with mining. The procedural framework was constructed in a decision-tree format to facilitate a reliability estimate in the watershed. A sigmoid fuzzy membership function was proposed for measuring risks. Using the α-cut technique, seven areas of risk in the region were provided for all types of water use. The suggested model was validated at the Emarat lead mine, Iran. Samples were taken from the mine face, entrance tunnel, and drainage waters at the entrance and exit point of the processing plant and tailings dam. All of the samples were located in a very high risk zone (reliability = 0) for animal drinking water, but some could be used for crop irrigation (mine site’s samples reliability > 0.77 and processing plant’s samples reliability > 80).</description><subject>Agriculture</subject><subject>Decision trees</subject><subject>Drainage</subject><subject>Drinking water</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecotoxicology</subject><subject>Entrances</subject><subject>Environmental impact</subject><subject>Environmental monitoring</subject><subject>Frameworks</subject><subject>Fuzzy sets</subject><subject>Geology</subject><subject>Hazard assessment</subject><subject>Hydrogeology</subject><subject>Hydrology</subject><subject>Industrial Pollution Prevention</subject><subject>Irrigation</subject><subject>Lead</subject><subject>Lead content</subject><subject>Marine environment</subject><subject>Mine drainage</subject><subject>Mine tailings</subject><subject>Mine waters</subject><subject>Mineral processing</subject><subject>Mineral Resources</subject><subject>Mining</subject><subject>Plant reliability</subject><subject>Reliability</subject><subject>Reliability analysis</subject><subject>Retention</subject><subject>Rural areas</subject><subject>Spectrum analysis</subject><subject>Standard deviation</subject><subject>Technical Article</subject><subject>Tunnels</subject><subject>Water quality</subject><subject>Water Quality/Water Pollution</subject><subject>Water use</subject><subject>Watersheds</subject><issn>1025-9112</issn><issn>1616-1068</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kNFKwzAUhoMoOKcv4FXA6-hJ0iatd2VsOlQEGXgZ0jTRjq6tSSdsT29mBe92dQ6c7_8PfAhdU7ilAPIuUGAcCNCMAKSSkuQETaigglAQ2WncgaUkp5Sdo4sQ1gBUCpZO0FMRgg1hY9sBdw6_1K3F73qwHs_b79p37eGiG7zc9NoM97jAi-1-v8Nvtql1WTf1sMNF3_tOm89LdOZ0E-zV35yi1WK-mj2S59eH5ax4JoYnciCiNFo4aWxlcpoz0JKXmUtdChKgSqAsnbG5qZxLbClkWRmXaZ5YqdMsdRWfopuxNn792towqHW39W38qFhOMyoE5fIoFREmeSZ5pNhIGd-F4K1Tva832u8UBXUwq0azKppVv2ZVEkN8DIUItx_W_1cfSf0AXm97pg</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Rezaei, Z.</creator><creator>Ataee-pour, M.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8C1</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20190301</creationdate><title>Assessment of Mine Water Environmental Impact: A Fuzzy Reliability Approach</title><author>Rezaei, Z. ; Ataee-pour, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-6bca6f7cedc91920a73b8f5f50700d40bbfce9cdff4eb67bdcf8a34e7a585fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agriculture</topic><topic>Decision trees</topic><topic>Drainage</topic><topic>Drinking water</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecotoxicology</topic><topic>Entrances</topic><topic>Environmental impact</topic><topic>Environmental monitoring</topic><topic>Frameworks</topic><topic>Fuzzy sets</topic><topic>Geology</topic><topic>Hazard assessment</topic><topic>Hydrogeology</topic><topic>Hydrology</topic><topic>Industrial Pollution Prevention</topic><topic>Irrigation</topic><topic>Lead</topic><topic>Lead content</topic><topic>Marine environment</topic><topic>Mine drainage</topic><topic>Mine tailings</topic><topic>Mine waters</topic><topic>Mineral processing</topic><topic>Mineral Resources</topic><topic>Mining</topic><topic>Plant reliability</topic><topic>Reliability</topic><topic>Reliability analysis</topic><topic>Retention</topic><topic>Rural areas</topic><topic>Spectrum analysis</topic><topic>Standard deviation</topic><topic>Technical Article</topic><topic>Tunnels</topic><topic>Water quality</topic><topic>Water Quality/Water Pollution</topic><topic>Water use</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rezaei, Z.</creatorcontrib><creatorcontrib>Ataee-pour, M.</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><jtitle>Mine water and the environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rezaei, Z.</au><au>Ataee-pour, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Mine Water Environmental Impact: A Fuzzy Reliability Approach</atitle><jtitle>Mine water and the environment</jtitle><stitle>Mine Water Environ</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>38</volume><issue>1</issue><spage>30</spage><epage>38</epage><pages>30-38</pages><issn>1025-9112</issn><eissn>1616-1068</eissn><abstract>This paper describes a stepwise method for assessing lead hazards associated with mining. The procedural framework was constructed in a decision-tree format to facilitate a reliability estimate in the watershed. A sigmoid fuzzy membership function was proposed for measuring risks. Using the α-cut technique, seven areas of risk in the region were provided for all types of water use. The suggested model was validated at the Emarat lead mine, Iran. Samples were taken from the mine face, entrance tunnel, and drainage waters at the entrance and exit point of the processing plant and tailings dam. All of the samples were located in a very high risk zone (reliability = 0) for animal drinking water, but some could be used for crop irrigation (mine site’s samples reliability > 0.77 and processing plant’s samples reliability > 80).</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10230-018-00571-4</doi><tpages>9</tpages></addata></record> |
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| subjects | Agriculture Decision trees Drainage Drinking water Earth and Environmental Science Earth Sciences Ecotoxicology Entrances Environmental impact Environmental monitoring Frameworks Fuzzy sets Geology Hazard assessment Hydrogeology Hydrology Industrial Pollution Prevention Irrigation Lead Lead content Marine environment Mine drainage Mine tailings Mine waters Mineral processing Mineral Resources Mining Plant reliability Reliability Reliability analysis Retention Rural areas Spectrum analysis Standard deviation Technical Article Tunnels Water quality Water Quality/Water Pollution Water use Watersheds |
| title | Assessment of Mine Water Environmental Impact: A Fuzzy Reliability Approach |
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