COD fraction analysis of anaerobic digester supernatant and piggery wastewater, using respirometric method
When operating an activated sludge model (ASM), organic matters among input data criteria including pH, temperature, sludge retention time, and many more, can be categorized to its own characteristics. Such category includes chemical oxygen demand (COD) and biochemical oxygen demand. However, these...
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| Veröffentlicht in: | Environmental earth sciences 2016, Vol.75 (1), p.1, Article 47 |
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| creator | Im, Jiyeol Kim, Daeik Gil, Kyungik |
| description | When operating an activated sludge model (ASM), organic matters among input data criteria including pH, temperature, sludge retention time, and many more, can be categorized to its own characteristics. Such category includes chemical oxygen demand (COD) and biochemical oxygen demand. However, these are not likely to represent benchmark criteria meeting the conditions required by ASM. In this study, experimenting piggery wastewater and an anaerobic digester supernatant from municipal wastewater treatment plants (MWTPs) with the use of the microbial respirometric method, the true categories for organic matters were implemented and assessed for the requirements of ASM. It was found that piggery wastewater was categorized with biodegradable organic matters with high content of slowly biodegradable COD, while anaerobic digester supernatant was mostly composed of non-biodegradable organic matters in high content of inert COD. When the COD fraction ratio discovered in this study is applied to an ASM for an accurate monitoring of a treating process of piggery wastewater and anaerobic digester supernatant, the findings could make a useful database in designing a biological treatment process and operating it in MWTP. |
| doi_str_mv | 10.1007/s12665-015-4868-7 |
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Such category includes chemical oxygen demand (COD) and biochemical oxygen demand. However, these are not likely to represent benchmark criteria meeting the conditions required by ASM. In this study, experimenting piggery wastewater and an anaerobic digester supernatant from municipal wastewater treatment plants (MWTPs) with the use of the microbial respirometric method, the true categories for organic matters were implemented and assessed for the requirements of ASM. It was found that piggery wastewater was categorized with biodegradable organic matters with high content of slowly biodegradable COD, while anaerobic digester supernatant was mostly composed of non-biodegradable organic matters in high content of inert COD. When the COD fraction ratio discovered in this study is applied to an ASM for an accurate monitoring of a treating process of piggery wastewater and anaerobic digester supernatant, the findings could make a useful database in designing a biological treatment process and operating it in MWTP.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-015-4868-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Activated sludge ; Animal wastes ; Biochemical oxygen demand ; Biodegradation ; Biogeosciences ; Biological treatment ; Chemical oxygen demand ; Earth and Environmental Science ; Earth Sciences ; Environmental Science and Engineering ; Geochemistry ; Geology ; Hydrology/Water Resources ; Municipal wastewater ; Original Article ; Retention time ; Sludge ; Terrestrial Pollution ; Wastewater treatment plants ; Water treatment</subject><ispartof>Environmental earth sciences, 2016, Vol.75 (1), p.1, Article 47</ispartof><rights>Springer-Verlag Berlin Heidelberg 2015</rights><rights>Springer-Verlag Berlin Heidelberg 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-1a62eca0661d61ac60801f652326bb9a18a74d4a02f68ff5ea152d13c407355f3</citedby><cites>FETCH-LOGICAL-c316t-1a62eca0661d61ac60801f652326bb9a18a74d4a02f68ff5ea152d13c407355f3</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/s12665-015-4868-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-015-4868-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Im, Jiyeol</creatorcontrib><creatorcontrib>Kim, Daeik</creatorcontrib><creatorcontrib>Gil, Kyungik</creatorcontrib><title>COD fraction analysis of anaerobic digester supernatant and piggery wastewater, using respirometric method</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>When operating an activated sludge model (ASM), organic matters among input data criteria including pH, temperature, sludge retention time, and many more, can be categorized to its own characteristics. 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When the COD fraction ratio discovered in this study is applied to an ASM for an accurate monitoring of a treating process of piggery wastewater and anaerobic digester supernatant, the findings could make a useful database in designing a biological treatment process and operating it in MWTP.</description><subject>Activated sludge</subject><subject>Animal wastes</subject><subject>Biochemical oxygen demand</subject><subject>Biodegradation</subject><subject>Biogeosciences</subject><subject>Biological treatment</subject><subject>Chemical oxygen demand</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental Science and Engineering</subject><subject>Geochemistry</subject><subject>Geology</subject><subject>Hydrology/Water Resources</subject><subject>Municipal wastewater</subject><subject>Original Article</subject><subject>Retention time</subject><subject>Sludge</subject><subject>Terrestrial Pollution</subject><subject>Wastewater treatment plants</subject><subject>Water treatment</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</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>eNp1UMtqwzAQFKWFhjQf0Jug17rVSpYsH0v6hEAu7VlsbMlVSGxXsgn5-yq4lF66lxnYmWF3CLkGdgeMFfcRuFIyYyCzXCudFWdkBlqpTPGyPP_lml2SRYxblkaAKJmake1y_UhdwGrwXUuxxd0x-kg7d-I2dBtf0do3Ng420Dj2NrQ4YDukdU173zQ2HOkB0_qASXJLx-jbhgYbex-6vR1CCkjw2dVX5MLhLtrFD87Jx_PT-_I1W61f3pYPq6wSoIYMUHFbIVMKagVYKaYZOCW54GqzKRE0FnmdI-NOaeekRZC8BlHlrBBSOjEnN1NuH7qvMV1utt2Yzt5FA4VkouRFrpMKJlUVuhiDdaYPfo_haICZU6tmatWkVs2pVVMkD588MWnb9Pqf5H9N37Bsey4</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>Im, Jiyeol</creator><creator>Kim, Daeik</creator><creator>Gil, Kyungik</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</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>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</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>2016</creationdate><title>COD fraction analysis of anaerobic digester supernatant and piggery wastewater, using respirometric method</title><author>Im, Jiyeol ; Kim, Daeik ; Gil, Kyungik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-1a62eca0661d61ac60801f652326bb9a18a74d4a02f68ff5ea152d13c407355f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Activated sludge</topic><topic>Animal wastes</topic><topic>Biochemical oxygen demand</topic><topic>Biodegradation</topic><topic>Biogeosciences</topic><topic>Biological treatment</topic><topic>Chemical oxygen demand</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental Science and Engineering</topic><topic>Geochemistry</topic><topic>Geology</topic><topic>Hydrology/Water Resources</topic><topic>Municipal wastewater</topic><topic>Original Article</topic><topic>Retention time</topic><topic>Sludge</topic><topic>Terrestrial Pollution</topic><topic>Wastewater treatment plants</topic><topic>Water treatment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Im, Jiyeol</creatorcontrib><creatorcontrib>Kim, Daeik</creatorcontrib><creatorcontrib>Gil, Kyungik</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</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>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</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>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Im, Jiyeol</au><au>Kim, Daeik</au><au>Gil, Kyungik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COD fraction analysis of anaerobic digester supernatant and piggery wastewater, using respirometric method</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2016</date><risdate>2016</risdate><volume>75</volume><issue>1</issue><spage>1</spage><pages>1-</pages><artnum>47</artnum><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>When operating an activated sludge model (ASM), organic matters among input data criteria including pH, temperature, sludge retention time, and many more, can be categorized to its own characteristics. Such category includes chemical oxygen demand (COD) and biochemical oxygen demand. However, these are not likely to represent benchmark criteria meeting the conditions required by ASM. In this study, experimenting piggery wastewater and an anaerobic digester supernatant from municipal wastewater treatment plants (MWTPs) with the use of the microbial respirometric method, the true categories for organic matters were implemented and assessed for the requirements of ASM. It was found that piggery wastewater was categorized with biodegradable organic matters with high content of slowly biodegradable COD, while anaerobic digester supernatant was mostly composed of non-biodegradable organic matters in high content of inert COD. When the COD fraction ratio discovered in this study is applied to an ASM for an accurate monitoring of a treating process of piggery wastewater and anaerobic digester supernatant, the findings could make a useful database in designing a biological treatment process and operating it in MWTP.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-015-4868-7</doi></addata></record> |
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| subjects | Activated sludge Animal wastes Biochemical oxygen demand Biodegradation Biogeosciences Biological treatment Chemical oxygen demand Earth and Environmental Science Earth Sciences Environmental Science and Engineering Geochemistry Geology Hydrology/Water Resources Municipal wastewater Original Article Retention time Sludge Terrestrial Pollution Wastewater treatment plants Water treatment |
| title | COD fraction analysis of anaerobic digester supernatant and piggery wastewater, using respirometric method |
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