Comparison of biological removal via nitrite with real-time control using aerobic granular sludge and flocculent activated sludge View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-03

AUTHORS

Dawen Gao, Xiangjuan Yuan, Hong Liang, Wei-Min Wu

ABSTRACT

The process of nitrification-denitrification via nitrite for nitrogen removal under real-time control mode was tested in two laboratory-scale sequencing batch reactors (SBRs) with flocculent activated sludge (R1) and aerobic granular sludge (R2) to compare operational performance and real-time control strategies. The results showed that the average ammonia nitrogen, total inorganic nitrogen (TIN), and chemical oxygen demand (COD) removal during aeration phase were 97.6%, 57.0%, and 90.1% in R2 compared with 98.6%, 48.7%, and 88.1% in R1. The TIN removed in both SBRs was partially due to the presence of simultaneous nitrification-denitrification via nitrite, especially in R2. The specific nitrification and denitrification rates in R2 were 0.0416 mg NH₄+ -N/gSS-min and 0.1889 mg NO X)⁻-N/gSS-min, which were 1.48 times and 1.35 times that of R1. The higher rates for COD removal, nitrification, and denitrification were achieved in R2 than R1 with similar influent quality. Dissolved oxygen (DO), pH, and oxidization reduction potential, corresponding to nutrient variations, were used as diagnostic parameters to control the organic carbon degradation and nitrification-denitrification via nitrite processes in both SBRs. The online control strategy of granular SBR was similar to that of the SBR with flocculent activated sludge. However, a unique U-type pattern on the DO curve in granular SBR was different from SBR with flocculent activated sludge in aerobic phase. More... »

PAGES

1645-1652

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00253-010-2950-3

DOI

http://dx.doi.org/10.1007/s00253-010-2950-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029547828

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20972676


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0907", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aerobiosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ammonia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biological Oxygen Demand Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bioreactors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Denitrification", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Kinetics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nitrification", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nitrites", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nitrogen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sewage", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Water Purification", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "School of Forestry, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, Heilongjiang Province, People\u2019s Republic of China", 
            "State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 150090, Harbin, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gao", 
        "givenName": "Dawen", 
        "id": "sg:person.0624111531.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624111531.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northeast Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.412246.7", 
          "name": [
            "School of Forestry, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, Heilongjiang Province, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yuan", 
        "givenName": "Xiangjuan", 
        "id": "sg:person.01323775337.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323775337.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northeast Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.412246.7", 
          "name": [
            "School of Forestry, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, Heilongjiang Province, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liang", 
        "givenName": "Hong", 
        "id": "sg:person.01261243676.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261243676.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stanford University", 
          "id": "https://www.grid.ac/institutes/grid.168010.e", 
          "name": [
            "Department of Civil and Environmental Engineering, Stanford University, 94305-4020, Stanford, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Wei-Min", 
        "id": "sg:person.01144754173.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144754173.54"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.procbio.2006.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000127485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1389-1723(03)80195-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003544103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procbio.2006.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003682047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2006.04.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004535017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2008.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006888001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enzmictec.2006.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008099958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biotechadv.2004.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009449221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1472-765x.2002.01099.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009514119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2010.02.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010322752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0043-1354(02)00475-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015427840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0043-1354(02)00475-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015427840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1001-0742(07)60162-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023402332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2008.07.1541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024122086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2005.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025301835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2005.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025301835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2005.08.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025795433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2005.08.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025795433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0273-1223(98)00281-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029718028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1004-9541(08)60155-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032478469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2005.04.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036285051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2006.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036803187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bej.2004.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038191999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2007.11.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038217671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bej.2005.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039907387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bej.2005.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039907387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2008.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041488998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2008.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042100986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biotechadv.2008.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044632765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0043-1354(97)00216-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045741654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.20470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047500287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2005.09.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050119847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2004.05.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051677677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1081/ese-120025842", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058430856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.56.3.387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068864381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2001.0675", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074846396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2001.0037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074861864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2002.0413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075114725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2003.0026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075235016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2003.0585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075329069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2004.0603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076995392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.1998.0350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104117985"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-03", 
    "datePublishedReg": "2011-03-01", 
    "description": "The process of nitrification-denitrification via nitrite for nitrogen removal under real-time control mode was tested in two laboratory-scale sequencing batch reactors (SBRs) with flocculent activated sludge (R1) and aerobic granular sludge (R2) to compare operational performance and real-time control strategies. The results showed that the average ammonia nitrogen, total inorganic nitrogen (TIN), and chemical oxygen demand (COD) removal during aeration phase were 97.6%, 57.0%, and 90.1% in R2 compared with 98.6%, 48.7%, and 88.1% in R1. The TIN removed in both SBRs was partially due to the presence of simultaneous nitrification-denitrification via nitrite, especially in R2. The specific nitrification and denitrification rates in R2 were 0.0416 mg NH\u2084+ -N/gSS-min and 0.1889 mg NO X)\u207b-N/gSS-min, which were 1.48 times and 1.35 times that of R1. The higher rates for COD removal, nitrification, and denitrification were achieved in R2 than R1 with similar influent quality. Dissolved oxygen (DO), pH, and oxidization reduction potential, corresponding to nutrient variations, were used as diagnostic parameters to control the organic carbon degradation and nitrification-denitrification via nitrite processes in both SBRs. The online control strategy of granular SBR was similar to that of the SBR with flocculent activated sludge. However, a unique U-type pattern on the DO curve in granular SBR was different from SBR with flocculent activated sludge in aerobic phase.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00253-010-2950-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1083533", 
        "issn": [
          "0175-7598", 
          "1432-0614"
        ], 
        "name": "Applied Microbiology and Biotechnology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "89"
      }
    ], 
    "name": "Comparison of biological removal via nitrite with real-time control using aerobic granular sludge and flocculent activated sludge", 
    "pagination": "1645-1652", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8cc306f16ce2d1a29bbc8858a436b383e1bd3ac083d468859d7892c599a6362d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20972676"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8406612"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00253-010-2950-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029547828"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00253-010-2950-3", 
      "https://app.dimensions.ai/details/publication/pub.1029547828"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:47", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00253-010-2950-3"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00253-010-2950-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00253-010-2950-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00253-010-2950-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00253-010-2950-3'


 

This table displays all metadata directly associated to this object as RDF triples.

256 TRIPLES      21 PREDICATES      78 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00253-010-2950-3 schema:about N2a0fbc4f15144913b3b8bb6a0b146625
2 N3937eb596bef435fa1e99be69da973f5
3 N40208ff45b694803bfd3cdef87732844
4 N56bc2f2085904f019b4996d0620213e9
5 N8c137c211c33406c930f55bd1a792031
6 Nafceb41d0c6b475daa8e6bd6d5ae555c
7 Nc6b4611366514a8c8581715e82be99a5
8 Ncd0562f5f76d471fbd5161c1129388a6
9 Ne781e003dbe2405f9bd5f475e0bb876b
10 Neaf6dd612092495896bb0cd3fee6e1bd
11 Nf2c29b8cb61548ed8dc7a05274148c62
12 Nf3f14f060d9841a59977e01f410d8bdd
13 anzsrc-for:09
14 anzsrc-for:0907
15 schema:author Na75dd4bd95f94eb0bb820a9363e5da3c
16 schema:citation https://doi.org/10.1002/bit.20470
17 https://doi.org/10.1016/j.bej.2004.09.001
18 https://doi.org/10.1016/j.bej.2005.06.012
19 https://doi.org/10.1016/j.biortech.2008.02.004
20 https://doi.org/10.1016/j.biortech.2008.11.017
21 https://doi.org/10.1016/j.biotechadv.2004.05.001
22 https://doi.org/10.1016/j.biotechadv.2008.05.002
23 https://doi.org/10.1016/j.cej.2005.05.004
24 https://doi.org/10.1016/j.enzmictec.2006.11.001
25 https://doi.org/10.1016/j.jbiotec.2005.08.024
26 https://doi.org/10.1016/j.jbiotec.2008.07.1541
27 https://doi.org/10.1016/j.jhazmat.2010.02.045
28 https://doi.org/10.1016/j.procbio.2006.04.012
29 https://doi.org/10.1016/j.procbio.2006.09.002
30 https://doi.org/10.1016/j.watres.2004.05.006
31 https://doi.org/10.1016/j.watres.2005.04.065
32 https://doi.org/10.1016/j.watres.2005.09.025
33 https://doi.org/10.1016/j.watres.2006.01.011
34 https://doi.org/10.1016/j.watres.2006.04.037
35 https://doi.org/10.1016/j.watres.2007.11.010
36 https://doi.org/10.1016/j.watres.2008.11.009
37 https://doi.org/10.1016/s0043-1354(02)00475-x
38 https://doi.org/10.1016/s0043-1354(97)00216-9
39 https://doi.org/10.1016/s0273-1223(98)00281-9
40 https://doi.org/10.1016/s1001-0742(07)60162-4
41 https://doi.org/10.1016/s1004-9541(08)60155-x
42 https://doi.org/10.1016/s1389-1723(03)80195-0
43 https://doi.org/10.1046/j.1472-765x.2002.01099.x
44 https://doi.org/10.1081/ese-120025842
45 https://doi.org/10.2105/ajph.56.3.387
46 https://doi.org/10.2166/wst.1998.0350
47 https://doi.org/10.2166/wst.2001.0037
48 https://doi.org/10.2166/wst.2001.0675
49 https://doi.org/10.2166/wst.2002.0413
50 https://doi.org/10.2166/wst.2003.0026
51 https://doi.org/10.2166/wst.2003.0585
52 https://doi.org/10.2166/wst.2004.0603
53 schema:datePublished 2011-03
54 schema:datePublishedReg 2011-03-01
55 schema:description The process of nitrification-denitrification via nitrite for nitrogen removal under real-time control mode was tested in two laboratory-scale sequencing batch reactors (SBRs) with flocculent activated sludge (R1) and aerobic granular sludge (R2) to compare operational performance and real-time control strategies. The results showed that the average ammonia nitrogen, total inorganic nitrogen (TIN), and chemical oxygen demand (COD) removal during aeration phase were 97.6%, 57.0%, and 90.1% in R2 compared with 98.6%, 48.7%, and 88.1% in R1. The TIN removed in both SBRs was partially due to the presence of simultaneous nitrification-denitrification via nitrite, especially in R2. The specific nitrification and denitrification rates in R2 were 0.0416 mg NH₄+ -N/gSS-min and 0.1889 mg NO X)⁻-N/gSS-min, which were 1.48 times and 1.35 times that of R1. The higher rates for COD removal, nitrification, and denitrification were achieved in R2 than R1 with similar influent quality. Dissolved oxygen (DO), pH, and oxidization reduction potential, corresponding to nutrient variations, were used as diagnostic parameters to control the organic carbon degradation and nitrification-denitrification via nitrite processes in both SBRs. The online control strategy of granular SBR was similar to that of the SBR with flocculent activated sludge. However, a unique U-type pattern on the DO curve in granular SBR was different from SBR with flocculent activated sludge in aerobic phase.
56 schema:genre research_article
57 schema:inLanguage en
58 schema:isAccessibleForFree false
59 schema:isPartOf N51e046781b6e40099be19c7ffe078316
60 Nc5f2d53b7b48489fab8ffef99d32b43b
61 sg:journal.1083533
62 schema:name Comparison of biological removal via nitrite with real-time control using aerobic granular sludge and flocculent activated sludge
63 schema:pagination 1645-1652
64 schema:productId N2218b485c300414fb9012b8f3c1f10ae
65 N2847917f83694c9fb1a15b6f50089c3d
66 N847f55dcce184232ab3469ea1db791a4
67 N8e2267f2bdc94b4885a3fd24c5e84544
68 Nc729179ac4de4cd6a680061e9469ae53
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029547828
70 https://doi.org/10.1007/s00253-010-2950-3
71 schema:sdDatePublished 2019-04-10T20:47
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher Nd920bc1ffd6d43e09c6633802128c465
74 schema:url http://link.springer.com/10.1007%2Fs00253-010-2950-3
75 sgo:license sg:explorer/license/
76 sgo:sdDataset articles
77 rdf:type schema:ScholarlyArticle
78 N0a81df2c0ab74eeb9bd50d58cdc9cbd0 rdf:first sg:person.01144754173.54
79 rdf:rest rdf:nil
80 N2218b485c300414fb9012b8f3c1f10ae schema:name dimensions_id
81 schema:value pub.1029547828
82 rdf:type schema:PropertyValue
83 N2847917f83694c9fb1a15b6f50089c3d schema:name nlm_unique_id
84 schema:value 8406612
85 rdf:type schema:PropertyValue
86 N2a0fbc4f15144913b3b8bb6a0b146625 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Bioreactors
88 rdf:type schema:DefinedTerm
89 N3937eb596bef435fa1e99be69da973f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Nitrification
91 rdf:type schema:DefinedTerm
92 N40208ff45b694803bfd3cdef87732844 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Ammonia
94 rdf:type schema:DefinedTerm
95 N51e046781b6e40099be19c7ffe078316 schema:volumeNumber 89
96 rdf:type schema:PublicationVolume
97 N56bc2f2085904f019b4996d0620213e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Time Factors
99 rdf:type schema:DefinedTerm
100 N847f55dcce184232ab3469ea1db791a4 schema:name doi
101 schema:value 10.1007/s00253-010-2950-3
102 rdf:type schema:PropertyValue
103 N8a8c1950355844409e233ac5ca314ad1 rdf:first sg:person.01261243676.23
104 rdf:rest N0a81df2c0ab74eeb9bd50d58cdc9cbd0
105 N8c137c211c33406c930f55bd1a792031 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Water Purification
107 rdf:type schema:DefinedTerm
108 N8e2267f2bdc94b4885a3fd24c5e84544 schema:name readcube_id
109 schema:value 8cc306f16ce2d1a29bbc8858a436b383e1bd3ac083d468859d7892c599a6362d
110 rdf:type schema:PropertyValue
111 Na75dd4bd95f94eb0bb820a9363e5da3c rdf:first sg:person.0624111531.58
112 rdf:rest Nded042749fc54ec593744c6ae87d0531
113 Nafceb41d0c6b475daa8e6bd6d5ae555c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Aerobiosis
115 rdf:type schema:DefinedTerm
116 Nc5f2d53b7b48489fab8ffef99d32b43b schema:issueNumber 5
117 rdf:type schema:PublicationIssue
118 Nc6b4611366514a8c8581715e82be99a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Biological Oxygen Demand Analysis
120 rdf:type schema:DefinedTerm
121 Nc729179ac4de4cd6a680061e9469ae53 schema:name pubmed_id
122 schema:value 20972676
123 rdf:type schema:PropertyValue
124 Ncd0562f5f76d471fbd5161c1129388a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Sewage
126 rdf:type schema:DefinedTerm
127 Nd920bc1ffd6d43e09c6633802128c465 schema:name Springer Nature - SN SciGraph project
128 rdf:type schema:Organization
129 Nded042749fc54ec593744c6ae87d0531 rdf:first sg:person.01323775337.21
130 rdf:rest N8a8c1950355844409e233ac5ca314ad1
131 Ne781e003dbe2405f9bd5f475e0bb876b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Nitrogen
133 rdf:type schema:DefinedTerm
134 Neaf6dd612092495896bb0cd3fee6e1bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Nitrites
136 rdf:type schema:DefinedTerm
137 Nf2c29b8cb61548ed8dc7a05274148c62 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Kinetics
139 rdf:type schema:DefinedTerm
140 Nf3f14f060d9841a59977e01f410d8bdd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Denitrification
142 rdf:type schema:DefinedTerm
143 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
144 schema:name Engineering
145 rdf:type schema:DefinedTerm
146 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
147 schema:name Environmental Engineering
148 rdf:type schema:DefinedTerm
149 sg:journal.1083533 schema:issn 0175-7598
150 1432-0614
151 schema:name Applied Microbiology and Biotechnology
152 rdf:type schema:Periodical
153 sg:person.01144754173.54 schema:affiliation https://www.grid.ac/institutes/grid.168010.e
154 schema:familyName Wu
155 schema:givenName Wei-Min
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144754173.54
157 rdf:type schema:Person
158 sg:person.01261243676.23 schema:affiliation https://www.grid.ac/institutes/grid.412246.7
159 schema:familyName Liang
160 schema:givenName Hong
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261243676.23
162 rdf:type schema:Person
163 sg:person.01323775337.21 schema:affiliation https://www.grid.ac/institutes/grid.412246.7
164 schema:familyName Yuan
165 schema:givenName Xiangjuan
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323775337.21
167 rdf:type schema:Person
168 sg:person.0624111531.58 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
169 schema:familyName Gao
170 schema:givenName Dawen
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624111531.58
172 rdf:type schema:Person
173 https://doi.org/10.1002/bit.20470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047500287
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.bej.2004.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038191999
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.bej.2005.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039907387
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.biortech.2008.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006888001
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.biortech.2008.11.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041488998
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.biotechadv.2004.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009449221
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.biotechadv.2008.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044632765
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.cej.2005.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025301835
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.enzmictec.2006.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008099958
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.jbiotec.2005.08.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025795433
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.jbiotec.2008.07.1541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024122086
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.jhazmat.2010.02.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010322752
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.procbio.2006.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003682047
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.procbio.2006.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000127485
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.watres.2004.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051677677
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.watres.2005.04.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036285051
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.watres.2005.09.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050119847
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.watres.2006.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036803187
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.watres.2006.04.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004535017
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.watres.2007.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038217671
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.watres.2008.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042100986
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/s0043-1354(02)00475-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015427840
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/s0043-1354(97)00216-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045741654
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/s0273-1223(98)00281-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029718028
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/s1001-0742(07)60162-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023402332
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/s1004-9541(08)60155-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032478469
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/s1389-1723(03)80195-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003544103
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1046/j.1472-765x.2002.01099.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009514119
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1081/ese-120025842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058430856
230 rdf:type schema:CreativeWork
231 https://doi.org/10.2105/ajph.56.3.387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068864381
232 rdf:type schema:CreativeWork
233 https://doi.org/10.2166/wst.1998.0350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104117985
234 rdf:type schema:CreativeWork
235 https://doi.org/10.2166/wst.2001.0037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074861864
236 rdf:type schema:CreativeWork
237 https://doi.org/10.2166/wst.2001.0675 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074846396
238 rdf:type schema:CreativeWork
239 https://doi.org/10.2166/wst.2002.0413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075114725
240 rdf:type schema:CreativeWork
241 https://doi.org/10.2166/wst.2003.0026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075235016
242 rdf:type schema:CreativeWork
243 https://doi.org/10.2166/wst.2003.0585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075329069
244 rdf:type schema:CreativeWork
245 https://doi.org/10.2166/wst.2004.0603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076995392
246 rdf:type schema:CreativeWork
247 https://www.grid.ac/institutes/grid.168010.e schema:alternateName Stanford University
248 schema:name Department of Civil and Environmental Engineering, Stanford University, 94305-4020, Stanford, CA, USA
249 rdf:type schema:Organization
250 https://www.grid.ac/institutes/grid.19373.3f schema:alternateName Harbin Institute of Technology
251 schema:name School of Forestry, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, Heilongjiang Province, People’s Republic of China
252 State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 150090, Harbin, People’s Republic of China
253 rdf:type schema:Organization
254 https://www.grid.ac/institutes/grid.412246.7 schema:alternateName Northeast Forestry University
255 schema:name School of Forestry, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, Heilongjiang Province, People’s Republic of China
256 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...