Operation mode of a step-feed anoxic/oxic process with distribution of carbon source from anaerobic zone on nutrient removal and microbial ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yijun Shen, Dianhai Yang, Yang Wu, Hao Zhang, Xinxi Zhang

ABSTRACT

This study investigated the operation mode of a step-feed anoxic/oxic (A/O) process with distribution of the carbon source from the anaerobic zone in terms of the treatment effects on sewage with low carbon and high nitrogen and phosphorus. After seven phases of operation, an optimal flow distribution ratio of 75%:25% was obtained from the anaerobic zone, and the concentrations of chemical oxygen demand, ammonia nitrogen, total nitrogen, and total phosphorous in the effluent were 20.8, 0.64, 14.2, and 0.89 mg/L, respectively. The presence of an internal reflux system in the deaeration zone improved the treatment. 16S rRNA high-throughput sequencing revealed that the microbial communities in aerobic zone I(O1) of the first-step A/O sludge were different from those in aerobic zone I (O2) of the second-step A/O sludge, whereas microbial communities of the seed sludge were similar to those in O2 of the second-step A/O sludge. The richness and diversity of microbial communities in O1 of the first-step A/O sludge samples were higher than those in O2 of the second-step A/O and seed sludge. At the optimal flow distribution ratio, the microbial abundance and treatment removal efficiency were the highest. More... »

PAGES

1153

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-37841-8

DOI

http://dx.doi.org/10.1038/s41598-018-37841-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111908899

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30718641


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/2008/0605", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Microbiology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Anhui University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.440650.3", 
          "name": [
            "State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, P.R. China", 
            "Engineering Research Center of Biomembrane Water Purification and Utilization Technology, Ministry of Education, School of Civil Engineering and Architecture, Anhui University of Technology, 243032, Ma\u2019anshan, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shen", 
        "givenName": "Yijun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tongji University", 
          "id": "https://www.grid.ac/institutes/grid.24516.34", 
          "name": [
            "State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Dianhai", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anhui University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.440650.3", 
          "name": [
            "Engineering Research Center of Biomembrane Water Purification and Utilization Technology, Ministry of Education, School of Civil Engineering and Architecture, Anhui University of Technology, 243032, Ma\u2019anshan, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Yang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tongji University", 
          "id": "https://www.grid.ac/institutes/grid.24516.34", 
          "name": [
            "State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Hao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anhui University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.440650.3", 
          "name": [
            "Engineering Research Center of Biomembrane Water Purification and Utilization Technology, Ministry of Education, School of Civil Engineering and Architecture, Anhui University of Technology, 243032, Ma\u2019anshan, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Xinxi", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00248-016-0897-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003445328", 
          "https://doi.org/10.1007/s00248-016-0897-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00248-016-0897-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003445328", 
          "https://doi.org/10.1007/s00248-016-0897-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1747-0765.2007.00195.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005978981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2013.09.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007065557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2005.01.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007201079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2009.02.059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008161536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2012.02.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008760231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2007.02.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009443382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1004-9541(11)60244-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010963492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(90)90598-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015197553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017719492", 
          "https://doi.org/10.1038/nrg1709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017719492", 
          "https://doi.org/10.1038/nrg1709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.03464-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019470465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es2010545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020466655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es2010545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020466655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2011.188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022891428", 
          "https://doi.org/10.1038/ismej.2011.188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00284-013-0317-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023912306", 
          "https://doi.org/10.1007/s00284-013-0317-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00284-013-0311-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024840767", 
          "https://doi.org/10.1007/s00284-013-0311-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00267-009-9309-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026669906", 
          "https://doi.org/10.1007/s00267-009-9309-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00267-009-9309-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026669906", 
          "https://doi.org/10.1007/s00267-009-9309-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00267-009-9309-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026669906", 
          "https://doi.org/10.1007/s00267-009-9309-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2009.03.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027903276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiosc.2014.10.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028376426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bej.2008.10.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030308189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procbio.2009.04.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030570572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.71.11.7493-7503.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030702754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0043-1354(96)00370-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032496667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2014.06.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033412326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2014.03.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038049800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2012.06.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041820671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1751-7915.12435", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044306094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2015.03.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045302894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jctb.1573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045492438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0160-4120(03)00177-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046912175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0160-4120(03)00177-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046912175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10532-014-9698-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047455531", 
          "https://doi.org/10.1007/s10532-014-9698-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1263/jbb.99.403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050480398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1133258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051091029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2012.09.078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052665674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2010.06.151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053455699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/ees.2009.0100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059254342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/ijs.0.02727-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060383855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2009.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069143082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2005.0739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077185884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2017.02.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083871319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2175/193864700784544587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102000771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2175/193864702784900093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102005040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2175/106143012x13407275694798", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102024879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2175/106143012x13407275694798", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102024879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.1998.0714", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104109454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.1997.0037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104132965"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "This study investigated the operation mode of a step-feed anoxic/oxic (A/O) process with distribution of the carbon source from the anaerobic zone in terms of the treatment effects on sewage with low carbon and high nitrogen and phosphorus. After seven phases of operation, an optimal flow distribution ratio of 75%:25% was obtained from the anaerobic zone, and the concentrations of chemical oxygen demand, ammonia nitrogen, total nitrogen, and total phosphorous in the effluent were 20.8, 0.64, 14.2, and 0.89\u2009mg/L, respectively. The presence of an internal reflux system in the deaeration zone improved the treatment. 16S rRNA high-throughput sequencing revealed that the microbial communities in aerobic zone I(O1) of the first-step A/O sludge were different from those in aerobic zone I (O2) of the second-step A/O sludge, whereas microbial communities of the seed sludge were similar to those in O2 of the second-step A/O sludge. The richness and diversity of microbial communities in O1 of the first-step A/O sludge samples were higher than those in O2 of the second-step A/O and seed sludge. At the optimal flow distribution ratio, the microbial abundance and treatment removal efficiency were the highest.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-37841-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Operation mode of a step-feed anoxic/oxic process with distribution of carbon source from anaerobic zone on nutrient removal and microbial properties", 
    "pagination": "1153", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "33167934422861a06a6ef1b2bbbb908fe5c7ad5e683d9e4c9f631075e9b25d50"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30718641"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-37841-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111908899"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-37841-8", 
      "https://app.dimensions.ai/details/publication/pub.1111908899"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:01", 
    "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/v90/0000000330_0000000330/records_116375_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-37841-8"
  }
]
 

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.10.1038/s41598-018-37841-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37841-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37841-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37841-8'


 

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

234 TRIPLES      21 PREDICATES      73 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-37841-8 schema:about anzsrc-for:06
2 anzsrc-for:0605
3 schema:author N73ba3ff8e76e492d861986e14619da85
4 schema:citation sg:pub.10.1007/s00248-016-0897-3
5 sg:pub.10.1007/s00267-009-9309-5
6 sg:pub.10.1007/s00284-013-0311-z
7 sg:pub.10.1007/s00284-013-0317-6
8 sg:pub.10.1007/s10532-014-9698-x
9 sg:pub.10.1038/ismej.2011.188
10 sg:pub.10.1038/nrg1709
11 https://doi.org/10.1002/jctb.1573
12 https://doi.org/10.1016/0003-2697(90)90598-4
13 https://doi.org/10.1016/j.bej.2008.10.017
14 https://doi.org/10.1016/j.biortech.2005.01.040
15 https://doi.org/10.1016/j.biortech.2009.02.059
16 https://doi.org/10.1016/j.biortech.2009.03.009
17 https://doi.org/10.1016/j.biortech.2010.06.151
18 https://doi.org/10.1016/j.biortech.2012.06.030
19 https://doi.org/10.1016/j.biortech.2012.09.078
20 https://doi.org/10.1016/j.biortech.2013.09.050
21 https://doi.org/10.1016/j.jbiosc.2014.10.027
22 https://doi.org/10.1016/j.memsci.2014.03.034
23 https://doi.org/10.1016/j.procbio.2009.04.022
24 https://doi.org/10.1016/j.watres.2007.02.030
25 https://doi.org/10.1016/j.watres.2012.02.039
26 https://doi.org/10.1016/j.watres.2014.06.042
27 https://doi.org/10.1016/j.watres.2015.03.033
28 https://doi.org/10.1016/j.watres.2017.02.051
29 https://doi.org/10.1016/s0043-1354(96)00370-3
30 https://doi.org/10.1016/s0160-4120(03)00177-6
31 https://doi.org/10.1016/s1004-9541(11)60244-9
32 https://doi.org/10.1021/es2010545
33 https://doi.org/10.1089/ees.2009.0100
34 https://doi.org/10.1099/ijs.0.02727-0
35 https://doi.org/10.1111/1751-7915.12435
36 https://doi.org/10.1111/j.1747-0765.2007.00195.x
37 https://doi.org/10.1126/science.1133258
38 https://doi.org/10.1128/aem.03464-12
39 https://doi.org/10.1128/aem.71.11.7493-7503.2005
40 https://doi.org/10.1263/jbb.99.403
41 https://doi.org/10.2166/wst.1997.0037
42 https://doi.org/10.2166/wst.1998.0714
43 https://doi.org/10.2166/wst.2005.0739
44 https://doi.org/10.2166/wst.2009.031
45 https://doi.org/10.2175/106143012x13407275694798
46 https://doi.org/10.2175/193864700784544587
47 https://doi.org/10.2175/193864702784900093
48 schema:datePublished 2019-12
49 schema:datePublishedReg 2019-12-01
50 schema:description This study investigated the operation mode of a step-feed anoxic/oxic (A/O) process with distribution of the carbon source from the anaerobic zone in terms of the treatment effects on sewage with low carbon and high nitrogen and phosphorus. After seven phases of operation, an optimal flow distribution ratio of 75%:25% was obtained from the anaerobic zone, and the concentrations of chemical oxygen demand, ammonia nitrogen, total nitrogen, and total phosphorous in the effluent were 20.8, 0.64, 14.2, and 0.89 mg/L, respectively. The presence of an internal reflux system in the deaeration zone improved the treatment. 16S rRNA high-throughput sequencing revealed that the microbial communities in aerobic zone I(O1) of the first-step A/O sludge were different from those in aerobic zone I (O2) of the second-step A/O sludge, whereas microbial communities of the seed sludge were similar to those in O2 of the second-step A/O sludge. The richness and diversity of microbial communities in O1 of the first-step A/O sludge samples were higher than those in O2 of the second-step A/O and seed sludge. At the optimal flow distribution ratio, the microbial abundance and treatment removal efficiency were the highest.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N6a766269038d4e5e987ff636974e57e2
55 N89516b039b984cf58f3cbd54c8600b67
56 sg:journal.1045337
57 schema:name Operation mode of a step-feed anoxic/oxic process with distribution of carbon source from anaerobic zone on nutrient removal and microbial properties
58 schema:pagination 1153
59 schema:productId N269e32868ba04b9ba493322a14670da8
60 N76ac1c0753ca401caa95206343957770
61 N7d2337c3bf9e4e799345b2ddcf5d543e
62 Naf23a8590aef4a95bb024d5d9c8d8305
63 Ncfc87b0bb2a14028a39ef7f4a3c458d8
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111908899
65 https://doi.org/10.1038/s41598-018-37841-8
66 schema:sdDatePublished 2019-04-11T09:01
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N2663562de76c4e32b64f1a796dc4c795
69 schema:url https://www.nature.com/articles/s41598-018-37841-8
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N2663562de76c4e32b64f1a796dc4c795 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 N269e32868ba04b9ba493322a14670da8 schema:name readcube_id
76 schema:value 33167934422861a06a6ef1b2bbbb908fe5c7ad5e683d9e4c9f631075e9b25d50
77 rdf:type schema:PropertyValue
78 N6a766269038d4e5e987ff636974e57e2 schema:issueNumber 1
79 rdf:type schema:PublicationIssue
80 N6f3ab68441cb4a749c56803741b223b1 schema:affiliation https://www.grid.ac/institutes/grid.440650.3
81 schema:familyName Zhang
82 schema:givenName Xinxi
83 rdf:type schema:Person
84 N73ba3ff8e76e492d861986e14619da85 rdf:first Nbb77e2f2cbba4ddf9d64681f1cd76470
85 rdf:rest N9c6167d2bb65426babaf35f448e06fec
86 N76ac1c0753ca401caa95206343957770 schema:name doi
87 schema:value 10.1038/s41598-018-37841-8
88 rdf:type schema:PropertyValue
89 N7d2337c3bf9e4e799345b2ddcf5d543e schema:name nlm_unique_id
90 schema:value 101563288
91 rdf:type schema:PropertyValue
92 N89516b039b984cf58f3cbd54c8600b67 schema:volumeNumber 9
93 rdf:type schema:PublicationVolume
94 N9c6167d2bb65426babaf35f448e06fec rdf:first Nbaae9ebeab344377baa39f2d6cc4d59d
95 rdf:rest Nf8c2c59432414c788138dc5e3bb72674
96 Nade5b86354884ddf96003b1b52ddf967 schema:affiliation https://www.grid.ac/institutes/grid.440650.3
97 schema:familyName Wu
98 schema:givenName Yang
99 rdf:type schema:Person
100 Naf23a8590aef4a95bb024d5d9c8d8305 schema:name dimensions_id
101 schema:value pub.1111908899
102 rdf:type schema:PropertyValue
103 Nb1eeed88c7ef45ce8d3e1051ae117115 rdf:first Nc564b24ace254ad191623880d4099439
104 rdf:rest Nb952745b7b56416e9c7b74dce399a55e
105 Nb952745b7b56416e9c7b74dce399a55e rdf:first N6f3ab68441cb4a749c56803741b223b1
106 rdf:rest rdf:nil
107 Nbaae9ebeab344377baa39f2d6cc4d59d schema:affiliation https://www.grid.ac/institutes/grid.24516.34
108 schema:familyName Yang
109 schema:givenName Dianhai
110 rdf:type schema:Person
111 Nbb77e2f2cbba4ddf9d64681f1cd76470 schema:affiliation https://www.grid.ac/institutes/grid.440650.3
112 schema:familyName Shen
113 schema:givenName Yijun
114 rdf:type schema:Person
115 Nc564b24ace254ad191623880d4099439 schema:affiliation https://www.grid.ac/institutes/grid.24516.34
116 schema:familyName Zhang
117 schema:givenName Hao
118 rdf:type schema:Person
119 Ncfc87b0bb2a14028a39ef7f4a3c458d8 schema:name pubmed_id
120 schema:value 30718641
121 rdf:type schema:PropertyValue
122 Nf8c2c59432414c788138dc5e3bb72674 rdf:first Nade5b86354884ddf96003b1b52ddf967
123 rdf:rest Nb1eeed88c7ef45ce8d3e1051ae117115
124 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
125 schema:name Biological Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
128 schema:name Microbiology
129 rdf:type schema:DefinedTerm
130 sg:journal.1045337 schema:issn 2045-2322
131 schema:name Scientific Reports
132 rdf:type schema:Periodical
133 sg:pub.10.1007/s00248-016-0897-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003445328
134 https://doi.org/10.1007/s00248-016-0897-3
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s00267-009-9309-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026669906
137 https://doi.org/10.1007/s00267-009-9309-5
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s00284-013-0311-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1024840767
140 https://doi.org/10.1007/s00284-013-0311-z
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00284-013-0317-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023912306
143 https://doi.org/10.1007/s00284-013-0317-6
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/s10532-014-9698-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047455531
146 https://doi.org/10.1007/s10532-014-9698-x
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/ismej.2011.188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022891428
149 https://doi.org/10.1038/ismej.2011.188
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/nrg1709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017719492
152 https://doi.org/10.1038/nrg1709
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1002/jctb.1573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045492438
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/0003-2697(90)90598-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015197553
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.bej.2008.10.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030308189
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.biortech.2005.01.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007201079
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.biortech.2009.02.059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008161536
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.biortech.2009.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027903276
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.biortech.2010.06.151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053455699
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.biortech.2012.06.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041820671
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.biortech.2012.09.078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052665674
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.biortech.2013.09.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007065557
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.jbiosc.2014.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028376426
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.memsci.2014.03.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038049800
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.procbio.2009.04.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030570572
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.watres.2007.02.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009443382
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.watres.2012.02.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008760231
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.watres.2014.06.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033412326
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.watres.2015.03.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045302894
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.watres.2017.02.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083871319
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/s0043-1354(96)00370-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032496667
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/s0160-4120(03)00177-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046912175
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/s1004-9541(11)60244-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010963492
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1021/es2010545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020466655
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1089/ees.2009.0100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059254342
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1099/ijs.0.02727-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060383855
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1111/1751-7915.12435 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044306094
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1111/j.1747-0765.2007.00195.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005978981
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1126/science.1133258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051091029
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1128/aem.03464-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019470465
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1128/aem.71.11.7493-7503.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030702754
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1263/jbb.99.403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050480398
213 rdf:type schema:CreativeWork
214 https://doi.org/10.2166/wst.1997.0037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104132965
215 rdf:type schema:CreativeWork
216 https://doi.org/10.2166/wst.1998.0714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104109454
217 rdf:type schema:CreativeWork
218 https://doi.org/10.2166/wst.2005.0739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077185884
219 rdf:type schema:CreativeWork
220 https://doi.org/10.2166/wst.2009.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069143082
221 rdf:type schema:CreativeWork
222 https://doi.org/10.2175/106143012x13407275694798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102024879
223 rdf:type schema:CreativeWork
224 https://doi.org/10.2175/193864700784544587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102000771
225 rdf:type schema:CreativeWork
226 https://doi.org/10.2175/193864702784900093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102005040
227 rdf:type schema:CreativeWork
228 https://www.grid.ac/institutes/grid.24516.34 schema:alternateName Tongji University
229 schema:name State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, P.R. China
230 rdf:type schema:Organization
231 https://www.grid.ac/institutes/grid.440650.3 schema:alternateName Anhui University of Technology
232 schema:name Engineering Research Center of Biomembrane Water Purification and Utilization Technology, Ministry of Education, School of Civil Engineering and Architecture, Anhui University of Technology, 243032, Ma’anshan, P.R. China
233 State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, P.R. China
234 rdf:type schema:Organization
 




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


...