Occurrence, distribution, and risk assessment of antibiotics in the Songhua River in China View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-08

AUTHORS

Weihua Wang, He Wang, Wanfeng Zhang, Hong Liang, Dawen Gao

ABSTRACT

The occurrence, distribution, and risk assessment of antibiotics in freshwater systems are receiving global attention, because of their impact on the environment and human health. However, few studies have focused on this topic in Northeast China and its Songhua River, the third-largest river in China. This study investigated the occurrence and distribution of 12 antibiotics, including three cephalosporins (cefazolin, cefmetazole, cefotaxime), three macrolides (azithromycin, clarithromycin, roxithromycin), three fluoroquinolones (ofloxacin, norfloxacin, flumequine), and three sulfonamides (sulfadiazine, sulfapyridine, sulfamethoxazole) in the mainstream and tributaries of the Songhua River. A total of 152 surface water samples were collected in January, May, July, and October 2016. These samples were analyzed using solid-phase extraction (SPE) and ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). The results indicated the wide use of all 12 antibiotics in the mainstream of the Songhua River. Sulfamethoxazole and cefazolin were the dominant antibiotics, with maximum concentrations of 73.1 and 65.4 ng L-1, respectively. Other antibiotics were present at mean concentrations below 15 ng L-1, except cefmetazole, present at a mean concentration of 35.6 ng L-1. The spatial distribution of antibiotics showed that unbalanced regional development may lead to the distribution pattern of the antibiotics in the tributaries and the mainstream. Thus study also assessed the seasonal variation of antibiotics in urban surface water; cephalosporin, sulfonamide, fluoroquinolone, and macrolide concentrations were significantly higher during the icebound season than during non-icebound season. This may be due to the low temperature and water flow of the river in winter. Risk assessment showed that azithromycin, clarithromycin, roxithromycin, flumequine, and sulfamethoxazole posed a low or median risk to the aquatic organisms in the mainstream. The potential risks created by antibiotics to the aquatic environment should not be neglected in the Songhua River. The potential risks created by antibiotics to the aquatic environment should not be neglected in the Songhua River. More... »

PAGES

19282-19292

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11356-017-9471-x

DOI

http://dx.doi.org/10.1007/s11356-017-9471-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1090319451

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28667586


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/2008/0399", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anti-Bacterial Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "China", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Monitoring", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rivers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seasons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Water Pollutants, Chemical", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Northeast Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.412246.7", 
          "name": [
            "Center for Ecological Research, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, China", 
            "Harbin Environmental Monitoring Center, 68 Jianguo Street, 150076, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Weihua", 
        "id": "sg:person.012077053053.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012077053053.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northeast Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.412246.7", 
          "name": [
            "Center for Ecological Research, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "He", 
        "id": "sg:person.012674433453.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012674433453.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Harbin Environmental Monitoring Center, 68 Jianguo Street, 150076, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Wanfeng", 
        "id": "sg:person.013472014053.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013472014053.68"
        ], 
        "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, 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": "Northeast Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.412246.7", 
          "name": [
            "Center for Ecological Research, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, China", 
            "School of Forestry, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, 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"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0378-4274(02)00063-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000024298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2016.06.113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000505294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11356-016-6054-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002111667", 
          "https://doi.org/10.1007/s11356-016-6054-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2008.11.086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002551206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/etc.2945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003199813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep34928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003417200", 
          "https://doi.org/10.1038/srep34928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2008.03.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003457776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02987711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006966291", 
          "https://doi.org/10.1007/bf02987711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02987711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006966291", 
          "https://doi.org/10.1007/bf02987711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es048143z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008612137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es048143z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008612137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2012.05.079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010097194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2007.01.238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010584445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1748-9326/9/7/074018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011101337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2016.01.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015053526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11356-016-6946-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017449884", 
          "https://doi.org/10.1007/s11356-016-6946-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11356-016-6946-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017449884", 
          "https://doi.org/10.1007/s11356-016-6946-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2008.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022082991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2012.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022706910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2ay25179e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026810374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2em10916f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026838125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es102473z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027197988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es102473z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027197988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2013.03.044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029383216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2011.03.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030622156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envint.2013.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032191294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.marpolbul.2014.06.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033256220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envres.2015.02.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034282534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2014.09.089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036172970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2014.04.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036310262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2012.12.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037814510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2010.03.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043127469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2013.09.119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043198856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2006.03.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043454981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10661-012-2589-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044046904", 
          "https://doi.org/10.1007/s10661-012-2589-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2013.08.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044708601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5em00216h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044762071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11356-016-6493-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044762366", 
          "https://doi.org/10.1007/s11356-016-6493-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2175/106143016x14609975746604", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045330865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2007.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046557986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10807039.2012.688702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051403189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2013.04.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051613899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11356-016-6338-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051945039", 
          "https://doi.org/10.1007/s11356-016-6338-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2013.08.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052831076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)01266-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053273033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envpol.2011.04.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053338087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.est.5b00729", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055087511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es060737+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055499304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es060737+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055499304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es0709021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055500625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es0709021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055500625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es204621q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055504200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es301929e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055504852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.336.6083.795", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062609432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2017.02.095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083865269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11356-017-8664-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084031117", 
          "https://doi.org/10.1007/s11356-017-8664-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11356-017-8664-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084031117", 
          "https://doi.org/10.1007/s11356-017-8664-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2017.03.281", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084534946"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-08", 
    "datePublishedReg": "2017-08-01", 
    "description": "The occurrence, distribution, and risk assessment of antibiotics in freshwater systems are receiving global attention, because of their impact on the environment and human health. However, few studies have focused on this topic in Northeast China and its Songhua River, the third-largest river in China. This study investigated the occurrence and distribution of 12 antibiotics, including three cephalosporins (cefazolin, cefmetazole, cefotaxime), three macrolides (azithromycin, clarithromycin, roxithromycin), three fluoroquinolones (ofloxacin, norfloxacin, flumequine), and three sulfonamides (sulfadiazine, sulfapyridine, sulfamethoxazole) in the mainstream and tributaries of the Songhua River. A total of 152 surface water samples were collected in January, May, July, and October 2016. These samples were analyzed using solid-phase extraction (SPE) and ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). The results indicated the wide use of all 12 antibiotics in the mainstream of the Songhua River. Sulfamethoxazole and cefazolin were the dominant antibiotics, with maximum concentrations of 73.1 and 65.4\u00a0ng\u00a0L-1, respectively. Other antibiotics were present at mean concentrations below 15\u00a0ng\u00a0L-1, except cefmetazole, present at a mean concentration of 35.6\u00a0ng\u00a0L-1. The spatial distribution of antibiotics showed that unbalanced regional development may lead to the distribution pattern of the antibiotics in the tributaries and the mainstream. Thus study also assessed the seasonal variation of antibiotics in urban surface water; cephalosporin, sulfonamide, fluoroquinolone, and macrolide concentrations were significantly higher during the icebound season than during non-icebound season. This may be due to the low temperature and water flow of the river in winter. Risk assessment showed that azithromycin, clarithromycin, roxithromycin, flumequine, and sulfamethoxazole posed a low or median risk to the aquatic organisms in the mainstream. The potential risks created by antibiotics to the aquatic environment should not be neglected in the Songhua River. The potential risks created by antibiotics to the aquatic environment should not be neglected in the Songhua River.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11356-017-9471-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1113424", 
        "issn": [
          "0944-1344", 
          "1614-7499"
        ], 
        "name": "Environmental Science and Pollution Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "23", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "Occurrence, distribution, and risk assessment of antibiotics in the Songhua River in China", 
    "pagination": "19282-19292", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b9cd9f073aafabd5f172b927e6b8d2a33c2949312a1ccae22eb3cc2961afa53e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28667586"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9441769"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11356-017-9471-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1090319451"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11356-017-9471-x", 
      "https://app.dimensions.ai/details/publication/pub.1090319451"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:34", 
    "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/v90/0000000349_0000000349/records_113664_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11356-017-9471-x"
  }
]
 

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/s11356-017-9471-x'

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/s11356-017-9471-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11356-017-9471-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11356-017-9471-x'


 

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

290 TRIPLES      21 PREDICATES      87 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11356-017-9471-x schema:about N22e2247b375f46edb2eff50c2854888f
2 N27d9e7b4a89a49fc8f606154ccd2bc2f
3 N43c9c38b55a74e709824b6bbe0fc3157
4 N50f31e8c1f784ed3a81cfecf40a9ee1c
5 Nc0edd725eaf443979425e811d4681a04
6 Nca38de572a9a4a6c9485722571b1b85d
7 Nd211bf73996f48f281478691befac6a2
8 anzsrc-for:03
9 anzsrc-for:0399
10 schema:author N1cf4ce4dcd4c4989a71c4a8fbf5a5d32
11 schema:citation sg:pub.10.1007/bf02987711
12 sg:pub.10.1007/s10661-012-2589-x
13 sg:pub.10.1007/s11356-016-6054-1
14 sg:pub.10.1007/s11356-016-6338-5
15 sg:pub.10.1007/s11356-016-6493-8
16 sg:pub.10.1007/s11356-016-6946-0
17 sg:pub.10.1007/s11356-017-8664-7
18 sg:pub.10.1038/srep34928
19 https://doi.org/10.1002/etc.2945
20 https://doi.org/10.1016/j.chemosphere.2006.03.026
21 https://doi.org/10.1016/j.chemosphere.2008.03.009
22 https://doi.org/10.1016/j.chemosphere.2008.11.086
23 https://doi.org/10.1016/j.chemosphere.2008.12.006
24 https://doi.org/10.1016/j.chemosphere.2012.05.079
25 https://doi.org/10.1016/j.chemosphere.2013.03.044
26 https://doi.org/10.1016/j.chemosphere.2013.09.119
27 https://doi.org/10.1016/j.chemosphere.2017.02.095
28 https://doi.org/10.1016/j.chroma.2014.09.089
29 https://doi.org/10.1016/j.desal.2007.01.238
30 https://doi.org/10.1016/j.envint.2013.01.009
31 https://doi.org/10.1016/j.envpol.2011.03.034
32 https://doi.org/10.1016/j.envpol.2011.04.037
33 https://doi.org/10.1016/j.envpol.2012.11.008
34 https://doi.org/10.1016/j.envpol.2012.12.008
35 https://doi.org/10.1016/j.envpol.2013.08.004
36 https://doi.org/10.1016/j.envpol.2016.01.043
37 https://doi.org/10.1016/j.envres.2015.02.016
38 https://doi.org/10.1016/j.jhazmat.2013.08.040
39 https://doi.org/10.1016/j.marpolbul.2014.06.024
40 https://doi.org/10.1016/j.scitotenv.2007.12.009
41 https://doi.org/10.1016/j.scitotenv.2010.03.049
42 https://doi.org/10.1016/j.scitotenv.2013.04.038
43 https://doi.org/10.1016/j.scitotenv.2014.04.015
44 https://doi.org/10.1016/j.scitotenv.2016.06.113
45 https://doi.org/10.1016/j.scitotenv.2017.03.281
46 https://doi.org/10.1016/s0021-9673(01)01266-3
47 https://doi.org/10.1016/s0378-4274(02)00063-2
48 https://doi.org/10.1021/acs.est.5b00729
49 https://doi.org/10.1021/es048143z
50 https://doi.org/10.1021/es060737+
51 https://doi.org/10.1021/es0709021
52 https://doi.org/10.1021/es102473z
53 https://doi.org/10.1021/es204621q
54 https://doi.org/10.1021/es301929e
55 https://doi.org/10.1039/c2ay25179e
56 https://doi.org/10.1039/c2em10916f
57 https://doi.org/10.1039/c5em00216h
58 https://doi.org/10.1080/10807039.2012.688702
59 https://doi.org/10.1088/1748-9326/9/7/074018
60 https://doi.org/10.1126/science.336.6083.795
61 https://doi.org/10.2175/106143016x14609975746604
62 schema:datePublished 2017-08
63 schema:datePublishedReg 2017-08-01
64 schema:description The occurrence, distribution, and risk assessment of antibiotics in freshwater systems are receiving global attention, because of their impact on the environment and human health. However, few studies have focused on this topic in Northeast China and its Songhua River, the third-largest river in China. This study investigated the occurrence and distribution of 12 antibiotics, including three cephalosporins (cefazolin, cefmetazole, cefotaxime), three macrolides (azithromycin, clarithromycin, roxithromycin), three fluoroquinolones (ofloxacin, norfloxacin, flumequine), and three sulfonamides (sulfadiazine, sulfapyridine, sulfamethoxazole) in the mainstream and tributaries of the Songhua River. A total of 152 surface water samples were collected in January, May, July, and October 2016. These samples were analyzed using solid-phase extraction (SPE) and ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). The results indicated the wide use of all 12 antibiotics in the mainstream of the Songhua River. Sulfamethoxazole and cefazolin were the dominant antibiotics, with maximum concentrations of 73.1 and 65.4 ng L<sup>-1</sup>, respectively. Other antibiotics were present at mean concentrations below 15 ng L<sup>-1</sup>, except cefmetazole, present at a mean concentration of 35.6 ng L<sup>-1</sup>. The spatial distribution of antibiotics showed that unbalanced regional development may lead to the distribution pattern of the antibiotics in the tributaries and the mainstream. Thus study also assessed the seasonal variation of antibiotics in urban surface water; cephalosporin, sulfonamide, fluoroquinolone, and macrolide concentrations were significantly higher during the icebound season than during non-icebound season. This may be due to the low temperature and water flow of the river in winter. Risk assessment showed that azithromycin, clarithromycin, roxithromycin, flumequine, and sulfamethoxazole posed a low or median risk to the aquatic organisms in the mainstream. The potential risks created by antibiotics to the aquatic environment should not be neglected in the Songhua River. The potential risks created by antibiotics to the aquatic environment should not be neglected in the Songhua River.
65 schema:genre research_article
66 schema:inLanguage en
67 schema:isAccessibleForFree false
68 schema:isPartOf Nadba82fc24d942fca7820833de088e39
69 Ndfb0b5797c6e4cfb89f89d1c9449948c
70 sg:journal.1113424
71 schema:name Occurrence, distribution, and risk assessment of antibiotics in the Songhua River in China
72 schema:pagination 19282-19292
73 schema:productId N1da59fc60850484c9572dd662aff93d1
74 N4d53d6548abb4d0199ca8854ac9ac74c
75 N71f296b95f7145bebdff279f242f39d2
76 Neb3b55d10fb045b185de01319254ebba
77 Nf0a2519515d5430d9bdf11550893cdea
78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090319451
79 https://doi.org/10.1007/s11356-017-9471-x
80 schema:sdDatePublished 2019-04-11T10:34
81 schema:sdLicense https://scigraph.springernature.com/explorer/license/
82 schema:sdPublisher N06b1aa82df244214995a9d30bfbd9c1e
83 schema:url https://link.springer.com/10.1007%2Fs11356-017-9471-x
84 sgo:license sg:explorer/license/
85 sgo:sdDataset articles
86 rdf:type schema:ScholarlyArticle
87 N06b1aa82df244214995a9d30bfbd9c1e schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 N1cf4ce4dcd4c4989a71c4a8fbf5a5d32 rdf:first sg:person.012077053053.78
90 rdf:rest N48003f5d3e9d45f7b0bfeb462579539c
91 N1da59fc60850484c9572dd662aff93d1 schema:name pubmed_id
92 schema:value 28667586
93 rdf:type schema:PropertyValue
94 N22e2247b375f46edb2eff50c2854888f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Water Pollutants, Chemical
96 rdf:type schema:DefinedTerm
97 N27d9e7b4a89a49fc8f606154ccd2bc2f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Risk Assessment
99 rdf:type schema:DefinedTerm
100 N43c9c38b55a74e709824b6bbe0fc3157 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name China
102 rdf:type schema:DefinedTerm
103 N48003f5d3e9d45f7b0bfeb462579539c rdf:first sg:person.012674433453.59
104 rdf:rest N6b7ff636220c4e88a319a11449ed53c4
105 N4d53d6548abb4d0199ca8854ac9ac74c schema:name readcube_id
106 schema:value b9cd9f073aafabd5f172b927e6b8d2a33c2949312a1ccae22eb3cc2961afa53e
107 rdf:type schema:PropertyValue
108 N50f31e8c1f784ed3a81cfecf40a9ee1c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Seasons
110 rdf:type schema:DefinedTerm
111 N5db432befe9441b5886094b155cc9c3a rdf:first sg:person.01261243676.23
112 rdf:rest Nf3efe7272b85491fac18ce279653b759
113 N6b7ff636220c4e88a319a11449ed53c4 rdf:first sg:person.013472014053.68
114 rdf:rest N5db432befe9441b5886094b155cc9c3a
115 N71f296b95f7145bebdff279f242f39d2 schema:name dimensions_id
116 schema:value pub.1090319451
117 rdf:type schema:PropertyValue
118 Nadba82fc24d942fca7820833de088e39 schema:volumeNumber 24
119 rdf:type schema:PublicationVolume
120 Nc0edd725eaf443979425e811d4681a04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Rivers
122 rdf:type schema:DefinedTerm
123 Nca38de572a9a4a6c9485722571b1b85d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Anti-Bacterial Agents
125 rdf:type schema:DefinedTerm
126 Nd211bf73996f48f281478691befac6a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Environmental Monitoring
128 rdf:type schema:DefinedTerm
129 Ndfb0b5797c6e4cfb89f89d1c9449948c schema:issueNumber 23
130 rdf:type schema:PublicationIssue
131 Neb3b55d10fb045b185de01319254ebba schema:name nlm_unique_id
132 schema:value 9441769
133 rdf:type schema:PropertyValue
134 Nf0a2519515d5430d9bdf11550893cdea schema:name doi
135 schema:value 10.1007/s11356-017-9471-x
136 rdf:type schema:PropertyValue
137 Nf3efe7272b85491fac18ce279653b759 rdf:first sg:person.0624111531.58
138 rdf:rest rdf:nil
139 Nf92cf2a2b1874d6b8ce5ae0e4d41ab53 schema:name Harbin Environmental Monitoring Center, 68 Jianguo Street, 150076, Harbin, China
140 rdf:type schema:Organization
141 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
142 schema:name Chemical Sciences
143 rdf:type schema:DefinedTerm
144 anzsrc-for:0399 schema:inDefinedTermSet anzsrc-for:
145 schema:name Other Chemical Sciences
146 rdf:type schema:DefinedTerm
147 sg:journal.1113424 schema:issn 0944-1344
148 1614-7499
149 schema:name Environmental Science and Pollution Research
150 rdf:type schema:Periodical
151 sg:person.012077053053.78 schema:affiliation https://www.grid.ac/institutes/grid.412246.7
152 schema:familyName Wang
153 schema:givenName Weihua
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012077053053.78
155 rdf:type schema:Person
156 sg:person.01261243676.23 schema:affiliation https://www.grid.ac/institutes/grid.412246.7
157 schema:familyName Liang
158 schema:givenName Hong
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261243676.23
160 rdf:type schema:Person
161 sg:person.012674433453.59 schema:affiliation https://www.grid.ac/institutes/grid.412246.7
162 schema:familyName Wang
163 schema:givenName He
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012674433453.59
165 rdf:type schema:Person
166 sg:person.013472014053.68 schema:affiliation Nf92cf2a2b1874d6b8ce5ae0e4d41ab53
167 schema:familyName Zhang
168 schema:givenName Wanfeng
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013472014053.68
170 rdf:type schema:Person
171 sg:person.0624111531.58 schema:affiliation https://www.grid.ac/institutes/grid.412246.7
172 schema:familyName Gao
173 schema:givenName Dawen
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624111531.58
175 rdf:type schema:Person
176 sg:pub.10.1007/bf02987711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006966291
177 https://doi.org/10.1007/bf02987711
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/s10661-012-2589-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044046904
180 https://doi.org/10.1007/s10661-012-2589-x
181 rdf:type schema:CreativeWork
182 sg:pub.10.1007/s11356-016-6054-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002111667
183 https://doi.org/10.1007/s11356-016-6054-1
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s11356-016-6338-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051945039
186 https://doi.org/10.1007/s11356-016-6338-5
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s11356-016-6493-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044762366
189 https://doi.org/10.1007/s11356-016-6493-8
190 rdf:type schema:CreativeWork
191 sg:pub.10.1007/s11356-016-6946-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017449884
192 https://doi.org/10.1007/s11356-016-6946-0
193 rdf:type schema:CreativeWork
194 sg:pub.10.1007/s11356-017-8664-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084031117
195 https://doi.org/10.1007/s11356-017-8664-7
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/srep34928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003417200
198 https://doi.org/10.1038/srep34928
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1002/etc.2945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003199813
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.chemosphere.2006.03.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043454981
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.chemosphere.2008.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003457776
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.chemosphere.2008.11.086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002551206
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.chemosphere.2008.12.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022082991
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.chemosphere.2012.05.079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010097194
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.chemosphere.2013.03.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029383216
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.chemosphere.2013.09.119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043198856
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.chemosphere.2017.02.095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083865269
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.chroma.2014.09.089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036172970
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.desal.2007.01.238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010584445
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.envint.2013.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032191294
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.envpol.2011.03.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030622156
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.envpol.2011.04.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053338087
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.envpol.2012.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022706910
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.envpol.2012.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037814510
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.envpol.2013.08.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044708601
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.envpol.2016.01.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015053526
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.envres.2015.02.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034282534
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.jhazmat.2013.08.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052831076
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.marpolbul.2014.06.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033256220
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.scitotenv.2007.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046557986
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/j.scitotenv.2010.03.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043127469
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/j.scitotenv.2013.04.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051613899
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/j.scitotenv.2014.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036310262
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/j.scitotenv.2016.06.113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000505294
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/j.scitotenv.2017.03.281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084534946
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/s0021-9673(01)01266-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053273033
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1016/s0378-4274(02)00063-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000024298
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1021/acs.est.5b00729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055087511
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1021/es048143z schema:sameAs https://app.dimensions.ai/details/publication/pub.1008612137
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1021/es060737+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1055499304
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1021/es0709021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055500625
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1021/es102473z schema:sameAs https://app.dimensions.ai/details/publication/pub.1027197988
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1021/es204621q schema:sameAs https://app.dimensions.ai/details/publication/pub.1055504200
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1021/es301929e schema:sameAs https://app.dimensions.ai/details/publication/pub.1055504852
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1039/c2ay25179e schema:sameAs https://app.dimensions.ai/details/publication/pub.1026810374
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1039/c2em10916f schema:sameAs https://app.dimensions.ai/details/publication/pub.1026838125
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1039/c5em00216h schema:sameAs https://app.dimensions.ai/details/publication/pub.1044762071
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1080/10807039.2012.688702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051403189
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1088/1748-9326/9/7/074018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011101337
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1126/science.336.6083.795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062609432
283 rdf:type schema:CreativeWork
284 https://doi.org/10.2175/106143016x14609975746604 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045330865
285 rdf:type schema:CreativeWork
286 https://www.grid.ac/institutes/grid.412246.7 schema:alternateName Northeast Forestry University
287 schema:name Center for Ecological Research, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, China
288 Harbin Environmental Monitoring Center, 68 Jianguo Street, 150076, Harbin, China
289 School of Forestry, Northeast Forestry University, 26 Hexing Road, 150040, Harbin, China
290 rdf:type schema:Organization
 




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


...