Intensive water quality monitoring in a Taiwan bathing beach View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-09

AUTHORS

Bing-Mu Hsu, Yu-Li Huang

ABSTRACT

A total of 357 water samples were collected from a public beach in northern Taiwan during beach season, and the densities of enterococci were analyzed by Enterolert methods. The mean enterococci level was 356 MPN/100 ml and ranged from <10 to 2,005 MPN/100 ml, which was classified as high contamination level according to the WHO water quality guideline (95 percentile >1,000 MPN/100 ml). Most of the deteriorated water quality conditions occurred during rainfall. By excluding data from the rain days, the overall beach water quality would be considered in the moderate contamination level (95 percentile 200-1,000 MPN/100 ml). Among the selected microbiological parameters tested, the densities of total coliforms and enterococci exhibited the highest correlation (r = 0.449, p = 0.009), followed by the concentrations of total coliforms and fecal coliforms (r = 0.403, p = 0.02). Nonetheless, no significant correlation was found between enterococci and fecal coliform levels (r = 0.197, p = 0.271). More... »

PAGES

463-468

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10661-007-0009-4

DOI

http://dx.doi.org/10.1007/s10661-007-0009-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033280471

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17972152


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": "Bathing Beaches", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colony Count, Microbial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Enterococcus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Monitoring", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seasons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seawater", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Taiwan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Water Pollution", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Chung Cheng University", 
          "id": "https://www.grid.ac/institutes/grid.412047.4", 
          "name": [
            "Department of Earth and Environmental Sciences, National Chung Cheng University, 168, University Rd, Min-Hsiung, Chiayi, Taiwan, Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hsu", 
        "givenName": "Bing-Mu", 
        "id": "sg:person.0605015334.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605015334.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Kaohsiung First University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.412071.1", 
          "name": [
            "Department of Safety, Health and Environmental Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan, Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Yu-Li", 
        "id": "sg:person.0671743124.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671743124.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0043-1354(02)00496-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019012713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(94)92267-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025113309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(94)92267-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025113309"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-09", 
    "datePublishedReg": "2008-09-01", 
    "description": "A total of 357 water samples were collected from a public beach in northern Taiwan during beach season, and the densities of enterococci were analyzed by Enterolert methods. The mean enterococci level was 356 MPN/100 ml and ranged from <10 to 2,005 MPN/100 ml, which was classified as high contamination level according to the WHO water quality guideline (95 percentile >1,000 MPN/100 ml). Most of the deteriorated water quality conditions occurred during rainfall. By excluding data from the rain days, the overall beach water quality would be considered in the moderate contamination level (95 percentile 200-1,000 MPN/100 ml). Among the selected microbiological parameters tested, the densities of total coliforms and enterococci exhibited the highest correlation (r = 0.449, p = 0.009), followed by the concentrations of total coliforms and fecal coliforms (r = 0.403, p = 0.02). Nonetheless, no significant correlation was found between enterococci and fecal coliform levels (r = 0.197, p = 0.271).", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10661-007-0009-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095684", 
        "issn": [
          "0167-6369", 
          "1573-2959"
        ], 
        "name": "Environmental Monitoring and Assessment", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "144"
      }
    ], 
    "name": "Intensive water quality monitoring in a Taiwan bathing beach", 
    "pagination": "463-468", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10661-007-0009-4"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9e8b1c1bc6fa2c065848b70a5572130a05b924eb232e67dc6649d5813d6a92b8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033280471"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8508350"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17972152"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10661-007-0009-4", 
      "https://app.dimensions.ai/details/publication/pub.1033280471"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:21", 
    "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/v90/0000000376_0000000376/records_56182_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10661-007-0009-4"
  }
]
 

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/s10661-007-0009-4'

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/s10661-007-0009-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10661-007-0009-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10661-007-0009-4'


 

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

125 TRIPLES      21 PREDICATES      41 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10661-007-0009-4 schema:about N0ba1159800a64e5dad17ae7f21b6ce00
2 N1d89073a135c49e39482fb9f63287899
3 N5a180eeab0f14b24937445062980c013
4 N8a5a3600c61c4dab8f8e5157055dcdb5
5 Na39382f7c7754b2190bb9aa3468b24b2
6 Nbd315dc7c36b453390f00a4c4c2b42c4
7 Ncbefe5dbeefa4195b082c98a22963141
8 Ncc0c2e71d94643249b8fbafbfd5241db
9 Nce6111aa11414e35a936dd409be2d227
10 Nf56d94de466442279e7b579a4b890727
11 anzsrc-for:09
12 anzsrc-for:0907
13 schema:author Nc270c550d6af48588f64b14aa93ee734
14 schema:citation https://doi.org/10.1016/s0043-1354(02)00496-7
15 https://doi.org/10.1016/s0140-6736(94)92267-5
16 schema:datePublished 2008-09
17 schema:datePublishedReg 2008-09-01
18 schema:description A total of 357 water samples were collected from a public beach in northern Taiwan during beach season, and the densities of enterococci were analyzed by Enterolert methods. The mean enterococci level was 356 MPN/100 ml and ranged from <10 to 2,005 MPN/100 ml, which was classified as high contamination level according to the WHO water quality guideline (95 percentile >1,000 MPN/100 ml). Most of the deteriorated water quality conditions occurred during rainfall. By excluding data from the rain days, the overall beach water quality would be considered in the moderate contamination level (95 percentile 200-1,000 MPN/100 ml). Among the selected microbiological parameters tested, the densities of total coliforms and enterococci exhibited the highest correlation (r = 0.449, p = 0.009), followed by the concentrations of total coliforms and fecal coliforms (r = 0.403, p = 0.02). Nonetheless, no significant correlation was found between enterococci and fecal coliform levels (r = 0.197, p = 0.271).
19 schema:genre research_article
20 schema:inLanguage en
21 schema:isAccessibleForFree false
22 schema:isPartOf N22a354013a1849f68fd0d8b7704e8684
23 N696d7081c2ea4996aea9b35534cecc8e
24 sg:journal.1095684
25 schema:name Intensive water quality monitoring in a Taiwan bathing beach
26 schema:pagination 463-468
27 schema:productId N2092df66f50a44dfb7923e6ab1265b9a
28 N41f9c5d50af44be89ba53c5ae7f130c1
29 N5638fe74123c43bfbdc5d7accfc4c238
30 Na93e23f4bb52438daa76b7b1237abf98
31 Ndf6d85f631e04477bfebd286e18ef59a
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033280471
33 https://doi.org/10.1007/s10661-007-0009-4
34 schema:sdDatePublished 2019-04-15T09:21
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher Ne56fe7510709464281cd4b8292a6baa7
37 schema:url http://link.springer.com/10.1007%2Fs10661-007-0009-4
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N0ba1159800a64e5dad17ae7f21b6ce00 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
42 schema:name Bathing Beaches
43 rdf:type schema:DefinedTerm
44 N1d89073a135c49e39482fb9f63287899 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
45 schema:name Enterococcus
46 rdf:type schema:DefinedTerm
47 N2092df66f50a44dfb7923e6ab1265b9a schema:name readcube_id
48 schema:value 9e8b1c1bc6fa2c065848b70a5572130a05b924eb232e67dc6649d5813d6a92b8
49 rdf:type schema:PropertyValue
50 N22a354013a1849f68fd0d8b7704e8684 schema:issueNumber 1-3
51 rdf:type schema:PublicationIssue
52 N41f9c5d50af44be89ba53c5ae7f130c1 schema:name doi
53 schema:value 10.1007/s10661-007-0009-4
54 rdf:type schema:PropertyValue
55 N5638fe74123c43bfbdc5d7accfc4c238 schema:name dimensions_id
56 schema:value pub.1033280471
57 rdf:type schema:PropertyValue
58 N5a180eeab0f14b24937445062980c013 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
59 schema:name Environmental Monitoring
60 rdf:type schema:DefinedTerm
61 N696d7081c2ea4996aea9b35534cecc8e schema:volumeNumber 144
62 rdf:type schema:PublicationVolume
63 N8a5a3600c61c4dab8f8e5157055dcdb5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Water Pollution
65 rdf:type schema:DefinedTerm
66 Na39382f7c7754b2190bb9aa3468b24b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Taiwan
68 rdf:type schema:DefinedTerm
69 Na93e23f4bb52438daa76b7b1237abf98 schema:name nlm_unique_id
70 schema:value 8508350
71 rdf:type schema:PropertyValue
72 Nbd315dc7c36b453390f00a4c4c2b42c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Colony Count, Microbial
74 rdf:type schema:DefinedTerm
75 Nc270c550d6af48588f64b14aa93ee734 rdf:first sg:person.0605015334.71
76 rdf:rest Nd8cd16807ea44f1499312043d8c7f24f
77 Ncbefe5dbeefa4195b082c98a22963141 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Seasons
79 rdf:type schema:DefinedTerm
80 Ncc0c2e71d94643249b8fbafbfd5241db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Seawater
82 rdf:type schema:DefinedTerm
83 Nce6111aa11414e35a936dd409be2d227 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Humans
85 rdf:type schema:DefinedTerm
86 Nd8cd16807ea44f1499312043d8c7f24f rdf:first sg:person.0671743124.25
87 rdf:rest rdf:nil
88 Ndf6d85f631e04477bfebd286e18ef59a schema:name pubmed_id
89 schema:value 17972152
90 rdf:type schema:PropertyValue
91 Ne56fe7510709464281cd4b8292a6baa7 schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 Nf56d94de466442279e7b579a4b890727 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Environment
95 rdf:type schema:DefinedTerm
96 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
97 schema:name Engineering
98 rdf:type schema:DefinedTerm
99 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
100 schema:name Environmental Engineering
101 rdf:type schema:DefinedTerm
102 sg:journal.1095684 schema:issn 0167-6369
103 1573-2959
104 schema:name Environmental Monitoring and Assessment
105 rdf:type schema:Periodical
106 sg:person.0605015334.71 schema:affiliation https://www.grid.ac/institutes/grid.412047.4
107 schema:familyName Hsu
108 schema:givenName Bing-Mu
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605015334.71
110 rdf:type schema:Person
111 sg:person.0671743124.25 schema:affiliation https://www.grid.ac/institutes/grid.412071.1
112 schema:familyName Huang
113 schema:givenName Yu-Li
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671743124.25
115 rdf:type schema:Person
116 https://doi.org/10.1016/s0043-1354(02)00496-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019012713
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/s0140-6736(94)92267-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025113309
119 rdf:type schema:CreativeWork
120 https://www.grid.ac/institutes/grid.412047.4 schema:alternateName National Chung Cheng University
121 schema:name Department of Earth and Environmental Sciences, National Chung Cheng University, 168, University Rd, Min-Hsiung, Chiayi, Taiwan, Republic of China
122 rdf:type schema:Organization
123 https://www.grid.ac/institutes/grid.412071.1 schema:alternateName National Kaohsiung First University of Science and Technology
124 schema:name Department of Safety, Health and Environmental Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan, Republic of China
125 rdf:type schema:Organization
 




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


...