Assessment of Groundwater Quality by Means of Self-Organizing Maps: Application in a Semiarid Area View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-11

AUTHORS

FRANCISCO SÁNCHEZ-MARTOS, PEDRO A. AGUILERA, ANTONIA GARRIDO-FRENICH, JOSÉ A. TORRES, ANTONIO PULIDO-BOSCH

ABSTRACT

The Kohonen neural network was applied to hydrochemical data from the Detritic Aquifer of the Lower Andarax, situated in a semiarid zone in the southeast of Spain. An activation map was obtained for each of the sampling points, in which the spatial distribution of the activated neurons indicated different water qualities. To extract the information contained in the activation maps, they were divided into nine quadrats. Cartesian coordinates were assigned to each quadrant ( x, y), and for each sampling point, three derived variables were selected, which were assigned the values x and y of the corresponding quadrat. A classification was defined based on this simple matrix system which allows an easy and rapid means of evaluating the water quality. This assessment highlights the various processes that affect groundwater quality. The method generates output that is easier to interpret than from traditional statistical methods. The information is extracted from the activation maps without significant loss of information. The method is proposed for assessing water quality in hydrogeochemically complex areas, where large numbers of observations are made. More... »

PAGES

0716-0726

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00267-002-2746-z

DOI

http://dx.doi.org/10.1007/s00267-002-2746-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052625740

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12375091


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Desert Climate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Geographic Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neural Networks (Computer)", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality Control", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Soil", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Water Pollutants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Water Supply", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Almer\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.28020.38", 
          "name": [
            "Department of Hydrogeology, Almer\u00eda University, 04120 Almer\u00eda, Spain, ES"
          ], 
          "type": "Organization"
        }, 
        "familyName": "S\u00c1NCHEZ-MARTOS", 
        "givenName": "FRANCISCO", 
        "id": "sg:person.01244164106.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01244164106.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Almer\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.28020.38", 
          "name": [
            "Department of Ecology, Almer\u00eda University, 04120 Almer\u00eda, Spain, ES"
          ], 
          "type": "Organization"
        }, 
        "familyName": "AGUILERA", 
        "givenName": "PEDRO A.", 
        "id": "sg:person.013641203661.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013641203661.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Almer\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.28020.38", 
          "name": [
            "Department of Analytical Chemistry, Almer\u00eda University, 04120 Almer\u00eda, Spain, ES"
          ], 
          "type": "Organization"
        }, 
        "familyName": "GARRIDO-FRENICH", 
        "givenName": "ANTONIA", 
        "id": "sg:person.0703366450.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703366450.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Almer\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.28020.38", 
          "name": [
            "Department of Computer Science, Almer\u00eda University, 04120 Almer\u00eda, Spain, ES"
          ], 
          "type": "Organization"
        }, 
        "familyName": "TORRES", 
        "givenName": "JOS\u00c9 A.", 
        "id": "sg:person.01040070513.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040070513.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Almer\u00eda", 
          "id": "https://www.grid.ac/institutes/grid.28020.38", 
          "name": [
            "Department of Hydrogeology, Almer\u00eda University, 04120 Almer\u00eda, Spain, ES"
          ], 
          "type": "Organization"
        }, 
        "familyName": "PULIDO-BOSCH", 
        "givenName": "ANTONIO", 
        "id": "sg:person.012357120377.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012357120377.80"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2002-11", 
    "datePublishedReg": "2002-11-01", 
    "description": "The Kohonen neural network was applied to hydrochemical data from the Detritic Aquifer of the Lower Andarax, situated in a semiarid zone in the southeast of Spain. An activation map was obtained for each of the sampling points, in which the spatial distribution of the activated neurons indicated different water qualities. To extract the information contained in the activation maps, they were divided into nine quadrats. Cartesian coordinates were assigned to each quadrant ( x, y), and for each sampling point, three derived variables were selected, which were assigned the values x and y of the corresponding quadrat. A classification was defined based on this simple matrix system which allows an easy and rapid means of evaluating the water quality. This assessment highlights the various processes that affect groundwater quality. The method generates output that is easier to interpret than from traditional statistical methods. The information is extracted from the activation maps without significant loss of information. The method is proposed for assessing water quality in hydrogeochemically complex areas, where large numbers of observations are made.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00267-002-2746-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1086396", 
        "issn": [
          "0364-152X", 
          "1432-1009"
        ], 
        "name": "Environmental Management", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Assessment of Groundwater Quality by Means of Self-Organizing Maps: Application in a Semiarid Area", 
    "pagination": "0716-0726", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "faac56a8a6398157c2105a38a2576375938077d445e42741d137acca684640db"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12375091"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7703893"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00267-002-2746-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052625740"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00267-002-2746-z", 
      "https://app.dimensions.ai/details/publication/pub.1052625740"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:43", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8669_00000516.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00267-002-2746-z"
  }
]
 

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/s00267-002-2746-z'

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/s00267-002-2746-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00267-002-2746-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00267-002-2746-z'


 

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

128 TRIPLES      20 PREDICATES      36 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00267-002-2746-z schema:about N0a4928b5ae3b4e3db09a4b3b5bb5b5cc
2 N3c13a4499827443e9929b4a5cbc2a55d
3 N5e2823786809470d9a5b612a12af894c
4 N71c20fec2c254dd483ff7041c5a570b3
5 N7cb157d2b5764959a064f94c8aff9d5f
6 Naa8b0cd970f040d0abbffc29191d0ea6
7 Nacce0c66b6ec4cb09e955dce02ffb348
8 anzsrc-for:01
9 anzsrc-for:0104
10 schema:author Nab2d88be147e4dcda7e92a93db37996e
11 schema:datePublished 2002-11
12 schema:datePublishedReg 2002-11-01
13 schema:description The Kohonen neural network was applied to hydrochemical data from the Detritic Aquifer of the Lower Andarax, situated in a semiarid zone in the southeast of Spain. An activation map was obtained for each of the sampling points, in which the spatial distribution of the activated neurons indicated different water qualities. To extract the information contained in the activation maps, they were divided into nine quadrats. Cartesian coordinates were assigned to each quadrant ( x, y), and for each sampling point, three derived variables were selected, which were assigned the values x and y of the corresponding quadrat. A classification was defined based on this simple matrix system which allows an easy and rapid means of evaluating the water quality. This assessment highlights the various processes that affect groundwater quality. The method generates output that is easier to interpret than from traditional statistical methods. The information is extracted from the activation maps without significant loss of information. The method is proposed for assessing water quality in hydrogeochemically complex areas, where large numbers of observations are made.
14 schema:genre research_article
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf N9ec3b3c8f77148b7b9ce66ec75704d10
18 Nfe503632a8d04436a205ec1f7a324048
19 sg:journal.1086396
20 schema:name Assessment of Groundwater Quality by Means of Self-Organizing Maps: Application in a Semiarid Area
21 schema:pagination 0716-0726
22 schema:productId N3498b59301f7427fbcfd25f93b2b496f
23 N37a22033061f4c8398ff73f77ad52cf0
24 N3faeedb1c68b4e38bea31b37331baa60
25 Na8c5d2198b644820986b3584b7ddd1f1
26 Nee2182006d514a6f921b0dfeb64bb5bf
27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052625740
28 https://doi.org/10.1007/s00267-002-2746-z
29 schema:sdDatePublished 2019-04-10T16:43
30 schema:sdLicense https://scigraph.springernature.com/explorer/license/
31 schema:sdPublisher N3678b83c02d84d72ab1cd59a78077a09
32 schema:url http://link.springer.com/10.1007%2Fs00267-002-2746-z
33 sgo:license sg:explorer/license/
34 sgo:sdDataset articles
35 rdf:type schema:ScholarlyArticle
36 N0a4928b5ae3b4e3db09a4b3b5bb5b5cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
37 schema:name Quality Control
38 rdf:type schema:DefinedTerm
39 N3498b59301f7427fbcfd25f93b2b496f schema:name readcube_id
40 schema:value faac56a8a6398157c2105a38a2576375938077d445e42741d137acca684640db
41 rdf:type schema:PropertyValue
42 N3678b83c02d84d72ab1cd59a78077a09 schema:name Springer Nature - SN SciGraph project
43 rdf:type schema:Organization
44 N37a22033061f4c8398ff73f77ad52cf0 schema:name dimensions_id
45 schema:value pub.1052625740
46 rdf:type schema:PropertyValue
47 N3c13a4499827443e9929b4a5cbc2a55d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
48 schema:name Geographic Information Systems
49 rdf:type schema:DefinedTerm
50 N3faeedb1c68b4e38bea31b37331baa60 schema:name doi
51 schema:value 10.1007/s00267-002-2746-z
52 rdf:type schema:PropertyValue
53 N47c089140c884d88a9eed98ade27bf37 rdf:first sg:person.013641203661.79
54 rdf:rest Nb43e657e4c1e441381a864a25e927633
55 N5e2823786809470d9a5b612a12af894c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
56 schema:name Water Supply
57 rdf:type schema:DefinedTerm
58 N71c20fec2c254dd483ff7041c5a570b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
59 schema:name Neural Networks (Computer)
60 rdf:type schema:DefinedTerm
61 N7cb157d2b5764959a064f94c8aff9d5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
62 schema:name Desert Climate
63 rdf:type schema:DefinedTerm
64 N8254167ab44d40b3b31dc4b30bd99974 rdf:first sg:person.01040070513.08
65 rdf:rest Nf354acf108184da8be682627274aa4a6
66 N9ec3b3c8f77148b7b9ce66ec75704d10 schema:issueNumber 5
67 rdf:type schema:PublicationIssue
68 Na8c5d2198b644820986b3584b7ddd1f1 schema:name pubmed_id
69 schema:value 12375091
70 rdf:type schema:PropertyValue
71 Naa8b0cd970f040d0abbffc29191d0ea6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Water Pollutants
73 rdf:type schema:DefinedTerm
74 Nab2d88be147e4dcda7e92a93db37996e rdf:first sg:person.01244164106.51
75 rdf:rest N47c089140c884d88a9eed98ade27bf37
76 Nacce0c66b6ec4cb09e955dce02ffb348 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Soil
78 rdf:type schema:DefinedTerm
79 Nb43e657e4c1e441381a864a25e927633 rdf:first sg:person.0703366450.10
80 rdf:rest N8254167ab44d40b3b31dc4b30bd99974
81 Nee2182006d514a6f921b0dfeb64bb5bf schema:name nlm_unique_id
82 schema:value 7703893
83 rdf:type schema:PropertyValue
84 Nf354acf108184da8be682627274aa4a6 rdf:first sg:person.012357120377.80
85 rdf:rest rdf:nil
86 Nfe503632a8d04436a205ec1f7a324048 schema:volumeNumber 30
87 rdf:type schema:PublicationVolume
88 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
89 schema:name Mathematical Sciences
90 rdf:type schema:DefinedTerm
91 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
92 schema:name Statistics
93 rdf:type schema:DefinedTerm
94 sg:journal.1086396 schema:issn 0364-152X
95 1432-1009
96 schema:name Environmental Management
97 rdf:type schema:Periodical
98 sg:person.01040070513.08 schema:affiliation https://www.grid.ac/institutes/grid.28020.38
99 schema:familyName TORRES
100 schema:givenName JOSÉ A.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040070513.08
102 rdf:type schema:Person
103 sg:person.012357120377.80 schema:affiliation https://www.grid.ac/institutes/grid.28020.38
104 schema:familyName PULIDO-BOSCH
105 schema:givenName ANTONIO
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012357120377.80
107 rdf:type schema:Person
108 sg:person.01244164106.51 schema:affiliation https://www.grid.ac/institutes/grid.28020.38
109 schema:familyName SÁNCHEZ-MARTOS
110 schema:givenName FRANCISCO
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01244164106.51
112 rdf:type schema:Person
113 sg:person.013641203661.79 schema:affiliation https://www.grid.ac/institutes/grid.28020.38
114 schema:familyName AGUILERA
115 schema:givenName PEDRO A.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013641203661.79
117 rdf:type schema:Person
118 sg:person.0703366450.10 schema:affiliation https://www.grid.ac/institutes/grid.28020.38
119 schema:familyName GARRIDO-FRENICH
120 schema:givenName ANTONIA
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703366450.10
122 rdf:type schema:Person
123 https://www.grid.ac/institutes/grid.28020.38 schema:alternateName University of Almería
124 schema:name Department of Analytical Chemistry, Almería University, 04120 Almería, Spain, ES
125 Department of Computer Science, Almería University, 04120 Almería, Spain, ES
126 Department of Ecology, Almería University, 04120 Almería, Spain, ES
127 Department of Hydrogeology, Almería University, 04120 Almería, Spain, ES
128 rdf:type schema:Organization
 




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


...