Assessment of the quality of groundwaters proximal to dumpsites in Awka and Nnewi metropolises: a comparative approach View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Johnbosco C. Egbueri

ABSTRACT

Using integrated geoscientific approach, this paper assessed the quality of groundwaters around open dumpsites in Awka and Nnewi metropolises, Nigeria. Ten water samples for each of the metropolises were subjected to hydrogeochemical analysis. Seventeen parameters were subjected to correlation, factor, cluster, pollution index, and quality analyses. The interrelationships between parameters were obtained. The order of cation and anion dominance in Awka is Ca > Mg > Na > K and Cl > HCO3 > SO4 > NO3 > PO4, respectively. In Nnewi, the order is Na > Ca > K>Mg and Cl > SO4 > HCO3 > PO4 > NO3, respectively. Heavy metals occurred in the order Pb > Fe > Cu > Cd in Awka and Fe > Cu > Pb > Cd in Nnewi. Five water types and three water facies dominate Awka metropolis, whereas eight water types and four water facies dominate Nnewi metropolis. The physicochemical parameters for both metropolises are well within quality standards. However, pH of most of the samples is off standard limits, classing the waters as neutral to slightly acidic. Also, the groundwaters are generally contaminated with heavy metals. Pollution index of Awka metropolis (ranging 0.542–73.083) is higher than that of Nnewi metropolis (ranging 0.069–6.617). Further, Pb has the highest contamination factor in Awka metropolis, whereas Cd has the highest in Nnewi metropolis. Based on the gross characteristics observed in both metropolises, the waters are considered unfit for drinking purposes, but could be used for other domestic and industrial purposes which do not require them being used for food processing. More... »

PAGES

1-16

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s42108-018-0004-1

DOI

http://dx.doi.org/10.1007/s42108-018-0004-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110065572


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Nigeria, Nsukka", 
          "id": "https://www.grid.ac/institutes/grid.10757.34", 
          "name": [
            "Environmental Monitoring and Assessment Unit, Department of Geology, University of Nigeria, Nsukka, Nigeria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Egbueri", 
        "givenName": "Johnbosco C.", 
        "id": "sg:person.013625134550.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013625134550.66"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s13201-015-0313-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015743804", 
          "https://doi.org/10.1007/s13201-015-0313-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13201-015-0313-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015743804", 
          "https://doi.org/10.1007/s13201-015-0313-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/tr025i006p00914", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017941044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40899-016-0053-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019547740", 
          "https://doi.org/10.1007/s40899-016-0053-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0143-148x(82)90010-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024904606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0143-148x(82)90010-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024904606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4314/jasem.v10i2.43690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025688021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4314/jasem.v10i2.43690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025688021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03326146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027314439", 
          "https://doi.org/10.1007/bf03326146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4314/jasem.v11i2.55050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029191395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4314/jasem.v11i2.55050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029191395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00254-007-0762-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030447545", 
          "https://doi.org/10.1007/s00254-007-0762-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10661-006-1505-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033510853", 
          "https://doi.org/10.1007/s10661-006-1505-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10661-009-0799-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034141252", 
          "https://doi.org/10.1007/s10661-009-0799-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10661-009-0799-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034141252", 
          "https://doi.org/10.1007/s10661-009-0799-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13690-016-0166-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036544613", 
          "https://doi.org/10.1186/s13690-016-0166-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13690-016-0166-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036544613", 
          "https://doi.org/10.1186/s13690-016-0166-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10661-007-9897-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038498141", 
          "https://doi.org/10.1007/s10661-007-9897-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.proenv.2016.07.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039064993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4314/stech.v3i3.8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047635647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4314/stech.v3i3.8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047635647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09593331908616683", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051429776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.170.3962.1088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062501813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.56.3.387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068864381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/24749508.2018.1493635", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105487890"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Using integrated geoscientific approach, this paper assessed the quality of groundwaters around open dumpsites in Awka and Nnewi metropolises, Nigeria. Ten water samples for each of the metropolises were subjected to hydrogeochemical analysis. Seventeen parameters were subjected to correlation, factor, cluster, pollution index, and quality analyses. The interrelationships between parameters were obtained. The order of cation and anion dominance in Awka is Ca > Mg > Na > K and Cl > HCO3 > SO4 > NO3 > PO4, respectively. In Nnewi, the order is Na > Ca > K>Mg and Cl > SO4 > HCO3 > PO4 > NO3, respectively. Heavy metals occurred in the order Pb > Fe > Cu > Cd in Awka and Fe > Cu > Pb > Cd in Nnewi. Five water types and three water facies dominate Awka metropolis, whereas eight water types and four water facies dominate Nnewi metropolis. The physicochemical parameters for both metropolises are well within quality standards. However, pH of most of the samples is off standard limits, classing the waters as neutral to slightly acidic. Also, the groundwaters are generally contaminated with heavy metals. Pollution index of Awka metropolis (ranging 0.542\u201373.083) is higher than that of Nnewi metropolis (ranging 0.069\u20136.617). Further, Pb has the highest contamination factor in Awka metropolis, whereas Cd has the highest in Nnewi metropolis. Based on the gross characteristics observed in both metropolises, the waters are considered unfit for drinking purposes, but could be used for other domestic and industrial purposes which do not require them being used for food processing.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s42108-018-0004-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1320455", 
        "issn": [
          "2538-3604", 
          "2522-0101"
        ], 
        "name": "International Journal of Energy and Water Resources", 
        "type": "Periodical"
      }
    ], 
    "name": "Assessment of the quality of groundwaters proximal to dumpsites in Awka and Nnewi metropolises: a comparative approach", 
    "pagination": "1-16", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "683d85772faf987abd1c66bfbed9a18eb32c0a2eb809df11db34d8a32e4032f0"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s42108-018-0004-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110065572"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s42108-018-0004-1", 
      "https://app.dimensions.ai/details/publication/pub.1110065572"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:10", 
    "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/v90/0000000269_0000000269/records_56784_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs42108-018-0004-1"
  }
]
 

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/s42108-018-0004-1'

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/s42108-018-0004-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s42108-018-0004-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s42108-018-0004-1'


 

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

117 TRIPLES      21 PREDICATES      43 URIs      17 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s42108-018-0004-1 schema:about anzsrc-for:09
2 anzsrc-for:0907
3 schema:author N5ca4ca28316b4094a87b7ea84550a2d6
4 schema:citation sg:pub.10.1007/bf03326146
5 sg:pub.10.1007/s00254-007-0762-2
6 sg:pub.10.1007/s10661-006-1505-7
7 sg:pub.10.1007/s10661-007-9897-6
8 sg:pub.10.1007/s10661-009-0799-7
9 sg:pub.10.1007/s13201-015-0313-z
10 sg:pub.10.1007/s40899-016-0053-8
11 sg:pub.10.1186/s13690-016-0166-4
12 https://doi.org/10.1016/0143-148x(82)90010-6
13 https://doi.org/10.1016/j.proenv.2016.07.019
14 https://doi.org/10.1029/tr025i006p00914
15 https://doi.org/10.1080/09593331908616683
16 https://doi.org/10.1080/24749508.2018.1493635
17 https://doi.org/10.1126/science.170.3962.1088
18 https://doi.org/10.2105/ajph.56.3.387
19 https://doi.org/10.4314/jasem.v10i2.43690
20 https://doi.org/10.4314/jasem.v11i2.55050
21 https://doi.org/10.4314/stech.v3i3.8
22 schema:datePublished 2018-12
23 schema:datePublishedReg 2018-12-01
24 schema:description Using integrated geoscientific approach, this paper assessed the quality of groundwaters around open dumpsites in Awka and Nnewi metropolises, Nigeria. Ten water samples for each of the metropolises were subjected to hydrogeochemical analysis. Seventeen parameters were subjected to correlation, factor, cluster, pollution index, and quality analyses. The interrelationships between parameters were obtained. The order of cation and anion dominance in Awka is Ca > Mg > Na > K and Cl > HCO3 > SO4 > NO3 > PO4, respectively. In Nnewi, the order is Na > Ca > K>Mg and Cl > SO4 > HCO3 > PO4 > NO3, respectively. Heavy metals occurred in the order Pb > Fe > Cu > Cd in Awka and Fe > Cu > Pb > Cd in Nnewi. Five water types and three water facies dominate Awka metropolis, whereas eight water types and four water facies dominate Nnewi metropolis. The physicochemical parameters for both metropolises are well within quality standards. However, pH of most of the samples is off standard limits, classing the waters as neutral to slightly acidic. Also, the groundwaters are generally contaminated with heavy metals. Pollution index of Awka metropolis (ranging 0.542–73.083) is higher than that of Nnewi metropolis (ranging 0.069–6.617). Further, Pb has the highest contamination factor in Awka metropolis, whereas Cd has the highest in Nnewi metropolis. Based on the gross characteristics observed in both metropolises, the waters are considered unfit for drinking purposes, but could be used for other domestic and industrial purposes which do not require them being used for food processing.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf sg:journal.1320455
29 schema:name Assessment of the quality of groundwaters proximal to dumpsites in Awka and Nnewi metropolises: a comparative approach
30 schema:pagination 1-16
31 schema:productId N235995bfdd954cd29003c95875509656
32 N83705031c27d4ea38b49a6859abe9355
33 Ncad093bf51114826a422ca83ced8afb2
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110065572
35 https://doi.org/10.1007/s42108-018-0004-1
36 schema:sdDatePublished 2019-04-11T08:10
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Ne1c878e922e6492fb7b2f5f502dfb60a
39 schema:url https://link.springer.com/10.1007%2Fs42108-018-0004-1
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N235995bfdd954cd29003c95875509656 schema:name dimensions_id
44 schema:value pub.1110065572
45 rdf:type schema:PropertyValue
46 N5ca4ca28316b4094a87b7ea84550a2d6 rdf:first sg:person.013625134550.66
47 rdf:rest rdf:nil
48 N83705031c27d4ea38b49a6859abe9355 schema:name doi
49 schema:value 10.1007/s42108-018-0004-1
50 rdf:type schema:PropertyValue
51 Ncad093bf51114826a422ca83ced8afb2 schema:name readcube_id
52 schema:value 683d85772faf987abd1c66bfbed9a18eb32c0a2eb809df11db34d8a32e4032f0
53 rdf:type schema:PropertyValue
54 Ne1c878e922e6492fb7b2f5f502dfb60a schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
57 schema:name Engineering
58 rdf:type schema:DefinedTerm
59 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
60 schema:name Environmental Engineering
61 rdf:type schema:DefinedTerm
62 sg:journal.1320455 schema:issn 2522-0101
63 2538-3604
64 schema:name International Journal of Energy and Water Resources
65 rdf:type schema:Periodical
66 sg:person.013625134550.66 schema:affiliation https://www.grid.ac/institutes/grid.10757.34
67 schema:familyName Egbueri
68 schema:givenName Johnbosco C.
69 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013625134550.66
70 rdf:type schema:Person
71 sg:pub.10.1007/bf03326146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027314439
72 https://doi.org/10.1007/bf03326146
73 rdf:type schema:CreativeWork
74 sg:pub.10.1007/s00254-007-0762-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030447545
75 https://doi.org/10.1007/s00254-007-0762-2
76 rdf:type schema:CreativeWork
77 sg:pub.10.1007/s10661-006-1505-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033510853
78 https://doi.org/10.1007/s10661-006-1505-7
79 rdf:type schema:CreativeWork
80 sg:pub.10.1007/s10661-007-9897-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038498141
81 https://doi.org/10.1007/s10661-007-9897-6
82 rdf:type schema:CreativeWork
83 sg:pub.10.1007/s10661-009-0799-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034141252
84 https://doi.org/10.1007/s10661-009-0799-7
85 rdf:type schema:CreativeWork
86 sg:pub.10.1007/s13201-015-0313-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1015743804
87 https://doi.org/10.1007/s13201-015-0313-z
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/s40899-016-0053-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019547740
90 https://doi.org/10.1007/s40899-016-0053-8
91 rdf:type schema:CreativeWork
92 sg:pub.10.1186/s13690-016-0166-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036544613
93 https://doi.org/10.1186/s13690-016-0166-4
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/0143-148x(82)90010-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024904606
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/j.proenv.2016.07.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039064993
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1029/tr025i006p00914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017941044
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1080/09593331908616683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051429776
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1080/24749508.2018.1493635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105487890
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1126/science.170.3962.1088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062501813
106 rdf:type schema:CreativeWork
107 https://doi.org/10.2105/ajph.56.3.387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068864381
108 rdf:type schema:CreativeWork
109 https://doi.org/10.4314/jasem.v10i2.43690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025688021
110 rdf:type schema:CreativeWork
111 https://doi.org/10.4314/jasem.v11i2.55050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029191395
112 rdf:type schema:CreativeWork
113 https://doi.org/10.4314/stech.v3i3.8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047635647
114 rdf:type schema:CreativeWork
115 https://www.grid.ac/institutes/grid.10757.34 schema:alternateName University of Nigeria, Nsukka
116 schema:name Environmental Monitoring and Assessment Unit, Department of Geology, University of Nigeria, Nsukka, Nigeria
117 rdf:type schema:Organization
 




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


...