Ontology type: schema:ScholarlyArticle
2019-03
AUTHORSOlutoyin Adeola Fashae, Hannah Abiola Ayorinde, Adeyemi Oludapo Olusola, Rotimi Oluseyi Obateru
ABSTRACTThe study analyzed the impact of landuse types on surface water quality in an emerging urban city. The objectives were to classify the existing landuse types, examine the variation in water quality across different landuse types, examine the quality of surface water using the water quality index, and compare the water quality parameters with the World Health Organization (WHO) standards. Samples drawn from surface waters were analyzed based on in situ and ex situ analysis according to standard methods. Three landuse types were identified namely residential, vegetated and commercial. The vegetated landuse accounted for the highest landuse type with 74% of land coverage. One-way analysis of variance was used to determine the variation in water quality parameters within each landuse type. There was a significant variation in total solids (F = 8.677, P < 0.05), total dissolved solids (F = 7.836, P < 0.05), and total suspended solids (F = 10.365, P < 0.05). Using the water quality index calculator 1.0, a value of 41 was obtained thereby indicating poor quality. Water quality parameters were compared with World Health Organization (WHO) standards, and it was observed that electrical conductivity, nitrate, phosphate, sulfate, chloride were below WHO permissible limit while total dissolved solids, bacterial load and total solids were above the limit set by WHO. Therefore, there should be a continual intensive water quality monitoring program of surface waters across the area and its immediate environs to maintain healthy lifestyle of the populace and ensure ecosystem balance. More... »
PAGES25
http://scigraph.springernature.com/pub.10.1007/s13201-019-0903-2
DOIhttp://dx.doi.org/10.1007/s13201-019-0903-2
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1111935064
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 Ibadan",
"id": "https://www.grid.ac/institutes/grid.9582.6",
"name": [
"Department of Geography, University of Ibadan, Ibadan, Nigeria"
],
"type": "Organization"
},
"familyName": "Adeola Fashae",
"givenName": "Olutoyin",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Ibadan",
"id": "https://www.grid.ac/institutes/grid.9582.6",
"name": [
"Department of Geography, University of Ibadan, Ibadan, Nigeria"
],
"type": "Organization"
},
"familyName": "Abiola Ayorinde",
"givenName": "Hannah",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Ibadan",
"id": "https://www.grid.ac/institutes/grid.9582.6",
"name": [
"Department of Geography, University of Ibadan, Ibadan, Nigeria"
],
"type": "Organization"
},
"familyName": "Oludapo Olusola",
"givenName": "Adeyemi",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Ibadan",
"id": "https://www.grid.ac/institutes/grid.9582.6",
"name": [
"Department of Geography, University of Ibadan, Ibadan, Nigeria"
],
"type": "Organization"
},
"familyName": "Oluseyi Obateru",
"givenName": "Rotimi",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.4314/jasem.v14i2.57830",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002259961"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4314/jasem.v14i2.57830",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002259961"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/hess-17-2233-2013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003533326"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12571-008-0003-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004939900",
"https://doi.org/10.1007/s12571-008-0003-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pce.2004.09.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006533780"
],
"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": "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/10.1155/2011/798292",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017552678"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0045-6535(03)00481-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020832915"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0045-6535(03)00481-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020832915"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2007wr006644",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023639732"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.catena.2008.06.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023884812"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/09603120500538226",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024082454"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4236/jep.2012.31003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025440011"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.envpol.2005.12.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025528581"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2478/jengeo-2014-0003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033384206"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01944369608975688",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047795480"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10661-008-0644-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047984280",
"https://doi.org/10.1007/s10661-008-0644-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2486.2005.01026.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051217572"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2486.2005.01026.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051217572"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40064-016-2815-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053034518",
"https://doi.org/10.1186/s40064-016-2815-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40064-016-2815-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053034518",
"https://doi.org/10.1186/s40064-016-2815-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/es051270q",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055498405"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/es051270q",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055498405"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.14207/ejsd.2015.v4n3p93",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1067209292"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2989/16085914.2015.1077777",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070958949"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1077866978",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cosust.2016.11.016",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083422231"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1515/jengeo-2017-0003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091050708"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.chemosphere.2018.02.106",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101111582"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.22146/ijg.12738",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101307433"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1504/ijw.2018.091379",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1103757361"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5897/ajest2017.2322",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1107863622"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-03",
"datePublishedReg": "2019-03-01",
"description": "The study analyzed the impact of landuse types on surface water quality in an emerging urban city. The objectives were to classify the existing landuse types, examine the variation in water quality across different landuse types, examine the quality of surface water using the water quality index, and compare the water quality parameters with the World Health Organization (WHO) standards. Samples drawn from surface waters were analyzed based on in situ and ex situ analysis according to standard methods. Three landuse types were identified namely residential, vegetated and commercial. The vegetated landuse accounted for the highest landuse type with 74% of land coverage. One-way analysis of variance was used to determine the variation in water quality parameters within each landuse type. There was a significant variation in total solids (F = 8.677, P < 0.05), total dissolved solids (F = 7.836, P < 0.05), and total suspended solids (F = 10.365, P < 0.05). Using the water quality index calculator 1.0, a value of 41 was obtained thereby indicating poor quality. Water quality parameters were compared with World Health Organization (WHO) standards, and it was observed that electrical conductivity, nitrate, phosphate, sulfate, chloride were below WHO permissible limit while total dissolved solids, bacterial load and total solids were above the limit set by WHO. Therefore, there should be a continual intensive water quality monitoring program of surface waters across the area and its immediate environs to maintain healthy lifestyle of the populace and ensure ecosystem balance.",
"genre": "research_article",
"id": "sg:pub.10.1007/s13201-019-0903-2",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1051421",
"issn": [
"2190-5487",
"2190-5495"
],
"name": "Applied Water Science",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "9"
}
],
"name": "Landuse and surface water quality in an emerging urban city",
"pagination": "25",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"58cc385551bb9dff24ce4f52e63918766643f33d687f4e914e716a1e824b1ce1"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s13201-019-0903-2"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1111935064"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s13201-019-0903-2",
"https://app.dimensions.ai/details/publication/pub.1111935064"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:05",
"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/v90/0000000366_0000000366/records_112072_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs13201-019-0903-2"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/s13201-019-0903-2'
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/s13201-019-0903-2'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13201-019-0903-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13201-019-0903-2'
This table displays all metadata directly associated to this object as RDF triples.
162 TRIPLES
21 PREDICATES
54 URIs
19 LITERALS
7 BLANK NODES