Ontology type: schema:ScholarlyArticle
2013-11
AUTHORS ABSTRACTGroundwater is one of the most valuable natural resources, which is an immensely important and dependable source of water supply in all climatic regions over the world. Groundwater is in demand in areas where surface water supply is inadequate and nonsexist in the Chhatna Block, Bankura district and is located on the eastern slope of Chotonagpur Plateau, which is mapped on 73 I/15, 73 I/16 and 73 M/3, and falls between latitude 23°10′–23°30′N and longitude 86°47′–87°02′E. It represents plain land and gentle slope, which is responsible for infiltration and groundwater recharge. The groundwater in this region is confined within the fracture zones and weathered residuum. The present investigation is, therefore, undertaken to delineate potential zones for groundwater development with the help of a remote-sensing study. IRS–LISS-III data along with other data sets, e.g., existing toposheets and field observation data, have been utilized to extract information on the hydrogeomorphic features which include valley fills, buried pediment moderate, buried pediment shallow and structural hills, lineament density contour and slope map of this hard rock terrain. The target of this study is to delineate the groundwater potential zones in Chhatna block, Bankura District, West Bengal. Satellite imagery, along with other data sets, has been utilized to extract information on the groundwater controlling features of this study area. Three features (hydrogeomorphology, slope, and lineaments) that influence groundwater occurrences were analyzed and integrated. All the information layers have been integrated through GIS analysis and the groundwater potential zones have been delineated. The weighted index overlay method has been followed to delineate groundwater potential zones. The results indicate that good to excellent groundwater potential zones are available in almost the entire block. The results show that there is good agreement between the predicted groundwater potential map and the existing groundwater borehole databases. The area is characterized by hard rock terrain—still due to the presence of planation surface along valley fills; it became the prospective zone. The area has been categorized into four distinct zones: excellent, good, fair and poor. Excellent groundwater potential zones constitute 30–35 % of the total block area; good groundwater potential zones occupy a majority of the block, covering approximately 55–60 % and the fair potential zones occupy about 10–15 % of the total block. Poor potential zones occupy a very insignificant portion (less than 1 %). More... »
PAGES2115-2127
http://scigraph.springernature.com/pub.10.1007/s12665-012-1713-0
DOIhttp://dx.doi.org/10.1007/s12665-012-1713-0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1014759787
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/2008/0406",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Physical Geography and Environmental Geoscience",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Earth Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Jadavpur University",
"id": "https://www.grid.ac/institutes/grid.216499.1",
"name": [
"Department of Geological Sciences, Jadavpur University, Kolkata, India"
],
"type": "Organization"
},
"familyName": "Nag",
"givenName": "S. K.",
"id": "sg:person.011372327605.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011372327605.16"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Jadavpur University",
"id": "https://www.grid.ac/institutes/grid.216499.1",
"name": [
"Department of Geological Sciences, Jadavpur University, Kolkata, India"
],
"type": "Organization"
},
"familyName": "Ghosh",
"givenName": "P.",
"id": "sg:person.010226761027.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010226761027.38"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf03030772",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000324945",
"https://doi.org/10.1007/bf03030772"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2113/175.1.21",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002273811"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jag.2004.08.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003153072"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1745-6584.1964.tb01750.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005493496"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-662-12914-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005572141",
"https://doi.org/10.1007/978-3-662-12914-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-662-12914-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005572141",
"https://doi.org/10.1007/978-3-662-12914-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1144/gsl.sp.1992.066.01.01",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008722356"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10040-004-0375-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010261355",
"https://doi.org/10.1007/s10040-004-0375-8"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01431160701264276",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013000201"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10661-010-1407-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014426142",
"https://doi.org/10.1007/s10661-010-1407-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10040-006-0140-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018526257",
"https://doi.org/10.1007/s10040-006-0140-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10040-006-0140-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018526257",
"https://doi.org/10.1007/s10040-006-0140-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11269-009-9479-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018599587",
"https://doi.org/10.1007/s11269-009-9479-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11269-009-9479-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018599587",
"https://doi.org/10.1007/s11269-009-9479-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jhydrol.2008.03.026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020358586"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02989916",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021608234",
"https://doi.org/10.1007/bf02989916"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02989916",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021608234",
"https://doi.org/10.1007/bf02989916"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10040-001-0168-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022674716",
"https://doi.org/10.1007/s10040-001-0168-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/014311698215018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028852817"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01431160802270131",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029357465"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01431160600554983",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031082999"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12524-008-0033-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033170089",
"https://doi.org/10.1007/s12524-008-0033-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12524-008-0033-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033170089",
"https://doi.org/10.1007/s12524-008-0033-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/014311600209788",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037270548"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00254-005-1284-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038689124",
"https://doi.org/10.1007/s00254-005-1284-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00254-005-1284-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038689124",
"https://doi.org/10.1007/s00254-005-1284-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00254-005-1284-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038689124",
"https://doi.org/10.1007/s00254-005-1284-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.geomorph.2006.01.026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039313453"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1745-6584.2001.tb02345.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040217784"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1745-6584.1988.tb00407.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042172573"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1745-6584.1988.tb00407.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042172573"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01431160601086050",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042973831"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11269-006-9112-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042992295",
"https://doi.org/10.1007/s11269-006-9112-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01431160210144543",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045111008"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf03026236",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045121569",
"https://doi.org/10.1007/bf03026236"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf03026236",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045121569",
"https://doi.org/10.1007/bf03026236"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1144/gsl.qjeg.1987.020.04.02",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048472403"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s100400000069",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048589473",
"https://doi.org/10.1007/s100400000069"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1130/0016-7606(1945)56[275:edosat]2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049350317"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01431160600993397",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049585534"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02990737",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051108975",
"https://doi.org/10.1007/bf02990737"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02990737",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051108975",
"https://doi.org/10.1007/bf02990737"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s100400050029",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051114752",
"https://doi.org/10.1007/s100400050029"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10040-004-0378-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051746667",
"https://doi.org/10.1007/s10040-004-0378-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11269-008-9299-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053081446",
"https://doi.org/10.1007/s11269-008-9299-8"
],
"type": "CreativeWork"
}
],
"datePublished": "2013-11",
"datePublishedReg": "2013-11-01",
"description": "Groundwater is one of the most valuable natural resources, which is an immensely important and dependable source of water supply in all climatic regions over the world. Groundwater is in demand in areas where surface water supply is inadequate and nonsexist in the Chhatna Block, Bankura district and is located on the eastern slope of Chotonagpur Plateau, which is mapped on 73 I/15, 73 I/16 and 73 M/3, and falls between latitude 23\u00b010\u2032\u201323\u00b030\u2032N and longitude 86\u00b047\u2032\u201387\u00b002\u2032E. It represents plain land and gentle slope, which is responsible for infiltration and groundwater recharge. The groundwater in this region is confined within the fracture zones and weathered residuum. The present investigation is, therefore, undertaken to delineate potential zones for groundwater development with the help of a remote-sensing study. IRS\u2013LISS-III data along with other data sets, e.g., existing toposheets and field observation data, have been utilized to extract information on the hydrogeomorphic features which include valley fills, buried pediment moderate, buried pediment shallow and structural hills, lineament density contour and slope map of this hard rock terrain. The target of this study is to delineate the groundwater potential zones in Chhatna block, Bankura District, West Bengal. Satellite imagery, along with other data sets, has been utilized to extract information on the groundwater controlling features of this study area. Three features (hydrogeomorphology, slope, and lineaments) that influence groundwater occurrences were analyzed and integrated. All the information layers have been integrated through GIS analysis and the groundwater potential zones have been delineated. The weighted index overlay method has been followed to delineate groundwater potential zones. The results indicate that good to excellent groundwater potential zones are available in almost the entire block. The results show that there is good agreement between the predicted groundwater potential map and the existing groundwater borehole databases. The area is characterized by hard rock terrain\u2014still due to the presence of planation surface along valley fills; it became the prospective zone. The area has been categorized into four distinct zones: excellent, good, fair and poor. Excellent groundwater potential zones constitute 30\u201335 % of the total block area; good groundwater potential zones occupy a majority of the block, covering approximately 55\u201360 % and the fair potential zones occupy about 10\u201315 % of the total block. Poor potential zones occupy a very insignificant portion (less than 1 %).",
"genre": "research_article",
"id": "sg:pub.10.1007/s12665-012-1713-0",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1346438",
"issn": [
"1866-6280",
"1866-6299"
],
"name": "Environmental Earth Sciences",
"type": "Periodical"
},
{
"issueNumber": "5",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "70"
}
],
"name": "Delineation of groundwater potential zone in Chhatna Block, Bankura District, West Bengal, India using remote sensing and GIS techniques",
"pagination": "2115-2127",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"4651ad4ed95d452a7a6515b0c1bbd60bd3bc7781a398b040381ad75bd46d3d51"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s12665-012-1713-0"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1014759787"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s12665-012-1713-0",
"https://app.dimensions.ai/details/publication/pub.1014759787"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T20:49",
"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_8684_00000521.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs12665-012-1713-0"
}
]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/s12665-012-1713-0'
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/s12665-012-1713-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12665-012-1713-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12665-012-1713-0'
This table displays all metadata directly associated to this object as RDF triples.
190 TRIPLES
21 PREDICATES
62 URIs
19 LITERALS
7 BLANK NODES