Identification of groundwater prospective zones using irs-id liss iii and pump test methods View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-12

AUTHORS

Girish Gopinath, P. Seralathan

ABSTRACT

The role of hydrogeomorphological units and lineaments in the storage of groundwater from the Muvattupuzha river basin has been investigated using IRS ID LISS III data. Other than the usual water bodies such as river course, reservoirs and ponds, the major hydrogeomorphological units identified in this basin in the descending order of their groundwater potential are: valley fills, moderately dissected plateau, pediments, residual mounts, residual mount complex, linear ridges, residual hills and structural hills. Majority of the lineaments trends in NW-SE and WNW-ESE directions. Even though the eastern part of the basin is characterised by moderate to high lineament density, the above area is found to be poor to moderate groundwater prospect zone because of high gradient and structural hills. The pump test analyses of dug wells from different hydrogeomorphic units also confirm that valley fills are the most promising unit for groundwater prospecting than the rest. More... »

PAGES

329

References to SciGraph publications

  • 1991-09. Geomorphological units, their geohydrological characteristic and vertical electrical sounding response near Munger, Bihar in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 1998-12. Groundwater assessment through hydrogeomorphological and geophysical survey — A case study in Godavari sub-watershed, Giridih, Bihar in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 1997-12. groundwater prospects of shahbad tehsil, baran district, eastern rajasthan: a remote sensing approach in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 1997-12. Hydrogeomorphological mapping in ground water exploration using remotely sensed data — a case study in keonjhar district, orissa in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 1999-03. Hydrogeomorphological mapping in assessing ground water by using remote sensing data — A case study in lehra gaga block, sangrur district, Punjab in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 2003-06. Geomorphology and land use pattern of visakhapatnam urban - industrial area in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 2002-09. Evaluation of groundwater potential zones using Remote Sensing data in upper Vaigai river basin, Tamil Nadu, India in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 2000-12. Groundwater Prospect Zoning Using Remote Sensing and Geographical Information System: A Case Study in Dala-Renukoot Area, Sonbhadra District, Uttar Pradesh in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 2001-09. Hydromorphogeology and Remote Sensing applications for groundwater exploration in agnigundala mineralised belt, Andhra Pradesh, India in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 2001-03. Identification of Groundwater Potential Zones Using Remote Sensing Techniques In and Around Guntur Town, Andhra Pradesh, India in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf03030858

    DOI

    http://dx.doi.org/10.1007/bf03030858

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1020445137


    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/2008/04", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Earth Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Marine Geology and Geophysics, Cochin University of Science and Technology, 682 016, Cochin, India", 
              "id": "http://www.grid.ac/institutes/grid.411771.5", 
              "name": [
                "Department of Marine Geology and Geophysics, Cochin University of Science and Technology, 682 016, Cochin, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gopinath", 
            "givenName": "Girish", 
            "id": "sg:person.010300231111.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010300231111.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Marine Geology and Geophysics, Cochin University of Science and Technology, 682 016, Cochin, India", 
              "id": "http://www.grid.ac/institutes/grid.411771.5", 
              "name": [
                "Department of Marine Geology and Geophysics, Cochin University of Science and Technology, 682 016, Cochin, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Seralathan", 
            "givenName": "P.", 
            "id": "sg:person.01125214461.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125214461.72"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf03019366", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045009021", 
              "https://doi.org/10.1007/bf03019366"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03030772", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000324945", 
              "https://doi.org/10.1007/bf03030772"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02990773", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031043898", 
              "https://doi.org/10.1007/bf02990773"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02989928", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030081466", 
              "https://doi.org/10.1007/bf02989928"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03019365", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017291458", 
              "https://doi.org/10.1007/bf03019365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02990815", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022414657", 
              "https://doi.org/10.1007/bf02990815"
            ], 
            "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/bf03030779", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001948582", 
              "https://doi.org/10.1007/bf03030779"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02990644", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052676262", 
              "https://doi.org/10.1007/bf02990644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02990796", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022301449", 
              "https://doi.org/10.1007/bf02990796"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2004-12", 
        "datePublishedReg": "2004-12-01", 
        "description": "The role of hydrogeomorphological units and lineaments in the storage of groundwater from the Muvattupuzha river basin has been investigated using IRS ID LISS III data. Other than the usual water bodies such as river course, reservoirs and ponds, the major hydrogeomorphological units identified in this basin in the descending order of their groundwater potential are: valley fills, moderately dissected plateau, pediments, residual mounts, residual mount complex, linear ridges, residual hills and structural hills. Majority of the lineaments trends in NW-SE and WNW-ESE directions. Even though the eastern part of the basin is characterised by moderate to high lineament density, the above area is found to be poor to moderate groundwater prospect zone because of high gradient and structural hills. The pump test analyses of dug wells from different hydrogeomorphic units also confirm that valley fills are the most promising unit for groundwater prospecting than the rest.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/bf03030858", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136874", 
            "issn": [
              "0255-660X", 
              "0974-3006"
            ], 
            "name": "Journal of the Indian Society of Remote Sensing", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "32"
          }
        ], 
        "keywords": [
          "hydrogeomorphological units", 
          "structural hills", 
          "WNW-ESE direction", 
          "groundwater prospect zones", 
          "groundwater prospective zones", 
          "storage of groundwater", 
          "NW-SE", 
          "Muvattupuzha river basin", 
          "high lineament density", 
          "LISS III data", 
          "prospect zones", 
          "valley fill", 
          "prospective zones", 
          "groundwater potential", 
          "residual hills", 
          "lineament trends", 
          "lineament density", 
          "linear ridges", 
          "river course", 
          "eastern part", 
          "River Basin", 
          "hydrogeomorphic units", 
          "basin", 
          "water bodies", 
          "groundwater", 
          "Hill", 
          "high gradients", 
          "zone", 
          "lineaments", 
          "pediments", 
          "above areas", 
          "ridge", 
          "Valley", 
          "fill", 
          "plateau", 
          "reservoir", 
          "wells", 
          "ponds", 
          "promising unit", 
          "units", 
          "gradient", 
          "trends", 
          "area", 
          "part", 
          "test analysis", 
          "data", 
          "direction", 
          "storage", 
          "body", 
          "complexes", 
          "analysis", 
          "order", 
          "rest", 
          "potential", 
          "density", 
          "majority", 
          "mount", 
          "role", 
          "identification", 
          "method", 
          "test method", 
          "course", 
          "IRS ID LISS III data", 
          "ID LISS III data", 
          "III data", 
          "usual water bodies", 
          "major hydrogeomorphological units", 
          "residual mounts", 
          "residual mount complex", 
          "mount complex", 
          "pump test analyses", 
          "different hydrogeomorphic units", 
          "irs-id liss iii", 
          "liss iii"
        ], 
        "name": "Identification of groundwater prospective zones using irs-id liss iii and pump test methods", 
        "pagination": "329", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1020445137"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf03030858"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf03030858", 
          "https://app.dimensions.ai/details/publication/pub.1020445137"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-12-01T19:15", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_380.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/bf03030858"
      }
    ]
     

    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/bf03030858'

    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/bf03030858'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf03030858'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf03030858'


     

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

    179 TRIPLES      22 PREDICATES      110 URIs      92 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf03030858 schema:about anzsrc-for:04
    2 anzsrc-for:0406
    3 schema:author N0db80496da084e5197acbc7d2f8255e0
    4 schema:citation sg:pub.10.1007/bf02989916
    5 sg:pub.10.1007/bf02989928
    6 sg:pub.10.1007/bf02990644
    7 sg:pub.10.1007/bf02990773
    8 sg:pub.10.1007/bf02990796
    9 sg:pub.10.1007/bf02990815
    10 sg:pub.10.1007/bf03019365
    11 sg:pub.10.1007/bf03019366
    12 sg:pub.10.1007/bf03030772
    13 sg:pub.10.1007/bf03030779
    14 schema:datePublished 2004-12
    15 schema:datePublishedReg 2004-12-01
    16 schema:description The role of hydrogeomorphological units and lineaments in the storage of groundwater from the Muvattupuzha river basin has been investigated using IRS ID LISS III data. Other than the usual water bodies such as river course, reservoirs and ponds, the major hydrogeomorphological units identified in this basin in the descending order of their groundwater potential are: valley fills, moderately dissected plateau, pediments, residual mounts, residual mount complex, linear ridges, residual hills and structural hills. Majority of the lineaments trends in NW-SE and WNW-ESE directions. Even though the eastern part of the basin is characterised by moderate to high lineament density, the above area is found to be poor to moderate groundwater prospect zone because of high gradient and structural hills. The pump test analyses of dug wells from different hydrogeomorphic units also confirm that valley fills are the most promising unit for groundwater prospecting than the rest.
    17 schema:genre article
    18 schema:inLanguage en
    19 schema:isAccessibleForFree false
    20 schema:isPartOf N5b8b16cd489143b69354a8c02e0847f8
    21 Nf9d8dad4a61b4c328c37bf7c78658d67
    22 sg:journal.1136874
    23 schema:keywords Hill
    24 ID LISS III data
    25 III data
    26 IRS ID LISS III data
    27 LISS III data
    28 Muvattupuzha river basin
    29 NW-SE
    30 River Basin
    31 Valley
    32 WNW-ESE direction
    33 above areas
    34 analysis
    35 area
    36 basin
    37 body
    38 complexes
    39 course
    40 data
    41 density
    42 different hydrogeomorphic units
    43 direction
    44 eastern part
    45 fill
    46 gradient
    47 groundwater
    48 groundwater potential
    49 groundwater prospect zones
    50 groundwater prospective zones
    51 high gradients
    52 high lineament density
    53 hydrogeomorphic units
    54 hydrogeomorphological units
    55 identification
    56 irs-id liss iii
    57 lineament density
    58 lineament trends
    59 lineaments
    60 linear ridges
    61 liss iii
    62 major hydrogeomorphological units
    63 majority
    64 method
    65 mount
    66 mount complex
    67 order
    68 part
    69 pediments
    70 plateau
    71 ponds
    72 potential
    73 promising unit
    74 prospect zones
    75 prospective zones
    76 pump test analyses
    77 reservoir
    78 residual hills
    79 residual mount complex
    80 residual mounts
    81 rest
    82 ridge
    83 river course
    84 role
    85 storage
    86 storage of groundwater
    87 structural hills
    88 test analysis
    89 test method
    90 trends
    91 units
    92 usual water bodies
    93 valley fill
    94 water bodies
    95 wells
    96 zone
    97 schema:name Identification of groundwater prospective zones using irs-id liss iii and pump test methods
    98 schema:pagination 329
    99 schema:productId N97ffb48fa87642a8af0014f46ae58d29
    100 Nff67a926bce84f4cad7e472a59e01f29
    101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020445137
    102 https://doi.org/10.1007/bf03030858
    103 schema:sdDatePublished 2021-12-01T19:15
    104 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    105 schema:sdPublisher Nf2641e99d96a41e08da2d688a78e9a1a
    106 schema:url https://doi.org/10.1007/bf03030858
    107 sgo:license sg:explorer/license/
    108 sgo:sdDataset articles
    109 rdf:type schema:ScholarlyArticle
    110 N0db80496da084e5197acbc7d2f8255e0 rdf:first sg:person.010300231111.32
    111 rdf:rest Nb004c88a999544e1b03fb5f571c793d8
    112 N5b8b16cd489143b69354a8c02e0847f8 schema:volumeNumber 32
    113 rdf:type schema:PublicationVolume
    114 N97ffb48fa87642a8af0014f46ae58d29 schema:name dimensions_id
    115 schema:value pub.1020445137
    116 rdf:type schema:PropertyValue
    117 Nb004c88a999544e1b03fb5f571c793d8 rdf:first sg:person.01125214461.72
    118 rdf:rest rdf:nil
    119 Nf2641e99d96a41e08da2d688a78e9a1a schema:name Springer Nature - SN SciGraph project
    120 rdf:type schema:Organization
    121 Nf9d8dad4a61b4c328c37bf7c78658d67 schema:issueNumber 4
    122 rdf:type schema:PublicationIssue
    123 Nff67a926bce84f4cad7e472a59e01f29 schema:name doi
    124 schema:value 10.1007/bf03030858
    125 rdf:type schema:PropertyValue
    126 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    127 schema:name Earth Sciences
    128 rdf:type schema:DefinedTerm
    129 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
    130 schema:name Physical Geography and Environmental Geoscience
    131 rdf:type schema:DefinedTerm
    132 sg:journal.1136874 schema:issn 0255-660X
    133 0974-3006
    134 schema:name Journal of the Indian Society of Remote Sensing
    135 schema:publisher Springer Nature
    136 rdf:type schema:Periodical
    137 sg:person.010300231111.32 schema:affiliation grid-institutes:grid.411771.5
    138 schema:familyName Gopinath
    139 schema:givenName Girish
    140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010300231111.32
    141 rdf:type schema:Person
    142 sg:person.01125214461.72 schema:affiliation grid-institutes:grid.411771.5
    143 schema:familyName Seralathan
    144 schema:givenName P.
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125214461.72
    146 rdf:type schema:Person
    147 sg:pub.10.1007/bf02989916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021608234
    148 https://doi.org/10.1007/bf02989916
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/bf02989928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030081466
    151 https://doi.org/10.1007/bf02989928
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/bf02990644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052676262
    154 https://doi.org/10.1007/bf02990644
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/bf02990773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031043898
    157 https://doi.org/10.1007/bf02990773
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/bf02990796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022301449
    160 https://doi.org/10.1007/bf02990796
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/bf02990815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022414657
    163 https://doi.org/10.1007/bf02990815
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/bf03019365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017291458
    166 https://doi.org/10.1007/bf03019365
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1007/bf03019366 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045009021
    169 https://doi.org/10.1007/bf03019366
    170 rdf:type schema:CreativeWork
    171 sg:pub.10.1007/bf03030772 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000324945
    172 https://doi.org/10.1007/bf03030772
    173 rdf:type schema:CreativeWork
    174 sg:pub.10.1007/bf03030779 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001948582
    175 https://doi.org/10.1007/bf03030779
    176 rdf:type schema:CreativeWork
    177 grid-institutes:grid.411771.5 schema:alternateName Department of Marine Geology and Geophysics, Cochin University of Science and Technology, 682 016, Cochin, India
    178 schema:name Department of Marine Geology and Geophysics, Cochin University of Science and Technology, 682 016, Cochin, India
    179 rdf:type schema:Organization
     




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


    ...