Groundwater-level assessment and prediction using realistic pumping and recharge rates for semi-arid coastal regions: a case study of Visakhapatnam city, ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Ch. Suryanarayana, Vazeer Mahammood

ABSTRACT

Water scarcity in urban areas is a common problem in many cities of India, and Visakhapatnam, a fast growing industrial city on the east coast of India, is no exception. Increasing urban population, industrial expansion and shrinking surface-water sources have widened the gap between the demand and supply, resulting in groundwater depletion and saline water intrusion along the coastal region. MODFLOW is a widely used numerical groundwater flow model but requires realistic estimation of field inputs in order to contribute effectively to recommendations for proper management actions. The present study focuses on computing the spatial and temporal variations of model inputs such as pumping and recharge rates using the field data collected from various organizations. The developed PMWIN MODFLOW model provides insight into the present and future trends in the variation of groundwater levels. Observation wells data are used in the model calibration to fix the aquifer parameters through the parameter estimation algorithm PEST. Models are performed for four projected scenarios with different rates of pumping and recharge values. Results indicate the importance of improving the recharge capability of potential areas, to sustain the aquifer’s capacity to cope with stresses on groundwater resources. The model results are useful to fix optimum pumping limits in the study area for sustainable groundwater management and will help to prevent disastrous impacts on groundwater potential in the future. More... »

PAGES

1-24

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10040-018-1851-x

DOI

http://dx.doi.org/10.1007/s10040-018-1851-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106473215


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/2008/0406", 
        "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": "Jawaharlal Nehru Technological University, Kakinada", 
          "id": "https://www.grid.ac/institutes/grid.411829.7", 
          "name": [
            "Gayatri Vidya Parishad College of Engineering, 530048, Visakhapatnam, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suryanarayana", 
        "givenName": "Ch.", 
        "id": "sg:person.016314067363.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016314067363.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Andhra University", 
          "id": "https://www.grid.ac/institutes/grid.411381.e", 
          "name": [
            "Andhra University College of Engineering, 530003, Visakhapatnam, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mahammood", 
        "givenName": "Vazeer", 
        "id": "sg:person.013672503605.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013672503605.97"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.wri.2014.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007184638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12594-013-0113-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020977903", 
          "https://doi.org/10.1007/s12594-013-0113-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10040-006-0080-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021925310", 
          "https://doi.org/10.1007/s10040-006-0080-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4236/jwarp.2011.32010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025947130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11769-006-0229-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026712333", 
          "https://doi.org/10.1007/s11769-006-0229-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10040-007-0197-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028844441", 
          "https://doi.org/10.1007/s10040-007-0197-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12040-009-0034-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030127768", 
          "https://doi.org/10.1007/s12040-009-0034-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12040-009-0034-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030127768", 
          "https://doi.org/10.1007/s12040-009-0034-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2016.07.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036554823"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00254-007-1095-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048767904", 
          "https://doi.org/10.1007/s00254-007-1095-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00254-007-1095-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048767904", 
          "https://doi.org/10.1007/s00254-007-1095-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-9437(2003)129:1(53)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057594542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.13031/2013.13109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064890419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.9734/bjecc/2013/2673", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074130750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078308316", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/w9030161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083863679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gsf.2016.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083903829"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "Water scarcity in urban areas is a common problem in many cities of India, and Visakhapatnam, a fast growing industrial city on the east coast of India, is no exception. Increasing urban population, industrial expansion and shrinking surface-water sources have widened the gap between the demand and supply, resulting in groundwater depletion and saline water intrusion along the coastal region. MODFLOW is a widely used numerical groundwater flow model but requires realistic estimation of field inputs in order to contribute effectively to recommendations for proper management actions. The present study focuses on computing the spatial and temporal variations of model inputs such as pumping and recharge rates using the field data collected from various organizations. The developed PMWIN MODFLOW model provides insight into the present and future trends in the variation of groundwater levels. Observation wells data are used in the model calibration to fix the aquifer parameters through the parameter estimation algorithm PEST. Models are performed for four projected scenarios with different rates of pumping and recharge values. Results indicate the importance of improving the recharge capability of potential areas, to sustain the aquifer\u2019s capacity to cope with stresses on groundwater resources. The model results are useful to fix optimum pumping limits in the study area for sustainable groundwater management and will help to prevent disastrous impacts on groundwater potential in the future.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10040-018-1851-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1047968", 
        "issn": [
          "1431-2174", 
          "1435-0157"
        ], 
        "name": "Hydrogeology Journal", 
        "type": "Periodical"
      }
    ], 
    "name": "Groundwater-level assessment and prediction using realistic pumping and recharge rates for semi-arid coastal regions: a case study of Visakhapatnam city, India", 
    "pagination": "1-24", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ee47d8533b96c196f8dae5530484a30c28c815ebff448edf73639f64748b434c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10040-018-1851-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106473215"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10040-018-1851-x", 
      "https://app.dimensions.ai/details/publication/pub.1106473215"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:11", 
    "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_8681_00000605.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10040-018-1851-x"
  }
]
 

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/s10040-018-1851-x'

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/s10040-018-1851-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10040-018-1851-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10040-018-1851-x'


 

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

115 TRIPLES      21 PREDICATES      40 URIs      17 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10040-018-1851-x schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N9087d878a9dc47f7ae0f7915bcafe0c9
4 schema:citation sg:pub.10.1007/s00254-007-1095-x
5 sg:pub.10.1007/s10040-006-0080-x
6 sg:pub.10.1007/s10040-007-0197-6
7 sg:pub.10.1007/s11769-006-0229-5
8 sg:pub.10.1007/s12040-009-0034-5
9 sg:pub.10.1007/s12594-013-0113-8
10 https://app.dimensions.ai/details/publication/pub.1078308316
11 https://doi.org/10.1016/j.gsf.2016.11.017
12 https://doi.org/10.1016/j.jhydrol.2016.07.029
13 https://doi.org/10.1016/j.wri.2014.10.002
14 https://doi.org/10.1061/(asce)0733-9437(2003)129:1(53)
15 https://doi.org/10.13031/2013.13109
16 https://doi.org/10.3390/w9030161
17 https://doi.org/10.4236/jwarp.2011.32010
18 https://doi.org/10.9734/bjecc/2013/2673
19 schema:datePublished 2019-02
20 schema:datePublishedReg 2019-02-01
21 schema:description Water scarcity in urban areas is a common problem in many cities of India, and Visakhapatnam, a fast growing industrial city on the east coast of India, is no exception. Increasing urban population, industrial expansion and shrinking surface-water sources have widened the gap between the demand and supply, resulting in groundwater depletion and saline water intrusion along the coastal region. MODFLOW is a widely used numerical groundwater flow model but requires realistic estimation of field inputs in order to contribute effectively to recommendations for proper management actions. The present study focuses on computing the spatial and temporal variations of model inputs such as pumping and recharge rates using the field data collected from various organizations. The developed PMWIN MODFLOW model provides insight into the present and future trends in the variation of groundwater levels. Observation wells data are used in the model calibration to fix the aquifer parameters through the parameter estimation algorithm PEST. Models are performed for four projected scenarios with different rates of pumping and recharge values. Results indicate the importance of improving the recharge capability of potential areas, to sustain the aquifer’s capacity to cope with stresses on groundwater resources. The model results are useful to fix optimum pumping limits in the study area for sustainable groundwater management and will help to prevent disastrous impacts on groundwater potential in the future.
22 schema:genre research_article
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf sg:journal.1047968
26 schema:name Groundwater-level assessment and prediction using realistic pumping and recharge rates for semi-arid coastal regions: a case study of Visakhapatnam city, India
27 schema:pagination 1-24
28 schema:productId N17d6600749b7442ea2a381781e6752ec
29 N8df6fb8c3c9a4576b1c90801475fcc6f
30 Na77e10b69e7144f6a3635c2777073478
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106473215
32 https://doi.org/10.1007/s10040-018-1851-x
33 schema:sdDatePublished 2019-04-10T20:11
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher Nfbf66d4246694160969f42be3e122777
36 schema:url http://link.springer.com/10.1007/s10040-018-1851-x
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N041f0e242cfe498e98ef17518b5ad974 rdf:first sg:person.013672503605.97
41 rdf:rest rdf:nil
42 N17d6600749b7442ea2a381781e6752ec schema:name doi
43 schema:value 10.1007/s10040-018-1851-x
44 rdf:type schema:PropertyValue
45 N8df6fb8c3c9a4576b1c90801475fcc6f schema:name readcube_id
46 schema:value ee47d8533b96c196f8dae5530484a30c28c815ebff448edf73639f64748b434c
47 rdf:type schema:PropertyValue
48 N9087d878a9dc47f7ae0f7915bcafe0c9 rdf:first sg:person.016314067363.66
49 rdf:rest N041f0e242cfe498e98ef17518b5ad974
50 Na77e10b69e7144f6a3635c2777073478 schema:name dimensions_id
51 schema:value pub.1106473215
52 rdf:type schema:PropertyValue
53 Nfbf66d4246694160969f42be3e122777 schema:name Springer Nature - SN SciGraph project
54 rdf:type schema:Organization
55 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
56 schema:name Earth Sciences
57 rdf:type schema:DefinedTerm
58 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
59 schema:name Physical Geography and Environmental Geoscience
60 rdf:type schema:DefinedTerm
61 sg:journal.1047968 schema:issn 1431-2174
62 1435-0157
63 schema:name Hydrogeology Journal
64 rdf:type schema:Periodical
65 sg:person.013672503605.97 schema:affiliation https://www.grid.ac/institutes/grid.411381.e
66 schema:familyName Mahammood
67 schema:givenName Vazeer
68 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013672503605.97
69 rdf:type schema:Person
70 sg:person.016314067363.66 schema:affiliation https://www.grid.ac/institutes/grid.411829.7
71 schema:familyName Suryanarayana
72 schema:givenName Ch.
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016314067363.66
74 rdf:type schema:Person
75 sg:pub.10.1007/s00254-007-1095-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048767904
76 https://doi.org/10.1007/s00254-007-1095-x
77 rdf:type schema:CreativeWork
78 sg:pub.10.1007/s10040-006-0080-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021925310
79 https://doi.org/10.1007/s10040-006-0080-x
80 rdf:type schema:CreativeWork
81 sg:pub.10.1007/s10040-007-0197-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028844441
82 https://doi.org/10.1007/s10040-007-0197-6
83 rdf:type schema:CreativeWork
84 sg:pub.10.1007/s11769-006-0229-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026712333
85 https://doi.org/10.1007/s11769-006-0229-5
86 rdf:type schema:CreativeWork
87 sg:pub.10.1007/s12040-009-0034-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030127768
88 https://doi.org/10.1007/s12040-009-0034-5
89 rdf:type schema:CreativeWork
90 sg:pub.10.1007/s12594-013-0113-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020977903
91 https://doi.org/10.1007/s12594-013-0113-8
92 rdf:type schema:CreativeWork
93 https://app.dimensions.ai/details/publication/pub.1078308316 schema:CreativeWork
94 https://doi.org/10.1016/j.gsf.2016.11.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083903829
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/j.jhydrol.2016.07.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036554823
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/j.wri.2014.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007184638
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1061/(asce)0733-9437(2003)129:1(53) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057594542
101 rdf:type schema:CreativeWork
102 https://doi.org/10.13031/2013.13109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064890419
103 rdf:type schema:CreativeWork
104 https://doi.org/10.3390/w9030161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083863679
105 rdf:type schema:CreativeWork
106 https://doi.org/10.4236/jwarp.2011.32010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025947130
107 rdf:type schema:CreativeWork
108 https://doi.org/10.9734/bjecc/2013/2673 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074130750
109 rdf:type schema:CreativeWork
110 https://www.grid.ac/institutes/grid.411381.e schema:alternateName Andhra University
111 schema:name Andhra University College of Engineering, 530003, Visakhapatnam, India
112 rdf:type schema:Organization
113 https://www.grid.ac/institutes/grid.411829.7 schema:alternateName Jawaharlal Nehru Technological University, Kakinada
114 schema:name Gayatri Vidya Parishad College of Engineering, 530048, Visakhapatnam, India
115 rdf:type schema:Organization
 




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


...