Simulation of groundwater flow and environmental effects resulting from pumping View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-02

AUTHORS

Nguyen Cao Don, Hiroyuki Araki, Hiroyuki Yamanishi, Kenichi Koga

ABSTRACT

In coastal lowland plains, increased water demand on a limited water resource has resulted in declining groundwater levels, land subsidence and saltwater encroachment. In southwestern Kyushu, Japan, a sinking of the land surface due to over pumping of groundwater has long been recognized as a problem in the Shiroishi lowland plain. In this paper, an integrated model was established for the Shiroishi site using the modular finite difference groundwater flow model, MODFLOW, by McDonald and Harbaugh (1988) and the modular three-dimensional finite difference groundwater solute transport model, MT3D, by Zheng (1990) to simulate groundwater flow hydraulics, land subsidence, and solute transport in the alluvial lowland plain. Firstly, problems associated with these groundwater resources were discussed and then the established model was applied. The simulated results show that subsidence rapidly occurs throughout the area with the central prone in the center part of the plain. Moreover, seawater intrusion would be expected along the coast if the current rates of groundwater exploitation continue. Sensitivity analysis indicates that certain hydrogeologic parameters such as an inelastic storage coefficient of soil layers significantly contribute effects to both the rate and magnitude of consolidation. Monitoring the present salinization process is useful in determining possible threats to fresh groundwater supplies in the near future. In addition, the integrated numerical model is capable of simulating the regional trend of potentiometric levels, land subsidence and salt concentration. The study also suggests that during years of reduced surface-water availability, reduction of demand, increase in irrigation efficiency and the utilization of water exported from nearby basins are thought to be necessary for future development of the region to alleviate the effects due to pumping. More... »

PAGES

361-374

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00254-004-1158-1

DOI

http://dx.doi.org/10.1007/s00254-004-1158-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005496382


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": "Saga University", 
          "id": "https://www.grid.ac/institutes/grid.412339.e", 
          "name": [
            "Graduate School of Science and Engineering, Saga University, Honjo 1, 840-8502, Saga-shi, Saga, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Don", 
        "givenName": "Nguyen Cao", 
        "id": "sg:person.07747741745.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07747741745.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saga University", 
          "id": "https://www.grid.ac/institutes/grid.412339.e", 
          "name": [
            "Institute of Lowland Technology, Saga University, Honjo 1, 840\u20138502, Saga-shi, Saga, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Araki", 
        "givenName": "Hiroyuki", 
        "id": "sg:person.011550336221.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011550336221.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saga University", 
          "id": "https://www.grid.ac/institutes/grid.412339.e", 
          "name": [
            "Institute of Lowland Technology, Saga University, Honjo 1, 840\u20138502, Saga-shi, Saga, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamanishi", 
        "givenName": "Hiroyuki", 
        "id": "sg:person.010101256201.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010101256201.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saga University", 
          "id": "https://www.grid.ac/institutes/grid.412339.e", 
          "name": [
            "Dept. of Civil Eng., Saga University, Honjo 1, 840\u20138502, Saga-shi, Saga, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koga", 
        "givenName": "Kenichi", 
        "id": "sg:person.014252726675.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014252726675.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00254-003-0806-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000947126", 
          "https://doi.org/10.1007/s00254-003-0806-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1999wr900254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015647006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-58767-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017745364", 
          "https://doi.org/10.1007/978-3-642-58767-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-58767-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017745364", 
          "https://doi.org/10.1007/978-3-642-58767-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1694(95)02722-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026734832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(00)00379-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035016863"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-02", 
    "datePublishedReg": "2005-02-01", 
    "description": "In coastal lowland plains, increased water demand on a limited water resource has resulted in declining groundwater levels, land subsidence and saltwater encroachment. In southwestern Kyushu, Japan, a sinking of the land surface due to over pumping of groundwater has long been recognized as a problem in the Shiroishi lowland plain. In this paper, an integrated model was established for the Shiroishi site using the modular finite difference groundwater flow model, MODFLOW, by McDonald and Harbaugh (1988) and the modular three-dimensional finite difference groundwater solute transport model, MT3D, by Zheng (1990) to simulate groundwater flow hydraulics, land subsidence, and solute transport in the alluvial lowland plain. Firstly, problems associated with these groundwater resources were discussed and then the established model was applied. The simulated results show that subsidence rapidly occurs throughout the area with the central prone in the center part of the plain. Moreover, seawater intrusion would be expected along the coast if the current rates of groundwater exploitation continue. Sensitivity analysis indicates that certain hydrogeologic parameters such as an inelastic storage coefficient of soil layers significantly contribute effects to both the rate and magnitude of consolidation. Monitoring the present salinization process is useful in determining possible threats to fresh groundwater supplies in the near future. In addition, the integrated numerical model is capable of simulating the regional trend of potentiometric levels, land subsidence and salt concentration. The study also suggests that during years of reduced surface-water availability, reduction of demand, increase in irrigation efficiency and the utilization of water exported from nearby basins are thought to be necessary for future development of the region to alleviate the effects due to pumping.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00254-004-1158-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1313768", 
        "issn": [
          "0943-0105", 
          "1432-0495"
        ], 
        "name": "Environmental Geology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "47"
      }
    ], 
    "name": "Simulation of groundwater flow and environmental effects resulting from pumping", 
    "pagination": "361-374", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1a306e096e526706ad133631ba4ce646945119e30abc99ecf5b393b13ec01db0"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00254-004-1158-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005496382"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00254-004-1158-1", 
      "https://app.dimensions.ai/details/publication/pub.1005496382"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:14", 
    "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_8660_00000530.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00254-004-1158-1"
  }
]
 

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/s00254-004-1158-1'

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/s00254-004-1158-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00254-004-1158-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00254-004-1158-1'


 

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

101 TRIPLES      21 PREDICATES      32 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00254-004-1158-1 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N11bcaf85bd54409dbd7aa1cf7a16ac87
4 schema:citation sg:pub.10.1007/978-3-642-58767-2
5 sg:pub.10.1007/s00254-003-0806-1
6 https://doi.org/10.1016/0022-1694(95)02722-x
7 https://doi.org/10.1016/s0022-1694(00)00379-6
8 https://doi.org/10.1029/1999wr900254
9 schema:datePublished 2005-02
10 schema:datePublishedReg 2005-02-01
11 schema:description In coastal lowland plains, increased water demand on a limited water resource has resulted in declining groundwater levels, land subsidence and saltwater encroachment. In southwestern Kyushu, Japan, a sinking of the land surface due to over pumping of groundwater has long been recognized as a problem in the Shiroishi lowland plain. In this paper, an integrated model was established for the Shiroishi site using the modular finite difference groundwater flow model, MODFLOW, by McDonald and Harbaugh (1988) and the modular three-dimensional finite difference groundwater solute transport model, MT3D, by Zheng (1990) to simulate groundwater flow hydraulics, land subsidence, and solute transport in the alluvial lowland plain. Firstly, problems associated with these groundwater resources were discussed and then the established model was applied. The simulated results show that subsidence rapidly occurs throughout the area with the central prone in the center part of the plain. Moreover, seawater intrusion would be expected along the coast if the current rates of groundwater exploitation continue. Sensitivity analysis indicates that certain hydrogeologic parameters such as an inelastic storage coefficient of soil layers significantly contribute effects to both the rate and magnitude of consolidation. Monitoring the present salinization process is useful in determining possible threats to fresh groundwater supplies in the near future. In addition, the integrated numerical model is capable of simulating the regional trend of potentiometric levels, land subsidence and salt concentration. The study also suggests that during years of reduced surface-water availability, reduction of demand, increase in irrigation efficiency and the utilization of water exported from nearby basins are thought to be necessary for future development of the region to alleviate the effects due to pumping.
12 schema:genre research_article
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf Nd8a2fd163a73496cbb6a7f1e35db0375
16 Nf66a41b5af744b2f9407fba00e392834
17 sg:journal.1313768
18 schema:name Simulation of groundwater flow and environmental effects resulting from pumping
19 schema:pagination 361-374
20 schema:productId N6523563cc67a4c028470fc2522e846c9
21 N74055a469afd4c02a01c468b6aaac2e5
22 Nc890b93421884f07ab794d5d407ddd4e
23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005496382
24 https://doi.org/10.1007/s00254-004-1158-1
25 schema:sdDatePublished 2019-04-10T14:14
26 schema:sdLicense https://scigraph.springernature.com/explorer/license/
27 schema:sdPublisher Nefe0822e4ebc49cb8a9125258c97d43f
28 schema:url http://link.springer.com/10.1007/s00254-004-1158-1
29 sgo:license sg:explorer/license/
30 sgo:sdDataset articles
31 rdf:type schema:ScholarlyArticle
32 N05229976c7e446b781b807ce620979df rdf:first sg:person.014252726675.43
33 rdf:rest rdf:nil
34 N11bcaf85bd54409dbd7aa1cf7a16ac87 rdf:first sg:person.07747741745.07
35 rdf:rest N9afbf828295e405caeb56ac40664f61c
36 N5498f9a5b5924a58ab6863c7a07bb43e rdf:first sg:person.010101256201.40
37 rdf:rest N05229976c7e446b781b807ce620979df
38 N6523563cc67a4c028470fc2522e846c9 schema:name dimensions_id
39 schema:value pub.1005496382
40 rdf:type schema:PropertyValue
41 N74055a469afd4c02a01c468b6aaac2e5 schema:name readcube_id
42 schema:value 1a306e096e526706ad133631ba4ce646945119e30abc99ecf5b393b13ec01db0
43 rdf:type schema:PropertyValue
44 N9afbf828295e405caeb56ac40664f61c rdf:first sg:person.011550336221.34
45 rdf:rest N5498f9a5b5924a58ab6863c7a07bb43e
46 Nc890b93421884f07ab794d5d407ddd4e schema:name doi
47 schema:value 10.1007/s00254-004-1158-1
48 rdf:type schema:PropertyValue
49 Nd8a2fd163a73496cbb6a7f1e35db0375 schema:issueNumber 3
50 rdf:type schema:PublicationIssue
51 Nefe0822e4ebc49cb8a9125258c97d43f schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 Nf66a41b5af744b2f9407fba00e392834 schema:volumeNumber 47
54 rdf:type schema:PublicationVolume
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.1313768 schema:issn 0943-0105
62 1432-0495
63 schema:name Environmental Geology
64 rdf:type schema:Periodical
65 sg:person.010101256201.40 schema:affiliation https://www.grid.ac/institutes/grid.412339.e
66 schema:familyName Yamanishi
67 schema:givenName Hiroyuki
68 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010101256201.40
69 rdf:type schema:Person
70 sg:person.011550336221.34 schema:affiliation https://www.grid.ac/institutes/grid.412339.e
71 schema:familyName Araki
72 schema:givenName Hiroyuki
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011550336221.34
74 rdf:type schema:Person
75 sg:person.014252726675.43 schema:affiliation https://www.grid.ac/institutes/grid.412339.e
76 schema:familyName Koga
77 schema:givenName Kenichi
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014252726675.43
79 rdf:type schema:Person
80 sg:person.07747741745.07 schema:affiliation https://www.grid.ac/institutes/grid.412339.e
81 schema:familyName Don
82 schema:givenName Nguyen Cao
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07747741745.07
84 rdf:type schema:Person
85 sg:pub.10.1007/978-3-642-58767-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017745364
86 https://doi.org/10.1007/978-3-642-58767-2
87 rdf:type schema:CreativeWork
88 sg:pub.10.1007/s00254-003-0806-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000947126
89 https://doi.org/10.1007/s00254-003-0806-1
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1016/0022-1694(95)02722-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026734832
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/s0022-1694(00)00379-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035016863
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1029/1999wr900254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015647006
96 rdf:type schema:CreativeWork
97 https://www.grid.ac/institutes/grid.412339.e schema:alternateName Saga University
98 schema:name Dept. of Civil Eng., Saga University, Honjo 1, 840–8502, Saga-shi, Saga, Japan
99 Graduate School of Science and Engineering, Saga University, Honjo 1, 840-8502, Saga-shi, Saga, Japan
100 Institute of Lowland Technology, Saga University, Honjo 1, 840–8502, Saga-shi, Saga, Japan
101 rdf:type schema:Organization
 




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


...