Numerical modeling of liquid-waste infiltration from storage facilities into surrounding groundwater and surface-water bodies View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-12

AUTHORS

T. P. Lyubimova, A. P. Lepikhin, Ya. N. Parshakova, K. B. Tsiberkin

ABSTRACT

This study focuses on the infiltration of saturated brine from liquid-waste storage facilities into the surrounding groundwater and surface-water bodies. The storage facilities are situated at the Verkhnekamsk Potassium and Magnesium Salt Deposit (Perm krai, Russian Federation); they store highly mineralized brine of potassium, sodium, and magnesium chlorides. An analytical solution of a one-dimensional equation of contaminant transport by a homogeneous steady-state groundwater flow is used to estimate the time it takes the contaminant to travel from the storage facilities to the nearest surface water body, as well as to evaluate the formation time of a stationary concentration profile, with contaminant adsorption in the porous matrix either neglected or taken into account. The contaminant concentration at the point of brine entry into the surface water body is calculated. The ANSYS Fluent software package is used for direct 3D simulation of brine infiltration into the surrounding medium. The simulation results revealed different stages of contaminant propagation in the porous medium. The contaminant was found to spread over a wide area with an almost uniform high brine concentration close to the saturation value. The contaminant reaches the nearest riverbed approximately 20 days after the start of infiltration. The estimates of the time required for the contaminant front to reach the surface water body obtained by three-dimensional simulation agree with the analytical estimates derived from a one-dimensional model. The proposed system of physical models adequately describes the hydrodynamic processes accompanying the operation of large storage facilities and can be used to predict contaminant-front propagation in the groundwater near storage facilities. More... »

PAGES

1208-1216

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0021894416070099

DOI

http://dx.doi.org/10.1134/s0021894416070099

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084222819


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/2008/0907", 
        "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": "Institute of Continuous Media Mechanics", 
          "id": "https://www.grid.ac/institutes/grid.465304.0", 
          "name": [
            "Institute of Continuous Media Mechanics, Ural Branch, Russian Academy of Sciences, Perm, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lyubimova", 
        "givenName": "T. P.", 
        "id": "sg:person.0732215416.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732215416.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mining Institute of the Ural Branch of the Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.473900.9", 
          "name": [
            "Mining Institute, Ural Branch, Russian Academy of Sciences, Perm, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lepikhin", 
        "givenName": "A. P.", 
        "id": "sg:person.015673725211.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015673725211.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Continuous Media Mechanics", 
          "id": "https://www.grid.ac/institutes/grid.465304.0", 
          "name": [
            "Institute of Continuous Media Mechanics, Ural Branch, Russian Academy of Sciences, Perm, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parshakova", 
        "givenName": "Ya. N.", 
        "id": "sg:person.016025003117.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016025003117.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Perm State University", 
          "id": "https://www.grid.ac/institutes/grid.77611.36", 
          "name": [
            "Institute of Continuous Media Mechanics, Ural Branch, Russian Academy of Sciences, Perm, Russia", 
            "Perm State University, Perm, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsiberkin", 
        "givenName": "K. B.", 
        "id": "sg:person.01004626014.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004626014.63"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-94-009-0345-6_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000173746", 
          "https://doi.org/10.1007/978-94-009-0345-6_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-0345-6_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000173746", 
          "https://doi.org/10.1007/978-94-009-0345-6_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nag.1610170702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002940852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nag.1610170702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002940852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11270-008-9915-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006023339", 
          "https://doi.org/10.1007/s11270-008-9915-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-8928(60)90107-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011639644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-8928(60)90107-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011639644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1032750312", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-74382-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032750312", 
          "https://doi.org/10.1007/978-3-540-74382-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-74382-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032750312", 
          "https://doi.org/10.1007/978-3-540-74382-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1062739148020220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034678807", 
          "https://doi.org/10.1134/s1062739148020220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1038012617", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4614-5541-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038012617", 
          "https://doi.org/10.1007/978-1-4614-5541-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4614-5541-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038012617", 
          "https://doi.org/10.1007/978-1-4614-5541-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1049385763", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1049385763", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01061082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053093227", 
          "https://doi.org/10.1007/bf01061082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7242/1999-6691/2010.3.4.37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073671778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1201/9781420035322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095905870"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "This study focuses on the infiltration of saturated brine from liquid-waste storage facilities into the surrounding groundwater and surface-water bodies. The storage facilities are situated at the Verkhnekamsk Potassium and Magnesium Salt Deposit (Perm krai, Russian Federation); they store highly mineralized brine of potassium, sodium, and magnesium chlorides. An analytical solution of a one-dimensional equation of contaminant transport by a homogeneous steady-state groundwater flow is used to estimate the time it takes the contaminant to travel from the storage facilities to the nearest surface water body, as well as to evaluate the formation time of a stationary concentration profile, with contaminant adsorption in the porous matrix either neglected or taken into account. The contaminant concentration at the point of brine entry into the surface water body is calculated. The ANSYS Fluent software package is used for direct 3D simulation of brine infiltration into the surrounding medium. The simulation results revealed different stages of contaminant propagation in the porous medium. The contaminant was found to spread over a wide area with an almost uniform high brine concentration close to the saturation value. The contaminant reaches the nearest riverbed approximately 20 days after the start of infiltration. The estimates of the time required for the contaminant front to reach the surface water body obtained by three-dimensional simulation agree with the analytical estimates derived from a one-dimensional model. The proposed system of physical models adequately describes the hydrodynamic processes accompanying the operation of large storage facilities and can be used to predict contaminant-front propagation in the groundwater near storage facilities.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0021894416070099", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136652", 
        "issn": [
          "0021-8944", 
          "1573-8620"
        ], 
        "name": "Journal of Applied Mechanics and Technical Physics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "57"
      }
    ], 
    "name": "Numerical modeling of liquid-waste infiltration from storage facilities into surrounding groundwater and surface-water bodies", 
    "pagination": "1208-1216", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5b070e64ed01aecb4ee2688c3f9fd82eeb7751b754525f35402c05a36875157a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0021894416070099"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084222819"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0021894416070099", 
      "https://app.dimensions.ai/details/publication/pub.1084222819"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:27", 
    "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_8672_00000492.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S0021894416070099"
  }
]
 

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.10.1134/s0021894416070099'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s0021894416070099'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0021894416070099'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0021894416070099'


 

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

131 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0021894416070099 schema:about anzsrc-for:09
2 anzsrc-for:0907
3 schema:author N7a45512cc00f4a17a6cbe129a01deba4
4 schema:citation sg:pub.10.1007/978-1-4614-5541-7
5 sg:pub.10.1007/978-3-540-74382-8
6 sg:pub.10.1007/978-94-009-0345-6_8
7 sg:pub.10.1007/bf01061082
8 sg:pub.10.1007/s11270-008-9915-5
9 sg:pub.10.1134/s1062739148020220
10 https://app.dimensions.ai/details/publication/pub.1032750312
11 https://app.dimensions.ai/details/publication/pub.1038012617
12 https://app.dimensions.ai/details/publication/pub.1049385763
13 https://doi.org/10.1002/nag.1610170702
14 https://doi.org/10.1016/0021-8928(60)90107-6
15 https://doi.org/10.1201/9781420035322
16 https://doi.org/10.7242/1999-6691/2010.3.4.37
17 schema:datePublished 2016-12
18 schema:datePublishedReg 2016-12-01
19 schema:description This study focuses on the infiltration of saturated brine from liquid-waste storage facilities into the surrounding groundwater and surface-water bodies. The storage facilities are situated at the Verkhnekamsk Potassium and Magnesium Salt Deposit (Perm krai, Russian Federation); they store highly mineralized brine of potassium, sodium, and magnesium chlorides. An analytical solution of a one-dimensional equation of contaminant transport by a homogeneous steady-state groundwater flow is used to estimate the time it takes the contaminant to travel from the storage facilities to the nearest surface water body, as well as to evaluate the formation time of a stationary concentration profile, with contaminant adsorption in the porous matrix either neglected or taken into account. The contaminant concentration at the point of brine entry into the surface water body is calculated. The ANSYS Fluent software package is used for direct 3D simulation of brine infiltration into the surrounding medium. The simulation results revealed different stages of contaminant propagation in the porous medium. The contaminant was found to spread over a wide area with an almost uniform high brine concentration close to the saturation value. The contaminant reaches the nearest riverbed approximately 20 days after the start of infiltration. The estimates of the time required for the contaminant front to reach the surface water body obtained by three-dimensional simulation agree with the analytical estimates derived from a one-dimensional model. The proposed system of physical models adequately describes the hydrodynamic processes accompanying the operation of large storage facilities and can be used to predict contaminant-front propagation in the groundwater near storage facilities.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N26f52b30006a40868ab4fa2f9d7750d0
24 Nfc1d8e59ffb54f9fbfdc506903fcf0d5
25 sg:journal.1136652
26 schema:name Numerical modeling of liquid-waste infiltration from storage facilities into surrounding groundwater and surface-water bodies
27 schema:pagination 1208-1216
28 schema:productId N56a13df458c244bbb30cdd12b72de2bb
29 Nae7f9340b0844958919c4e0ce9e8b4fd
30 Nd6cd69c6b1664c468a0ec28ac734caf0
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084222819
32 https://doi.org/10.1134/s0021894416070099
33 schema:sdDatePublished 2019-04-10T17:27
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N67afea88fe854804ad1e2956eee1323c
36 schema:url http://link.springer.com/10.1134/S0021894416070099
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N11fae98c31fa409386d20339cd4225c0 rdf:first sg:person.016025003117.20
41 rdf:rest Nc65c23963ab549c986c9fb3b119778fa
42 N26f52b30006a40868ab4fa2f9d7750d0 schema:volumeNumber 57
43 rdf:type schema:PublicationVolume
44 N56a13df458c244bbb30cdd12b72de2bb schema:name readcube_id
45 schema:value 5b070e64ed01aecb4ee2688c3f9fd82eeb7751b754525f35402c05a36875157a
46 rdf:type schema:PropertyValue
47 N67afea88fe854804ad1e2956eee1323c schema:name Springer Nature - SN SciGraph project
48 rdf:type schema:Organization
49 N7a45512cc00f4a17a6cbe129a01deba4 rdf:first sg:person.0732215416.82
50 rdf:rest Ne1b25bd8578f42b4a65ce8481807ef7f
51 Nae7f9340b0844958919c4e0ce9e8b4fd schema:name doi
52 schema:value 10.1134/s0021894416070099
53 rdf:type schema:PropertyValue
54 Nc65c23963ab549c986c9fb3b119778fa rdf:first sg:person.01004626014.63
55 rdf:rest rdf:nil
56 Nd6cd69c6b1664c468a0ec28ac734caf0 schema:name dimensions_id
57 schema:value pub.1084222819
58 rdf:type schema:PropertyValue
59 Ne1b25bd8578f42b4a65ce8481807ef7f rdf:first sg:person.015673725211.36
60 rdf:rest N11fae98c31fa409386d20339cd4225c0
61 Nfc1d8e59ffb54f9fbfdc506903fcf0d5 schema:issueNumber 7
62 rdf:type schema:PublicationIssue
63 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
64 schema:name Engineering
65 rdf:type schema:DefinedTerm
66 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
67 schema:name Environmental Engineering
68 rdf:type schema:DefinedTerm
69 sg:journal.1136652 schema:issn 0021-8944
70 1573-8620
71 schema:name Journal of Applied Mechanics and Technical Physics
72 rdf:type schema:Periodical
73 sg:person.01004626014.63 schema:affiliation https://www.grid.ac/institutes/grid.77611.36
74 schema:familyName Tsiberkin
75 schema:givenName K. B.
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004626014.63
77 rdf:type schema:Person
78 sg:person.015673725211.36 schema:affiliation https://www.grid.ac/institutes/grid.473900.9
79 schema:familyName Lepikhin
80 schema:givenName A. P.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015673725211.36
82 rdf:type schema:Person
83 sg:person.016025003117.20 schema:affiliation https://www.grid.ac/institutes/grid.465304.0
84 schema:familyName Parshakova
85 schema:givenName Ya. N.
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016025003117.20
87 rdf:type schema:Person
88 sg:person.0732215416.82 schema:affiliation https://www.grid.ac/institutes/grid.465304.0
89 schema:familyName Lyubimova
90 schema:givenName T. P.
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732215416.82
92 rdf:type schema:Person
93 sg:pub.10.1007/978-1-4614-5541-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038012617
94 https://doi.org/10.1007/978-1-4614-5541-7
95 rdf:type schema:CreativeWork
96 sg:pub.10.1007/978-3-540-74382-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032750312
97 https://doi.org/10.1007/978-3-540-74382-8
98 rdf:type schema:CreativeWork
99 sg:pub.10.1007/978-94-009-0345-6_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000173746
100 https://doi.org/10.1007/978-94-009-0345-6_8
101 rdf:type schema:CreativeWork
102 sg:pub.10.1007/bf01061082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053093227
103 https://doi.org/10.1007/bf01061082
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/s11270-008-9915-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006023339
106 https://doi.org/10.1007/s11270-008-9915-5
107 rdf:type schema:CreativeWork
108 sg:pub.10.1134/s1062739148020220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034678807
109 https://doi.org/10.1134/s1062739148020220
110 rdf:type schema:CreativeWork
111 https://app.dimensions.ai/details/publication/pub.1032750312 schema:CreativeWork
112 https://app.dimensions.ai/details/publication/pub.1038012617 schema:CreativeWork
113 https://app.dimensions.ai/details/publication/pub.1049385763 schema:CreativeWork
114 https://doi.org/10.1002/nag.1610170702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002940852
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/0021-8928(60)90107-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011639644
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1201/9781420035322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095905870
119 rdf:type schema:CreativeWork
120 https://doi.org/10.7242/1999-6691/2010.3.4.37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073671778
121 rdf:type schema:CreativeWork
122 https://www.grid.ac/institutes/grid.465304.0 schema:alternateName Institute of Continuous Media Mechanics
123 schema:name Institute of Continuous Media Mechanics, Ural Branch, Russian Academy of Sciences, Perm, Russia
124 rdf:type schema:Organization
125 https://www.grid.ac/institutes/grid.473900.9 schema:alternateName Mining Institute of the Ural Branch of the Russian Academy of Sciences
126 schema:name Mining Institute, Ural Branch, Russian Academy of Sciences, Perm, Russia
127 rdf:type schema:Organization
128 https://www.grid.ac/institutes/grid.77611.36 schema:alternateName Perm State University
129 schema:name Institute of Continuous Media Mechanics, Ural Branch, Russian Academy of Sciences, Perm, Russia
130 Perm State University, Perm, Russia
131 rdf:type schema:Organization
 




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


...