Wind-Induced Air-Flow Patterns in an Urban Setting: Observations and Numerical Modeling View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-08

AUTHORS

Ahmed M. A. Sattar, Mohamed Elhakeem, Bishoy N. Gerges, Bahram Gharabaghi, Ismail Gultepe

ABSTRACT

City planning can have a significant effect on wind flow velocity patterns and thus natural ventilation. Buildings with different heights are roughness elements that can affect the near- and far-field wind flow velocity. This paper aims at investigating the impact of an increase in building height on the nearby velocity fields. A prototype urban setting of buildings with two different heights (25 and 62.5 cm) is built up and placed in a wind tunnel. Wind flow velocity around the buildings is mapped at different heights. Wind tunnel measurements are used to validate a 3D-numerical Reynolds averaged Naviers–Stokes model. The validated model is further used to calculate the wind flow velocity patterns for cases with different building heights. It was found that increasing the height of some buildings in an urban setting can lead to the formation of large horseshoe vortices and eddies around building corners. A separation area is formed at the leeward side of the building, and the recirculation of air behind the building leads to the formation of slow rotation vortices. The opposite effect is observed in the wake (cavity) region of the buildings, where both the cavity length and width are significantly reduced, and this resulted in a pronounced increase in the wind flow velocity. A significant increase in the wind flow velocity in the wake region of tall buildings with a value of up to 30% is observed. The spatially averaged velocities around short buildings also increased by 25% compared to those around buildings with different heights. The increase in the height of some buildings is found to have a positive effect on the wind ventilation at the pedestrian level. More... »

PAGES

3051-3068

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00024-018-1846-5

DOI

http://dx.doi.org/10.1007/s00024-018-1846-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103202854


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/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary 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": "German University in Cairo", 
          "id": "https://www.grid.ac/institutes/grid.187323.c", 
          "name": [
            "Department of Irrigation and Hydraulics, Faculty of Engineering, Cairo University, Giza, Egypt", 
            "German University in Cairo, Cairo, Egypt"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sattar", 
        "givenName": "Ahmed M. A.", 
        "id": "sg:person.016437441445.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016437441445.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Abu Dhabi University", 
          "id": "https://www.grid.ac/institutes/grid.444459.c", 
          "name": [
            "Department of Civil Engineering, Abu Dhabi University, 59911, Abu Dhabi, UAE"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Elhakeem", 
        "givenName": "Mohamed", 
        "id": "sg:person.011263357175.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011263357175.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "German University in Cairo", 
          "id": "https://www.grid.ac/institutes/grid.187323.c", 
          "name": [
            "Civil Engineering Program, German University in Cairo, Cairo, Egypt"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gerges", 
        "givenName": "Bishoy N.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Guelph", 
          "id": "https://www.grid.ac/institutes/grid.34429.38", 
          "name": [
            "School of Engineering, University of Guelph, NIG 2 W1, Guelph, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gharabaghi", 
        "givenName": "Bahram", 
        "id": "sg:person.0771646566.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771646566.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ontario Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.266904.f", 
          "name": [
            "Cloud Physics and Severe Weather Res Section, Meteorological Research Division, Environment and Climate Change of Canada/Government of Canada, M3H 5T4, Toronto, ON, Canada", 
            "Department of Engineering and Applied Sciences, UOIT, Oshawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gultepe", 
        "givenName": "Ismail", 
        "id": "sg:person.015564401101.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015564401101.39"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1080/10962247.2016.1265025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003093066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.buildenv.2016.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008666386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10962247.2016.1263585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009850921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jweia.2005.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010628151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enbuild.2010.03.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010765594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-6105(94)00069-p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015815493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.49712656409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017352822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.49712656409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017352822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jweia.2007.02.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018733057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12273-013-0157-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023047717", 
          "https://doi.org/10.1007/s12273-013-0157-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-6105(99)00025-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025885277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-6105(92)90028-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026878460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-6105(92)90028-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026878460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0141-0296(95)00154-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028064774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.buildenv.2016.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028775422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.buildenv.2016.05.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029419961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2014.07.060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033714982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jweia.2011.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034661059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1016060103448", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035716420", 
          "https://doi.org/10.1023/a:1016060103448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620240814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037957712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620240814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037957712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jweia.2007.01.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038357127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jweia.2008.01.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038854680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.buildenv.2016.02.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040358097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10546-008-9290-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044046422", 
          "https://doi.org/10.1007/s10546-008-9290-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10546-008-9290-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044046422", 
          "https://doi.org/10.1007/s10546-008-9290-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1364-8152(98)00028-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045816644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2015.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051112082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-947x(1984)110:5(493)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057602445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1097196304044396", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063979229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1097196304044396", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063979229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.9790/1684-11346772", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074171439"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-08", 
    "datePublishedReg": "2018-08-01", 
    "description": "City planning can have a significant effect on wind flow velocity patterns and thus natural ventilation. Buildings with different heights are roughness elements that can affect the near- and far-field wind flow velocity. This paper aims at investigating the impact of an increase in building height on the nearby velocity fields. A prototype urban setting of buildings with two different heights (25 and 62.5 cm) is built up and placed in a wind tunnel. Wind flow velocity around the buildings is mapped at different heights. Wind tunnel measurements are used to validate a 3D-numerical Reynolds averaged Naviers\u2013Stokes model. The validated model is further used to calculate the wind flow velocity patterns for cases with different building heights. It was found that increasing the height of some buildings in an urban setting can lead to the formation of large horseshoe vortices and eddies around building corners. A separation area is formed at the leeward side of the building, and the recirculation of air behind the building leads to the formation of slow rotation vortices. The opposite effect is observed in the wake (cavity) region of the buildings, where both the cavity length and width are significantly reduced, and this resulted in a pronounced increase in the wind flow velocity. A significant increase in the wind flow velocity in the wake region of tall buildings with a value of up to 30% is observed. The spatially averaged velocities around short buildings also increased by 25% compared to those around buildings with different heights. The increase in the height of some buildings is found to have a positive effect on the wind ventilation at the pedestrian level.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00024-018-1846-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136817", 
        "issn": [
          "0033-4553", 
          "1420-9136"
        ], 
        "name": "Pure and Applied Geophysics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "175"
      }
    ], 
    "name": "Wind-Induced Air-Flow Patterns in an Urban Setting: Observations and Numerical Modeling", 
    "pagination": "3051-3068", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00024-018-1846-5"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "52e13aff4ac7dc6244ab23c5cd1f13d692600d5e47c3973f48ebeb3bfd8f9327"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103202854"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00024-018-1846-5", 
      "https://app.dimensions.ai/details/publication/pub.1103202854"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:03", 
    "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/v90/0000000375_0000000375/records_91459_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00024-018-1846-5"
  }
]
 

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/s00024-018-1846-5'

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/s00024-018-1846-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00024-018-1846-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00024-018-1846-5'


 

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

184 TRIPLES      21 PREDICATES      54 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00024-018-1846-5 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author Nea25a8162d0e44438bb9c93957160275
4 schema:citation sg:pub.10.1007/s10546-008-9290-1
5 sg:pub.10.1007/s12273-013-0157-0
6 sg:pub.10.1023/a:1016060103448
7 https://doi.org/10.1002/nme.1620240814
8 https://doi.org/10.1002/qj.49712656409
9 https://doi.org/10.1016/0141-0296(95)00154-9
10 https://doi.org/10.1016/0167-6105(92)90028-9
11 https://doi.org/10.1016/0167-6105(94)00069-p
12 https://doi.org/10.1016/j.atmosenv.2014.07.060
13 https://doi.org/10.1016/j.atmosenv.2015.06.022
14 https://doi.org/10.1016/j.buildenv.2016.02.004
15 https://doi.org/10.1016/j.buildenv.2016.02.015
16 https://doi.org/10.1016/j.buildenv.2016.05.037
17 https://doi.org/10.1016/j.buildenv.2016.07.004
18 https://doi.org/10.1016/j.enbuild.2010.03.013
19 https://doi.org/10.1016/j.jweia.2005.09.001
20 https://doi.org/10.1016/j.jweia.2007.01.013
21 https://doi.org/10.1016/j.jweia.2007.02.023
22 https://doi.org/10.1016/j.jweia.2008.01.004
23 https://doi.org/10.1016/j.jweia.2011.06.005
24 https://doi.org/10.1016/s0167-6105(99)00025-2
25 https://doi.org/10.1016/s1364-8152(98)00028-0
26 https://doi.org/10.1061/(asce)0733-947x(1984)110:5(493)
27 https://doi.org/10.1080/10962247.2016.1263585
28 https://doi.org/10.1080/10962247.2016.1265025
29 https://doi.org/10.1177/1097196304044396
30 https://doi.org/10.9790/1684-11346772
31 schema:datePublished 2018-08
32 schema:datePublishedReg 2018-08-01
33 schema:description City planning can have a significant effect on wind flow velocity patterns and thus natural ventilation. Buildings with different heights are roughness elements that can affect the near- and far-field wind flow velocity. This paper aims at investigating the impact of an increase in building height on the nearby velocity fields. A prototype urban setting of buildings with two different heights (25 and 62.5 cm) is built up and placed in a wind tunnel. Wind flow velocity around the buildings is mapped at different heights. Wind tunnel measurements are used to validate a 3D-numerical Reynolds averaged Naviers–Stokes model. The validated model is further used to calculate the wind flow velocity patterns for cases with different building heights. It was found that increasing the height of some buildings in an urban setting can lead to the formation of large horseshoe vortices and eddies around building corners. A separation area is formed at the leeward side of the building, and the recirculation of air behind the building leads to the formation of slow rotation vortices. The opposite effect is observed in the wake (cavity) region of the buildings, where both the cavity length and width are significantly reduced, and this resulted in a pronounced increase in the wind flow velocity. A significant increase in the wind flow velocity in the wake region of tall buildings with a value of up to 30% is observed. The spatially averaged velocities around short buildings also increased by 25% compared to those around buildings with different heights. The increase in the height of some buildings is found to have a positive effect on the wind ventilation at the pedestrian level.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree false
37 schema:isPartOf N2e819fed69054fcabbe12bead7ccbc2a
38 Ne5813b9963bc45ac8230104af38c0e46
39 sg:journal.1136817
40 schema:name Wind-Induced Air-Flow Patterns in an Urban Setting: Observations and Numerical Modeling
41 schema:pagination 3051-3068
42 schema:productId N111777401a0a4aa0820a09dfc17907aa
43 N4ec19a1dec77468c9fb75facc8e77e6a
44 Nd192ea75f5d14fc1b1b662c6b4ab3c70
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103202854
46 https://doi.org/10.1007/s00024-018-1846-5
47 schema:sdDatePublished 2019-04-15T09:03
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher N12c7f4273225400a91d42cf20b292aae
50 schema:url https://link.springer.com/10.1007%2Fs00024-018-1846-5
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N0bf956312a16401fa2440f23dfbe98a7 rdf:first sg:person.011263357175.65
55 rdf:rest Na85956ae48a8477da682ad59d7dba084
56 N111777401a0a4aa0820a09dfc17907aa schema:name doi
57 schema:value 10.1007/s00024-018-1846-5
58 rdf:type schema:PropertyValue
59 N12c7f4273225400a91d42cf20b292aae schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 N2e819fed69054fcabbe12bead7ccbc2a schema:volumeNumber 175
62 rdf:type schema:PublicationVolume
63 N4ec19a1dec77468c9fb75facc8e77e6a schema:name dimensions_id
64 schema:value pub.1103202854
65 rdf:type schema:PropertyValue
66 N6b9cd5c0ea754cae86c14ad2faa2bf20 rdf:first sg:person.0771646566.23
67 rdf:rest N955a1ff5b87241ed8a634f1cda2f0c21
68 N955a1ff5b87241ed8a634f1cda2f0c21 rdf:first sg:person.015564401101.39
69 rdf:rest rdf:nil
70 Na85956ae48a8477da682ad59d7dba084 rdf:first Ne0f5936ff0bd44c4b8057ca30a7f93f8
71 rdf:rest N6b9cd5c0ea754cae86c14ad2faa2bf20
72 Nd192ea75f5d14fc1b1b662c6b4ab3c70 schema:name readcube_id
73 schema:value 52e13aff4ac7dc6244ab23c5cd1f13d692600d5e47c3973f48ebeb3bfd8f9327
74 rdf:type schema:PropertyValue
75 Ne0f5936ff0bd44c4b8057ca30a7f93f8 schema:affiliation https://www.grid.ac/institutes/grid.187323.c
76 schema:familyName Gerges
77 schema:givenName Bishoy N.
78 rdf:type schema:Person
79 Ne5813b9963bc45ac8230104af38c0e46 schema:issueNumber 8
80 rdf:type schema:PublicationIssue
81 Nea25a8162d0e44438bb9c93957160275 rdf:first sg:person.016437441445.94
82 rdf:rest N0bf956312a16401fa2440f23dfbe98a7
83 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
84 schema:name Engineering
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
87 schema:name Interdisciplinary Engineering
88 rdf:type schema:DefinedTerm
89 sg:journal.1136817 schema:issn 0033-4553
90 1420-9136
91 schema:name Pure and Applied Geophysics
92 rdf:type schema:Periodical
93 sg:person.011263357175.65 schema:affiliation https://www.grid.ac/institutes/grid.444459.c
94 schema:familyName Elhakeem
95 schema:givenName Mohamed
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011263357175.65
97 rdf:type schema:Person
98 sg:person.015564401101.39 schema:affiliation https://www.grid.ac/institutes/grid.266904.f
99 schema:familyName Gultepe
100 schema:givenName Ismail
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015564401101.39
102 rdf:type schema:Person
103 sg:person.016437441445.94 schema:affiliation https://www.grid.ac/institutes/grid.187323.c
104 schema:familyName Sattar
105 schema:givenName Ahmed M. A.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016437441445.94
107 rdf:type schema:Person
108 sg:person.0771646566.23 schema:affiliation https://www.grid.ac/institutes/grid.34429.38
109 schema:familyName Gharabaghi
110 schema:givenName Bahram
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771646566.23
112 rdf:type schema:Person
113 sg:pub.10.1007/s10546-008-9290-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044046422
114 https://doi.org/10.1007/s10546-008-9290-1
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/s12273-013-0157-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023047717
117 https://doi.org/10.1007/s12273-013-0157-0
118 rdf:type schema:CreativeWork
119 sg:pub.10.1023/a:1016060103448 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035716420
120 https://doi.org/10.1023/a:1016060103448
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1002/nme.1620240814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037957712
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1002/qj.49712656409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017352822
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/0141-0296(95)00154-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028064774
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/0167-6105(92)90028-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026878460
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/0167-6105(94)00069-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1015815493
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.atmosenv.2014.07.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033714982
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.atmosenv.2015.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051112082
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.buildenv.2016.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008666386
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.buildenv.2016.02.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040358097
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.buildenv.2016.05.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029419961
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.buildenv.2016.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028775422
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.enbuild.2010.03.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010765594
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.jweia.2005.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010628151
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.jweia.2007.01.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038357127
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.jweia.2007.02.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018733057
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.jweia.2008.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038854680
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.jweia.2011.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034661059
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0167-6105(99)00025-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025885277
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s1364-8152(98)00028-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045816644
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1061/(asce)0733-947x(1984)110:5(493) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057602445
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1080/10962247.2016.1263585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009850921
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1080/10962247.2016.1265025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003093066
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1177/1097196304044396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063979229
167 rdf:type schema:CreativeWork
168 https://doi.org/10.9790/1684-11346772 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074171439
169 rdf:type schema:CreativeWork
170 https://www.grid.ac/institutes/grid.187323.c schema:alternateName German University in Cairo
171 schema:name Civil Engineering Program, German University in Cairo, Cairo, Egypt
172 Department of Irrigation and Hydraulics, Faculty of Engineering, Cairo University, Giza, Egypt
173 German University in Cairo, Cairo, Egypt
174 rdf:type schema:Organization
175 https://www.grid.ac/institutes/grid.266904.f schema:alternateName University of Ontario Institute of Technology
176 schema:name Cloud Physics and Severe Weather Res Section, Meteorological Research Division, Environment and Climate Change of Canada/Government of Canada, M3H 5T4, Toronto, ON, Canada
177 Department of Engineering and Applied Sciences, UOIT, Oshawa, ON, Canada
178 rdf:type schema:Organization
179 https://www.grid.ac/institutes/grid.34429.38 schema:alternateName University of Guelph
180 schema:name School of Engineering, University of Guelph, NIG 2 W1, Guelph, ON, Canada
181 rdf:type schema:Organization
182 https://www.grid.ac/institutes/grid.444459.c schema:alternateName Abu Dhabi University
183 schema:name Department of Civil Engineering, Abu Dhabi University, 59911, Abu Dhabi, UAE
184 rdf:type schema:Organization
 




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


...