Simulation of atmospheric dispersion of airborne effluent releases at a tropical coastal site under sea-breeze circulation and internal boundary layer ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-06

AUTHORS

K. B. R. R. Hari Prasad, B. Revanth Reddy, C. V. Srinivas, P. T. Rakesh, R. Baskaran, B. Venkatraman

ABSTRACT

In this study the impact of land–sea breeze circulation and internal boundary layer (IBL) on the atmospheric dispersion of airborne effluent releases at the tropical coastal site Kalpakkam is simulated using mesoscale model WRF and Lagrangian particle dispersion model FLEXPART. Simulations with WRF are conducted for typical days in different seasons, i.e., 3 May 2011 (summer), 20 Sep 2010 and 20 Jun 2011 (southwest monsoon). Two K-based non-local turbulence closures (YSU, ACM) and two TKE-based local closures (MYNN, MYJ) in WRF are tested for simulating the sea breeze and IBL. Observations from a 50-m meteorological tower, GPS Sonde, and a Doppler SODAR are used for validation. Simulations indicate that the synoptic flow largely influences the characteristics of the sea breeze at the site. Results show that the sea breeze is more predominant with early onset and it is characterized by deep inland penetration, strong horizontal and vertical winds and is associated with formation of a deep IBL relative to monsoon with opposing large-scale flow. The YSU non-local diffusion scheme and the higher order local TKE closure (MYNN) simulated the sea breeze and IBL characteristics in good agreement with observations. Dispersion simulations with a hypothetical tracer release using FLEXPART showed relatively high ground-level concentrations during IBL formation in the daytime and during stable off-shore flow condition in the morning time. The coupled mesoscale dispersion model could simulate the plume trajectory and buildup of concentrations during sea-breeze time by realistically simulating the winds and mixed-layer characteristics at the coastal site. More... »

PAGES

1-18

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00703-019-0660-7

DOI

http://dx.doi.org/10.1007/s00703-019-0660-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111949262


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": "Indira Gandhi Centre for Atomic Research", 
          "id": "https://www.grid.ac/institutes/grid.459621.d", 
          "name": [
            "Radiological Safety and Environment Group, Indira Gandhi Centre for Atomic Research, 603102, Kalpakkam, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hari Prasad", 
        "givenName": "K. B. R. R.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indira Gandhi Centre for Atomic Research", 
          "id": "https://www.grid.ac/institutes/grid.459621.d", 
          "name": [
            "Radiological Safety and Environment Group, Indira Gandhi Centre for Atomic Research, 603102, Kalpakkam, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reddy", 
        "givenName": "B. Revanth", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indira Gandhi Centre for Atomic Research", 
          "id": "https://www.grid.ac/institutes/grid.459621.d", 
          "name": [
            "Radiological Safety and Environment Group, Indira Gandhi Centre for Atomic Research, 603102, Kalpakkam, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Srinivas", 
        "givenName": "C. V.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indira Gandhi Centre for Atomic Research", 
          "id": "https://www.grid.ac/institutes/grid.459621.d", 
          "name": [
            "Radiological Safety and Environment Group, Indira Gandhi Centre for Atomic Research, 603102, Kalpakkam, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rakesh", 
        "givenName": "P. T.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indira Gandhi Centre for Atomic Research", 
          "id": "https://www.grid.ac/institutes/grid.459621.d", 
          "name": [
            "Radiological Safety and Environment Group, Indira Gandhi Centre for Atomic Research, 603102, Kalpakkam, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baskaran", 
        "givenName": "R.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indira Gandhi Centre for Atomic Research", 
          "id": "https://www.grid.ac/institutes/grid.459621.d", 
          "name": [
            "Radiological Safety and Environment Group, Indira Gandhi Centre for Atomic Research, 603102, Kalpakkam, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Venkatraman", 
        "givenName": "B.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02702223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003521382", 
          "https://doi.org/10.1007/bf02702223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02702223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003521382", 
          "https://doi.org/10.1007/bf02702223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2008.01.067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008582880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2010.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009381537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jam2292.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009464560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jam2292.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009464560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2004.09.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009922100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2004.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011857637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acp-8-1377-2008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013049117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/met.1545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013380110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsoft.2003.08.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013500908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsoft.2003.08.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013500908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jam2539.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013902275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/mwr3199.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015662366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2009.10.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016054702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2008.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017356250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2006.11.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018101829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2011.06.059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020707279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2004.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023945546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2009jd012536", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025863344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2009jd012536", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025863344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:boun.0000020164.04146.98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026732729", 
          "https://doi.org/10.1023/b:boun.0000020164.04146.98"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0450(1982)021<1594:ahrmot>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029104976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2012.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031441686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acpd-5-4739-2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032037970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acpd-5-4739-2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032037970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosres.2007.03.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032477610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0450(2004)043<0170:tkcpau>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033852515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00769106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033964768", 
          "https://doi.org/10.1007/bf00769106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2011jd017080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035129569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/ws003p0107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037779227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2009.01.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039283907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5094/apr.2011.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039791441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1352-2310(02)00138-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040769699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2003rg000124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041365279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00024-007-0234-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042489880", 
          "https://doi.org/10.1007/s00024-007-0234-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1352-2310(00)00335-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042714904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10546-011-9599-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043968460", 
          "https://doi.org/10.1007/s10546-011-9599-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02702909", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049652414", 
          "https://doi.org/10.1007/bf02702909"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02702909", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049652414", 
          "https://doi.org/10.1007/bf02702909"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jgrd.50490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050104235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0450(1967)006<1039:mdwsaa>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052491455"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02-06", 
    "datePublishedReg": "2019-02-06", 
    "description": "In this study the impact of land\u2013sea breeze circulation and internal boundary layer (IBL) on the atmospheric dispersion of airborne effluent releases at the tropical coastal site Kalpakkam is simulated using mesoscale model WRF and Lagrangian particle dispersion model FLEXPART. Simulations with WRF are conducted for typical days in different seasons, i.e., 3 May 2011 (summer), 20 Sep 2010 and 20 Jun 2011 (southwest monsoon). Two K-based non-local turbulence closures (YSU, ACM) and two TKE-based local closures (MYNN, MYJ) in WRF are tested for simulating the sea breeze and IBL. Observations from a 50-m meteorological tower, GPS Sonde, and a Doppler SODAR are used for validation. Simulations indicate that the synoptic flow largely influences the characteristics of the sea breeze at the site. Results show that the sea breeze is more predominant with early onset and it is characterized by deep inland penetration, strong horizontal and vertical winds and is associated with formation of a deep IBL relative to monsoon with opposing large-scale flow. The YSU non-local diffusion scheme and the higher order local TKE closure (MYNN) simulated the sea breeze and IBL characteristics in good agreement with observations. Dispersion simulations with a hypothetical tracer release using FLEXPART showed relatively high ground-level concentrations during IBL formation in the daytime and during stable off-shore flow condition in the morning time. The coupled mesoscale dispersion model could simulate the plume trajectory and buildup of concentrations during sea-breeze time by realistically simulating the winds and mixed-layer characteristics at the coastal site.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00703-019-0660-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1271293", 
        "issn": [
          "0177-7971", 
          "1436-5065"
        ], 
        "name": "Meteorology and Atmospheric Physics", 
        "type": "Periodical"
      }
    ], 
    "name": "Simulation of atmospheric dispersion of airborne effluent releases at a tropical coastal site under sea-breeze circulation and internal boundary layer development", 
    "pagination": "1-18", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "59172b4bd7107ca6eb724105e8e430e89bc3e7223b050d939b16a94dfb16db6c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00703-019-0660-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111949262"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00703-019-0660-7", 
      "https://app.dimensions.ai/details/publication/pub.1111949262"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:02", 
    "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/v90/0000000331_0000000331/records_105430_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00703-019-0660-7"
  }
]
 

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/s00703-019-0660-7'

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/s00703-019-0660-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00703-019-0660-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00703-019-0660-7'


 

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

198 TRIPLES      21 PREDICATES      60 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00703-019-0660-7 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author Nc9fbf52a57254beaaff2167f6022290e
4 schema:citation sg:pub.10.1007/bf00769106
5 sg:pub.10.1007/bf02702223
6 sg:pub.10.1007/bf02702909
7 sg:pub.10.1007/s00024-007-0234-3
8 sg:pub.10.1007/s10546-011-9599-z
9 sg:pub.10.1023/b:boun.0000020164.04146.98
10 https://doi.org/10.1002/jgrd.50490
11 https://doi.org/10.1002/met.1545
12 https://doi.org/10.1016/j.atmosenv.2004.09.017
13 https://doi.org/10.1016/j.atmosenv.2006.11.027
14 https://doi.org/10.1016/j.atmosenv.2008.01.067
15 https://doi.org/10.1016/j.atmosenv.2009.01.017
16 https://doi.org/10.1016/j.atmosenv.2011.06.059
17 https://doi.org/10.1016/j.atmosres.2004.04.004
18 https://doi.org/10.1016/j.atmosres.2004.04.014
19 https://doi.org/10.1016/j.atmosres.2007.03.010
20 https://doi.org/10.1016/j.atmosres.2008.05.004
21 https://doi.org/10.1016/j.atmosres.2009.10.009
22 https://doi.org/10.1016/j.atmosres.2010.02.009
23 https://doi.org/10.1016/j.atmosres.2012.12.002
24 https://doi.org/10.1016/j.envsoft.2003.08.011
25 https://doi.org/10.1016/s1352-2310(00)00335-6
26 https://doi.org/10.1016/s1352-2310(02)00138-3
27 https://doi.org/10.1029/2003rg000124
28 https://doi.org/10.1029/2009jd012536
29 https://doi.org/10.1029/2011jd017080
30 https://doi.org/10.1029/ws003p0107
31 https://doi.org/10.1175/1520-0450(1967)006<1039:mdwsaa>2.0.co;2
32 https://doi.org/10.1175/1520-0450(1982)021<1594:ahrmot>2.0.co;2
33 https://doi.org/10.1175/1520-0450(2004)043<0170:tkcpau>2.0.co;2
34 https://doi.org/10.1175/jam2292.1
35 https://doi.org/10.1175/jam2539.1
36 https://doi.org/10.1175/mwr3199.1
37 https://doi.org/10.5094/apr.2011.013
38 https://doi.org/10.5194/acp-8-1377-2008
39 https://doi.org/10.5194/acpd-5-4739-2005
40 schema:datePublished 2019-02-06
41 schema:datePublishedReg 2019-02-06
42 schema:description In this study the impact of land–sea breeze circulation and internal boundary layer (IBL) on the atmospheric dispersion of airborne effluent releases at the tropical coastal site Kalpakkam is simulated using mesoscale model WRF and Lagrangian particle dispersion model FLEXPART. Simulations with WRF are conducted for typical days in different seasons, i.e., 3 May 2011 (summer), 20 Sep 2010 and 20 Jun 2011 (southwest monsoon). Two K-based non-local turbulence closures (YSU, ACM) and two TKE-based local closures (MYNN, MYJ) in WRF are tested for simulating the sea breeze and IBL. Observations from a 50-m meteorological tower, GPS Sonde, and a Doppler SODAR are used for validation. Simulations indicate that the synoptic flow largely influences the characteristics of the sea breeze at the site. Results show that the sea breeze is more predominant with early onset and it is characterized by deep inland penetration, strong horizontal and vertical winds and is associated with formation of a deep IBL relative to monsoon with opposing large-scale flow. The YSU non-local diffusion scheme and the higher order local TKE closure (MYNN) simulated the sea breeze and IBL characteristics in good agreement with observations. Dispersion simulations with a hypothetical tracer release using FLEXPART showed relatively high ground-level concentrations during IBL formation in the daytime and during stable off-shore flow condition in the morning time. The coupled mesoscale dispersion model could simulate the plume trajectory and buildup of concentrations during sea-breeze time by realistically simulating the winds and mixed-layer characteristics at the coastal site.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf sg:journal.1271293
47 schema:name Simulation of atmospheric dispersion of airborne effluent releases at a tropical coastal site under sea-breeze circulation and internal boundary layer development
48 schema:pagination 1-18
49 schema:productId N51788334c2e14664aa1dacd5710a0f2c
50 Na7d2394141e24769a629c06f2414a153
51 Nc0e9242ed1a9453bba61a9ebb5c22303
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111949262
53 https://doi.org/10.1007/s00703-019-0660-7
54 schema:sdDatePublished 2019-04-11T09:02
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N1b5880e9d0a74b5ba3fb02e3adc162e4
57 schema:url https://link.springer.com/10.1007%2Fs00703-019-0660-7
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N069495d24e944f97a9f863f6b07725ad rdf:first N731bc0fafe6a4f5f896be05844f03189
62 rdf:rest rdf:nil
63 N1b5880e9d0a74b5ba3fb02e3adc162e4 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N50756cd4a0e94a708d330087fc1a1b27 schema:affiliation https://www.grid.ac/institutes/grid.459621.d
66 schema:familyName Hari Prasad
67 schema:givenName K. B. R. R.
68 rdf:type schema:Person
69 N50b030c7aab849bfb4296cc1056f28a6 schema:affiliation https://www.grid.ac/institutes/grid.459621.d
70 schema:familyName Rakesh
71 schema:givenName P. T.
72 rdf:type schema:Person
73 N51788334c2e14664aa1dacd5710a0f2c schema:name doi
74 schema:value 10.1007/s00703-019-0660-7
75 rdf:type schema:PropertyValue
76 N5b74492ff66043cf803b37df832ab9bf schema:affiliation https://www.grid.ac/institutes/grid.459621.d
77 schema:familyName Srinivas
78 schema:givenName C. V.
79 rdf:type schema:Person
80 N731bc0fafe6a4f5f896be05844f03189 schema:affiliation https://www.grid.ac/institutes/grid.459621.d
81 schema:familyName Venkatraman
82 schema:givenName B.
83 rdf:type schema:Person
84 N99fa48f61d494fe3a84382f8326f1b2f rdf:first Naf575c4bb86e4abf843d60f3a087a086
85 rdf:rest N069495d24e944f97a9f863f6b07725ad
86 Na7d2394141e24769a629c06f2414a153 schema:name readcube_id
87 schema:value 59172b4bd7107ca6eb724105e8e430e89bc3e7223b050d939b16a94dfb16db6c
88 rdf:type schema:PropertyValue
89 Naf575c4bb86e4abf843d60f3a087a086 schema:affiliation https://www.grid.ac/institutes/grid.459621.d
90 schema:familyName Baskaran
91 schema:givenName R.
92 rdf:type schema:Person
93 Nc0e9242ed1a9453bba61a9ebb5c22303 schema:name dimensions_id
94 schema:value pub.1111949262
95 rdf:type schema:PropertyValue
96 Nc41e27b1a3b34380bb2b4d51bb9ea115 rdf:first Ne81f6a63748f4060818c1a829e508492
97 rdf:rest Ne39ff4638df647cd93982ca3202d84b6
98 Nc9fbf52a57254beaaff2167f6022290e rdf:first N50756cd4a0e94a708d330087fc1a1b27
99 rdf:rest Nc41e27b1a3b34380bb2b4d51bb9ea115
100 Ncfa46e8690cb4fa28b0485e5aa286184 rdf:first N50b030c7aab849bfb4296cc1056f28a6
101 rdf:rest N99fa48f61d494fe3a84382f8326f1b2f
102 Ne39ff4638df647cd93982ca3202d84b6 rdf:first N5b74492ff66043cf803b37df832ab9bf
103 rdf:rest Ncfa46e8690cb4fa28b0485e5aa286184
104 Ne81f6a63748f4060818c1a829e508492 schema:affiliation https://www.grid.ac/institutes/grid.459621.d
105 schema:familyName Reddy
106 schema:givenName B. Revanth
107 rdf:type schema:Person
108 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
109 schema:name Engineering
110 rdf:type schema:DefinedTerm
111 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
112 schema:name Interdisciplinary Engineering
113 rdf:type schema:DefinedTerm
114 sg:journal.1271293 schema:issn 0177-7971
115 1436-5065
116 schema:name Meteorology and Atmospheric Physics
117 rdf:type schema:Periodical
118 sg:pub.10.1007/bf00769106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033964768
119 https://doi.org/10.1007/bf00769106
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/bf02702223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003521382
122 https://doi.org/10.1007/bf02702223
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/bf02702909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049652414
125 https://doi.org/10.1007/bf02702909
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s00024-007-0234-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042489880
128 https://doi.org/10.1007/s00024-007-0234-3
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s10546-011-9599-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1043968460
131 https://doi.org/10.1007/s10546-011-9599-z
132 rdf:type schema:CreativeWork
133 sg:pub.10.1023/b:boun.0000020164.04146.98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026732729
134 https://doi.org/10.1023/b:boun.0000020164.04146.98
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1002/jgrd.50490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050104235
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1002/met.1545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013380110
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.atmosenv.2004.09.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009922100
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.atmosenv.2006.11.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018101829
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.atmosenv.2008.01.067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008582880
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.atmosenv.2009.01.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039283907
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.atmosenv.2011.06.059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020707279
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.atmosres.2004.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023945546
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.atmosres.2004.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011857637
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.atmosres.2007.03.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032477610
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.atmosres.2008.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017356250
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.atmosres.2009.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016054702
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.atmosres.2010.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009381537
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.atmosres.2012.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031441686
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.envsoft.2003.08.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013500908
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/s1352-2310(00)00335-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042714904
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/s1352-2310(02)00138-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040769699
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1029/2003rg000124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041365279
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1029/2009jd012536 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025863344
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1029/2011jd017080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035129569
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1029/ws003p0107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037779227
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1175/1520-0450(1967)006<1039:mdwsaa>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052491455
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1175/1520-0450(1982)021<1594:ahrmot>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029104976
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1175/1520-0450(2004)043<0170:tkcpau>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033852515
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1175/jam2292.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009464560
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1175/jam2539.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013902275
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1175/mwr3199.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015662366
189 rdf:type schema:CreativeWork
190 https://doi.org/10.5094/apr.2011.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039791441
191 rdf:type schema:CreativeWork
192 https://doi.org/10.5194/acp-8-1377-2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013049117
193 rdf:type schema:CreativeWork
194 https://doi.org/10.5194/acpd-5-4739-2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032037970
195 rdf:type schema:CreativeWork
196 https://www.grid.ac/institutes/grid.459621.d schema:alternateName Indira Gandhi Centre for Atomic Research
197 schema:name Radiological Safety and Environment Group, Indira Gandhi Centre for Atomic Research, 603102, Kalpakkam, India
198 rdf:type schema:Organization
 




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


...