Multiscale Plume Transport from the Collapse of the World Trade Center on September 11, 2001 View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-10

AUTHORS

Georgiy Stenchikov, Nilesh Lahoti, David J. Diner, Ralph Kahn, Paul J. Lioy, Panos G. Georgopoulos

ABSTRACT

The collapse of the world trade center (WTC) produced enhanced levels of airborne contaminants in New York City and nearby areas on September 11, 2001 through December, 2001. This catastrophic event revealed the vulnerability of the urban environment, and the inability of many existing air monitoring systems to operate efficiently in a crisis. The contaminants released circulated within the street canyons, but were also lifted above the urban canopy and transported over large distances, reflecting the fact that pollutant transport affects multiple scales, from single buildings through city blocks to mesoscales. In this study, ground-and space-based observations were combined with numerical weather forecast fields to initialize fine-scale numerical simulations. The effort is aimed at reconstructing pollutant dispersion from the WTC in New York City to surrounding areas, to provide means for eventually evaluating its effect on population and environment. Atmospheric dynamics were calculated with the multi-grid Regional Atmospheric Modeling System (RAMS), covering scales from 250 m to 300 km and contaminant transport was studied using the Hybrid Particle and Concentration Transport (HYPACT) model that accepts RAMS meteorological output. The RAMS/HYPACT results were tested against PM2.5 observations from the roofs of public schools in New York City (NYC), Landsat images, and Multi-angle Imaging SpectroRadiometer (MISR) retrievals. Calculations accurately reproduced locations and timing of PM2.5 peak aerosol concentrations, as well as plume directionality. By comparing calculated and observed concentrations, the effective magnitude of the aerosol source was estimated. The simulated pollutant distributions are being used to characterize levels of human exposure and associated environmental health impacts. More... »

PAGES

425-450

References to SciGraph publications

  • 1993. Convective Parameterization for Mesoscale Models: The Kain-Fritsch Scheme in THE REPRESENTATION OF CUMULUS CONVECTION IN NUMERICAL MODELS
  • 1987-07. A stochastic model of particle dispersion in the atmosphere in BOUNDARY-LAYER METEOROLOGY
  • 1994. Observation and Simulation of Urban-Topography Barrier Effects on Boundary Layer Structure Using the Three-Dimensional TVM/URBMET Model in AIR POLLUTION MODELING AND ITS APPLICATION X
  • 1992-03. A comprehensive meteorological modeling system—RAMS in METEOROLOGY AND ATMOSPHERIC PHYSICS
  • 2003-01. RAMS 2001: Current status and future directions in METEOROLOGY AND ATMOSPHERIC PHYSICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10652-006-9001-8

    DOI

    http://dx.doi.org/10.1007/s10652-006-9001-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011257132


    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/2008/0399", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Other Chemical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Rutgers University", 
              "id": "https://www.grid.ac/institutes/grid.430387.b", 
              "name": [
                "Department of Environmental Sciences, Rutgers University, 08901, New Brunswick, NJ, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stenchikov", 
            "givenName": "Georgiy", 
            "id": "sg:person.0700305323.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700305323.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Environmental and Occupational Health Sciences Institute", 
              "id": "https://www.grid.ac/institutes/grid.414514.1", 
              "name": [
                "Department of Environmental and Occupational Medicine, UMDNJ\u2014R.W. Johnson Medical School, 08854, Piscataway, NJ, USA", 
                "Environmental & Occupational Health Sciences Institute, UMDNJ\u2014R.W. Johnson Medical School & Rutgers University, 08854, Piscataway, NJ, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lahoti", 
            "givenName": "Nilesh", 
            "id": "sg:person.010453676167.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010453676167.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jet Propulsion Lab", 
              "id": "https://www.grid.ac/institutes/grid.211367.0", 
              "name": [
                "Jet Propulsion Laboratory, California Institute of Technology, 91109, Pasadena, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Diner", 
            "givenName": "David J.", 
            "id": "sg:person.07440201353.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07440201353.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jet Propulsion Lab", 
              "id": "https://www.grid.ac/institutes/grid.211367.0", 
              "name": [
                "Jet Propulsion Laboratory, California Institute of Technology, 91109, Pasadena, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kahn", 
            "givenName": "Ralph", 
            "id": "sg:person.013044507315.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013044507315.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Environmental and Occupational Health Sciences Institute", 
              "id": "https://www.grid.ac/institutes/grid.414514.1", 
              "name": [
                "Department of Environmental and Occupational Medicine, UMDNJ\u2014R.W. Johnson Medical School, 08854, Piscataway, NJ, USA", 
                "Environmental & Occupational Health Sciences Institute, UMDNJ\u2014R.W. Johnson Medical School & Rutgers University, 08854, Piscataway, NJ, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lioy", 
            "givenName": "Paul J.", 
            "id": "sg:person.0773771341.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773771341.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Environmental and Occupational Health Sciences Institute", 
              "id": "https://www.grid.ac/institutes/grid.414514.1", 
              "name": [
                "Department of Environmental and Occupational Medicine, UMDNJ\u2014R.W. Johnson Medical School, 08854, Piscataway, NJ, USA", 
                "Environmental & Occupational Health Sciences Institute, UMDNJ\u2014R.W. Johnson Medical School & Rutgers University, 08854, Piscataway, NJ, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Georgopoulos", 
            "givenName": "Panos G.", 
            "id": "sg:person.01265773631.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265773631.67"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1175/1520-0493(1988)116<1493:tsmcmd>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000490326"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2003eo030001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001249604"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(2004)061<1781:acotco>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003886964"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0065-2687(08)60131-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010788416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01025401", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011888767", 
              "https://doi.org/10.1007/bf01025401"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/jc087ic12p09455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013287898"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0021-9991(75)90037-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016207471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2000jd900289", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019840115"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0004-6981(77)90112-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023683942"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0004-6981(77)90112-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023683942"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4615-1817-4_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024524538", 
              "https://doi.org/10.1007/978-1-4615-1817-4_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4615-1817-4_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024524538", 
              "https://doi.org/10.1007/978-1-4615-1817-4_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025644996"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2000jd900497", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025682036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1980)037<1722:npocdm>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028412099"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2004gl019771", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028925153"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2003jd004495", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029473590"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00140073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033727336", 
              "https://doi.org/10.1007/bf00140073"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00140073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033727336", 
              "https://doi.org/10.1007/bf00140073"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10473289.1998.10463737", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033867602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.49710243210", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035852339"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli3369.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038624267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0450(2000)039<0931:cabhmf>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038701377"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1196/annals.1371.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039189708"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1978)035<1070:tsotdc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039886201"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/rg020i004p00851", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040040183"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1464-1917(99)00081-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040922152"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1990)047<2784:aodepm>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041195238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1352-2310(01)00448-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041423757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-935704-13-3_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041808207", 
              "https://doi.org/10.1007/978-1-935704-13-3_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1974)031<1791:ahotcm>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046590026"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00703-001-0584-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047124711", 
              "https://doi.org/10.1007/s00703-001-0584-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1974)031<1232:fsotpo>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047676164"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/93jd02916", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047946396"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1984)041<0329:sdwcit>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049701586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2002jd002107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052515309"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0434(1996)011<0391:cttoea>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052689083"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0450(1980)019<1037:aniosf>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053292293"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/36.700992", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061161812"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tgrs.2002.801150", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061608591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tgrs.2002.801160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061608595"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.278.5339.827", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062558512"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1963)091<0099:gcewtp>2.3.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063451320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1256/smsqj.43209", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064523441"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1289/ehp.02110703", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064737697"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1289/ehp.6702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064741900"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3801/iafss.fss.7-25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071436097"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bk-2006-0919.ch002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089353333"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2006-10", 
        "datePublishedReg": "2006-10-01", 
        "description": "The collapse of the world trade center (WTC) produced enhanced levels of airborne contaminants in New York City and nearby areas on September 11, 2001 through December, 2001. This catastrophic event revealed the vulnerability of the urban environment, and the inability of many existing air monitoring systems to operate efficiently in a crisis. The contaminants released circulated within the street canyons, but were also lifted above the urban canopy and transported over large distances, reflecting the fact that pollutant transport affects multiple scales, from single buildings through city blocks to mesoscales. In this study, ground-and space-based observations were combined with numerical weather forecast fields to initialize fine-scale numerical simulations. The effort is aimed at reconstructing pollutant dispersion from the WTC in New York City to surrounding areas, to provide means for eventually evaluating its effect on population and environment. Atmospheric dynamics were calculated with the multi-grid Regional Atmospheric Modeling System (RAMS), covering scales from 250 m to 300 km and contaminant transport was studied using the Hybrid Particle and Concentration Transport (HYPACT) model that accepts RAMS meteorological output. The RAMS/HYPACT results were tested against PM2.5 observations from the roofs of public schools in New York City (NYC), Landsat images, and Multi-angle Imaging SpectroRadiometer (MISR) retrievals. Calculations accurately reproduced locations and timing of PM2.5 peak aerosol concentrations, as well as plume directionality. By comparing calculated and observed concentrations, the effective magnitude of the aerosol source was estimated. The simulated pollutant distributions are being used to characterize levels of human exposure and associated environmental health impacts.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10652-006-9001-8", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1044514", 
            "issn": [
              "1567-7419", 
              "1573-1510"
            ], 
            "name": "Environmental Fluid Mechanics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "name": "Multiscale Plume Transport from the Collapse of the World Trade Center on September 11, 2001", 
        "pagination": "425-450", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10652-006-9001-8"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "35a298669cbd341e742ff553bffc4452786e84b1a4e58de524652c4f0abdeac8"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1011257132"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10652-006-9001-8", 
          "https://app.dimensions.ai/details/publication/pub.1011257132"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-15T09:23", 
        "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/v90/0000000376_0000000376/records_56190_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s10652-006-9001-8"
      }
    ]
     

    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/s10652-006-9001-8'

    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/s10652-006-9001-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10652-006-9001-8'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10652-006-9001-8'


     

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

    243 TRIPLES      21 PREDICATES      72 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10652-006-9001-8 schema:about anzsrc-for:03
    2 anzsrc-for:0399
    3 schema:author N09fb77ea9e534c5088df76be5d13254f
    4 schema:citation sg:pub.10.1007/978-1-4615-1817-4_12
    5 sg:pub.10.1007/978-1-935704-13-3_16
    6 sg:pub.10.1007/bf00140073
    7 sg:pub.10.1007/bf01025401
    8 sg:pub.10.1007/s00703-001-0584-9
    9 https://doi.org/10.1002/qj.49710243210
    10 https://doi.org/10.1016/0004-6981(77)90112-3
    11 https://doi.org/10.1016/0021-9991(75)90037-6
    12 https://doi.org/10.1016/s0065-2687(08)60131-4
    13 https://doi.org/10.1016/s1352-2310(01)00448-4
    14 https://doi.org/10.1016/s1464-1917(99)00081-1
    15 https://doi.org/10.1021/bk-2006-0919.ch002
    16 https://doi.org/10.1029/2000jd900289
    17 https://doi.org/10.1029/2000jd900497
    18 https://doi.org/10.1029/2002jd002107
    19 https://doi.org/10.1029/2003eo030001
    20 https://doi.org/10.1029/2003jd004495
    21 https://doi.org/10.1029/2004gl019771
    22 https://doi.org/10.1029/93jd02916
    23 https://doi.org/10.1029/jc087ic12p09455
    24 https://doi.org/10.1029/rg020i004p00851
    25 https://doi.org/10.1080/10473289.1998.10463737
    26 https://doi.org/10.1109/36.700992
    27 https://doi.org/10.1109/tgrs.2002.801150
    28 https://doi.org/10.1109/tgrs.2002.801160
    29 https://doi.org/10.1126/science.278.5339.827
    30 https://doi.org/10.1175/1520-0434(1996)011<0391:cttoea>2.0.co;2
    31 https://doi.org/10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2
    32 https://doi.org/10.1175/1520-0450(1980)019<1037:aniosf>2.0.co;2
    33 https://doi.org/10.1175/1520-0450(2000)039<0931:cabhmf>2.0.co;2
    34 https://doi.org/10.1175/1520-0469(1974)031<1232:fsotpo>2.0.co;2
    35 https://doi.org/10.1175/1520-0469(1974)031<1791:ahotcm>2.0.co;2
    36 https://doi.org/10.1175/1520-0469(1978)035<1070:tsotdc>2.0.co;2
    37 https://doi.org/10.1175/1520-0469(1980)037<1722:npocdm>2.0.co;2
    38 https://doi.org/10.1175/1520-0469(1984)041<0329:sdwcit>2.0.co;2
    39 https://doi.org/10.1175/1520-0469(1990)047<2784:aodepm>2.0.co;2
    40 https://doi.org/10.1175/1520-0469(2004)061<1781:acotco>2.0.co;2
    41 https://doi.org/10.1175/1520-0493(1963)091<0099:gcewtp>2.3.co;2
    42 https://doi.org/10.1175/1520-0493(1988)116<1493:tsmcmd>2.0.co;2
    43 https://doi.org/10.1175/jcli3369.1
    44 https://doi.org/10.1196/annals.1371.002
    45 https://doi.org/10.1256/smsqj.43209
    46 https://doi.org/10.1289/ehp.02110703
    47 https://doi.org/10.1289/ehp.6702
    48 https://doi.org/10.3801/iafss.fss.7-25
    49 schema:datePublished 2006-10
    50 schema:datePublishedReg 2006-10-01
    51 schema:description The collapse of the world trade center (WTC) produced enhanced levels of airborne contaminants in New York City and nearby areas on September 11, 2001 through December, 2001. This catastrophic event revealed the vulnerability of the urban environment, and the inability of many existing air monitoring systems to operate efficiently in a crisis. The contaminants released circulated within the street canyons, but were also lifted above the urban canopy and transported over large distances, reflecting the fact that pollutant transport affects multiple scales, from single buildings through city blocks to mesoscales. In this study, ground-and space-based observations were combined with numerical weather forecast fields to initialize fine-scale numerical simulations. The effort is aimed at reconstructing pollutant dispersion from the WTC in New York City to surrounding areas, to provide means for eventually evaluating its effect on population and environment. Atmospheric dynamics were calculated with the multi-grid Regional Atmospheric Modeling System (RAMS), covering scales from 250 m to 300 km and contaminant transport was studied using the Hybrid Particle and Concentration Transport (HYPACT) model that accepts RAMS meteorological output. The RAMS/HYPACT results were tested against PM2.5 observations from the roofs of public schools in New York City (NYC), Landsat images, and Multi-angle Imaging SpectroRadiometer (MISR) retrievals. Calculations accurately reproduced locations and timing of PM2.5 peak aerosol concentrations, as well as plume directionality. By comparing calculated and observed concentrations, the effective magnitude of the aerosol source was estimated. The simulated pollutant distributions are being used to characterize levels of human exposure and associated environmental health impacts.
    52 schema:genre research_article
    53 schema:inLanguage en
    54 schema:isAccessibleForFree false
    55 schema:isPartOf N30631f29d07c471a859126c140eeb060
    56 N39b7a2ea1c894ca882e36a221b50dc24
    57 sg:journal.1044514
    58 schema:name Multiscale Plume Transport from the Collapse of the World Trade Center on September 11, 2001
    59 schema:pagination 425-450
    60 schema:productId N2ae18110b75c435c8c7ee8c6fa2605dd
    61 N767303a836fb46ef91fb8afe3b4507af
    62 Ndec9ed5281d447c7bfcb6c760d80ef33
    63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011257132
    64 https://doi.org/10.1007/s10652-006-9001-8
    65 schema:sdDatePublished 2019-04-15T09:23
    66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    67 schema:sdPublisher Nc4241b4c1a024de2bfc7cd46a230d74d
    68 schema:url http://link.springer.com/10.1007/s10652-006-9001-8
    69 sgo:license sg:explorer/license/
    70 sgo:sdDataset articles
    71 rdf:type schema:ScholarlyArticle
    72 N09fb77ea9e534c5088df76be5d13254f rdf:first sg:person.0700305323.44
    73 rdf:rest N72a0a6009380459abf5d09a6685acf1a
    74 N219934de3a1a43c5bc3beee2e03bbe41 rdf:first sg:person.013044507315.38
    75 rdf:rest Nd828a5770cb749679a0a333c71c83250
    76 N2ae18110b75c435c8c7ee8c6fa2605dd schema:name dimensions_id
    77 schema:value pub.1011257132
    78 rdf:type schema:PropertyValue
    79 N30631f29d07c471a859126c140eeb060 schema:volumeNumber 6
    80 rdf:type schema:PublicationVolume
    81 N39b7a2ea1c894ca882e36a221b50dc24 schema:issueNumber 5
    82 rdf:type schema:PublicationIssue
    83 N724458d3794540c7a167cbd7b536d869 rdf:first sg:person.01265773631.67
    84 rdf:rest rdf:nil
    85 N72a0a6009380459abf5d09a6685acf1a rdf:first sg:person.010453676167.05
    86 rdf:rest Naa61a6279763444399f71bf3d9ea5cb6
    87 N767303a836fb46ef91fb8afe3b4507af schema:name doi
    88 schema:value 10.1007/s10652-006-9001-8
    89 rdf:type schema:PropertyValue
    90 Naa61a6279763444399f71bf3d9ea5cb6 rdf:first sg:person.07440201353.14
    91 rdf:rest N219934de3a1a43c5bc3beee2e03bbe41
    92 Nc4241b4c1a024de2bfc7cd46a230d74d schema:name Springer Nature - SN SciGraph project
    93 rdf:type schema:Organization
    94 Nd828a5770cb749679a0a333c71c83250 rdf:first sg:person.0773771341.70
    95 rdf:rest N724458d3794540c7a167cbd7b536d869
    96 Ndec9ed5281d447c7bfcb6c760d80ef33 schema:name readcube_id
    97 schema:value 35a298669cbd341e742ff553bffc4452786e84b1a4e58de524652c4f0abdeac8
    98 rdf:type schema:PropertyValue
    99 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    100 schema:name Chemical Sciences
    101 rdf:type schema:DefinedTerm
    102 anzsrc-for:0399 schema:inDefinedTermSet anzsrc-for:
    103 schema:name Other Chemical Sciences
    104 rdf:type schema:DefinedTerm
    105 sg:journal.1044514 schema:issn 1567-7419
    106 1573-1510
    107 schema:name Environmental Fluid Mechanics
    108 rdf:type schema:Periodical
    109 sg:person.010453676167.05 schema:affiliation https://www.grid.ac/institutes/grid.414514.1
    110 schema:familyName Lahoti
    111 schema:givenName Nilesh
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010453676167.05
    113 rdf:type schema:Person
    114 sg:person.01265773631.67 schema:affiliation https://www.grid.ac/institutes/grid.414514.1
    115 schema:familyName Georgopoulos
    116 schema:givenName Panos G.
    117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265773631.67
    118 rdf:type schema:Person
    119 sg:person.013044507315.38 schema:affiliation https://www.grid.ac/institutes/grid.211367.0
    120 schema:familyName Kahn
    121 schema:givenName Ralph
    122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013044507315.38
    123 rdf:type schema:Person
    124 sg:person.0700305323.44 schema:affiliation https://www.grid.ac/institutes/grid.430387.b
    125 schema:familyName Stenchikov
    126 schema:givenName Georgiy
    127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700305323.44
    128 rdf:type schema:Person
    129 sg:person.07440201353.14 schema:affiliation https://www.grid.ac/institutes/grid.211367.0
    130 schema:familyName Diner
    131 schema:givenName David J.
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07440201353.14
    133 rdf:type schema:Person
    134 sg:person.0773771341.70 schema:affiliation https://www.grid.ac/institutes/grid.414514.1
    135 schema:familyName Lioy
    136 schema:givenName Paul J.
    137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773771341.70
    138 rdf:type schema:Person
    139 sg:pub.10.1007/978-1-4615-1817-4_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024524538
    140 https://doi.org/10.1007/978-1-4615-1817-4_12
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1007/978-1-935704-13-3_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041808207
    143 https://doi.org/10.1007/978-1-935704-13-3_16
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1007/bf00140073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033727336
    146 https://doi.org/10.1007/bf00140073
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1007/bf01025401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011888767
    149 https://doi.org/10.1007/bf01025401
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/s00703-001-0584-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047124711
    152 https://doi.org/10.1007/s00703-001-0584-9
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1002/qj.49710243210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035852339
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1016/0004-6981(77)90112-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023683942
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1016/0021-9991(75)90037-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016207471
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1016/s0065-2687(08)60131-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010788416
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1016/s1352-2310(01)00448-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041423757
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1016/s1464-1917(99)00081-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040922152
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1021/bk-2006-0919.ch002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089353333
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1029/2000jd900289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019840115
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1029/2000jd900497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025682036
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1029/2002jd002107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052515309
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1029/2003eo030001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001249604
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1029/2003jd004495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029473590
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1029/2004gl019771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028925153
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1029/93jd02916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047946396
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1029/jc087ic12p09455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013287898
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1029/rg020i004p00851 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040040183
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1080/10473289.1998.10463737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033867602
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.1109/36.700992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061161812
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.1109/tgrs.2002.801150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061608591
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.1109/tgrs.2002.801160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061608595
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.1126/science.278.5339.827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062558512
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1175/1520-0434(1996)011<0391:cttoea>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052689083
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025644996
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1175/1520-0450(1980)019<1037:aniosf>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053292293
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1175/1520-0450(2000)039<0931:cabhmf>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038701377
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1175/1520-0469(1974)031<1232:fsotpo>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047676164
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1175/1520-0469(1974)031<1791:ahotcm>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046590026
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1175/1520-0469(1978)035<1070:tsotdc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039886201
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1175/1520-0469(1980)037<1722:npocdm>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028412099
    211 rdf:type schema:CreativeWork
    212 https://doi.org/10.1175/1520-0469(1984)041<0329:sdwcit>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049701586
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.1175/1520-0469(1990)047<2784:aodepm>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041195238
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.1175/1520-0469(2004)061<1781:acotco>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003886964
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.1175/1520-0493(1963)091<0099:gcewtp>2.3.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063451320
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1175/1520-0493(1988)116<1493:tsmcmd>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000490326
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1175/jcli3369.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038624267
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1196/annals.1371.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039189708
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1256/smsqj.43209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064523441
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1289/ehp.02110703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064737697
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1289/ehp.6702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064741900
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.3801/iafss.fss.7-25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071436097
    233 rdf:type schema:CreativeWork
    234 https://www.grid.ac/institutes/grid.211367.0 schema:alternateName Jet Propulsion Lab
    235 schema:name Jet Propulsion Laboratory, California Institute of Technology, 91109, Pasadena, CA, USA
    236 rdf:type schema:Organization
    237 https://www.grid.ac/institutes/grid.414514.1 schema:alternateName Environmental and Occupational Health Sciences Institute
    238 schema:name Department of Environmental and Occupational Medicine, UMDNJ—R.W. Johnson Medical School, 08854, Piscataway, NJ, USA
    239 Environmental & Occupational Health Sciences Institute, UMDNJ—R.W. Johnson Medical School & Rutgers University, 08854, Piscataway, NJ, USA
    240 rdf:type schema:Organization
    241 https://www.grid.ac/institutes/grid.430387.b schema:alternateName Rutgers University
    242 schema:name Department of Environmental Sciences, Rutgers University, 08901, New Brunswick, NJ, USA
    243 rdf:type schema:Organization
     




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


    ...