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

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.

[1]  William C. Malm,et al.  A 10‐year spatial and temporal trend of sulfate across the United States , 2002 .

[2]  Georgiy L. Stenchikov,et al.  Spectral nudging to eliminate the effects of domain position and geometry in regional climate model simulations , 2004 .

[3]  Jan-Peter Muller,et al.  Operational retrieval of cloud-top heights using MISR data , 2002, IEEE Trans. Geosci. Remote. Sens..

[4]  H. Davies,et al.  A lateral boundary formulation for multi-level prediction models. [numerical weather forecasting , 1976 .

[5]  The 2003 North American electrical blackout: An accidental experiment in atmospheric chemistry , 2004 .

[6]  J. Kain,et al.  A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization , 1990 .

[7]  B. A. Boughton,et al.  A stochastic model of particle dispersion in the atmosphere , 1987 .

[8]  J. Fritsch,et al.  Numerical Prediction of Convectively Driven Mesoscale Pressure Systems. Part I: Convective Parameterization , 1980 .

[9]  K. Emanuel,et al.  The Representation of Cumulus Convection in Numerical Models , 1993 .

[10]  J. Gaffney,et al.  Urban aerosols and their impacts : lessons learned from the World Trade Center Tragedy , 2005 .

[11]  R. Bornstein,et al.  Urban-rural wind velocity differences , 1977 .

[12]  J. Klemp,et al.  The Simulation of Three-Dimensional Convective Storm Dynamics , 1978 .

[13]  Roger A. Pielke,et al.  Coupled Atmosphere–Biophysics–Hydrology Models for Environmental Modeling , 2000 .

[14]  J. Harrington,et al.  The effects of radiative and microphysical processes on simulated warm and transition season arctic stratus , 1997 .

[15]  G. Stenchikov,et al.  The impact of aerosols on solar ultraviolet radiation and photochemical smog. , 1997, Science.

[16]  R. Coulter,et al.  The evolution of the boundary layer and its effect on air chemistry in the Phoenix area , 2000 .

[17]  H. Kuo Further Studies of the Parameterization of the Influence of Cumulus Convection on Large-Scale Flow , 1974 .

[18]  Richard C. J. Somerville,et al.  On the use of a coordinate transformation for the solution of the Navier-Stokes equations , 1975 .

[19]  Slobodan Nickovic,et al.  The Step-Mountain Coordinate: Model Description and Performance for Cases of Alpine Lee Cyclogenesis and for a Case of an Appalachian Redevelopment , 1988 .

[20]  William R. Cotton,et al.  A Numerical Investigation of Several Factors Contributing to the Observed Variable Intensity of Deep Convection over South Florida , 1980 .

[21]  Pollutant transport during a regional O3-episode in the mid-Atlantic states. , 1998, Journal of the Air & Waste Management Association.

[22]  P. Georgopoulos,et al.  The Anatomy of the Exposures That Occurred around the World Trade Center Site , 2006, Annals of the New York Academy of Sciences.

[23]  P. Thunis,et al.  Observation and Simulation of Urban-Topography Barrier Effects on Boundary Layer Structure Using the Three-Dimensional TVM/URBMET Model , 1994 .

[24]  G. Kallos,et al.  The role of anthropogenic and biogenic emissions on tropospheric ozone formation over greece , 1999 .

[25]  W. Cotton,et al.  RAMS 2001: Current status and future directions , 2003 .

[26]  C. Olsen,et al.  WTC geochemical fingerprint recorded in New York Harbor sediments , 2003 .

[27]  Thomas M. Smith,et al.  An Improved In Situ and Satellite SST Analysis for Climate , 2002 .

[28]  Bernard Pinty,et al.  Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview , 1998, IEEE Trans. Geosci. Remote. Sens..

[29]  Jung-Hun Woo,et al.  The MICS-Asia study: Model intercomparison of long-range transport and sulfur deposition in East Asia , 2002 .

[30]  Panos G Georgopoulos,et al.  Health and environmental consequences of the world trade center disaster. , 2004, Environmental health perspectives.

[31]  Glenn P. Forney,et al.  Initial Model For Fires In The World Trade Center Towers , 2003 .

[32]  T. Clark,et al.  Severe Downslope Windstorm Calculations in Two and Three Spatial Dimensions Using Anelastic Interactive Grid Nesting: A Possible Mechanism for Gustiness , 1984 .

[33]  J. Smagorinsky,et al.  GENERAL CIRCULATION EXPERIMENTS WITH THE PRIMITIVE EQUATIONS , 1963 .

[34]  John S. Kain,et al.  Convective parameterization for mesoscale models : The Kain-Fritsch Scheme , 1993 .

[35]  G. Mellor,et al.  Development of a turbulence closure model for geophysical fluid problems , 1982 .

[36]  G. Mellor,et al.  A Hierarchy of Turbulence Closure Models for Planetary Boundary Layers. , 1974 .

[37]  D. Deaven,et al.  Changes to the Operational ''Early'' Eta Analysis / Forecast System at the National Centers for Environmental Prediction , 1996 .

[38]  A. Robock,et al.  Regional Climate Simulations over North America: Interaction of Local Processes with Improved Large-Scale Flow , 2005 .

[39]  Ralph A. Kahn,et al.  Sensitivity of multiangle imaging to natural mixtures of aerosols over ocean , 2001 .

[40]  W. Malm,et al.  Spatial and seasonal trends in particle concentration and optical extinction in the United States , 1994 .

[41]  R. Pielke,et al.  A comprehensive meteorological modeling system—RAMS , 1992 .

[42]  Daniel Vallero,et al.  Characterization of the dust/smoke aerosol that settled east of the World Trade Center (WTC) in lower Manhattan after the collapse of the WTC 11 September 2001. , 2002, Environmental health perspectives.

[43]  Susan Paradise,et al.  MISR stereoscopic image matchers: techniques and results , 2002, IEEE Trans. Geosci. Remote. Sens..

[44]  R. Bernstein,et al.  Sea surface temperature estimation using the NOAA 6 satellite advanced very high resolution radiometer , 1982 .

[45]  Airborne Characterization of the Chemical, Optical, and Meteorological Properties, and Origins of a Combined Ozone-Haze Episode over the Eastern United States , 2004 .