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SUPPORTING THE DATA NEEDS OF THE COASTAL COMMUNITY II: HURRICANE FLOYD POST-EVENT
Citation:
LeDuc, S K. SUPPORTING THE DATA NEEDS OF THE COASTAL COMMUNITY II: HURRICANE FLOYD POST-EVENT. Presented at 17th Conference on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, Boston, MA, January 14-19, 2001.
Impact/Purpose:
The objectives of this task are to continuously develop and improve the Community Multiscale Air Quality (CMAQ) modeling system, which is the science implementation within the Models-3 system framework for air quality simulation. CMAQ is a multiscale and multi-pollutant chemistry-transport model (CTM) that includes the necessary critical science process modules for atmospheric transport, deposition, cloud mixing, emissions, gas- and aqueous-phase chemical transformation processes, and aerosol dynamics and chemistry. It relies on Models-3 I/O API to support machine independent data access and maintains simple interfaces among science processor modules to provide a high-level of modularity.
Description:
The Environmental Protection Agency (EPA) is cooperating with federal, state, and local organizations in developing tools necessary to predict the effects on water quality of various events. The most dramatic of these events in recent years was the extensive damage to fragile coastal environments in the State of North Carolina as a result of Hurricane Floyd. This event and the runoff from this event had major impacts on the water quality. Pollutants on the earth's surface can be transported into surface water bodies inland and in coastal areas. Hurricane flooding, like that associated with Hurricane Floyd, can transport tremendous amounts of animal waste and pesticides from agricultural lands into a river. Pollutants can also enter the surface water bodies via groundwater recharge during such storm events. This event serves as a dramatic example of the data needs for analyzing impacts. The data acquired and presented were all available for Internet access and tools were developed to process and present data in an interpretive form. This capability is indicative of the potential use and interest EPA has in the National Coastal Data Development Center (NCDDC).