Development of improved ambient computation methods in support of the National Parks Air Tour Management Act

Rapoza, Amanda S.; MacDonald, J. M.; Hastings, Aaron; Scarpone, Chris; Lee, Cynthia S. Y.; Fleming, Gregg G.

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Development of improved ambient computation methods in support of the National Parks Air Tour Management Act

2008-09-01
By Rapoza, Amanda S. ; MacDonald, J. M. ; Hastings, Aaron

File Language:

English

Details

Creators:

Rapoza, Amanda S. ; MacDonald, J. M. ; Hastings, Aaron ; Scarpone, Chris ; Lee, Cynthia S. Y. ; Fleming, Gregg G.
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Subject/TRT Terms:
Publication/ Report Number:

DOT-VNTSC-NPS-11-08
Resource Type:

Research Paper
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

John A. Volpe National Transportation Systems Center (U.S.)
Abstract:

Approximately 85 National Park units with commercial air tours will need Air Tour ; Management Plans (ATMPs). The objective of an ATMP is to prevent or mitigate ; significant adverse impacts to National Park resources. Noise impacts must be ; characterized in relation to representative baseline ambient sound levels. ; Computing ambient sound levels for acoustic conditions in National Parks is not ; straightforward. The National Park Service and Federal Aviation Administration, ; both supported by the Volpe Center, are evaluating current methods and developing ; standards for computing ambient sound levels in National Parks. This report ; describes the results of several on-going analyses: (1) Analysis of ambient data ; measured under high-wind conditions; (2) Quantification of the differences between ; in situ observer logging versus offline review of digital recordings; and (3) ; Computation of natural ambient and existing ambient without air tours.
Format:

PDF
Funding:

VX-82/EM518
Download URL:

https://rosap.ntl.bts.gov/view/dot/6475/dot_6475_DS1.pdf
File Type:

[PDF - 2.21 MB]
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha-512:2a49fe57d90724799c4607b75d62341d8a3e25152cd637f41a6b4a796ef17aed4830d2214405aff4971c077f74eae27cc593bfc47ae676742cc95ccd46d51fba

File Language:

English

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