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CUSTIC software: Noise pollution map produced by three sources (XY-plane)

Noise pollution software: noise barrier wall, noise pollution control, industrial noise control, environmental engineering, environmental consultancy service, environment simulation, environmental modeling and environmental impact assessment.

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the next. Thus, one cannot simply say that the noise level at a given location or that experienced by a person at that location is "so many decibels" unless a suitable method is used to average the time-varying levels. To describe the noise completely requires a statistical approach. Consequently, one should consider the noise exposure, which is received by an individual moving through different noisy spaces. This exposure is related to the whole time-varying pattern of sound levels. Such a noise exposure can be described by the cumulative distribution of sound levels, showing exactly what percent of the whole observation period each level was exceeded.

A complete description of the noise exposure would distinguish between daytime, evening and nighttime, and between weekday and weekend noise level distributions. It would also give distributions to show the difference between winter and summer, fair weather and foul.

The practical difficulty with the statistical methodology is that it yields a large number of statistical parameters for each measuring location; and even if these were averaged over more or less homogeneous neighborhoods, it still would require a large set of numbers to characterize the noise exposure in that neighborhood. It is literally impossible for any such array of numbers to be effectively used either in an enforcement context or to map existing noise exposure baselines.

It is essential, therefore, to look further for a suitable single-number measure of noise exposure. Note that the ultimate goal is to characterize with reasonable accuracy the noise exposure of whole neighborhoods (within which there may actually exist a fairly wide range of noise levels), so as to prevent extremes of noise exposure at any given time, and to detect unfavorable trends in the future noise climate. For these purposes, pinpoint accuracy and masses of data for each location are not required, and may even be a hindrance, since one could fail to see the forest for the trees.

A number of methodologies for combining the noise from both individual events and quasi-steady state sources into measures of cumulative noise exposure have been developed in this country and in other developed nations, e.g., Noise Exposure Forecast, Composite Noise Rating, Community Noise Equivalent Level, Noise and Number Index, and Noise Pollution Level. Many of these methodologies, while differing in technical detail (primarily in the unit of measure for individual noise events), are conceptually similar and correlate fairly well with each other. Further, using any one of these methodologies, the relationships between cumulative noise exposure and community annoyance^A-4,A-5 also correlate fairly well. It is therefore unnecessary to invent a new concept for the purpose of identifying levels of environmental noise. Rather, it is possible to select a consistent measure that is based on existing scientific and practical experience and methodology and which meets the criteria presented in Section 2 of the body of this document. Accordingly, the Environmental Protection Agency has selected the Equivalent Sound Level (L_eq) for the purpose of identifying levels of environmental noise.

ENVIRONMENTAL NOISE: FW0 - FW1 - FW2 - FW3 - FW4 - FW5 - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - a1 - a2 - a3 - a4 - a5 - a6 - a7 - a8 - a9 - a10 - a11 - a12 - a13 - a14 - a15 - a16 - a17 - a18 - a19 - a20 - a21 - a22 - a23 - a24 - a25 - a26 - b1 - b2 - b3 - b4 - b5 - b6 - b7 - b8 - b9 - b10 - b11 - b12 - c1 - c2 - c3 - c4 - c5 - c6 - c7 - c8 - c9 - c10 - c11 - c12 - c13 - c14 - c15 - c16 - c17 - c18 - c19 - c20 - d1 - d2 - d3 - d4 - d5 - d6 - d7 - d8 - d9 - d10 - d11 - d12 - d13 - d14 - d15 - d16 - d17 - d18 - d19 - d20 - d21 - d22 - d23 - d24 - d25 - d26 - d27 - d28 - d29 - d30 - d31 - d32 - d33 - d34 - d35 - d36 - d37 - d38 - d39 - e1 - e2 - e3 - e4 - e5 - e6 - e7 - f1 - f2 - g1 - g2 - g3 - g4 - g5 - g6 - g7 - g8 - g9 - g10 - g11 - g12 - g13 - g14 - g15

                                                                               

Canarina Algoritmos Numéricos, S.L.

Environmental software solutions

Software para contaminación del ambiente  

38300 LA OROTAVA, ,

Islas Canarias, España

e-mail: contact us

 

 

 

European network on pollution · European Union

Member of MAPO: European network on Marine Pollution.

Project funded by the European Commission

through the 6th Framework Programme for Research and Development

noise barrier wall

 

 

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CUSTIC: Noise pollution · CUSTIC - Software solutions - Software advantages - Price - DEMO download

DATA: Input data I - Input data II - Input data III - Input data IV - Input data V - Import and export data - Software commands

ENVIRONMENTAL NOISE: FW0 - FW1 - FW2 - FW3 - FW4 - FW5 - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - a1 - a2 - a3 - a4 - a5 - a6 - a7 - a8 - a9 - a10 - a11 - a12 - a13 - a14 - a15 - a16 - a17 - a18 - a19 - a20 - a21 - a22 - a23 - a24 - a25 - a26 - b1 - b2 - b3 - b4 - b5 - b6 - b7 - b8 - b9 - b10 - b11 - b12 - c1 - c2 - c3 - c4 - c5 - c6 - c7 - c8 - c9 - c10 - c11 - c12 - c13 - c14 - c15 - c16 - c17 - c18 - c19 - c20 - d1 - d2 - d3 - d4 - d5 - d6 - d7 - d8 - d9 - d10 - d11 - d12 - d13 - d14 - d15 - d16 - d17 - d18 - d19 - d20 - d21 - d22 - d23 - d24 - d25 - d26 - d27 - d28 - d29 - d30 - d31 - d32 - d33 - d34 - d35 - d36 - d37 - d38 - d39 - e1 - e2 - e3 - e4 - e5 - e6 - e7 - f1 - f2 - g1 - g2 - g3 - g4 - g5 - g6 - g7 - g8 - g9 - g10 - g11 - g12 - g13 - g14 - g15

ALGORITHMS: Algorithms I - Algorithms II