Noise pollution modeling associated with the operations of the Sarakhs airport

In this paper, a model for the noise pollution of Sarakhs Airport has been calibrated with the use of integrated noise modeling. With result of this modeling we can understand the regions that have high noise in comparing with allowable standard value. At the end explain some methods for decreasing the effects of noise pollution of the airport.


Introduction
The issue of noise pollution from the two perspectives is striking.In terms of the effect of short term it can be fitted to a damage for the moment on the power of the hearing pointed out that after a few moments.But from the perspective of long term compensation effects characterizes the people and different hurts enter fitted in to a few examples of the forklift will be referred.The reason is that in the whole world to the noise pollution caused by aircraft and user design right around it is widely discussed that it is hoped this will be damage and complications caused by noise pollution on the improve communities.

Impact of noise pollution
There are health consequences of elevated sound levels.Noise pollution of airports or other noise can cause hearing impairment, hypertension, ischemic heart disease, annoyance, sleep disturbance, and decreased school performance.Although some hearing loss occurs naturally with age, in many developed nations the impact of noise is sufficient to impair hearing over the course of a lifetime Elevated noise levels can create stress, increase workplace accident rates, and stimulate aggression and other anti-social behaviors.Airport noise has been linked to high blood pressure.Numerous studies have been undertaken which assess the effects of noise on humans, animals, and structures [1].The consequences of exposure to high levels of noise, or simply higher levels of noise for extended duration, range from annoyance to loss of hearing [2].Annoyance is defined as "a feeling of displeasure evoked by noise".While 55 dB has been identified as an annoyance level, 65 dB become a more generally accepted threshold criterion for annoyance.That being said, levels of annoyance are highly subjective [2].A typical conversation is around 60 dB.Note that an increase from a typical conversation to the sound level of a vacuum cleaner is only 10 dB.Furthermore, an increase of 20 dB is representative of a motorcycle at 25 feet.
The time of day that a flight occurs plays a large role in determining the level of annoyance.Annoyance from flights during typical working hours may be minimal.If that same flight occurs in the middle of the night, the annoyance may increase considerably.It should be re-emphasized that the psychological effects of noise are highly subjective [2].The physiological effects of noise pollution on the body offer material evidence of the consequences of noise pollution.Noise pollution has been shown to cause hearing loss, elevated blood pressure, sleep loss, stress, distraction, cardiovascular problems, social behavioral problems, and an overall decrease in quality of living.Lastly, noise pollution has proven to be detrimental to property values in impacted area [3].With consideration to the noise, it is necessary for the residents near airports to limit this pollution near their home.
The FAA has no current standardized directive to ease noise annoyance for the flight paths of arriving and departing aircraft [4].Flight path guidelines would ensure that residents surrounding airports would be subjected to the minimum noise pollution from departing and arriving flights.

Airport noise modeling in this study
The need to model the data of a specific study on the airport's operations.Get this information because of the methodical as by airport Civil Aviation Organization country data are not gathered, it is often difficult.Therefore, we must collect certain information for specific loaders.Input of data related to airplane operations, activity at the airport using the mean values during the period of the desired expression in time.
This data includes the following items are fitted: 1) Physical specifications of the bonds, including any airport flight lines moved ahead meeting or earlier.
2) Percent use the flying runway.
3) The number of airplane flying fleet operations based on the type of airplane noise.4) Separation of daily and nightly operations depending on the type of airplane.
The INM computer program calculates noise exposure contours in the vicinity of airports by using a large database of aircraft flight performance and acoustic data along with airport-specific user-input data.Data was modeled between March 2014 to March 2015.

Sarakhs airport specification
Sarakhs Airport is located in the northeast of IRAN.Tables below show the Sarakhs airport parameters [5].

Modeling of aircraft noise
Using a basic information ever was needed and should be fitted in software used to start entering data in the INM application fitted.
Step one: enter primary information.The second step: enter the profile of the runway.The third step: enter the information on the type of aircraft.The fourth step: enter the desired flight paths.
In the flight path of aircraft tracks and types that directly, a workflow, in the form of the circle is considered to be fitted and specifications on each of the routes, such as the angle of the flow to be fitted.
Step five: enter the information for the analysis of noise pollution.
In the final step must enter the number of daily and night events.This mode should be used to view the type of aircraft and repeat it day and night and see if you consider the average coefficient.
In Table 2, input data for aircrafts in the Sarakhs is described.In Fig. 1, presents a schematic layout of the result of noise contours in the Google Earth map in Sarakhs airport.
In Table 3, standard of noise levels in regions is shown

Fig. 1 .
Fig. 1.Contours of the noise around the airport

Table 1 .
Information of Sarakhs international airport

Table 2 .
Input data for aircrafts in the Sarakhs AircraftInternal usage (percent) International usage (percent)