Noise pollution is a major environmental problem in many urban areas. This problem is not adequately recognized, although it is growing steadily in developing countries (Barboza et al., 1995). Davis and Masten (2004) stated three reasons why the generally acknowledged problem of noise pollution is not similarly realized with air and water pollution problems.
Thesereasons in the definition and perception of noise are summarized as subjective experience, short decay time and difficulty associated with the cause when it comes
to health impacts.
Existing evidence suggests that noise pollution may have negative impacts
Human health justification studies to provide a better understanding of noise
Pollution issues and control (Georgiadou et al., 2004). Noise pollution is stated as a serious health hazard (Bies and Hansen 1996), with noise-related injuries ranging from upsetting people to madness and death (Mato and Mufuruki,
1999).
Maschke (1999) treated the impact of noise as a stress sensor, and stated that
the stress caused by noise has a psychosocial component. Nelson (1987) reported.
Prolonged exposure to high levels of occupational noise may result in permanent hearing loss
In addition, the effects of sophisticated noise may include upset, worsening of sleep quality and stress-related ischemic heart disease (NHC, 1997; Morrell et al., 1997).
Adverse effects due to exposure to noise may include interference with speech
Children learn skills for communication and fewer and fewer s (Mato and Mufuruki,
1999). Recently, attempts have been made to estimate the health and economic impacts
due to noise pollution.
Franssen et al. (2002) showed that an important part
hypertension, when they proposed a comprehensive, attribution to aviation noise
was estimated in Environmental Impact Assessment of the Health Consequences Approach
Due to the noise resulting from the operation of Schiphol Airport in Amsterdam.
Moreover, there have been some attempts to financially quantify the costs of damage to residential areas and the environment due to noise pollution (Levinson and Gillen 1997; Theebe 2004).
Traffic is a controlled source of noise (Skanberg and Ohrstrom 2002) and is a major source of
annoyance and annoyance as cited in social surveys (Pandya,
2003). In addition, traffic noise has a significant economic impact on housing prices.
Theebe (2004) reported that in rising prices, the impact of traffic noise
on house prices reached a maximum of about 5% compared to an average of 12%.
This has featured researchers in many countries investigating and mapping traffic noise pollution problems
In Oman, the noise pollution situation in the greater municipality of Jordan ,
Similar to that in many urban areas. Actual traffic noise data and information
is very scarce in Oman. Data collection and agglomeration is an important element in the assessment and management of noise in urban environments (Sommerhoff et al., 2004).
Analysis of traffic noise often constitutes an important
component of any environmental impact assessment that is required
Highway development and improvement (Bhattacharya et al., 2002) . In addition, the measurement and estimation of traffic noise is a major task that may lead to the development of efficient methods for control (Geordiadou 2004).
Daytime and nighttime noise reductions indicate significant reductions
are achieved due to the presence of obstacles, with minimal noise
A reduction of 9 dB (A) in Circle 8 and maximum noise reduction of 17 dB (A)
On University Street. During daylight hours, the barrier smoothly cancels out noise originating from sources other than the background.
Average nighttime
Noise levels in front of obstacles are greater than average background
Consisting of 1.79¨C6.21 dB (A) noise, indicating traffic noise A more noticeable problem during the night than during the day.
Study believes that CTRN method can be used to predict road traffic
Noisy conditions for road and transport flow in Oman.
The CTRN method is
reasonable in predicting nighttime noise levels compared to daytime noise levels. This
can be attributed to the relatively higher daytime background noise levels
indicating higher daytime noise levels in the absence of traffic noise.