The spatial (noise) prediction of the generator noise levels in E Mansouriya for the winter of 2015 in December and the summer of 2016 in May

Abstract

The study dealt with the problem of noise pollution in most of the Iraqi cities, if not all, but the noise of generators in the center of Al Mansouriya area, which occupies an area of ​​331969 dunums and located in the northern part of the district of Khalis in Diyala province, 34.23) and between longitudes (44.39) and (45) east.This is due to the random distribution of the civil generators in the research area, as they were concentrated in the old neighborhood without any other residential neighborhood. This explains the reason for the rise in noise In the residential district and not compared to the population of the search area, reaching (19870) people for the year 2016 after it was (10338) for the year 2009. The study concluded that the maximum noise level was recorded at the birth site (14) with a noise level of (108.7db) for the summer of 2016, while the lowest noise level was at (17) with a noise level of 82.5 db for the winter of 2015, While the levels of noise increased significantly in the summer of 2016 compared to the winter of 2015. The researcher attributed this rise to the effect of temperature and speed and direction of wind in the search area, where the noise levels for the summer of 2016 ranged between (91.4db - 108.7db) , While the noise levels of the winter of 2015 ranged between (82.5db - 97.1db), exceeding the pain threshold for ear, hearing and (80.74bb) for the winter of 2015 and summer 2016. The research was based on the measurement of noise levels using the Digital sound level meter, Geostatistical Analyst In Arc map10.1, for the purpose of analyzing the spatial data of each site, and then extracting the spatial distribution map to generate the brightness of the raster generator sites, based on the measurements of each point of the eligibility generator in the Mansouriya area, With the sound The distance of 50 meters is considered as the program predicts the presence of noise in the generators and spatial scales closer to those distant from the monitoring source, indicating the chromatic gradient in the search maps