[WEEK 1]
First week of our Mini Project Assignment for Noise Monitoring and Assessment Result! We got to learn the standard procedures of setting up and shutting the Sound Level Meter as well as collecting data for the assessment. We arrived at the location at 5;39 pm and started monitoring for 1 hour period.
👂👂👂👂👂👂👂👂👂👂👂👂Noise Monitoring and Assessment Result👂👂👂👂👂👂👂👂👂👂👂👂
First week of our Mini Project Assignment for Noise Monitoring and Assessment Result! We got to learn the standard procedures of setting up and shutting the Sound Level Meter as well as collecting data for the assessment. We arrived at the location at 5;39 pm and started monitoring for 1 hour period.
👂👂👂👂👂👂👂👂👂👂👂👂Noise Monitoring and Assessment Result👂👂👂👂👂👂👂👂👂👂👂👂
Measurement
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Date:
2 November 2016
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Time:
5.39-6.39 pm
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Measurement
Time: 1 Hour
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Equipment
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Sound
Level Meter
Model:
Extech Instrument
Serial
No: 150105006
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Weather Condition
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Weather
Equipment Serial No: SM 15413297
Pressure
(Pa): 1015hPa
Cloud
Cover: Partly Cloudy
Average
Wind Speed: 3kph
Temperature:
32oC
Humidity (%): 64% |
Precipitation:
Raining
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Description and Operating Condition of
the Sound Source
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Location
of site: Simpang Ampat Toll, Alor Gajah
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Description of Site: Simpang
Ampat toll is located opposite of the roundabout of Simpang Ampat and is also
located beside the Highway
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Building
Geometry: Open Area
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Ground
Cover & Condition: Tar road
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Parameters
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Height
of Microphone (Hr): 1.0m/3 ft
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Height
of Source (Hs): 1.8 m
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Distance
between source and microphone (r): 6.8 m
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Road Traffic
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No.
Of Heavy Vehicles (>3500kg)
40
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No. Of Light Vehicle
321
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Average
Speed: 35 km/h
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So this is our first week for this noise assessment and monitoring. Our task was to monitor the
noise pollution that may or may not affect the workers around the Simpang Ampat
Toll area for 1 hour. Therefore, we decided to provide a graph in
order to simplify the result which allows us to observe the data changes during
the hour.
Overview
First, the data L10 shows the noise level exceeded for 10% of the time of the measurement duration. This usually is to indicate the peak noise during that time period, which for us was because at that time there was heavy oil-tankers passing by. So according to the data, the L10 that was obtained for this week was 72.1dB. Next, L50 is used to indicate the level exceeded 50% of the time, which means noises were at the mid-point of the noise reading (slightly above average for the area), which was recorded at 67.7dB. After that, L90 is noise level that exceeded for 90% of the time, which generally represent the ambient or background noise of that area. The result for L90 was 62.8dB. After that, the value of Max dB for this week is 116.3dB. This was may be because of large motorcycles passing by at a high speed, which emits high noise level that is harmful for our ears. Lastly, is the Leq which is actually the Sound Pressure Level in dB which is also known as average energy emitted throughout the time period at the toll station. So for the Leq the value was 80.7dB.
First, the data L10 shows the noise level exceeded for 10% of the time of the measurement duration. This usually is to indicate the peak noise during that time period, which for us was because at that time there was heavy oil-tankers passing by. So according to the data, the L10 that was obtained for this week was 72.1dB. Next, L50 is used to indicate the level exceeded 50% of the time, which means noises were at the mid-point of the noise reading (slightly above average for the area), which was recorded at 67.7dB. After that, L90 is noise level that exceeded for 90% of the time, which generally represent the ambient or background noise of that area. The result for L90 was 62.8dB. After that, the value of Max dB for this week is 116.3dB. This was may be because of large motorcycles passing by at a high speed, which emits high noise level that is harmful for our ears. Lastly, is the Leq which is actually the Sound Pressure Level in dB which is also known as average energy emitted throughout the time period at the toll station. So for the Leq the value was 80.7dB.
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