Noise Level Lab Report Group 1 EC2206A1B PDF

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ENVIRONMENTAL ENGINEERING LABORATORYECW 568OPEN-ENDED LAB REPORTTITLE OF EXPERIMENT : NOISE LEVELDATE OF EXPERIMENT : 8TH APRIL 2021GROUP : EC2206A1BGROUP MEMBERS 1. ALI IMRAN BIN AMIR (2018414094)2. EVEME SHIRLY NGUI (2018414158)3. NURUL NABILAH BINTI MOKTAR (2018298246)LECTURER : IR. TS. ZAIZATUL ...

Description

ENVIRONMENTAL ENGINEERING LABORATORY ECW 568 OPEN-ENDED LAB REPORT

TITLE OF EXPERIMENT DATE OF EXPERIMENT

: NOISE LEVEL : 8TH APRIL 2021

GROUP

: EC2206A1B

GROUP MEMBERS

1. ALI IMRAN BIN AMIR (2018414094) 2. EVEME SHIRLY NGUI (2018414158) 3. NURUL NABILAH BINTI MOKTAR (2018298246)

LECTURER

: IR. TS. ZAIZATUL ZAFFLINA BINTI MOHD ZAKI

LEVEL OF OPENESS

:

1 MARKS

COMMENTS

INTRODUCTION BASIC CONCEPTS METHODOLOGY RESULTS&ANALYSIS

1

2

3

4

5

DISCUSSION

1

2

3

4

5

CONCLUSION

1

2

3

4

5

ORGANIZATION

1

2

3

4

5

TOTAL MARKS

1.0

INTRODUCTION Noise is derived from the Latin word ‘nausea’ implying ‘unwanted sound’ or ‘sound

that is loud, unpleasant or unexpected’. The noise originates from human activities, especially the urbanization and the development of transport and industry. Though, the urban population is much more affected by such pollution, however, small town and villages along side roads or industries are also victim of this problem. Noise is becoming an increasingly omnipresent, yet unnoticed form of pollution even in developed countries. In measuring the noise level, temperature, humidity, atmospheric pressure, wind, dust and from magnetic field can all affect the performance of noise measuring instruments and the data measured. Therefore, preparations on the procedures of measurement are very important in order to obtain the accurate data reading as well as to achieve the objective of the experiment.

2.0

OBJECTIVES 1. To measure the level of noise at the selected study locations. 2. To analyse data and interpret the results of the experiment.

3.0

PROBLEM STATEMENT UiTM Shah Alam is known to be one of the busiest campus. With the increase of

students’ enrolment, high traffic volume is expected surrounding the campus and this significantly contribute to noise pollution. High noise level from the traffic will cause disturbance to learning process in classroom.

4.0

APPARATUS a) Noise Level Meter

5.0

PROCEDURE

1. The noise level meter was switched on. The time response selected was fast mode and frequency weighting (A) was selected. 2. The range was selected using the up and down button which is from 30dB to 130dB. 3. The noise level meter was held comfortably in hand and the microphone was pointed towards the noise source. The sound pressure level that was displayed on the meter’s LCD was observed. 4. The MAX button was pressed to select the maximum hold, the noise level reading displayed on the screen is recorded. 5. The MAX button was pressed again to clear the previous reading. The data was taken for 40 minutes with one minute time interval. 6. The maximum and minimum level of noise within 10 minutes were recorded after the data collection. 7. The same procedure was repeated in the second location.

6.0

RESULTS AND DATA ANALYSIS

RESULTS A set of data for Noise Level test recorded during experimental session in Faculty of Civil Engineering, UiTM Shah Alam as tabulated in Table 1 below. The data were recorded separately in two locations during peak hour, started at 8.00 am and the data were taken in 1 minute time interval. After 40 minutes of data collection, maximum and minimum level of noise at each location within 10 minutes of time were also recorded.

Table 1: Noise reading of Location A and B in 40 minutes duration with 1 minute interval Noise Reading (dB) Minute

Location A

Location B

1

78

120.3

2

75.5

3

Noise Reading (dB) Minute

Location A

Location B

21

61.3

115.2

120.5

22

60.2

112

62.2

125.4

23

58

110

4

69.8

120.2

24

57.3

118

5

70

118.7

25

60.2

112

6

66

120

26

65

114.3

7

61

129.2

27

66.1

115.2

8

64.8

119.2

28

63

116.2

9

78

117.5

29

60.2

117.2

10

69.3

128.2

30

65

113

11

78

118.2

31

60

110.2

12

75.5

121

32

58

103.2

13

62.2

120.3

33

57.2

108.2

14

69.8

115.2

34

58.2

100

15

70

125.8

35

55

106

16

66

121

36

59

104.2

17

61

114

37

55.6

104.3

18

64.8

113.2

38

54.2

103.1

19

65.2

112

39

55.3

102

20

60.1

124

40

54.8

105.1

Table 2: Maximum and minimum noise reading of Location A and B Reading in 10 Location A

Location B

minutes Min

55.2

110.3

Max

63.1

121.6

DATA ANALYSIS A graph of noise reading (dB) of Location A and B against time was constructed by using obtained data as below.

Noise Reading vs Time 140 120 100 80 60 40 20 0 0

5

10

15

20

Noise Reading (dB) Location A

25

30

35

Noise Reading (dB) Location B

40

45

CALCULATION Location A; L10 = 75.5 L50 = 62.2 L90 = 55.3 NPL = 62.2 + (75.5 -55.3) + = 89.2 dB

(75.5−55.3)² 60

Location B; L10 = 124 L50 = 115.2 L90 = 103.2 NPL = 62.2 + (124 -103.2) + = 143.2 dB

(124−103.2)² 60

7.0

DISCUSSION Based on the experiment that have been conducted, the result showing the data that

needed to be analyse so the location of the experiment can be determine. Based on the result in location A the range of the noise reading in 40 minutes duration with 1 minute interval is from 54.2 dB to 78.0 dB while in location B the range between 100.0 dB to 128.2 dB. Every 1minute interval in location A, the noise reading is getting scattered which can be known that the source of the noise come from different sources. From the observation it can be determine that the location A is an indoor area. Example of it can be known in cafeteria at the faculty as it seems to be quite busy during the morning session. This is because some student and staff are having breakfast before entering the class so, the places will get crowded and eventually will produce a lot of noises. Besides that, the machinery in the laboratory at faculty of civil engineering give a lot of impact to the noises surrounding as it created a lot of noises. As the time goes by, the noise reading become decreasing because of the student will enter their own classes which will make some places not too crowded. As we observe that when the time is 15minute pass 8 which will make the class occupied by the students meaning that the noise reading will be increase. The minimum reading of noise that we get in location A is 55.2 dB while the maximum is 63.1 dB. Although the range of the noise can be acceptable, but it still can give impact to the learning process of student. This is because those range of noise reading can disturb their hearing when they are exposed to the frequency continuously. Based on the data, location B is at the entrance of UiTm Shah Alam that located near to the Seksyen 7. There are a lot of vehicles at peak hour which the staff and the students arrived at campus to do their work. From the data recorded, it shows that the maximum level of noise reading in 10 minutes was 121.6 dB while the minimum was 110.3 dB. According to the observation, the data shows that the location is polluted because the highest frequency exceeded the permissible limit of sound level. The source of the noises come from the vehicle used by the staff and the students to arrive at UiTM that causing traffic jam near the entrance every working day. The impact of it causing the environment to become disrupted as the noises also seem to be influence by the behaviour of the people that drive the vehicle. To make sure the noise pollution can be prevented there are a lot of method can used. One of the methods is by applying the green wall structured for a noise pollution reduction. We can build the green wall structure at the Laboratory at the Faculty Civil Engineering which is the nosiest area of the building. This will help to reduce the noise of the machine so; the

noise level can be reduced to achieve the permissible level. Finally, there are several errors might occur such as experimental error and systematic error. Experimental error can exist when the sound level meter is not used properly. To reduce the error, the analysis procedure must be done accurately and precisely for obtain accurate result. Besides, systematic error can occur during the analysis of the data hence it will affect the result. Therefore, it can be concluded that the selected location is having a noise pollution and the mitigation measures should be taken to reduce the noise pollution.

8.0

CONCLUSION In conclusion, the objectives of this study have been achieved. The level of noise was

measured at two different location in UiTM Shah Alam during peak hours which are Location A and Location B. Prediction for the location A based on the analysis is the hallway near cafeteria and machinery room and Location B is the entrance of Uitm Shah Alam near seksyen 7. Based on the analysis of the data, the lowest traffic noise level at location A is 54.2dB whereas the highest noise level is recorded at the 1st , 9th, and 11th minute with a reading of 78.0dB. For the second location, the highest reading was recorded at 129.2dB in minute 7. The lowest noise level at location B is 102.0dB in minute 39th. The noise level reading in 10 minutes for location A is 55.2dB (min) and 63.1dB(max). For location B, the maximum and minimum reading in 10 minutes time is 121.6dB and 110.3dB respectively. From the data analysis, it clearly shows that the noise level reading in these two locations has surpassed the permissible noise limit around institutional area during daytime. It can be concluded that the study location is experiencing noise pollution which also affects the environment and individuals around the area. The main source that contributed to noise pollution in location B are noises that came from vehicles’ engines and tyres acceleration on the pavements. This can cause discomfort to the teaching and learning process in the classroom and irritation among students nearby the location as well as affect their daily activity. To reduce noise pollution in this area, the responsible authority should take into consideration to build noise barrier to block the sound waves from directly reaching the academic buildings. Planting more trees around the available area can also help curb the noise pollution. This is because trees can attenuate sound by absorbing noise.

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