6.1 Assessment for Ambient Air Impact
In accordance with Technical Guideline for Environmental Impact Assessment
Atmospheric Environment (HJ2.2-2008), the atmosphere assessment for Gulang
County-Twin Towers Industrial Park Road Project is identified at level II, and
Xingminxin Village of Xijing County of Gulang County-S308 Route Road
Project as level III. The assessment for Gulang County-Twin Towers Industrial
Park Road Project will be firstly provided.
6.1.1 Statistics and Analysis of Meteorological Observation
As requested in the Atmosphere Guideline, the routine surface observation for at
least a full year in the last three years of the nearest surface meteorological
observation station from this Project (less than 50km) should be reviewed.
Gulang County Weather Bureau, located at 37°28′48″north latitude,
102°54′0″east longitude, 2.3km from the site of this Project (less than 50km), so the
routine meteorologic data here reflects the climate features of this Project site. And its
meteorologic data of routine surface observation through 2015 will be analyzed in this
assessment.
The high altitude meteorologic data is from the Key Laboratory of
Environmental Quality Modeling of Appraisal Center for Environment & Engineering,
Ministry of Environmental Protection, which is generated from the MM5 mesoscale
numerical model through which the whole nation is divided into 149 ×149 grids with
the resolution of 27km×27km. The raw data provided by this model includes terrain
height, land use, mark of land and water body and vegetation cover etc. The raw
weather data is from the station of University of Wyoming, and using
AermodSystem3.0, the nearest radiosonde weather station from this Project is located,
No. 52681#, the Minqin Meteorological Station with a distance of 128km, geographic
coordinate: 103.08° east longitude, 38.63°north latitude.
(3) Analysis of Meteorological Characteristics
① Wind Direction
The hourly and daily meteorologic data from January to December in 2015 of
Gulang County Weather Bureau is analyzed, and the variations of wind direction for
each month, quarter and over a long period of time are shown in the following Table
6-1 and 6-2.
Table 6-1 Monthly variation of annual mean wind direction
Wind
Direction N NNE NE ENE E ESE SE SSE S SSW SW WSW W WNW NW NNW C
Time
January 6.99 11.56 5.11 0.94 0.54 0.27 0.54 4.44 46.37 9.27 1.21 1.88 1.61 0.54 0.94 5.38 2.42
February 9.38 16.96 5.8 1.19 0.89 0.15 0.74 4.32 34.38 11.16 1.93 1.64 0.74 0.3 1.49 5.95 2.98
March 5.65 18.55 7.93 1.08 0.54 0.67 0.54 4.57 36.56 9.81 1.08 1.61 0.81 0.67 1.61 7.39 0.94
April 10.42 14.86 6.53 1.81 0.56 1.39 0.28 5.42 28.75 10.56 2.22 2.64 1.67 1.25 0.97 9.03 1.67
May 7.8 14.52 5.24 1.21 0.81 1.21 0.94 4.17 33.06 12.63 2.55 2.55 2.15 0.54 2.15 6.99 1.48
June 9.31 11.25 7.22 1.81 1.81 1.25 1.67 6.25 30.69 9.58 3.47 1.81 2.22 0.56 1.53 7.64 1.94
July 7.26 11.96 4.97 1.34 0.54 1.08 0.4 4.3 42.61 12.23 1.08 1.61 1.34 0.54 1.21 6.18 1.34
August 7.66 14.92 6.59 1.21 0.54 0.27 0.67 5.38 34.14 14.25 3.36 1.48 1.08 0 1.61 6.32 0.54
September 8.89 19.44 6.94 1.53 1.11 0.97 0.69 5.14 32.08 7.08 1.25 1.81 0.42 0.56 1.39 7.5 3.19
October 10.43 14.86 6.34 1.81 0.56 1.39 0.28 5.42 28.75 10.56 2.22 2.64 1.67 1.25 0.97 9.03 1.67
November 5.65 18.55 7.93 1.08 0.54 0.67 0.54 4.57 36.56 9.81 1.08 1.61 0.81 0.67 1.61 7.39 0.94
December 9.38 16.96 5.8 1.19 0.89 0.15 0.74 4.32 34.38 11.16 1.93 1.64 0.74 0.3 1.49 5.95 2.98
Table 6-1 Quarterly variation of annual mean wind direction and annual
mean wind frequency
Wind
Direction N NNE NE ENE E ESE SE SSE S SSW SW WSW W WNW NW NNW C
Season
Spring 6.25 11.45 4.75 1.02 0.61 0.63 0.55 3.72 27.7 8.24 1.55 1.45 1.04 0.42 1.16 5.31 24.18
Summer 7.93 15.99 6.57 1.36 0.63 1.09 0.59 4.71 32.8 11.01 1.95 2.26 1.54 0.82 1.59 7.79 1.36
Autumn 8.06 12.73 6.25 1.45 0.95 0.86 0.91 5.3 35.8 12.05 2.63 1.63 1.54 0.36 1.45 6.7 1.27
Winter 3.57 7.6 2.52 0.55 0.37 0.41 0.27 1.92 14.8 3.07 0.55 0.73 0.27 0.23 0.78 2.93 59.32
year-round 5.38 9.36 3.6 0.7 0.47 0.14 0.42 2.9 26.9 6.74 1.03 1.17 0.8 0.28 0.8 3.74 35.52
The statistical results of annual wind frequency show that the south wind is the
predominant wind direction throughout a year in this area.
② Wind speed
The monthly variation of annual mean wind speed in the Project site is
respectively presented in Table 6-3 and Chart 6-1, and quarterly variation of annual
mean wind speed in Table 6-4 and Chart 6-2.
Table 6-3 Monthly variation of annual mean wind speed
Wind
speed
N NNE NE ENE E ESE SE SSE S SSW SW WSW W WNW NW NNW C
Wind
speed
January 1.78 1.98 1.68 1.06 0.82 1.25 0.95 1.68 2.94 2.69 1.02 1.13 0.97 0.88 1.1 1.6 2.31
February 1.72 2.02 1.65 1.24 1.07 0.6 1.0 1.86 2.6 2.63 1.28 0.99 0.88 1.0 1.12 1.65 2.07
March 1.93 2.4 2.22 2.02 1.23 0.58 1.15 2.2 2.47 2.49 1.66 1.84 1.15 1.24 1.17 2.22 2.27
April 2.18 2.38 2.27 1.41 1.6 1.05 1.15 1.97 2.56 2.43 1.92 1.6 1.26 1.3 1.43 2.8 2.27
May 2.04 2.69 1.9 1.34 1.27 0.98 1.24 1.88 2.53 2.79 2.02 2 2.22 1.18 2.04 2.58 2.35
June 2.02 2.33 1.95 1.58 1.45 1.0 1.5 1.75 2.42 2.29 1.61 1.28 1.59 1.62 1.67 2.24 2.08
July 2.08 2.44 1.9 1.27 1.32 1.92 1.8 2.49 2.76 2.68 2.51 2.59 1.9 1.27 1.59 2.15 2.46
August 2.06 2.74 1.98 1.59 1.95 1.6 1.38 2.28 2.63 2.82 1.85 2.25 1.31 0.85 1.64 2.35 2.45
September 1.99 2.12 1.85 0.85 1.19 0.97 1.8 2.17 2.39 2.58 1.56 1.64 0.93 1.05 1.41 2.04 2.07
October 2.04 2.57 1.26 1.5 1.02 0.65 0.9 1.9 2.77 2.96 1.87 2.17 1.3 0.7 2.24 1.84 2.41
November 1.44 1.37 1.53 1.31 1.35 1.4 1.62 1.72 1.48 1.67 1.48 1.21 1.26 1.39 1.78 1.3 1.43
December 1.37 1.11 1.33 1.24 1.12 1.33 1.31 1.39 1.41 1.42 1.29 1.32 1.5 1.57 1.48 1.12 1.28
Table 6-1 Quarterly variation of annual mean wind speed and annual
mean wind frequency
Wind
speed N NNE NE ENE E ESE SE SSE S SSW SW WSW W WNW NW NNW C
Season
Spring 1.91 1.98 1.86 1.51 1.63 1.71 1.56 1.81 1.59 1.57 1.64 1.71 1.69 1.82 2.22 2.12 1.78
Summer 1.75 1.84 1.63 1.44 1.44 1.79 1.72 1.64 1.52 1.46 1.84 1.84 1.8 2.25 2.26 1.75 1.77
Autumn 1.44 1.47 1.42 1.34 1.52 1.49 1.52 1.52 1.37 1.54 1.42 1.35 1.48 1.64 1.98 1.51 1.48
Winter 1.57 1.62 1.53 1.31 1.23 1.38 1.38 1.37 1.38 1.39 1.35 1.28 1.45 1.54 2.32 1.85 1.43
Year-round 1.69 1.74 1.63 1.4 1.44 1.6 1.53 1.55 1.45 1.49 1.55 1.54 1.62 1.86 2.2 1.84 1.61
Figure 6-1 Monthly variation of annual mean wind speed
Figure 6-2 Daily variation diagram of average hourly wind speed
The statistical information of monthly mean wind speed indicates: The average
local wind speed in June was the highest (1.7m/s), and the average wind speed in
December was the lowest (1.11m/s).
The average maximum wind speed in spring appears at 14 o'clock (2.21m/s)
when the minimum wind speed appears at 8 o'clock (1.45m/s); The average maximum
wind speed in summer appears at 14 o'clock (2.23m/s) when the minimum wind speed
appears at 8 o'clock (1.34m/s); The average maximum wind speed in autumn appears
at 14 o'clock (1.93m/s) when the minimum wind speed appears at 8 o'clock (1.16m/s);
The average maximum wind speed in winter appears at 15 o'clock (1.94m/s) when the
minimum wind speed appears at 8 o'clock (1.12m/s); In general, the wind speed is
high during the day and small at night.
For annual and seasonal wind speed, see Figure 6-3; for rose diagram of wind
frequency, see Figure 6-4.
In spring, the average wind speed is 2.30m/s
In summer, the average wind speed is 2.33m/s
In autumn, the average wind speed is1.48m/s
In winter, the average wind speed is 1.43m/s
The annually mean wind speed is 1.61 m/s
Figure6-3 Annual and Seasonal Average Wind Speed Chart
Spring, calm wind[<0.50]m/s=1.36% Summer, calm wind[<0.50]m/s=1.27%
Autumn, calm wind[<0.50]m/s=59.29% Winter, calm wind[<0.50]m/s=35.52%
Year-round, calm wind[<0.50]m/s=24.17%
Figure 6-4 The Annual and Seasonal Average Wind Frequency
③ Meteorological data of high altitude
AermodSystem3.0 model obtained the latest meteorological data of high altitude.
The data were provided by Minqin Meteorological Station, and 730 sets of data about
air pressure, dry-bulb temperature, dew point temperature, wind direction and wind
speed at 0 o'clock and 12 o'clock from January 1, 2015 to December 31, 2015 were
obtained. This report uses the data at 0 o'clock of January 1, 2015 as the
meteorological data of high altitude, and the detailed parameters are included in Table
6-6, Figure 6-5 and Figure 6-6.
Figure 6-5 Acquiring of meteorological data of high altitude
Table 6-5 Meteorological Data of High Altitude (Take the data at 0 o'clock
of January 1, 2015 as example)
Dry-bulb Dew Point Wind
Serial Pressure Predicted Temperature Temperature Wind Speed
Direction
No. (hpa) Height (m) (m/s)
（℃） （℃） (Degree)
1 872 0 -17.1 -25.1 0 0
2 865 62 -12.7 -17.5 64 0.5
3 859 116 -9.3 -17 120 1
4 854 162 -6.5 -16.5 117 1.5
5 850 199 -6.1 -18.1 115 2.1
6 811 570 -2.3 -31.1 100 3.1
7 797 708 -0.9 -35.9 110 3.1
8 735 1348 -3.9 -38.9 155 4.1
9 700 1734 -5.7 -40.7 160 5.1
10 686 1891 -6.5 -40.6 165 4.1
11 661 2179 -7.9 -40.4 180 4.1
12 637 2465 -9.3 -40.2 255 3.1
13 623 2638 -10.1 -40.1 270 4.6
14 614 2748 -10.8 -40.1 280 6.2
15 566 3366 -15.1 -40 295 7.2
16 546 3639 -16.9 -39.9 282 10.3
17 543 3680 -17.2 -40.2 280 10.8
18 500 4293 -21.3 -44.3 285 14.9
19 486 4503 -22.7 -43.7 285 17
20 456 4968 -26.3 -29.8 285 21.6
21 454 4999 -26.6 -30.1 285 22.1
Dry-bulb Dew Point Wind
Serial Pressure Predicted Wind Speed
Temperature Temperature Direction
No. (hpa) Height (m) (m/s)
（℃） （℃） (Degree)
22 400 5903 -34.3 -38.8 280 23.2
23 367 6492 -39.7 -43.2 280 24.2
24 344 6934 -43.7 -46.6 278 30.4
25 321 7396 -45.1 -53.1 276 37.6
26 313 7563 -46.4 -54.8 275 40.1
27 300 7843 -48.7 -57.7 275 41.2
28 292 8021 -50.1 -59.1 276 42.7
29 250 9033 -54.7 -63.7 280 50.9
30 215 9989 -57.7 -66.7 273 55.6
31 200 10443 -58.5 -67.5 270 58.1
32 173 11347 -61.2 275 62.8
33 159 11873 -62.7 275 59.2
34 150 12233 -62.7 275 56.1
35 105 14424 -63.3 275 47.3
36 100 14723 -63.3 275 45.8
37 73 16664 -62.6 275 40.1
39 70 16923 -62.5 275 38.1
40 68.8 17030 -62.9 276 37
41 52 18776 -57.5 284 23.2
42 50 19023 -58.7 285 21.1
Table 6-6 Meteorological Data of High Altitude (Take the data at
0 o'clock of January 1, 2015 as example)
6.1.2 Prediction and Assessment of Impact on Environment
(1) Prediction mode
This assessment adopts the AermodSystem3.0 model recommended by the
guideline to predict and analyze the impact on the atmospheric environment.
(2) Prediction factors and source intensity
The emission parameters of pollution sources in this project are shown in Table
6-6, of which the emission rate of NO2 is 75% of NOX.
Table 6-6 Pollutant Emission Parameters Source Intensity (mg / m · s)
Pollution factor
Feature year
CO NOX CHExhaust
2020 0.28 0.06 0.03
2026 0.42 0.08 0.05
2034 0.60 0.12 0.07
(3) Surface meteorological observation data
The assessment uses surface meteorological observation data provided by Wuwei
Meteorological Station from January 2015 to December 2015 (1 year and 4 times a
day), which includes: Year, day series, hour, wind direction, wind speed, total cloud
cover, low cloud cover and dry-bulb temperature.
(4) Assessment standard
CO and NO2 implement the hourly concentration of Level II Standard in the
Ambient Air Quality Standard (GB3095-2012). See Table 6-7 for details.
Table 6-7 Implementation Standards of Ambient Air Quality Assessment
Unit: mg/m3
Pollutants Standard value
Daily average 4.0
CO
Hourly average 10
Annual average 0.04
NO2 Daily average 0.08
Hourly average 0.20
6.1.3 Prediction and Result Analysis of Impact on Atmospheric
Environment
This project is a road engineering. This prediction predicts the coefficient of
pollutant production in the short-term (in 2020), mid-term (in 2026) and long-term (in
2037) operation respectively, and predicts NO2 and CO respectively. Some road
sections of this project are characterized by high subgrades, and the motor vehicle
exhaust generated when running on high subgrade sections is slightly larger than the
normal noise level. However, by considering that there is no school or hospital or
other sensitive plots around the project, traffic volume is generally not large and the
altitude difference between sections with high subgrades and general road is not big,
so the prediction results are reasonable in accordance with the normal situation.
6.1.3.1 Atmospheric Prediction of Short-term Operation (in 2020)
(1) Prediction of NO2 in Short-term Operation (in 2020)
① Hourly Concentration Prediction of NO2 in Short-term Operation (in 2020)
For the prediction of NO2 in short-term operation (in 2020), see Table 6-9 and
Figure 6-7.
Figure 6-7 Prediction of Hourly Concentration of CO2 in Short-term
Operation (in 2020)
Table 6-8 Table for Prediction of Hourly Concentration of CO2 in
Short-term Operation (in 2020)
Superimp
Backgroun Excess Concent Information of
Contribution osed
Predicted Point d value rate ration reaching
value(mg/m3) value
(mg/m3) (%) (mg/m3) standard
(mg/m3)
0.10651 12.125 Reach the
Chenjiazhuang 0.031 0.07551 0.2
4 standard
0.05543 Reach the
Shanghuzhuangzi 0.03 0.02543 8.5242 0.2
standard
Maximum 0.13394 16.238 Reach the
0.031 0.10294 0.2
Regional Value 7 standard
Table 6-8 and Figure 6-7 indicated that within the assessment scope, the hourly
concentration of NO2 reached the maximum at Chenjiazhuang (one of the protective
targets), with the predicted concentration of 0.10651 mg/m3 and the maximum hourly
concentration of NO2 in the area of 0.13394 mg/m3, meeting the requirements of
standard limits (0.2mg/m3) of Level II in the Ambient Air Quality Standard (GB3095
-2012).
② Prediction of Daily Average Concentration of NO2 in Short-term Operation (in
2020)
For the prediction of daily average concentration of NO2 in short-term operations
(in 2020), see Table 6-9 and Figure 6-8.
Figure 6-8 Prediction of Daily Average Concentration of CO2 in Short-term
Operation (in 2020)
Table 6-9 Table for Prediction of Daily Average Concentration of CO2 in
Short-term Operation (in 2020)
Contributio Excess
Background Superimpos Normal Information
n rate
Predicted Point value ed value Concentrati of reaching
value(mg/m3 (%)
(mg/m3) (mg/m3) on(mg/m3) standard
)
9.8177 Reach the
Chenjiazhuang 0.031 0.00785 0.03885 0.08
6 standard
3.7009 Reach the
Shanghuzhuangzi 0.028 0.00296 0.03096 0.08
0 standard
Maximum 19.817 Reach the
0.031 0.00785 0.03885 0.08
Regional Value 76 standard
Table 6-9 and Figure 6-8 indicated that within the assessment scope, the hourly
concentration of NO2 reached the maximum at Chenjiazhuang (one of the protective
targets), with the predicted concentration of 0.03885mg/m3 and the maximum daily
concentration of NO2 in the area of 0.13394 mg/m3, meeting the requirements of
standard limits (0.2mg/m3) of Level II in the Ambient Air Quality Standard (GB3095
-2012).
③ Prediction of Annual Average Concentration of NO2 in Short-term Operation
(in 2020)
For the prediction of annual average concentration of NO2 in short-term
operation (in 2020), see Table 6-10 and Figure 6-9.
Figure 6-9 Prediction of Annual Average Concentration of NO2 in
Short-term Operation (in 2020)
Table 6-10 Table for Prediction of Annual Average Concentration of NO2 in
Short-term Operation (in 2020)
Superimp Excess rate Normal
Background Contributio Information
Predicted osed （%） Concentra
value n value of reaching
Point value tion
（mg/m3） （mg/m3） standard
（%） （mg/m3）
Reach the
Chenjiazhuang 0 0.00212 0.00212 5.32104 0.04
standard
Shanghuzhuan Reach the
0 0.00083 0.00083 2.01457 0.04
gzi standard
Maximum Reach the
0 0.00212 0.00212 5.32104 0.04
Regional Value standard
Table 6-10 and Figure 6-9 indicated that within the assessment scope, the annual
average concentration of NO2 reached the maximum at Chenjiazhuang, with the
distribution concentration of 0.00212 mg/m3 and the maximum distribution of annual
average concentration of NO2 in the area of 0.000212 mg/m3, meeting the
requirements of standard limits (0.2mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
(2) Prediction of CO in Short-term Operation (in 2020)
① Prediction of Hourly Concentration of CO in Short-term Operation (in 2020)
For the prediction of hourly concentration of CO in short-term operation (in
2020), see Table 6-11 and Figure 6-10.
Figure 6-10 Prediction of Hourly Concentration of CO in Short-term
Operation (in 2020)
Table 6-11 Table for Prediction of Hourly Concentration of CO in
Short-term Operation (in 2020)
Superimp Normal
Backgroun Contributi Information
osed Excess rate Concentra
Predicted Point d value on value of reaching
value （%） tion
（mg/m3） （mg/m3） standard
（%） （mg/m3）
Reach the
Chenjiazhuang 0.7 0.35236 1.05236 3.54125 10
standard
Reach the
Shanghuzhuangzi 0.7 0.11869 0.81869 1.12354 10
standard
Maximum Reach the
0.7 1.12451 1.82451 12.2541 10
Regional Value standard
Table 6-11 and Figure 6-10 indicated that within the assessment scope, the
hourly concentration of CO reached the maximum at Chenjiazhuang (one of the
protective targets), with the predicted concentration of 1.05236 mg/m 3 and the
maximum hourly concentration of CO in the area of 1.82451 mg/m 3, meeting the
requirements of standard limits (10mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
② Prediction of Daily Average Concentration of CO in Short-term Operation (in
2020)
For the prediction of daily average concentration of CO in short-term operation
(in 2020), see Table 6-12 and Figure 6-11.
Figure 6-11 Prediction of Daily Average Concentration of CO in
Short-term Operation (in 2020)
Table 6-12 Table for Prediction of Daily Average Concentration of CO in
Short-term Operation (in 2020)
Superimp Excess rate Normal
Background Contributio Information
osed （%） Concentra
Predicted Point value n value of reaching
value tion
（mg/m3） （mg/m3） standard
（%） （mg/m3）
Reach the
Chenjiazhuang 0.6 0.03665 0.63665 0.91632 4
standard
Reach the
Shanghuzhuangzi 0.7 0.01382 0.71382 0.34542 4
standard
Maximum Reach the
0.7 0.21041 0.91041 5.26031 4
Regional Value standard
Table 6-12 and Figure 6-11 indicated that within the assessment scope, the
hourly average concentration of CO reached the maximum at Chenjiazhuang (one of
the protective targets), with the predicted concentration of 0.63665 mg/m3 and the
maximum hourly average concentration of CO in the area of 0.91041 mg/m 3, meeting
the requirements of standard limits (4.0mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
6.1.3.1 Prediction of Mid-term Operation (in 2026)
(1) Prediction of NO2 in Mid-term Operation (in 2026)
① Prediction of Hourly Concentration of NO2 in Mid-term Operation (in 2026)
For the prediction of hourly concentration of NO2 in mid-term operations (in
2026), see Table 6-13 and Figure 6-12.
Figure 6-12 Prediction of Hourly Concentration of NO2 in Mid-term
Operation (in 2026)
Table 6-13 Table for Prediction of Hourly Concentration of NO2 in
Mid-term Operation (in 2026)
Superimp Normal
Background Contributio Excess Information
osed Concentrat
Predicted Point value n value rate of reaching
value ion
（mg/m3） （mg/m3） （%） standard
（mg/m3） （mg/m3）
0.13167 Reach the
Chenjiazhuang 0.031 0.10067 6.2142 0.2
standard
Shanghuzhuang 0.06391 Reach the
0.03 0.03391 3.2147 0.2
zi standard
Maximum 0.14321 Reach the
0.031 0.11221 8.2145 0.2
Regional Value standard
Table 6-13 and Figure 6-12 indicated that within the assessment scope, the
hourly concentration of NO2 reached the maximum at Chenjiazhuang (one of the
protective targets), with the predicted concentration of 0.13167mg/m3 and the
maximum hourly concentration of NO2 in the area of 0.14321mg/m3, meeting the
requirements of standard limits (0.2mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
② Prediction of Daily Average Concentration of NO2 in Mid-term Operation (in
2026)
For the prediction of daily average concentration of NO2 in mid-term operation
(in 2026), see Table 6-14 and Figure 6-13.
Figure 6-13 Prediction of Daily Average of NO2 in Mid-term Operation (in
2026)
Table 6-14 Table for Prediction of Daily Average Concentration of NO2 in
Mid-term Operation (in 2026)
Excess Normal
Background Contributio Superimpo Information
Predicted rate Concentra
value n value sed value of reaching
Point （%） tion
（mg/m3） （mg/m3） （mg/m3） standard
（mg/m3）
Chenjiazhuan Reach the
0.031 0.01047 0.04147 13.09035 0.08
g standard
Shanghuzhua Reach the
0.028 0.00395 0.03195 4.93454 0.08
ngzi standard
Maximum
Reach the
Regional 0.031 0.02519 0.05619 19.2541 0.08
standard
Value
Table 6-14 and Figure 6-13 indicated that within the assessment scope, the daily
concentration of NO2 reached the maximum at Chenjiazhuang (one of the protective
targets), with the predicted concentration of 0.04147mg/m3 and the maximum daily
concentration of NO2 in the area of 0.05619mg/m3, meeting the requirements of
standard limits (0.2mg/m3) of Level II in the Ambient Air Quality Standard (GB3095
-2012).
③ Prediction of Annual Average Concentration of NO2 in Mid-term Operation (in
2026)
For the prediction of annual average concentration of NO2 in mid-term operation
(in 2026), see Table 6-15 and Figure 6-14.
Figure 6-14 Prediction of Annual Average Concentration of NO2 in
Mid-term Operation (in 2026)
Table 6-15 Table for Prediction of Annual Average Concentration of NO2 in
Mid-term Operation (in 2026)
Excess rate Informa
Background Contributio
Superimp （%） Normal tion of
Predicted osed Concentra reachin
value n value
Point value tion g
（mg/m3） （mg/m3）
（%） （mg/m3） standar
d
Reach
Chenjiazhuan
0 0.00283 0.00283 7.07530 0.04 the
g
standard
Reach
Shanghuzhua
0 0.00110 0.00110 2.75248 0.04 the
ngzi
standard
Maximum Reach
Regional 0 0.00541 0.00541 12.2510 0.04 the
Value standard
Table 6-15 and Figure 6-14 indicated that within the assessment scope, the
annual average concentration of NO2 reached the maximum at Chenjiazhuang, with
the distribution concentration of 0.00283 mg/m3 and the maximum distribution of
annual average concentration of NO2 in the area of 0.000541 mg/m3, meeting the
requirements of standard limits (0.2mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
(2) Prediction of CO in Mid-term Operation (in 2026)
① Prediction of Hourly Concentration of CO in Mid-term Operation (in 2026)
For the prediction of hourly concentration of CO in mid-term pperation (in 2026),
see Table 6-16 and Figure 6-15.
Figure 6-15 Prediction of Hourly Concentration of CO in Mid-term
Operation (in 2026)
Table 6-16 Table for Prediction of Hourly Concentration of CO in
Mid-term Operation (in 2026)
Superimp Excess rate Normal
Background Contributio
Predicted osed （%） Concentra Information
value n value of reaching
Point value tion
（mg/m3） （mg/m3） standard
（%） （mg/m3）
Chenjiazhuan Reach the
0.7 0.44045 1.14045 4.4152 10
g standard
Shanghuzhua Reach the
0.7 0.14836 0.84836 1.48751 10
ngzi standard
Maximum
Reach the
Regional 0.7 1.62218 2.32218 16.2104 10
standard
Value
Table 6-16 and Figure 6-15 indicated that within the assessment scope, the
hourly concentration of CO reached the maximum at Chenjiazhuang (one of the
protective targets), with the predicted concentration of 1.14045mg/m3 and the
maximum hourly concentration of CO in the area of 1.48751mg/m3, meeting the
requirements of standard limits (10mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
② Prediction of Daily Average Concentration of CO in Mid-term Operation (in
2026)
For the prediction of daily average concentration of CO in mid-term operation
(in 2026), see Table 6-17 and Figure 6-16.
Figure 6-16 Prediction of Daily Average Concentration of CO in
Mid-term Operation (in 2026)
Table 6-17 Table for Prediction of Daily Concentration of CO in Mid-term
Operation (in 2026)
Superimp Excess rate Normal
Background Contributio Information
Predicted value n value
osed （%） Concentra
of reaching
Point value tion
（mg/m3） （mg/m3） standard
（%） （mg/m3）
Reach the
Chenjiazhuang 0.6 0.04582 0.64582 1.4541 4
standard
Shanghuzhuang Reach the
0.7 0.01727 0.71727 0.43177 4
zi standard
Maximum Reach the
0.7 0.26302 0.96302 6.57538 4
Regional Value standard
Table 6-17 and Figure 6-16 indicated that within the assessment scope, the
hourly average concentration of CO reached the maximum at Chenjiazhuang (one of
the protective targets), with the predicted concentration of 064582mg/m3 and the
maximum hourly average concentration of CO in the area of 0.96302mg/m3, meeting
the requirements of standard limits (4.0mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
6.1.3.3 Prediction of Long-term Operation (in 2034)
(1) Prediction of NO2 in Long-term Operation (in 2034)
① Prediction of Hourly Concentration of NO2 in Long-term Operation (in 2034)
For the prediction of hourly concentration of NO2 in long-term operation (in
2034), see Table 6-18 and Figure 6-17.
Figure 6-17 Prediction of Hourly Concentration of CO2 in Long-term
Operation (in 2034)
Table 6-18 Table for Prediction of Hourly Concentration of CO2 in
Long-term Operation (in 2034)
Superimpos Normal
Background Contribution Excess Information
Predicted ed value Concentrat
value value rate of reaching
Point （mg/m3） ion
（mg/m3） （mg/m3） （%） standard
（mg/m3）
0.15055 Reach the
Chenjiazhuang 0.031 0.11955 12.152 0.2
standard
Shanghuzhuan 0.07027 Reach the
0.03 0.04027 5.2687 0.2
gzi standard
Maximum 0.15055 Reach the
0.031 0.11955 12.152 0.2
Regional Value standard
Table 6-18 and Figure 6-17 indicated that within the assessment scope, the
hourly concentration of NO2 reached the maximum at Chenjiazhuang (one of the
protective targets), with the predicted concentration of 0.15055mg/m3 and the
maximum hourly concentration of NO2 in the area of 0.15055mg/m3, meeting the
requirements of standard limits (0.2mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
② Prediction of Daily Average Concentration of in Long-term Operation (in
2034)
For the prediction of daily average concentration of NO2 in long-term operation
(in 2034), see Table 6-19 and Figure 6-18.
Figure 6-18 Prediction of Daily Concentration of CO2 in Long-term
Operation (in 2034)
Table 6-19 Table for Prediction of Daily Concentration of CO2 in Long-term
Operation (in 2034)
Excess Normal
Background Contribution Superimpo Information
rate Concentra
Predicted Point value value sed value of reaching
（%） tion
（mg/m3） （mg/m3） （mg/m3） standard
（mg/m3）
Reach the
Chenjiazhuang 0.031 0.01244 0.04344 15.544 0.08
standard
Shanghuzhuang Reach the
0.028 0.00469 0.03269 5.859 0.08
zi standard
Maximum Reach the
0.031 0.03841 0.06941 20.154 0.08
Regional Value standard
Table 6-19 and Figure 6-18 indicated that within the assessment scope, the daily
concentration of NO2 reached the maximum at Chenjiazhuang (one of the protective
targets), with the predicted concentration of 0.04344g/m3 and the maximum daily
concentration of NO2 in the area of 0.06951mg/m3, meeting the requirements of
standard limits (0.2mg/m3) of Level II in the Ambient Air Quality Standard (GB3095
-2012).
③ Prediction of Annual Average Concentration of in Long-term Operation (in
2034)
For the prediction of annual average concentration of NO2 in long-term operation
(in 2034), see Table 6-20 and Figure 6-19.
Figure 6-19 Prediction of Annual Average Concentration of NO2 in
Long-term Operation (in 2034)
Table 6-20 Table for Prediction of Annual Average Concentration of NO2 in
Long-term Operation (in 2034)
Excess Normal
Background Superimpo Information
Contribution rate Concentra
Predicted Point value sed value of reaching
（mg/m3）
value （%） tion
（mg/m3） （%） standard
（mg/m3）
Reach the
Chenjiazhuang 0 0.00336 0.00336 8.39254 0.04
standard
Shanghuzhuang Reach the
0 0.00131 0.00131 3.32145 0.04
zi standard
Maximum Reach the
0 0.02795 0.02795 19.5214 0.04
Regional Value standard
Table 6-20 and Figure 6-19 indicated that within the assessment scope, the
annual average concentration of NO2 reached the maximum at Chenjiazhuang, with
the distribution concentration of 0.00336mg/m3 and the maximum distribution of
annual average concentration of NO2 in the area of 0.02795mg/m3, meeting the
requirements of standard limits (0.2mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
(2) Prediction of CO in Long-term Operation (in 2034)
① Prediction of Hourly Concentration of CO in Long-term Operation (in 2034)
For the prediction of hourly concentration of CO in long-term operation (in
2034), see Table 6-21 and Figure 6-20.
Figure 6-20 Prediction of Hourly Concentration of CO in Long-term
Operation (in 2034)
Table 6-20 Table for Prediction of Hourly Concentration of CO in
Long-term Operation (in 2034)
Excess Normal
Background Contribution Superimp Information
rate Concentra
Predicted Point value value osed value of reaching
（%） tion
（mg/m3） （mg/m3） （%） standard
（mg/m3）
Reach the
Chenjiazhuang 0.7 0.57887 1.27887 5.78854 10
standard
Reach the
Shanghuzhuangzi 0.7 0.19499 0.89499 1.94986 10
standard
Maximum Reach the
0.7 2.13201 2.83201 21.5241 10
Regional Value standard
Table 6-21 and Figure 6-20 indicated that within the assessment scope, the
hourly concentration of CO reached the maximum at Chenjiazhuang (one of the
protective targets), with the predicted concentration of 1.27887mg/m3 and the
maximum hourly concentration of CO in the area of 1.2.83201mg/m3, meeting the
requirements of standard limits (10mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
② Prediction of Daily Average Concentration of CO in Long-term Operation (in
2034)
For the prediction of daily average concentration of CO in long-term operation
(in 2034), see Table 6-22 and Figure 6-21.
Figure 6-21 Prediction of Daily Average Concentration of CO in
Long-term Operation (in 2034)
Table 6-22 Table for Prediction of Daily Average Concentration of CO in
Long-term Operation (in 2034)
Excess Normal
Background Contribution Superimpos Information
Predicted rate Concentrat
value value ed value of reaching
Point （%） ion
（mg/m3） （mg/m3） （%） standard
（mg/m3）
Reach the
Chenjiazhuang 0.6 0.06022 0.66022 1.5241 4
standard
Shanghuzhuan Reach the
0.7 0.02270 0.7227 0.56747 4
gzi standard
Maximum Reach the
0.7 0.34568 1.04568 8.64139 4
Regional Value standard
Table 6-22 and Figure 6-21 indicated that within the assessment scope, the
hourly average concentration of CO reached the maximum at Chenjiazhuang (one of
the protective targets), with the predicted concentration of 066022mg/m3 and the
maximum hourly average concentration of CO in the area of 1.04568mg/m3, meeting
the requirements of standard limits (4.0mg/m3) of Level II in the Ambient Air Quality
Standard (GB3095 -2012).
(3) Atmospheric prediction summary
It can be seen from the above atmospheric prediction results that the hourly
concentration, daily average concentration and annual average concentration of NO2
meet the standard limits of Level II of the Ambient Air Quality Standard
(GB3095-2012) during each operation period. The hourly concentration and daily
average concentration of CO all meet the standard limits of Level II of the Ambient
Air Quality Standard (GB3095-2012). Generally speaking, the operation period of
this project will not have a significant impact on the ambient air quality.
Xingminxin Village of Xijing Town of Gulang County-S308 Route was
designed as urban secondary road. The actual traffic volume after the completion of
the road is far less than that of road from the Gulang County to Shuangta Industrial
Park. According to the above predictions, the exhaust gas pollutants generated during
the short-term, mid-term and long-term road operations of Gulang County to
Shuangta Industrial Park have less impact on the surrounding environment. Therefore,
it can be concluded that the operation periods of the Xingminxin Village of Xijing
Town of Gulang County-S308 Route have less impact on the surrounding
environment.
6.2 Assessment of Impact on Noise Environment
6.2.1 Prediction mode
6.2.1.1 Basic prediction mode
The prediction mode adopts the prediction mode recommended in Environmental
Impact Assessment Technical Guidelines for Acoustic Environment (HJ2.4-2009).
a) Prediction model for the equivalent sound level of vehicle model i
Where:
Leq(h)- The hourly equivalent sound level of vehicle model i, dB(A)；
(L0E) - Speed of vehicle model i is Vi, km/h; For the location with horizontal
distance of 7.5m, the average energy sound level is A, dB(A);
Ni - The average hourly traffic volume of the vehicle model i at a certain forecast
point during the day and night, /h;
R - The distance from the center line of the lane to the prediction point, m; it is
applicable to the noise prediction for prediction point with r>7.5m
vi - average speed of vehicle model i, km/h;
T — Calculate the time of equivalent sound level, 1h;
ψ1, ψ2 —The angle between the prediction point and the two ends of the section
with finite length. Radian, see figure 6-22.
Figure 6-22 The modified function for a limited section of road, A-B for the
roadside, P for the prediction point
ΔL—Correction caused by other factors, dB(A), can be calculated according to
the following formula:
ΔL+ΔL1-ΔL2+ΔL3
ΔL1+ΔLGradient+ΔLGradient
ΔL2=Aatm+Agr+Abar+Amisc
Where:
ΔL1—Correction caused by line, dB(A)
ΔLGradient—correction of longitudinal grade, dB(A)
ΔLRoad Surface—Correction caused by road surface material, dB(A)
ΔL2—The attenuation caused by the propagation of sound waves, dB(A)
ΔL3—Correction caused by reflection, dB(A)
b) Equivalent sound level of total traffic volume:
If a prediction point is affected by traffic noise from multiple lines(The
prediction points around the viaduct are influenced by the multiple lanes over and
under the bridge, and the prediction points of the roadside high-rise buildings are
affected by the multiple lanes on the ground), the contribution value is obtained from
the superposition of sound level of the prediction point on each lane .
6.2.1.2 Calculation of correction and decrement
(1) Correction caused by line
①Correction of highway longitudinal grade (ΔL Gradient)
Highway longitudinal grade correction ΔL gradient can be calculated as follows:
Large vehicle: ΔLGradient=98×β
Medium-sized vehicle: ΔLGradient=73×β
Large vehicle: ΔLGradient=50×β
Where:
β—Correction of highway longitudinal grade, %
②Correction of road surface（ΔLRoad Surface）
For noise correction of different road surface, see Table 6-23.
Table 6-23 Noise correction of general road surface
Correction of Different Speed
Roads Being Intersected With
30 40 50
Asphalt Concrete Pavement 0 0 0
Cement Concrete 1.0 1.5 2.0
★Correction in the table is for (L0E)i on the asphalt concrete pavement
All of the project belongs to asphalt concrete pavement, and the corrected value
of which is 0.
(2) The decrement caused by the propagation of sound waves（ΔL2）
①Decrement of obstacle（Abar）
α) Calculation of sound barrier's decrement（Abar）
Infinite sound barrier can be calculated as follows:
Where:
f—frequency of sound wave, Hz;
δ—acoustic path difference, m;
c—sound velocity, m/s.
In the evaluation of highway construction project, decrement of the sound level
A is about the decrement of barrier calculated by using 500Hz frequency.
β) Calculation of finite sound barrier:
Abar is still calculated from the above formula. and then corrected according to
Figure 6-23. Corrected Abar is based on the blind angle β/θ. The dotted line in Figure
6-2 means: Decrement of infinite sound barrier is 8.5dB,if the percentage of blind
angle is 92%, the decrement of finite noise barrier is 6.6 dB.
Parameter of Aatm, Agr, Abar, and Amisc are calculated according to
Environmental Impact Assessment Technical Guidelines for Acoustic Environment
(HJ2.4-2009).
(3) Correction caused by reflection
① Noise (impact) correction of urban road intersection
Noise correction of intersection (additional value), see Table 6-8.
Figure 6-23 Correction diagram and blind angle
Table 6-24 Additional value of noise in intersection
The distance between the affected point of noise and the
Intersection（dB）
intersection point of the nearest fast lane(m)
≤40 3
40＜D≤70 2
70＜D≤100 1
＞100 0
② Reflection correction of buildings on both sides
Correction for impact factors of reflection from landform and sound source on
both sides of the building. When the total distance between the buildings on both
sides of the line is less than 30% of the total height, correction of the reflected sound
is:
② When buildings on both sides are the reflector:
ΔLReflection=4Hb/w ≤3.2 dB
The buildings on both sides are generally absorbent surfaces:
ΔLReflection=2Hb/w ≤1.6dB
Both sides of the building belong to fully absorbed surface:
ΔLReflection≈0
Where:
w—Distance between the reflective surfaces of buildings on both sides of the line,
m;
Hb—The average height of building, h, average height of the lower side of the
line is used in the calculation , m.
6.2.1.3 Selection of prediction mode
The assessment uses NoiseSystem V3.0 software which is constructed according
to the Environmental Impact Assessment Technical Guidelines Acoustic Environment
HJ2.4-2009, and it is a three-dimensional noise impact assessment system based on
GIS. The software takes all sound sources, covers and meteorological elements in the
prediction area into consideration, and the results in line with guidance are provided.
It is applicable to noise level 3, level 2, and level 1 in industrial projects, highway
projects and railway project environmental.
6.2.2 Prediction and Assessment of Acoustic Environment
6.2.2.1 Prediction parameter selection
(1) Traffic volume
Hourly average traffic volume during the daytime and nighttime of the feature
year are adopted, as shown in Table 3-11;
(2) Prediction period
Three feature years of 2020, 2026 and 2034 could be predicted respectively;
(3) Designed vehicle speed
According to the feasibility study report of this project, the designed vehicle
speed in this project is 40km/h.
(4) Speed calculation
Running speed calculation adopts Noise System V3.0 software. After inputting
the traffic volume and designed vehicle speed, the hourly running speed can be
calculated.
(5) Pavement type
The road surface of the project adopts asphalt concrete pavement.
According to the project analysis, the noise prediction parameters of road
engineering in this project are shown in Table 6-24.
Table 6-24 Table of Noise Prediction Parameter of Gulang-Shuangta Road
Traffic volume (vehicle/h)
Design Distance from
Road Vehicle
Road ed Featu Small Medium Road lane centerline
Large Surface Lane
Name Vehicle re Period vehicl -sized Width to the road
vehicle Type Quantity
Speed year e vehicle centerline (m)
Dayti
Gulan 297 169 80
me
2020
g Nightt
67 46 24
Count ime
Dayti
y to 588 368 152
me Asphalt -18.75, -6.25,
Shuan 40 2026 26 4
Nightt Concrete 6.25, 18.75
141 79 57
gta ime
Indust Dayti
857 514 341
me
rial 2034
Park Nightt
219 128 81
ime
6.2.2.2 Prediction Point and Prediction Section
(1) Discrete point
This assessment predicts that the discrete points select the five existing protected
targets within the assessment scope of this project. The predicted sensitive spots are
shown in Table 6-25.
Table 6-25 Predicted Sensitive Spots of Project
Serial
Name X coordinate (m) Y coordinate (m) Predicted height (m)
No.
1 Chenjiazhuang -441.59 -2538.56 1.2
2 Donggou -386.08 -2046.89 1.2
3 Weijiadazhuang -160.07 -1995.34 1.2
4 Zhangjiamo -636.99 1398.86 1.2
5 Shanghuzhuangzi -773.26 2800.79 1.2
(2) Horizontal prediction section
Without considering the altitude difference, the distribution of buildings on both
sides of the road, a total of two horizontal prediction sections are established.
Section 1: Set at 0 ~ 200m to the north of the boundary, the step length of the
line segment is 10m and the predicted height is 1.2m.
Section 2: Set at 0 ~ 200m to the south of the boundary, the step length of line
segment is 10m and the predicted height is 1.2m.
6.2.2.3 Prediction contents
(1) According to the predicted traffic volume of this project, the horizontal sound
field can be predicted within 200m on both sides of the road only after considering the
contribution of traffic noise in the ideal section (i.e. without taking the building
insertion noise loss into account) after the completion of the road. After that, the
isogonic sound chart could be drawn and the traffic noise protection distance could be
given.
(2) After the project reaches the designed traffic flow, the corresponding acoustic
environment background values are superimposed by the predicted traffic noise
values to predict the acoustic environment quality of each objectives of environmental
protection.
6.2.2.4 Impact Prediction and Analysis of Acoustic Environment
(1) Analysis of forecast results for horizontal sound field distribution
In order to understand the distribution of the sound field in this project, two
typical horizontal sound field prediction sections were selected on both sides of
Gushuang road, noise distribution of the prediction section does not consider the high
difference and the distribution of buildings on both sides of the road, and it only
consider horizontal sound field decrement. Prediction results of horizontal sound field
in each section ,see Table 6-26.
Table 6-26 Prediction Results of Noise Contribution Value of Each Year on
Shuanggu Road Unit: dB (A)
Distance to the road centerline (m)
Prediction period
7.5 10 20 30 40 60 80 100 120 150
Daytime 69.71 63.26 57.26 51.41 50.19 49.27 48.52 47.86 47.26 46.72
2020
Nighttime 65.43 57.12 51.72 45.83 44.59 43.66 42.90 42.23 41.63 41.07
Daytime 70.05 65.61 59.61 53.77 52.55 51.63 50.87 50.22 49.62 49.07
2026
Nighttime 66.25 60.01 54.01 48.12 44.89 43.96 42.20 41.53 41.13 40.38
Daytime 71.25 66.07 60.07 54.22 54.00 53.08 52.33 51.67 51.07 50.52
2034
Nighttime 66.87 60.48 54.48 49.59 44.36 44.23 43.67 43.00 42.40 41.85
Table 6-26 shows that due to the increase of traffic volume after completion of
the road, the traffic noise is increased, accordingly, the scope of influence is also
expanded when the corresponding influence range is increases year by year.
According to EHS of World Bank ( Daytime 55dB , Nighttime 45dB ) and combing
with traffic noise prediction results, and the control distance of the standard positions
on both sides of the short-term, mid-term, and long-term are provided, details are
included in Table 6-27.
Table 6-27 Forecast statistics of road traffic noise during each period in
operation
2020 2026 2034
Standard
Daytime Nighttime Daytime Nighttime Daytime Nighttime
Road name
World Bank
＜30 ＜35 ＜30 ＜40 ＜30 ＜40
EHS
Statistical result of Table 6-27 indicates that without the consideration of
elevation difference and distribution of buildings on both sides of the road, the
standard distance for road traffic noise forecast in 2020, 2026 and 2034 of Gushuang
road in the daytime and at night will be 30m and 35m respectively; standard distance
in the daytime and nighttime in 2026 will be 30m and 40m respectively; and standard
distance in the daytime and nighttime in 2034 will be 30m and 40m respectively.
(2) Environmental impact prediction of sensitive spot
The prediction value of impact of the project on sensitive spots = the noise
contribution value of the project + background value.
According to the current status of the project and the current quality status of the
surrounding environment, the current status monitoring value includes the
contribution of the current traffic noise which can not represent the noise background
value at the sensitive spot. By analyzing the current situation of the surrounding
environment of the project and the distribution of each sensitive spot, the noise
background value of the sensitive spot of this assessment selects the maximum value
of the current monitoring value of noise to represent the noise background value at
each sensitive spot of the project. Some road sections of this project are characterized
by high subgrades, and the vehicle noise generated when running on high subgrade
sections is slightly larger than the normal noise level. However, by considering that
there is no school or hospital or other sensitive plots around the project, traffic volume
is generally not large and the altitude difference between sections with high subgrades
and general road is not big, so the prediction results are reasonable in accordance with
the normal situation.
① Noise prediction of sensitive spot during short-term operation ( in 2020)
The prediction of impact on acoustic environment of sensitive spots during
short-term operation (in 2020) is shown in Table 6-28 and Chart 6-24 and Chart 6-25.
Table 6-28 Prediction results of acoustic environment of sensitive spot
during short-term operation ( in 2020)
Informat
Contribution Background Prediction ion
Coordinate value value value of
Noise Featu
dB (A) dB (A) dB (A) reaching
sensitive re
standard
spot year
Reach
Dayti Nigh Dayt Nigh Dayti Nigh
X Y the
me ttime ime ttime me ttime
standard
Chenjiazhuan Reach the
-441.59 -2538.56 45.59 39.62 51.3 39.7 52.31 42.67
g standard
Reach the
Donggou -386.08 -2046.89 47.84 41.97 49.9 38.2 52.00 43.50
standard
Weijiadazhua Reach the
-160.07 -1995.34 2020 47.38 41.52 52.4 40.1 53.59 43.88
ng standard
Reach the
Zhangjiamo -636.99 1398.86 46.81 40.94 48.9 37.5 50.99 42.57
standard
Shanghuzhua Reach the
-773.26 2800.79 42.71 36.84 53.1 40.4 53.48 41.99
ngzi standard
World Bank EHS Quality Standards: Daytime: 55 dB (A), Nighttime: 45 dB (A)
Figure 6-24 Isoline of Noise Prediction in the Daytime During the
Short-term(2020) Operation of Gushuang Road
Figure 6-25 Isoline of Noise Prediction at Night During the Short-term(2020)
Operation of Gushuang Road
In conclusion, after the completion of project, the traffic noise has a certain impact
on the surrounding acoustic environment quality. According to the prediction results in
Table 6-28, it can be seen that after the background value is superimposed, there is no
violation on the sensitive spots during the operation period of the road, meeting the
World Bank EHS Quality Standards, namely, 55dB (A) in the daytime and 45dB (A) in
the nighttime. In addition, the maximum prediction value of noise in the daytime and in
the nighttime are both in Weijiadazhuang and the short-term (2020) impact of the
completion of project on acoustic environment of sensitive spots is within the
acceptable range.
② Noise prediction of sensitive spot during mid-term operation ( in 2026)
The prediction of impact on acoustic environment of sensitive spots during
mid-term operation (in 2026) is shown in Table 6-29 and Chart 6-26 and Chart 6-27.
Table 6-29 Prediction Results of Impact on Acoustic Environment of
Sensitive Spots in the Mid-Term Operation (in 2026)
Noise Featu Contributio Background Prediction Information
sensitive Coordinate re n value value value of reaching
spot year dB (A) dB (A) dB (A) standard
Dayt Nigh Dayt Nigh Dayt Nigh Reach the
X Y
ime ttime ime ttime ime ttime standard
Chenjiazhuan Reach the
-441.59 -2538.56 48.52 43.11 51.3 39.7 53.14 44.74
g standard
Exceed the
Donggou -386.08 -2046.89 50.86 45.46 49.9 38.2 53.42 46.21
standard
Weijiadazhua Exceed the
-160.07 -1995.34 2026 50.41 45.00 52.4 40.1 54.53 46.22
ng standard
Exceed the
Zhangjiamo -636.99 1398.86 49.83 44.43 48.9 37.5 52.40 45.23
standard
Shanghuzhua Reach the
-773.26 2800.79 45.73 40.33 53.1 40.4 53.83 43.38
ngzi standard
World Bank EHS Quality Standards: Daytime: 55 dB (A), Nighttime: 45 dB (A)
Scale 1:50,000
Figure 6-26 Isoline of Noise Prediction in the Daytime During the Mid-term(2026)
Operation of Gushuang Road
Figure 6-27 Isoline of Noise Prediction at Night During the Mid-term(2026)
Operation of Gushuang Road
In conclusion, after the completion of the project, the traffic noise has a certain
impact on the surrounding acoustic environment quality. According to the prediction
results in Table 6-29, it can be seen that after the background value is superimposed,
there emerge violation in sensitive spots of Donggou, Weijiadazhuang and Zhangjiamo
in the nighttime during the mid-term operation of the project, showing that the
mid-term operation (in 2026) of the road in this project will impose certain impacts on
the acoustic environment of sensitive spots. Therefore, this EIA requires the
construction unit to actively monitor the current status during the operation period. In
the event of any violation, the construction unit should take timely noise prevention
measures such as the replacement of double glazing of sensitive spots, so that the
impact of noise on the surrounding sensitive spots will be reduced to a minimum.
③ Noise prediction of sensitive spot during long-term operation ( in 2034)
The impact on acoustic environment of sensitive spots during long-term
operation (in 2034) is shown in Table 6-30 and Chart 6-28 and Chart 6-29.
Table 6-30 Prediction Results of Impact on Acoustic Environment of
Sensitive Spots in the Long-Term Operation (in 2034)
Informatio
Contributio Background Prediction
n of
Noise Coordinate Featu n value value value
reaching
sensitive re dB (A) dB (A) dB (A)
standard
spot year
Dayt Nigh Dayt Nigh Dayt Nigh Reach the
X Y
ime ttime ime ttime ime ttime standard
Chenjiazhuan Exceed the
-441.59 -2538.56 51.03 44.90 51.3 39.7 54.18 46.05
g standard
Exceed the
Donggou -386.08 -2046.89 53.38 47.25 49.9 38.2 54.99 47.76
standard
Weijiadazhua Exceed the
-160.07 -1995.34 2034 52.92 46.79 52.4 40.1 55.68 47.63
ng standard
Zhangjiamo Exceed the
-636.99 1398.86 52.35 46.22 48.9 37.5 53.97 46.77
Village Lane standard
Shanghuzhua Reach the
-773.26 2800.79 48.25 42.12 53.1 40.4 54.33 44.35
ngzi standard
World Bank EHS Quality Standards: Daytime: 55 dB (A), Nighttime: 45 dB (A)
Figure 6-28 Isoline of Noise Prediction in the Daytime During the Long-term(2034)
Operation of Gushuang Road
Figure 6-29 Isoline of Noise Prediction in the Daytime During the Long-term(2034)
Operation of Gushuang Road
In conclusion , after the completion of the project, the traffic noise has a certain
impact on the surrounding acoustic environment quality. According to the prediction
results in Table 6-30, it can be seen that after the background value is superimposed,
the noise standard in Chenjiazhuang, Donggou, Weijiadazhuang and Zhangjiamo
exceeds the standard regulated by World Bank EHS in the nighttime, particularly, the
noise value of Weijiadazhuang exceeds the standard both in the daytime and nighttime.
Therefore, this EIA requires the construction unit to actively monitor the current
status during the mid-term operation. In the event of any violation, the construction
unit should take timely noise prevention measures such as the replacement of double
glazing of sensitive spots, so that the impact of noise on the surrounding sensitive
spots will be reduced to a minimum.
④ Summary of noise prediction of sensitive spots
In conclusion, after the completion of the project, the traffic noise has a certain
impact on the surrounding acoustic environment quality. According to the above
prediction results, it can be seen that in the short-term operation, there is no violation in
each sensitive spot after the background value is superimposed during the project
operation, meeting the limit regulated by World Bank EHS Environmental Quality
Standards, namely, 55dB (A) in the daytime and 45dB (A) in the nighttime. However,
during the mid-term and long-term operation, the noise at a number of sensitive spots
begins to exceed the standard. During the long-term of operation, the noise in
Weijiadazhuang exceeds the standard both in the daytime and nighttime. Therefore, the
EIA requires that the construction unit actively carry out the current status monitoring
during the mid-term operation. In the event of any violation, noise prevention measures
should be adopted timely, such as the replacement of double glazing of sensitive spots,
so that the impact of noise on the surrounding sensitive spots will be reduced to a
minimum.
There is no sensitive spot around the Xingminxin Village of Xijing County of
Gulang County-S308 Route Road Project and the traffic volume is rather small after
the operation of the road, which poses the minor impact on the surrounding
environment.