Fuzhou World Bank Financed Projects Nanjiang Binlu, Phase-ii project of the Third Ring Road and Kuiqi Bridge environmental impact report

Download 3.93 Mb.

Page	26/48
Date	13.07.2017
Size	3.93 Mb.
	#23223

1 ... 22 23 24 25 26 27 28 29 ... 48

6.3.4 Forecast of Impact of Emission of Motor Vehicles on Both Sides of Roads
6.3.4.2 Time Step of Forecast

6.3.3 Forecasting mode

On a busy road, the emission of emission of motor vehicles is generally considered as linear source. Mostly Gaussian Mode of statistics is used to stimulate the diffusion rule of emission of motor vehicles and estimate the concentration distribution of pollutants in emission of motor vehicles. Since 1970’s, a serial of diffusion modes of emission of motor vehicles on roads have been developed in the countries such as America. Now the diffusion mode of linear source- CALINE4 can be used to predict the impact of emission of emission of motor vehicles on the ambient air quality of Nanjiang Binlu, the Phase-II Project of the Third Ring Road and Kuiqi Bridge.

CALINE 4 mode is to divide roads into a serial of linear sources and respectively count the concentration of pollutants exhausted by each linear source at predicted site, and then sum up the total concentration of pollutants in emission exhausted by motor vehicles at predicted sites on the whole road. CALINE 4 divides limited linear source into sections as per the length of y and source strength of each section is the source strength of linear source (A) times a Weight Factor, which is used to count the impact of six linear sources within 3y on predicted sites. If the line section exceeds this range, the impact is little, so the time for counting can be saved. Therefore, the concentration of pollutants produced at predicted sites of the whole road can be counted:

Thereinto: C--- Concentration of pollutants at Coordinate X, Y and Z of low wind direction, mg/m³；

u---Average wind speed，m/s；

H---Height of emission source of pollutants，m；

WTj—Weight Factor；

Qj---Linear source intensity of section j，mg/(m.s)；

_Z---Diffusion parameter in vertical direction，m；

Z—Height from predicted sites to ground，(m)；

N---Total numbers of linear sources；

PD_ij—Normal distribution function，

Initial dilution zone in CALINE 4 is used to stimulate the impact of movement of motor vehicles on diffusion of emission of motor vehicles. The width of initial dilution zone is the width of road plus 3m of two sides which show the impact of movement of motor vehicles on horizontal diffusion of emission. In the dilution zone, atmosphere diffusion is mainly mechanical turbulence produced by movement of motor vehicles and thermal turbulence produced from residual heat of emission. The pollutants in emission exhausted by motor vehicles are mixed evenly in initial dilution zone. The height of initial dilution zone depends on the retention time (T) of pollutants in emission of motor vehicles in dilution zone.

(45)

(45)

Thereinto:

W
refers to the width of dilution zone，u refers to the wind speed on ground， refers to the corner of wind direction and road. The height of initial dilution zone can be defined as:
2) Access of Diffusion Parameters
The diffusion parameters in common use (or through actual measuring) in Fuzhou can be used.

6.3.4 Forecast of Impact of Emission of Motor Vehicles on Both Sides of Roads

6.3.4.1 Main Contents of Forecast

Main contents of forecast:

(1) In the predominant wind direction (South-southeast), when the stability of NO₂and CO is at B, D and E respectively, the ground concentration increasing distribution;
(2) In the (north wind), when the stability of NO₂and CO is at B, D and E respectively, the ground concentration increasing distribution;
(3) The ground concentration increasing distribution in the predominant south-southeast wind and north wind and under the bad weather (wind speed 1m/s, E stability).

6.3.4.2 Time Step of Forecast

As the characteristics of roads and annual peak hours of flow of motor vehicles have been predicted respectively, the concentration increasing distribution status of air pollutants on both sides of roads.

6.3.4.3 The Results of Forecast

Since the air pollutants exhausted by motor vehicles are NOX, while the state quality standard is NO2, in order to analyze the impact of NO2 on ambient air, relevant research about emission of emission of motor vehicles and ambient air quality indicates that the proportion coefficient of NOX and NO2 is 0.63～0.5, when the proportion coefficient of suburb is the maximum, that of city is the minimum. As far as present, the roads of the Project lie at not only busy section but also suburb, while from the general development plan of Fuzhou, we know that the roads of the Project lie in city, therefore, in NOX analysis this time, coefficient 0.6 is adopted to convert NOX calculation results into NO2.

(1) For Forecast Results of Ambient air of Nanjiang Binlu, See Table 6.3-8～6.3-19
Table 6.3-8 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Qianhengnan Road in 2010 mg/m³

Distance(Southern side of road)	North wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.044	0.047	0.133	0.140	0.088	0.263
10	0.039	0.043	0.117	0.129	0.086	0.256
25	0.029	0.035	0.086	0.104	0.079	0.237
50	0.020	0.026	0.059	0.078	0.071	0.211
100	0.012	0.017	0.036	0.052	0.058	0.172
150	0.008	0.013	0.026	0.038	0.049	0.146
200	0.007	0.010	0.020	0.031	0.042	0.126
300	0.005	0.007	0.014	0.022	0.033	0.099

Table 6.3-9 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Qianhengnan Road in 2015 mg/m³

Distance(Southern side of road)	North wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.064	0.067	0.190	0.201	0.126	0.377
10	0.056	0.062	0.168	0.185	0.122	0.367
25	0.041	0.050	0.122	0.149	0.113	0.340
50	0.028	0.037	0.084	0.112	0.101	0.302
100	0.017	0.025	0.051	0.074	0.082	0.247
150	0.013	0.019	0.037	0.055	0.070	0.209
200	0.010	0.014	0.029	0.044	0.060	0.180
300	0.007	0.010	0.020	0.031	0.047	0.142

Table 6.3-10 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Qianhengnan Road in 2020 mg/m³

Distance(Southern side of road)	North wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.067	0.071	0.200	0.211	0.133	0.398
10	0.059	0.065	0.177	0.195	0.129	0.387
25	0.043	0.052	0.129	0.157	0.119	0.358
50	0.029	0.039	0.088	0.118	0.106	0.318
100	0.018	0.026	0.054	0.078	0.087	0.260
150	0.013	0.019	0.039	0.058	0.073	0.220
200	0.010	0.016	0.030	0.046	0.064	0.190
300	0.007	0.011	0.021	0.033	0.050	0.150

Table 6.3-11 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Sanxianzhou Bridge in 2010 mg/m³

Distance(Southern side of road)	North wind				Bad weather condition
	NO₂		CO		NO_x	CO
	B	D	B	D	E	E
5	0.071	0.074	0.212	0.224	0.148	0.444
10	0.062	0.068	0.185	0.205	0.144	0.431
25	0.045	0.055	0.134	0.164	0.132	0.395
50	0.031	0.041	0.091	0.121	0.115	0.346
100	0.019	0.026	0.055	0.079	0.092	0.276
150	0.013	0.020	0.039	0.059	0.077	0.230
200	0.010	0.016	0.031	0.047	0.066	0.197
300	0.007	0.011	0.021	0.033	0.051	0.153

Table 6.3-12 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Sanxianzhou Bridge in 2015 mg/m³

Distance(Southern side of road)	North wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.086	0.091	0.257	0.271	0.181	0.539
10	0.075	0.083	0.225	0.249	0.175	0.522
25	0.055	0.067	0.162	0.199	0.160	0.478
50	0.037	0.049	0.110	0.147	0.140	0.419
100	0.022	0.032	0.067	0.096	0.112	0.335
150	0.016	0.024	0.048	0.071	0.094	0.279
200	0.013	0.019	0.037	0.057	0.080	0.239
300	0.008	0.013	0.026	0.040	0.062	0.185

Table 6.3-13 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Sanxianzhou Bridge in 2020 mg/m³

Distance(Southern side of road)	North wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.168	0.178	0.302	0.319	0.353	0.633
10	0.147	0.163	0.264	0.293	0.342	0.614
25	0.106	0.130	0.191	0.233	0.313	0.562
50	0.072	0.097	0.129	0.173	0.274	0.493
100	0.044	0.063	0.078	0.113	0.220	0.394
150	0.031	0.047	0.056	0.084	0.183	0.328
200	0.024	0.037	0.044	0.067	0.157	0.281
300	0.017	0.026	0.030	0.047	0.121	0.218

Table 6.3-14 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Qianhengnan Road to Aofengzhou Bridge in 2010 mg/m³

Distance(Northern side of road)	South-southeast wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.032	0.034	0.096	0.101	0.084	0.251
10	0.028	0.031	0.084	0.092	0.082	0.244
25	0.020	0.025	0.061	0.073	0.076	0.226
50	0.014	0.019	0.041	0.055	0.068	0.203
100	0.008	0.012	0.025	0.037	0.058	0.174
150	0.006	0.009	0.018	0.028	0.051	0.153
200	0.005	0.007	0.014	0.022	0.045	0.135
300	0.003	0.005	0.010	0.015	0.084	0.106

Table 6.3-15 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Qianhengnan Road to Aofengzhou Bridge in 2015 mg/m³

Distance(Northern side of road)	South-southeast wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.046	0.048	0.137	0.144	0.120	0.360
10	0.040	0.044	0.120	0.131	0.117	0.350
25	0.029	0.035	0.088	0.104	0.108	0.324
50	0.020	0.026	0.059	0.079	0.097	0.291
100	0.012	0.017	0.036	0.053	0.083	0.249
150	0.009	0.013	0.026	0.040	0.073	0.219
200	0.007	0.010	0.020	0.031	0.064	0.193
300	0.005	0.007	0.014	0.022	0.050	0.151

Table 6.3-16 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Qianhengnan Road to Aofengzhou Bridge in 2020 mg/m³

Distance(Northern side of road)	South-southeast wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.048	0.050	0.145	0.152	0.133	0.398
10	0.042	0.046	0.126	0.139	0.129	0.387
25	0.031	0.037	0.092	0.110	0.119	0.358
50	0.020	0.028	0.062	0.083	0.106	0.318
100	0.013	0.019	0.038	0.055	0.087	0.260
150	0.009	0.014	0.027	0.042	0.073	0.220
200	0.007	0.011	0.021	0.033	0.064	0.190
300	0.005	0.008	0.014	0.023	0.050	0.150

Table 6.3-17 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Sanxianzhou Bridge in 2010 mg/m³

Distance(Northern side of road)	South-southeast wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.050	0.053	0.152	0.159	0.142	0.425
10	0.044	0.048	0.132	0.145	0.137	0.412
25	0.032	0.038	0.097	0.115	0.126	0.377
50	0.021	0.029	0.063	0.086	0.113	0.338
100	0.013	0.019	0.039	0.057	0.095	0.286
150	0.009	0.014	0.028	0.042	0.082	0.246
200	0.007	0.011	0.021	0.033	0.070	0.211
300	0.005	0.008	0.014	0.023	0.053	0.161

Table 6.3-18 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Sanxianzhou Bridge in 2015 mg/m³

Distance(Northern side of road)	South-southeast wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.061	0.064	0.184	0.192	0.173	0.516
10	0.054	0.059	0.161	0.175	0.167	0.500
25	0.039	0.047	0.117	0.139	0.153	0.458
50	0.025	0.035	0.076	0.104	0.137	0.410
100	0.016	0.023	0.047	0.069	0.116	0.347
150	0.011	0.017	0.034	0.051	0.100	0.298
200	0.008	0.013	0.026	0.040	0.086	0.255
300	0.006	0.009	0.017	0.028	0.065	0.195

Table 6.3-19 Concentration Distribution of Pollutants in Emission of Motor Vehicles on the section from Aofengzhou Bridge to Sanxianzhou Bridge in 2020 mg/m³

Distance(Northern side of road)	South-southeast wind				Bad weather condition
	NO₂		CO		NO₂	CO
	B	D	B	D	E	E
5	0.120	0.126	0.216	0.226	0.338	0.606
10	0.105	0.115	0.189	0.206	0.327	0.587
25	0.077	0.091	0.138	0.164	0.300	0.538
50	0.050	0.068	0.089	0.123	0.268	0.482
100	0.031	0.046	0.056	0.082	0.227	0.408
150	0.022	0.034	0.039	0.060	0.195	0.350
200	0.017	0.026	0.030	0.047	0.167	0.300
300	0.011	0.018	0.021	0.033	0.128	0.229

Directory: curated
curated -> Concept stage
curated -> Concept stage
curated -> Republic of Côte d'Ivoire Urbanization Review
curated -> Report No: aus11011 Central America
curated -> Report No. 94474-pk fiscal Disaster Risk Assessment Options for Consideration
curated -> Environmental and Social Management Framework for the Costa Rica Telecommunications Sector Modernization Project
curated -> Environment Impact Assessment For Jiangxi Shangrao Sanqingshan Airport Beijing Guohuantiandi Environmental Technology Development Center. Ltd. Oct. 2012 Content
curated -> Growth through Innovation An Industrial Strategy for Shanghai By Shahid Yusuf Kaoru Nabeshima April 22nd, 2009
curated -> Report No: 70178. People's Republic of China

Download 3.93 Mb.

Share with your friends:

1 ... 22 23 24 25 26 27 28 29 ... 48