GIS-based emission inventories of urban scale: A case study of Hangzhou, China

Wei, Yueguang; Tian, Wenxi; Kemin, Yang

doi:10.1016/j.atmosenv.2008.02.012

Cited by 41 publications

(19 citation statements)

References 16 publications

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“…For example, carbon monoxide (CO) emission from motor vehicles contributed to 76.5% and 81.5% of the total air pollutants in Beijing and Hangzhou, respectively. The contribution rate for nitrogen oxides (NO x ) increased to 41.5% and 68.4% in the aforementioned two cities (Hao et al, 2001, Zhang et al, 2008a. Vehicular NO x , volatile organic compounds (VOCs), and particular matter (PM) emission contributions in the Pearl River Delta Region, China were 79.7%, 69.8%, and 77.9%, respectively (Che et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers have predicted that the vehicle population of China will increase more than 1470 million by the year 2030 (Zhang et al, 2010;Hao et al, 2011). The rapid vehicle increase has resulted in more and more serious problems (Zhang et al, 2008a), especially the degradation of air quality in urban areas (Saikawa et al, 2011). For example, carbon monoxide (CO) emission from motor vehicles contributed to 76.5% and 81.5% of the total air pollutants in Beijing and Hangzhou, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

Tian

et al. 2014

J. Zhejiang Univ. Sci. A

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Motor vehicles are the major source of urban air pollution. The abatement of air pollutant emissions is an urgent task for environmental protection. This paper simulated the abatement for carbon monoxide (CO), volatile organic compounds (VOCs), nitrogen oxides (NO x ), and particular matter (PM) emissions from vehicles under four scenarios in the year 2015 in Hangzhou, China. It was found that the emissions of CO, VOCs, NO x , and PM from vehicles were 440.551, 23.079, 44.255, and 6.532 kt/a in 2010 in Hangzhou, respectively. The vehicle population will increase to over 1.2 million with a 60.7% growth rate until 2015 (estimated). Based on the scenario analysis, it was found that eliminating substandard vehicles and upgrading vehicle's standards could help reduce CO and VOCs effectively, while the expected abatement of NO x and PM would be offset by the rapid increase in the vehicle numbers. It was also found that integrated measurements, including eliminating substandard vehicles, upgrading vehicle standards, supplying low sulfur oil, and introducing alternative fuel vehicles could simultaneously reduce the four key pollutants. These integrated policies make it possible to reduce 250.197, 10.270, 1.791, and 0.335 kt/a CO, VOCs, NO x , and PM with 56.79%, 44.50%, 4.05%, and 5.14% decrease rates in 2015, respectively, when compared to those in 2010.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

Tian

et al. 2014

J. Zhejiang Univ. Sci. A

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“…Most of the studies on air pollutant emission inventories in the YRD region were still on the city-scale. Chen et al (2006) and Zhang et al (2008) have published the emission inventories for Shanghai and Hangzhou city, respectively. However, with city-scale emission inventories, it is hard to draw a whole picture of the total emission level and emission distribution for the YRD region.…”

Section: Introductionmentioning

confidence: 99%

Emission inventory of anthropogenic air pollutants and VOC species in the Yangtze River Delta region, China

et al. 2011

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Abstract. The purpose of this study is to develop an emission inventory for major anthropogenic air pollutants and VOC species in the Yangtze River Delta (YRD) region for the year 2007. A "bottom-up" methodology was adopted to compile the inventory based on major emission sources in the sixteen cities of this region. Results show that the emissions of SO 2 , NO x , CO, PM 10 , PM 2.5 , VOCs, and NH 3 in the YRD region for the year 2007 are 2392 kt, 2293 kt, 6697 kt, 3116 kt, 1511 kt, 2767 kt, and 459 kt, respectively. Ethylene, mp-xylene, o-xylene, toluene, 1,2,4-trimethylbenzene, 2,4-dimethylpentane, ethyl benzene, propylene, 1-pentene, and isoprene are the key species contributing 77 % to the total ozone formation potential (OFP). The spatial distribution of the emissions shows the emissions and OFPs are mainly concentrated in the urban and industrial areas along the Yangtze River and around Hangzhou Bay. The industrial sources, including power plants other fuel combustion facilities, and non-combustion processes contribute about 97 %, 86 %, 89 %, 91 %, and 69 % of the total SO 2 , NO x , PM 10 , PM 2.5 , and VOC emissions. Vehicles take up 12.3 % and 12.4 % of the NO x and VOC emissions, respectively. Regarding OFPs, the chemical industry, domestic use of paint & printing, and gasoline vehicles contribute 38 %, 24 %, and 12 % to the ozone formation in the YRD region.

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“…Numerous studies pointed out the uncertainties in available emission data as an important source of inaccuracies in model results [1][2][3][4][5][6][7][8]. Thus it is not surprising that significant efforts are devoted to the development of emission inventories on urban regional, continental and global scales [9][10][11][12][13][14][15][16][17]. A common way of elaborating emission estimates involves the processing of available statistical information regarding different activities, such as industry, energy production, transport and others.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Air Quality Monitoring Networks for the Evaluation of Nitrogen Oxide Emission Inventories

Konovalov¹,

Beekmann²

2008

TOASCJ

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Abstract:The usefulness of ground based air quality monitoring data for diagnostics of uncertainties in gridded emission inventories is examined. A general probabilistic procedure for comparison of levels of uncertainties in different emission datasets is developed. It implies the evaluation of the agreement between modeling results obtained with these emission datasets and corresponding measurements. This procedure is applied to the evaluation of different datasets for European gridded nitrogen oxide (NO x ) emissions by using the AirBase monitoring data and the CHIMERE chemistry-transport model. Numerical experiments are performed for two different types of spatial distributions of emission uncertainties and five different types of monitors. The results are also generalized for various levels of uncertainties in simulated and measured data. It is found, in particular, that most informative, from the point of view of diagnostics of NO x emission uncertainties, are the measurements of NO 2 at rural background sites and measurements of ozone at suburban sites situated in the vicinity of intensive sources of emissions. A more precise conclusion regarding the relative accuracy of two emission datasets can be drawn with a larger number of monitors in a network and a higher accuracy of the model and measurements. For example, with a network of 50 rural background NO 2 monitors, the probability of choosing the more certain emission data set is more than 90 percent, if differences in uncertainty of two sets are more than 50 percent. Practical recommendations for designing or evolving surface measurement networks, in light of the study results, are given.

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GIS-based emission inventories of urban scale: A case study of Hangzhou, China

Cited by 41 publications

References 16 publications

Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

Emission inventory of anthropogenic air pollutants and VOC species in the Yangtze River Delta region, China

On the Use of Air Quality Monitoring Networks for the Evaluation of Nitrogen Oxide Emission Inventories

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