Vehicular emission trends in the Pan-Yangtze River Delta in China between 1999 and 2013

Song, Xiaowei; Hao, Yufan; Zhang, Chen; Peng, Jingyu; Zhu, Xiaodong

doi:10.1016/j.jclepro.2016.07.197

Cited by 39 publications

(21 citation statements)

References 32 publications

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“…The emission is usually estimated using two variables: 'emission factor' and 'activity of the emission source' [19,47,48,52]. In case of the road transportation sector, the emission factor is the average emission of pollutant released into the air as a result of driving the particular distance or combustion of the particular amount of fuel.…”

Section: Methodsmentioning

confidence: 99%

Vehicle Hydrocarbons’ Emission Characteristics Determined Using the Monte Carlo Method

Laskowski

Zasina

Zimakowska-Laskowska

et al. 2018

Environ Model Assess

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Section: Methodsmentioning

confidence: 99%

Vehicle Hydrocarbons’ Emission Characteristics Determined Using the Monte Carlo Method

Laskowski

Zasina

Zimakowska-Laskowska

et al. 2018

Environ Model Assess

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“…For example, EU standardization levels II, III, and IV in buses are significantly different in terms of pollutant tolerance. This is exceedingly important in densely populated areas (e.g., large Chinese cities, see [25]). It is considered that, particularly in economically growing developing countries, instead of acquiring older diesel engine HDTs there should be a direct leap into clean-tech transport vehicles and low polluting engines following the strictest standards.…”

Section: Findings From the Articlesmentioning

confidence: 99%

Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport

Inkinen

Hämäläinen

2020

Sustainability

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Low emission logistics have become an expected and desired goal in all fields of transportation, particularly in the European Union. Heavy-duty trucks (HDTs) are significant producers of emissions and pollution in inland transports. Their role is significant, as in multimodal transport chains truck transportation is, in most cases, the only viable solution to connect hinterlands with ports. Diesel engines are the main power source of trucks and their emission efficiency is the key challenge in environmentally sound freight transportation. This review paper addresses the academic literature focusing on truck emissions. The paper relies on the preliminary hypothesis that simple single solutions are nonexistent and that there will be a collection of suggestions and solutions for improving the emission efficiency in trucks. The paper focuses on the technical properties, emission types, and fuel solutions used in freight logistics. Truck manufacturing, maintenance, and other indirect emissions like construction of road infrastructure have been excluded from this review.

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“…The Pan Yangtze River Delta region (PYRD) [61,62], lying in the intersection of the “Belt and Road” and the “Yangtze River Economic Belt” in China [63], has long suffered severe air pollution due to its rapid economic development and urbanization [22]. However, previous studies on aerosol pollution were mainly conducted for the Yangtze River Delta region (YRD) [32,64,65] with few studies focusing on Anhui [52,66,67], a province is adjacent to the YRD with a high concentration of particulate matter [22].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variability and Influencing Factors of Aerosol Optical Depth over the Pan Yangtze River Delta during the 2014–2017 Period

Cheng

Chen

et al. 2019

IJERPH

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Large amounts of aerosol particles suspended in the atmosphere pose a serious challenge to the climate and human health. In this study, we produced a dataset through merging the Moderate Resolution Imaging Spectrometers (MODIS) Collection 6.1 3-km resolution Dark Target aerosol optical depth (DT AOD) with the 10-km resolution Deep Blue aerosol optical depth (DB AOD) data by linear regression and made use of it to unravel the spatiotemporal characteristics of aerosols over the Pan Yangtze River Delta (PYRD) region from 2014 to 2017. Then, the geographical detector method and multiple linear regression analysis were employed to investigate the contributions of influencing factors. Results indicate that: (1) compared to the original Terra DT and Aqua DT AOD data, the average daily spatial coverage of the merged AOD data increased by 94% and 132%, respectively; (2) the values of four-year average AOD were high in the north-east and low in the south-west of the PYRD; (3) the annual average AOD showed a decreasing trend from 2014 to 2017 while the seasonal average AOD reached its maximum in spring; and that (4) Digital Elevation Model (DEM) and slope contributed most to the spatial distribution of AOD, followed by precipitation and population density. Our study highlights the spatiotemporal variability of aerosol optical depth and the contributions of different factors over this large geographical area in the four-year period, and can, therefore, provide useful insights into the air pollution control for decision makers.

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Vehicular emission trends in the Pan-Yangtze River Delta in China between 1999 and 2013

Cited by 39 publications

References 32 publications

Vehicle Hydrocarbons’ Emission Characteristics Determined Using the Monte Carlo Method

Vehicle Hydrocarbons’ Emission Characteristics Determined Using the Monte Carlo Method

Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport

Spatiotemporal Variability and Influencing Factors of Aerosol Optical Depth over the Pan Yangtze River Delta during the 2014–2017 Period

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