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The influence of spatiality on shipping emissions, air quality and potential human exposure in Yangtze River Delta/Shanghai, China

Authors :
Junlan Feng
Yan Zhang
Shanshan Li
Jingbo Mao
Allison P. Patton
Yuyan Zhou
Weichun Ma
Cong Liu
Haidong Kan
Cheng Huang
Jingyu An
Li Li
Yin Shen
Qingyan Fu
Xinning Wang
Juan Liu
Shuxiao Wang
Dian Ding
Jie Cheng
Wangqi Ge
Hong Zhu
Katherine Walker
Publication Year :
2018

Abstract

The Yangtze River Delta (YRD) and the megacity of Shanghai are host to one of the busiest port clusters in the world, the region also suffers from high levels of air pollution. The goal of this study was to estimate the contributions of shipping to emissions, air quality, and population exposure and characterize their dependence on the geographic spatiality of ship lanes from the regional scale to city scale for 2015. The WRF-CMAQ model was used to simulate the influence of coastal and inland-water shipping, in port emissions, shipping-related cargo transport on air quality and, population-weighted concentrations, a measure of human exposure. Our results showed that the impact of shipping on air quality in the YRD was attributable primarily to shipping emissions within 12 NM of shore, but emissions coming from the coastal area of 24 to 96 NM still contributed substantially to ship-related PM2.5 concentrations in YRD. The overall contribution of ships to PM2.5 concentration in YRD could reach to 4.62 μg/m3 in summer when monsoon winds transport shipping emissions onshore. In Shanghai city, inland-water going ships were major contributors (40–80 %) to the shipping impact on urban air quality. Given the proximity of inland-water ships to urban populations of Shanghai, the emissions of inland-water ships contributed more to population-weighted concentrations. These research results provide scientific evidence to inform policies for controlling future shipping emissions; in particular, stricter standards could be considered for the ships on inland rivers and other waterways close to residential regions.

Details

Language :
English
ISSN :
16807324
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....1f3c9a5b17757fa7a72cfaf95c1719b8