4.7 Article

Air quality and its response to satellite-derived urban form in the Yangtze River Delta, China

Journal

ECOLOGICAL INDICATORS
Volume 75, Issue -, Pages 297-306

Publisher

ELSEVIER
DOI: 10.1016/j.ecolind.2016.12.045

Keywords

Urban air pollution; Urban form; Landscape metrics; Buffer distances; Yangtze River Delta

Funding

  1. National Natural Science Foundation of China [41471076, 41401638, 41401101]
  2. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University [2017LSDMIS07]

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Air pollution is one of the top environmental concerns and causes of deaths and various diseases worldwide. An important question for sustainable development is to what extent urban design can improve or degrade urban air quality. In this article, we explored the relationship between ground-based observations of air pollution and urban form in the Yangtze River Delta (YRD), the largest metropolitan region in China. We analyzed six criteria pollutants (SO2, NO2, PM10, PM2.5. CO, O-3) and summarized metric (air quality index, AQI) from 129 ambient air quality monitoring stations during 2015. Urban form was characterized using six spatial metrics, including the size, shape, regularity, fragmentation and traffic coupling factor of urban patches, based on satellite-derived land cover data. The results indicated that: (1) PM2.5, PM10 and O-3 were three primary pollutants in the YRD: The annual average AQI was 79, and the air quality was moderate for human health, with the highest and lowest AQI appeared in winter (107) and summer (60). Moreover, the air quality of the southern areas (Zhejiang province, AQI: 68) was generally better than the northern parts (Jiangsu province, AQI: 86). (2) Through the size and shape of urban patches, urban form had a significant effect on urban air quality in the YRD. PARA_MN (Mean Perimeter-area ratio), ENN_MN (Mean Euclidean Nearest Neighbor Distance), CA (Total Urban Area) and NP (Number of urban patches) had the most significant impacts on air quality. PM10 and PM2.5 were two important pollutants highly positively related to CA and NP, while negatively related to PARA_MN and ENN_MN. In addition, the polycentric urban form was associated with high air quality. (3) Land use configuration was an important indicator to describe the urban air quality. When buffer distance of spatial scale was 25 km, air quality showed the highest correlation with forest coverage. A high forest coverage rate contributed to the better air quality, increasing or preserving the forested areas would help mitigate the air pollution. (C) 2016 Elsevier Ltd. All rights reserved.

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