Analysis of the Impact of Urban Sprawl on Haze Pollution Based on the NPP-VIIRS Nighttime Light Remote Sensing Data

被引：0
|
作者：
Wu Y. [1 ,2 ,3 ]
Shi K. [1 ,2 ,3 ]
Yu B. [4 ]
Li C. [5 ]
机构：
[1] School of Geographical Sciences, Southwest University, Chongqing
[2] State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, Southwest University, Chongqing
[3] Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, School of Geographical Sciences, Southwest University, Chongqing
[4] Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai
[5] College of Resources and Environment, Southwest University, Chongqing
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2021年 / 46卷 / 05期
关键词：
Haze pollution; Nighttime light data; NPP-VIIRS; PM2.5; Urban sprawl;
D O I：
10.13203/j.whugis20200455
中图分类号：
学科分类号：
摘要：
Objectives: Since China's haze pollution to some extent accompanies urban sprawl, whether urban sprawl has exacerbated China's haze pollution is still unclear. Thus, exploring the effect of urban sprawl on haze pollution will provide a scientific reference for China to build a sustainable urban development path. Methods: Based on the NPP-VIIRS (national polar-orbiting partnership's visible infrared imaging radiometer suite) nighttime light data, we first comprehensively calculate the index of urban sprawl. Then, through the construction of a panel data model for 204 sample cities in Chinse mainland at the prefectural level, the empirical analysis of the effect of urban sprawl on haze pollution is conducted. Also, the driving mechanism of urban sprawl's effect on haze pollution is comprehensively identified by means of mediating effect method. Results: Compared with the original NPP-VIIRS data, the corrected NPP-VIIRS data performs better results which could more accurately reveal the gross domestic product, electric power consumption, and population in China. It's verified that the nighttime light data can be a good substitute for statistical data to measure and quantify the urban sprawl index. Urban sprawl will aggravate smog pollution and this result has passed the robustness test after removing cities in the heating area. We find urban sprawl indirectly affected on haze pollution mainly through hag glomeration effects, land urbanization effects, and industrial structure effects. Specifically, in the process of urban sprawl in China, the increase of population size, the rapid expansion of construction land, and the high proportion of secondary industry value are the important key factors for the aggravation of haze pollution. Conclusions: We provide a new perspective to reveal the effect of urban sprawl on haze pollution from the nighttime light data. We suggest the control of haze pollution should be based on the actual situation of China and formulate a haze control policy suitable for the conditions of China. © 2021, Editorial Board of Geomatics and Information Science of Wuhan University. All right reserved.
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页码：777 / 789
页数：12
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