城市气溶胶光学厚度空间格局特征多指标综合分析

doi:10.12082/dqxxkx.2018.170588

Abstract

Abstract:

In this study, a time series of MODIS -Aqua images were used to retrieve the atmospheric aerosol optical depth (AOD) of Xiamen City. Then, the spatio-temporal variations of AOD in different months of the year 2014/2015 except May and September were analyzed in respect of quantity, spatial configuration and structure, respectively. The analysis was implemented by integrating multiple indexes related to spatial autocorrelation and landscape metrics. The results showed that distribution of AOD had obvious spatial and temporal variations in the study area. The low-AOD patches were dominant over forests, while middle/high-AOD patches were dominant over built-up areas. The AOD showed significant seasonal variations, which increased in spring and summer and decreased in autumn and winter. The spatial clustering pattern of AOD, characterized by the indexes related to spatial autocorrelation, showed that low-low (LL) clustering pattern was in the northern mountains of the mainland, while high-high (HH) and high-low (HL) clustering patterns were in the newly developed northeast urban area of Xiamen Island and the urban areas of the mainland satellite towns along the coast. In terms of landscape metrics, high-AOD patches increased from autumn and winter to spring and summer, accompanied by an increase of both complexity and heterogeneity of the landscape structure. It is a useful tool to unfold more thorough, detailed and comprehensive description of the characteristics of AOD variation by using the multi-index analysis. Results of this study can help to assess the impact of aerosol on environment and climate, and provide decisions supporting for the sustainable development of cities.

Key words: aerosol optical depth (AOD), spatial autocorrelation, landscape metrics, multi-index analysis, spatio-temporal variation

ZHAO Xiaofeng,LIU Jiahui,ZHAO Yanchuang,WANG Feifei,Li Guilin. Multi-index Analysis of Spatial Patterns of Urban Aerosol Optical Depth[J].Journal of Geo-information Science, 2018, 20(3): 360-367.DOI:10.12082/dqxxkx.2018.170588

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References 21

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气溶胶光学厚度值范围	风险等级	代表意义
0-0.5	1	低
0.5-1.0	2	较低
1.0-1.5	3	中
1.5-1.7	4	高
>1.7	5	较高

Multi-index Analysis of Spatial Patterns of Urban Aerosol Optical Depth

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	月份
	1	2	3	4	5	6	7	8	9	10	11	12
数目/幅	5	1	3	5	0	1	1	2	0	9	3	7