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Multi-spatiotemporal patterns of aerosol optical depth and influencing factors during 2000–2020 from two spatial perspectives: The entire Yellow River Basin region and its urban agglomerations

2021; Elsevier BV; Volume: 106; Linguagem: Inglês

10.1016/j.jag.2021.102643

1872-826X

Yurong Zheng, Xuhong Wang, Zhang Xiu, Guigui Hu,

Atmospheric aerosols and clouds

Analyzing on the patterns and causes of atmosphere pollution in Yellow River Basin region (YRB) is critical for its construction of ecological civilization and high-quality development. Aerosol optical depth (AOD), an important optical property of aerosol that characterizes the attenuation of light by aerosols, is an indicator of regional atmospheric pollution. Based on multi-source data, we investigated spatiotemporal patterns of AOD and its influencing factors over YRB during 2000–2020 from two spatial perspectives: the entire region and its urban agglomerations. The spatial patterns and trends of AOD and its spatial response to several controls was quantitatively analyzed using Theil-Sen Slope, Mann-Kendall test and spatial principal component analysis, and its periodicity and spatial differences was finely described by extreme-point symmetric mode decomposition. The multi-year average AOD are higher in the middle and lower reaches of YRB than that in the upper reaches and significant seasonal differences of AOD spatial pattern are observed in YRB. Spatial patterns of AOD in YRB are mainly regulated by meteorology, topography and socio-economy, various factors and their combination exert different impacts on AOD. Despite the high contribution of meteorological factors in most urban agglomerations, their acting forces on AOD are not consistent. In terms of spatial trend, the areas where AOD decrease (94.54%) are much larger than the areas where AOD increase. For temporal trend, AOD exhibit a nonlinear downward trend throughout YRB, and its periodicity come from interaction of multi-time-scale components: inter-annual oscillations (imf5) and seasonal oscillations: seasonal periodic fluctuation (imf3), dust weather and man-made agricultural activities caused volatility (imf2) and fluctuation caused abrupt event (imf1), seasonal oscillations dominate the AOD changes. Those are of great significance for improving our understanding of the spationtemporal patterns and its controls of AOD on YRB and its urban agglomerations.