Spatiotemporal Variation Characteristics and Driving Factors of Vegetation Canopy Interception in Beijing

• DOI: 10.20944/preprints202410.1027.v1
• Publication Date: 2024-10-15T05:23:56Z
• Authors: Wenjie Zeng; Tingning Zhao; Changqing Shi; Jianying Yang; Yunkai Qian; Shuai Ma; Qingli Huang
• Keywords: Interception; Variation (astronomy)

In order to better understand the temporal and spatial variation of canopy rainfall interception with watershed, this study, remote sensing observation data at regional scale were coupled vegetation model constructed by A.P.J. DEROO for validation, trend was analyzed through linear nonlinear trends, quantified influencing factors different altitudes regions time scales. The results show that: (1) Compared PML_V2 measured values, root mean square errors simulated inter-ception values are 5.69 3.37, effective factor 0.66 0.64, respectively, which confirms reliability A.P.J.DE ROO in estimating Beijing. (2) From 2005 2020, annual volume rate showed an upward trend, largest increase 3.8%/a, reversed 2015, changing from (6.5 mm/a) a decrease (-5.8 mm/a). (3) Theil-Sen Median used test Beijing, increasing 89.5%, decreasing 8.7%, basically unchanged area 1.8%. Through BFAST01 mutation test, 4.4% whole region had mutations, southern detection type accounted proportion. (4) Leaf index, rainfall, height slope strongest explanatory power monthly analysis, while wind speed temperature weaker. study provide new insights into analysis changes can help accurately assess impact forest ecosystems on water cycles scientific practical resource man-agement.