黄土高原
黄土
降水
中国
环境科学
化学成分
高原(数学)
自然地理学
环境化学
地球科学
地质学
土壤科学
地理
化学
气象学
地貌学
数学
有机化学
考古
数学分析
作者
Yuzhen Liu,Wanzhou Wang,Jingpeng Zhang,Zhi Li
标识
DOI:10.1016/j.scitotenv.2024.173401
摘要
Knowing the sources of precipitation chemical composition is essential to understand the biogeochemical cycle and control air pollution. Despite this issue has been directly investigated with precipitation ion contents, the effects of water vapor transport have not been fully considered. Taking the Loess Plateau of China (LPC) as an example study area, this study established nine precipitation monitoring sites considering the variability in topography and rainfall amounts, and collected 435 precipitation samples during 2020-2022 to measure the chemical composition. The correlation analysis, positive matrix factorization model and backward trajectory model were combined to analyze the characteristics, sources and vapor transport effects of precipitation chemical composition. Seasonally, except for NH
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