| 中国沉积物多环芳烃的时空分布及驱动因子 |
| 摘要点击 1760 全文点击 1719 投稿时间：2022-01-21 修订日期：2022-04-20 |
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| 中文关键词 多环芳烃(PAHs)|内陆沉积物|社会经济因素|贝叶斯模型|重力模型 |
| 英文关键词 polycyclic aromatic hydrocarbons (PAHs)|inland sediment|socio-economic factors|Bayesian estimation|gravity model |
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| 中文摘要 |
| 根据2000~2020年中国湖泊、河流和河口沉积物中多环芳烃(PAHs)的时空分布,并通过构建结构方程模型和重力模型分析了驱动PAHs时空分布的社会经济因素.结果表明,不同地区沉积物中PAHs含量由高到低依次为:北部沿海>东北>东部沿海>南部沿海>黄河中游>长江中游>西南>西北.南部沿海、长江中游和东部沿海地区高分子量PAHs的比例相对较高,东北、西北、北部沿海和黄河中游地区低环PAHs的比例相对较高.沉积物中PAHs的含量从2000年起逐渐增加,2006年以后逐渐减少,且不同地区沉积物中PAHs含量到达峰值的年份有显著差异.经济发达地区沉积物中PAHs的含量在达到峰值后逐渐下降;发展中地区由于经济发展较快导致污染物积累较快.偏远或欠发达地区PAHs含量逐渐增加,但累积率低于发达地区.城市化和工业化对沉积物中PAHs的影响显著,其中对沉积物中PAHs分布影响最大的因素为经济发展. |
| 英文摘要 |
| This study reviewed the spatial and temporal distributions of polycyclic aromatic hydrocarbons (PAHs) during 2000-2010 in inland sediments of China and quantified the underlying socioeconomic determinants based on the structural equation model and gravity model. We found that PAHs concentrations in the sediments of eight different regions followed the order of Northern coast>Northeast>Eastern coast>Southern coast>Middle Yellow River>Middle Yangtze River>Southwest>Northwest. The Southern coast, Middle Yangtze River, and Southern coast regions showed large contributions to the high-molecular weight PAHs, whereas the Northeast, Northwest, and Middle Yellow River regions showed high contributions to the low-molecular weight PAHs. PAHs concentrations continuously increased from the year 2000 followed by a gradual decline after 2006, with significant differences in the year when PAHs levels reached their peak. PAHs concentrations of sediment in developed regions declined in recent years following a continuous increase in the 2000s; however, they still increased rapidly in developing regions owing to fast economic development. In addition, the increment rate of PAHs concentrations in sediment at the remote or less-developed regions was slower than that at the developed regions. Urbanization and industrialization had an important effect on PAHs in the sediments, and the largest influencing factor was the economic development. |
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