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优化一个多媒体模型,以评估作物和自然植被在多环芳烃归宿中的不同作用。

Optimizing a multimedia model to assess the differential roles of crops and natural vegetation in the fate of PAHs.

作者信息

Su Chao, Zheng Danfeng, Chen Wenlei, Khan Kifayatullah, Zhang Hong, Song Shuai, Liang Ruoyu, Zhang Xiaoyu, Liu Yong, Cao Xianghui

机构信息

Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China.

Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China.

出版信息

J Environ Sci (China). 2026 Jan;159:413-423. doi: 10.1016/j.jes.2025.02.054. Epub 2025 Mar 28.

Abstract

Vegetation plays an important role in the environmental transport behavior of organic pollutants, however, the different roles of crops and natural vegetation have been ignored in most previous studies. In this study, we developed the BETR-Urban-Rural-Veg model to quantitatively evaluate the influences of both natural vegetation and crops on the multimedia transport processes of Phenanthrene (PHE) and Benzo(a)pyrene (BaP) in mainland of China. The geographic distribution of polycyclic aromatic hydrocarbon (PAH) emissions and concentrations were consistent, displaying higher levels in northern China while lower levels in southern China. Under seasonal simulations, for both natural vegetation and crops, PAH concentrations in winter and spring were 1.5 to 27-fold higher than in summer and autumn, especially for PHE. Owing to the higher leaf area index (LAI) of natural vegetation and harvesting of crops, the filter and sequestration effect of natural vegetation was stronger than crops, while the seasonal changes of PAH concentrations in crops were more significant than natural vegetation. Temperature, precipitation rates and LAI might have important influences on seasonal concentrations and overall persistence of PAHs. PHE was more sensitive to the impacts of seasonal environmental parameters. Under different landscape scenarios, average annual PAH concentrations in natural vegetation were always a little higher than those in crops, and the overall persistence of BaP was greatly affected increasing by 15.15 %-16.47 %. This improved model provides a useful tool for environmental management. The results of this study are expected to support land use plans and decision-making in mainland China.

摘要

植被在有机污染物的环境迁移行为中起着重要作用,然而,在大多数以往的研究中,作物和天然植被的不同作用被忽视了。在本研究中,我们开发了BETR-Urban-Rural-Veg模型,以定量评估天然植被和作物对中国内地菲(PHE)和苯并[a]芘(BaP)多介质迁移过程的影响。多环芳烃(PAH)排放和浓度的地理分布是一致的,在中国北方水平较高,而在中国南方水平较低。在季节性模拟中,对于天然植被和作物,冬季和春季的PAH浓度比夏季和秋季高1.5至27倍,尤其是菲。由于天然植被的叶面积指数(LAI)较高和作物的收获,天然植被的过滤和固存效应比作物更强,而作物中PAH浓度的季节变化比天然植被更显著。温度、降水率和LAI可能对PAHs的季节浓度和总体持久性有重要影响。菲对季节性环境参数的影响更敏感。在不同的景观情景下,天然植被中PAH的年均浓度总是略高于作物中的浓度,苯并[a]芘的总体持久性受到很大影响,增加了15.15%-16.47%。这个改进的模型为环境管理提供了一个有用的工具。本研究结果有望为中国内地的土地利用规划和决策提供支持。

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