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51.
H. Pizarro M. S. Vera A. Vinocur G. Pérez M. Ferraro R. J. Menéndez Helman M. dos Santos Afonso 《Environmental science and pollution research international》2016,23(6):5143-5153
Since it was commercially introduced in 1974, glyphosate has been one of the most commonly used herbicides in agriculture worldwide, and there is growing concern about its adverse effects on the environment. Assuming that glyphosate may increase the organic turbidity of water bodies, we evaluated the effect of a single application of 2.4?±?0.1 mg l?1 of glyphosate (technical grade) on freshwater bacterioplankton and phytoplankton (pico, micro, and nanophytoplankton) and on the physical and chemical properties of the water. We used outdoor experimental mesocosms under clear and oligotrophic (phytoplanktonic chlorophyll a?=?2.04 μg l?1; turbidity?=?2.0 NTU) and organic turbid and eutrophic (phytoplanktonic chlorophyll a?=?50.3 μg l?1; turbidity?=?16.0 NTU) scenarios. Samplings were conducted at the beginning of the experiment and at 1, 8, 19, and 33 days after glyphosate addition. For both typologies, the herbicide affected the abiotic water properties (with a marked increase in total phosphorus), but it did not affect the structure of micro and nanophytoplankton. In clear waters, glyphosate treatment induced a trend toward higher bacteria and picoeukaryotes abundances, while there was a 2 to 2.5-fold increase in picocyanobacteria number. In turbid waters, without picoeukaryotes at the beginning of the experiment, glyphosate decreased bacteria abundance but increased the number of picocyanobacteria, suggesting a direct favorable effect. Moreover, our results show that the impact of the herbicide was observed in microorganisms from both oligo and eutrophic conditions, indicating that the impact would be independent of the trophic status of the water body. 相似文献
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Globally, greenhouse gas budgets are dominated by natural sources, and aquatic ecosystems are a prominent source of methane (CH4) to the atmosphere. Beaver (Castor canadensis and Castor fiber) populations have experienced human-driven change, and CH4 emissions associated with their habitat remain uncertain. This study reports the effect of near extinction and recovery of beavers globally on aquatic CH4 emissions and habitat. Resurgence of native beaver populations and their introduction in other regions accounts for emission of 0.18–0.80 Tg CH4 year−1 (year 2000). This flux is approximately 200 times larger than emissions from the same systems (ponds and flowing waters that became ponds) circa 1900. Beaver population recovery was estimated to have led to the creation of 9500–42 000 km2 of ponded water, and increased riparian interface length of >200 000 km. Continued range expansion and population growth in South America and Europe could further increase CH4 emissions.
Electronic supplementary material
The online version of this article (doi:10.1007/s13280-014-0575-y) contains supplementary material, which is available to authorized users. 相似文献53.
54.
Luyao Wen Chun Yang Xiaoliang Liao Yanhao Zhang Xuyang Chai Wenjun Gao Shulin Guo Yinglei Bi Suk-Ying Tsang Zhi-Feng Chen Zenghua Qi Zongwei Cai 《环境科学学报(英文版)》2022,34(5):443-452
The COVID-19 pandemic has raised awareness about various environmental issues,including PM2.5 pollution.Here,PM2.5 pollution during the COVID-19 lockdown was traced and analyzed to clarify the sources and factors influencing PM2.5 in Guangzhou,with an emphasis on heavy pollution.The lockdown led to large reductions in industrial and traffic emissions,which significantly reduced PM2.5 concentrations in Guangzhou.Interestingly,the trend of PM2.5 相似文献
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基于FHWA的兰州市道路交通噪声预测模型的建立 总被引:4,自引:0,他引:4
结合美国道路交通噪声污染预测模型(FHWA)和国内学者在该方面的大量研究成果,选择兰州市主、次干道共计52条、142个监测点的建模采样数据,并应用统计学原理分析了影响道路交通噪声的各个因子与道路交通噪声的相关性,最终得出了符合兰州市道路交通特征的噪声污染统计预测模型.随后通过兰州市15个监测点的预测与实测对比验证后发现二者具有较高的一致性,此模型可应用在兰州市道路交通噪声污染的预测评价中. 相似文献
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通过快速沉淀-NaBH_4微波水热还原制备了ZnO-还原氧化石墨烯(RGO)纳米复合物.采用X射线衍射(XRD)、激光拉曼光谱(Raman)、透射电子显微镜(TEM)、X射线光电子能谱(XPS)和光致发光(PL)等测试手段对复合光催化剂进行表征.结果表明,复合材料中的氧化锌为六方晶系纤锌矿结构,并均匀覆盖在RGO表面上,其直径大约为15—20 nm.ZnO-RGO复合材料的光催化性能明显优于氧化锌,为纯ZnO的2.5倍.光催化性能提高可能归因于RGO优良的电子传输能力加速了ZnO-RGO纳米材料光生载流子的分离效率. 相似文献