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981.
982.
PM10是衡量大气环境质量好坏的重要指标之一;多环芳烃(PAHs)是具有强烈致癌性的有机污染物,大多吸附在粒径小于10 μm颗粒物上.利用长期定位实验采集了南京市两典型功能区--大厂地区和山西路的PM10样品,对其PAHs质量浓度进行了分析测定,研究了不同功能区PM10中PAHs的时空污染特性.研究结果表明:南京市PM10污染比较严重,其质量浓度变化范围在0.1157 mg·m-3~0.3913 mg·m-3之间;经分析PM10中16种优控多环芳烃(PAHs)发现,全年大厂地区的PAHs的质量浓度与山西路PAHs的质量浓度没有明显的高低之分;PAHs总质量浓度的空间变化不明显,时间变化也没有规律性;比较PM10与PAHs的月平均质量浓度变化趋势,两者之间的变化没有相关性,各自的质量浓度变化也没有规律性,分析其结果可能是由于PAHs的不稳定性造成的. 相似文献
983.
Winfried Schröder Cordula Englert Roland Pesch Harald G. Zechmeister Lotti Thöni Ivan Suchara Blanka Maňkovská Zvonka Jeran Harry Harmens Krystyna Grodzinska Renate Alber 《Environmental Sciences Europe》2008,20(2):120-132
Goal and Scope
Several studies show that the concentration of metals in mosses depends not only on metal deposition but also on factors such as moss species, canopy drip, precipitation, altitude, distance to the sea and the analytical technique used. However, contrasting results have been reported and the interpretation of the spatial variability of the metal accumulation in mosses remains difficult. In the presented study existing monitoring data from the European Heavy Metals in Mosses Surveys together with surface data on precipitation, elevation and land use are statistically analysed to assess factors other than emissions that have an influence on the metal accumulation in the mosses.Main Features
Inference statistics and Spearman correlation analysis were applied to examine the association of the metal accumulation and the distance of the monitoring sites to the sea as well as the altitude. Whether or not significant differences of the metal loads in the mosses exist at national borders was examined with help of the U-test after Mann and Whitney. In order to identify and rank the factors that are assumed to have an influence on the metal uptake of the mosses Classification and Regression Trees (CART) were applied.Results
No clear tendency could be derived from the results of the inference statistical calculations and the correlation analyses with regard to the distance of the monitoring site to the sea and the altitude. According to the results of the CART-analyses mainly the moss species, potential emission sources around the monitoring sites, canopy drip and precipitation have an effect on the metal bioaccumulation. Assuming that each participating country followed strictly the manual for sampling and sample preparation the results of the inference statistical calculations furthermore suggest that in most cases different techniques for digestion and analysis bias the measurements significantly.Discussion
For the first time a national monitoring data base consisting of measurement data and metadata as well as surface information on precipitation, land use and elevation was applied to examine influence factors on the metal bioaccumulation in mosses. The respective results mirror existing knowledge from other national studies to a large extend, although further analyses are necessary to affirm the findings. These analyses should include data from other national monitoring programmes and should additionally be carried out with other decision tree algorithms than CART.Conclusions
The local variability in the metal concentration in mosses can be uncovered in terms of predictors or underlying hidden causes by using CART. Ideally, such an approach should be applied across the whole of Europe. This will only be feasible if all participating countries provide additional information about site characteristics as currently is done in for example the German moss surveys.Recommendations
The UNECE Metals in Mosses Survey experimental protocol should be improved in order to reduce the observed influences, to enhance standardisation, and to strengthen the quality control. This implies the integration of sampling site describing metadata into the assessment. Furthermore, basis research is needed to test the hypothesis concerning moss species-specific accumulation of depositions.Perspectives
Provided that the presented results hold true in further analyses correction factors should be applied on the moss data in order to get the depicted spatial patterns and temporal trends of metal bioaccumulation unbiased. Such factors should be calculated for natural landscape units or ecoregions that are homogeneous with regard to climate, vegetation and altitude. 相似文献984.
黄土高原地区水资源承载力动态变化及灰色拓扑预测——以山西、陕西、宁夏、甘肃四省为例 总被引:1,自引:0,他引:1
研究水资源承载力对促进区域水资源的合理开发和保证经济可持续发展具有十分重要的作用.文章采用模糊综合评价方法,以水资源利用率、降水量、人均占有水量和生态用水量作为评价因素,首次对黄土高原水资源承载力进行了大尺度综合评价,并建立灰色拓扑预测模型对其动态变化进行预测,在此基础上提出了黄土高原水资源可持续利用对策.结果表明:黄土高原四省水资源承载力在1994-2004年间总体上呈缓慢上升趋势,水资源开发潜力呈微弱增大趋势;但值得注意的是,黄土高原水资源开发已有一定规模,其水环境仍十分脆弱,需要进一步作好节水和水资源的保护工作. 相似文献
985.
986.
987.
Ma Li Yu Zhuo Jiao Yan Lin Lin Zhong Wei Day Sara W. Postlethwaite Arnold Chen Hong Li Qiang Yin Heliang Wang Gang 《Environmental science and pollution research international》2021,28(28):37498-37505
Environmental Science and Pollution Research - The widespread epidemic of the COVID-19 in developed countries such as Europe and the USA has sparked many speculations. What factors caused the rapid... 相似文献
988.
989.
990.
Ao Ran Ma Liping Guo Zhiying Yang Jing Mu Liusen Yang Jie Wei Yi 《Environmental science and pollution research international》2021,28(6):6929-6940
Environmental Science and Pollution Research - Perovskite is an efficient and emerging catalyst for NO oxidation. In this study, BaMnO3 and BaCoO3 perovskite catalysts were synthesized by the... 相似文献