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Polychlorinated Biphenyls in Soil: Exposure and Health Risk 土壤中的多氯联苯:暴露和健康风险
Pub Date : 2018-07-01 DOI: 10.2478/alife-2018-0060
Mirela-Alina Sandu, A. Virsta
Abstract The paper presents an original research regarding the risk for human health in the area of Ploiesti city using SADA software - Spatial Analysis and Decision Assistance. Due to the high level of toxicity, international legislation provides the list of PCBs compounds to be monitored: PCB28, 52, 101, 118, 138, 153, 180. Sample collection was made in 22 points including public green gardens, residential areas, roadsides and industrial areas. The chemical analyses were conducted in the Laboratory of National Research and Development Institute for Soil Science, Agro-Chemistry and Environment from Bucharest, according to an own analytical method adapted after EPA. According to the Romanian standards, PCBs were elevated across industrial regions near urban and industrial sources. The concentrations of PCBs overcome the normal values in the most sampling points and the area presents a potential of risk for people. Local authorities should address the human health threats from urban and industrial soils in Ploiesti city.
摘要本文采用SADA软件空间分析与决策辅助系统(Spatial Analysis and Decision Assistance)对普洛耶斯蒂市地区的人类健康风险进行了原创性研究。由于高毒性,国际立法提供了需要监测的多氯联苯化合物清单:PCB28、52、101、118、138、153、180。样本采集地点包括公共绿地、住宅区、路边和工业区等22个地点。化学分析在布加勒斯特国家土壤科学、农业化学和环境研究与发展研究所实验室进行,根据EPA调整的自己的分析方法。根据罗马尼亚的标准,多氯联苯在城市和工业污染源附近的工业区都有升高。多氯联苯的浓度在大多数采样点超过正常值,该地区对人类存在潜在风险。地方当局应解决普洛耶斯蒂市城市和工业土壤对人类健康的威胁。
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引用次数: 0
Random- Mutagenesis in Photosynthetic Microorganisms Further Selected with Respect to Increased Lipid Content 进一步选择增加脂质含量的光合微生物随机诱变
Pub Date : 2018-07-01 DOI: 10.2478/alife-2018-0079
A. Ardelean, I. Ardelean, Oana Alina Sicuia-Boiu, P. Cornea
Abstract In the last decade there is an increased interest in selecting photosynthetic microorganisms with higher lipid content useful for biotechnological applications. In this paper we present our original results concerning: i) the selection of naturally occurring photosynthetic microorganisms with higher lipid content; ii) the use of these isolates as biological material subject of randomly induced mutagenesis; iii) selection by iodine vapour method of clones with decreased polysaccharides content and expected higher lipid content) as well as iv) genetic analysis of most promising strains in order to check the if they are true mutants or not. The results thus obtained argue the importance of the selection of naturally occurring photosynthetic microorganisms with higher lipid content as well as the use of random mutagenesis as a valuable tool to improve the genetic diversity of photosynthetic microorganisms in order to increase their ability to synthesize lipids for further biodiesel production and/or omega 3 or 6 production.
在过去的十年中,人们对选择具有较高脂质含量的光合微生物越来越感兴趣,这些微生物可用于生物技术应用。在本文中,我们提出了我们关于以下方面的原始结果:i)选择天然存在的具有较高脂质含量的光合微生物;Ii)将这些分离物用作随机诱变的生物材料;Iii)用碘蒸气法筛选多糖含量降低而脂质含量较高的克隆)以及iv)对最有希望的菌株进行遗传分析,以检查它们是否是真正的突变体。由此获得的结果表明,选择具有较高脂质含量的天然光合微生物的重要性,以及使用随机诱变作为改善光合微生物遗传多样性的有价值的工具,以提高其合成脂质的能力,以进一步生产生物柴油和/或生产欧米伽3或6。
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引用次数: 1
Research into the Utilization of Aerial Imaging for Evaluating the State of Vegetation 航空成像技术在植被状态评价中的应用研究
Pub Date : 2018-07-01 DOI: 10.2478/alife-2018-0061
A. Trif, M. Gidea, Bogdan Erghelegiu, Alexandru Boască, S. Cîmpeanu
Abstract The paper aims to evaluate the potential of using aerial images captured from UAV’s, when compared with satellite images, for the purpose of monitoring rapeseed cultures. For this, a comparison is presented; two modern methods of gathering and processing images with the purpose of estimating the rapeseed culture yields, in contrast with the classic method. For this purpose, we use professional equipment to gather images, GPS RTK to provide advanced precision, as well as software such as Precision Flight to plan the flight routes, Precision Mapper to construct the orthophoto, custom made Python programs and LeoWorks to process and classify the resulting images.
摘要:本文旨在评估利用无人机捕获的航空图像与卫星图像进行油菜籽培养监测的潜力。为此,提出了一个比较;两种现代采集和处理图像的方法,目的是估计油菜籽培养产量,与经典方法的对比。为此,我们使用专业的设备采集图像,GPS RTK提供先进的精度,以及precision Flight等软件来规划飞行路线,precision Mapper构建正射影像,定制Python程序和LeoWorks来处理和分类得到的图像。
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引用次数: 0
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“Agriculture for Life, Life for Agriculture” Conference Proceedings
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