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521.
苏黎世——瑞士最大的城市,是瑞士经济、文化和金融的中心。苏黎世靠山临水,自然环境十分优美,难能可贵的是,城市的发展和进步并不是以历史遗迹的消失为代价。古朴的教堂、历史悠久的老市场、素净的碎石路面随处可见。更令世人赞叹的是,这样一个保存完整的古城,却拥有一套快捷、安全和价格合理的公共交通系统,苏黎世与巴西的库里提巴和美国的波特兰并称为全球公共交通样板城市。在我们正面临城市化带来的诸如环境污染、交通堵塞等难题时,苏黎世城市发展的实践,无疑会给我们以启发。 相似文献
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IntroductionBeingatypicalpolycyclicaromatichydrocarbons(PAHs) ,benzo[a]pyrene(BaP)deservesseriousstudybecausePAHsarenowrecognizedasmajorenvironmentalpollutants .ExposuretoPaHsisvirtuallyunavoidableandisstronglysuspendedofbeingacausativefactorincertaintumo… 相似文献
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通过构建RAM-SFA-RAM三阶段工业绿色全要素水资源效率测度模型,对其不同层面的效率值进行多维测度与比较分析,并利用空间Tobit模型对工业绿色全要素水资源效率的驱动机制进行实证检验.效率测度结果表明,环境因素与统计噪音是效率值计算中不可忽视的重要影响因素;全国样本的效率值在2000~2017年期间总体变化趋势是以持续上升为主,但距离理想发展状态还存在较大差距,具体阶段上可划分为“稳增期”、“振落期”和“提速期”;区域层面的检验中,东部效率具有较为显著的领先优势,而中部和东北部效率差异性相对较小,其变化曲线存在明显的“交互性”现象,西部则整体效率偏低;主要经济带的检验中,京津冀地区的工业绿色全要素水资源效率整体上要高于泛珠三角和泛长三角地区.驱动机制检验表明,基于全国样本维度的水资源禀赋、企业技术创新、用水结构和环境规制对工业绿色全要素水资源效率具有正向促进作用,而产业结构、城镇化率表现为负向抑制效应;在区域样本检验中,各影响要素在不同区域之间所呈现出的作用效果存在一定差异性,但产业结构调整、城镇化水平等应引起重视,不同区域需要依据其实际特点采取针对性的改进措施. 相似文献
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本文从环境与人口、经济和科技之间的相依关系出发,探讨了诸因素相互关联的内在协同机理,简析了IPAT模型的建构与应用。嗣后,利用IPAT模型解析了中国近15年来人口、经济和科技发展对环境影响的贡献差异;指出经济规模的迅速扩展和落后技术支持下的传统生产方式是加剧环境恶化的元凶,且技术转型期的负面影响也是不可忽视的重要因素;进而提出了中国未来环境与人口、经济和科技协同演化的对策措施。 相似文献
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Black carbon (BC) in surface sediments from Henan section of Yellow River and Huaihe River, China, was determined. Average content of BC in Huaihe River was 0.33%, higher than that in Yellow River (n?=?23) with mean value of 0.15%. Distribution patterns of BC in Yellow River and Huaihe River were similar, namely that tributaries had higher BC content than main stream. In addition, BC content in the mainstream of Yellow River and Huaihe River decreased with altitude. The BC content presented a significant positive correlation with clay (r?=?0.672; p?<?0.01) content in Yellow River, while neither did in Huaihe River. The ratio of BC/TOC ranged from 1.8–57.4% (median 29.6%), evidencing pyrogenic fossil fuel source of BC in Yellow River. Relatively low values of BC/TOC in Huaihe River (5.3%–28.8%, median 7.5%,) reflected that the origin of BC is from burning of biomass. In addition, Pearson rank correlation analysis showed that BC was in strong correlation with lighter PAH in Yellow River, while BC was in significant correlation with heavier PAH in Huaihe River. The ratio of BC/TOC indicated that BC in Yellow River mainly came from fossil fuel combustion, while BC in Huaihe River was primarily from biomass burning. 相似文献
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Comparison of a rhizosphere-based method with other one-step extraction methods for assessing the bioavailability of soil metals to wheat 总被引:3,自引:0,他引:3
There is no method recognized as a universal approach for evaluation of bioavailability of heavy metals in soil. Based on the simulation of the rhizosphere soil conditions and integration of the combined effects of root-soil interactions as a whole, a rhizosphere-based method has been proposed. Wet fresh rhizosphere soil was extracted by low-molecular-weight organic acids (LMWOAs) to fractionate metal fractions of soil pools, which were then correlated with the metal contents of wheat roots and shoots. The rhizosphere-based method was compared with other one-step extraction methods using DTPA, EDTA, CaCl2, and NaNO3 as extractants and the first step of the Community Bureau of Reference (BCR) method. Simple correlation and stepwise multiple regression analysis were used for the comparison. Simple correlation indicated that the extractable Cu, Zn, Cr, and Cd of soils by the rhizosphere-based method were significantly correlated with the metal contents of wheat roots. For DTPA, BCR1 and EDTA methods there was a relatively poor correlation between the extractable Cu, Zn and Cd of soil and metal contents of wheat roots. Stepwise multiple regression analysis revealed that the equation of the rhizosphere-based method was the simplest one, and no soil properties variables needed to be added. In contrast, the equations of other one-step extraction methods were more complicated, and soil properties variables needed to be entered. The most distinct feature of the rhizosphere-based method was that the recommended method was suitable for acidic, neutral and near alkaline soils. However, the DTPA and EDTA extraction methods were suitable for calcareous soils only-or-only for acidic soils. The CaCl2, and NaNO3 extraction methods were only suitable for exchangeable metals. In short, the rhizosphere-based method was the most robust approach for evaluation of bioavailability of heavy metals in soils to wheat. 相似文献
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