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171.
填埋场沼气发电的温室气体减排效益分析 总被引:2,自引:0,他引:2
填埋场沼气是垃圾卫生填埋场产生的可利用资源.以深圳下坪垃圾填埋场为例,定量分析垃圾填埋气体发电的温室气体减排效益.结果表明,填埋场沼气发电具有很好的经济效益和环境效益,可作为与发达国家进行CDM(清洁发展机制)项目合作的优先技术领域. 相似文献
172.
Environment, Development and Sustainability - The resource and environmental carrying capacity (RECC) is an important foundation and support for a city or region, and determines the direction of... 相似文献
173.
Ma Dongdong He Feng Li Guifang Deng Guangjun 《Environment, Development and Sustainability》2021,23(11):16343-16357
Environment, Development and Sustainability - This study attempts to introduce haze pollution into the environmental efficiency evaluation framework and measures PM2.5 environmental efficiency in... 相似文献
174.
随着国民经济的持续发展,建设项目开发过程中可能造成土壤本身或与之相关的环境要素之间在物质、能量转移循环过程中受到不同程度的影响。以《环境影响评价技术导则土壤环境》(HJ 964-2018)为依据,对污染型土壤环境进行环境影响评价,为建设项目土壤环境保护提供科学依据。 相似文献
175.
随着社会经济的飞速发展,人民生活对水资源的需求量日益增加,水资源开发已然成为备受社会各界关注的一项话题。而若是未能重视资源开发合理性与适宜性,必然会造成一定的环境污染。本文阐述了我国水资源开发与利用现状,分析了地下水开发引起的环境问题,并探究了新形势下治理地下水开发环境问题的有效对策。 相似文献
176.
通过对目前已出台油气田含油污泥处理相关标准的解析,针对标准之间存在着适用范围不一致、检测项目名称及限值不一致、检测方法不统一以及计算基础不统一等,造成油气田环保工作者和管理者认识上的混乱,对含油污泥处理技术的选用和治理市场的管理带来诸多问题。为加快促进油气田含油污泥处理减量化、资源化、无害化技术的发展,建议尽快出台有针对性、普适性强、统一的油气田含油污泥污染控制标准,确保含油污泥处理既科学合理,又经济可行;同时制定针对性强的含油污泥污染物检测方法,检测方法统一、计算公式一致,保证结果真实可靠,具有可比性。 相似文献
177.
Zihao Li Yang Geng Lei Ma Xiaoyin Chen Junhua Li Huazhen Chang Johannes W. Schwank 《Frontiers of Environmental Science & Engineering》2020,14(4):65
178.
Shu Heping Ma Jinzhu Guo Jiabing Qi Shi Guo Zizheng Zhang Peng 《Environmental science and pollution research international》2020,27(30):37455-37467
Environmental Science and Pollution Research - Slope failure is a one of major process that causes severe landform variation and environment variation, and slope failure has become a major hidden... 相似文献
179.
Małgorzata Dżugan Monika Wesołowska Grzegorz Zaguła Mateusz Kaczmarski Maria Czernicka Czesław Puchalski 《Environmental monitoring and assessment》2018,190(2):101
The aim of the study was to investigate the transfer of toxic metals from honeybee workers (Apis mellifera L.) to bee honey in relation to the ecological state of the environment. The materials of the study consisted of samples of honeybee bodies and varietal honeys taken from the same apiary located in three areas: R1—urbanized (16), R2—ecologically clean (16) and R3—industrialized (15) of south-eastern Poland. The contents of 14 elements in all tested samples, including toxic metals (Cd, Pb, Hg, Al, Ni, Tl) as well as bioelements (K, Mg, Ca, Mn, Fe, Zn, Cu, Se), were analysed by the ICP-OES method with prior microwave mineralization. The concentrations of the majority of the studied elements, excluding aluminum and lead, were significantly higher in bee bodies than in honey samples (P?<?0.05). The pollution of bee bodies by toxic metals was dependent on the environmental cleanliness, and the most pollution was observed in the industrialized area. The bee body was the most effective barrier for Cd and Tl transfer to the honey, while the level of Ni was similar in both tested materials. The Al concentration was significantly higher in honey than bee bodies (14.81?±?24.69 and 6.51?±?5.83 mg kg?1, respectively), which suggests the possibility of secondary contamination of honey. The greatest sensitivity to heavy metal pollution was observed in honeydew honey compared to nectar honeys (P?<?0.05). It was proved for the first time that bees work as biofilters for toxic metals and prevent honey contamination. 相似文献
180.
Beilei Lei Yimeng Ma Jiazhong Li Huanxiang Liu Xiaojun Yao Paola Gramatica 《Atmospheric environment (Oxford, England : 1994)》2010,44(25):2954-2960
Accurate quantitative structure–property relationship (QSPR) models based on a large data set containing a total of 3483 organic compounds were developed to predict chemicals’ adsorption capability onto activated carbon in gas phrase. Both global multiple linear regression (MLR) method and local lazy regression (LLR) method were used to develop QSPR models. The results proved that LLR has prediction accuracy 10% higher than that of MLR model. By applying LLR method we can predict the test set (787 compounds) with Q2ext of 0.900 and root mean square error (RMSE) of 0.129. The accurate model based on this large data set could be useful to predict adsorption property of new compounds since such model covers a highly diverse structural space. 相似文献