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Suppression of Methane Gas Emissions and Analysis of the Electrode Microbial Community in a Sediment-Based Bio-Electrochemical System
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作者 Yoshiyuki Ueno Yoji Kitajima 《Advances in Microbiology》 2014年第5期252-266,共15页
The effects of bioelectrochemical systems (BESs) for the suppression of methane gas emissions from sediment were examined using a laboratory-scale reactor system. Methane gas emissions from acetate were suppressed by ... The effects of bioelectrochemical systems (BESs) for the suppression of methane gas emissions from sediment were examined using a laboratory-scale reactor system. Methane gas emissions from acetate were suppressed by approximately 36% from control based on the installation of a BES in which carbon-graphite electrodes were buried in sediment and arbitrarily set at certain oxidative potentials (+300 mV vs Ag/AgCl) using a potentiostat. Meanwhile, methane gas emissions increased in the BES reactor where the electrode potential was set at -200 mV. Results obtained from pyrotag sequencing analysis of the microbial community on the surface of the buried electrodes targeting 16S rRNA genes demonstrated that the genusGeobacterhad drastically propagated in a sample from the reactor where the electrodes were buried. Quantitative analysis of 16S rRNA genes of archaea also revealed that the archaeal population had decreased to approximately 1/6 of its original level on the electrode of the BES set at +300 mV. This implied that the oxidation-reduction potential (ORP) in the sediment was raised to the inhibition level for methanogenesis in the vicinity of the buried electrode. Analysis of electron flux in the experiment revealed that electrons intrinsically used for methanogenesis were recovered via current generation in the sediment where a potential of +300 mV was set for the electrode, although most electrons donated from acetate were captured by oxygen respiration and other electron-accepting reactions. These results imply that BES technology is suitable for use as a tool for controlling re-dox-dependent reactions in natural environments, and that it also brought about changes in the microbial population structure and methanogenic activity in sediment. 展开更多
关键词 MICROBIAL Fuel Cell Bio-Electrochemical System METHANOGENESIS ELECTRICIGENS green house gas
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“双碳”目标约束下企业CO_(2)协同减排路径研究 被引量:1
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作者 宋文健 赵夏斐 索海翔 《工业加热》 CAS 2023年第10期50-54,共5页
由于企业CO_(2)的大量排放,对环境造成了不可逆转的破坏,为此,在“双碳”目标的约束下,针对企业提出一种CO_(2)协同减排路径研究方案。采用核算指南和温室气体核算体系,确定制浆造纸联合工厂的核算边界,核算其CO_(2)排放量;通过分析企业... 由于企业CO_(2)的大量排放,对环境造成了不可逆转的破坏,为此,在“双碳”目标的约束下,针对企业提出一种CO_(2)协同减排路径研究方案。采用核算指南和温室气体核算体系,确定制浆造纸联合工厂的核算边界,核算其CO_(2)排放量;通过分析企业CO_(2)排放量的影响因素,确定其与能源消耗间的关系,能耗增加势必是会引起CO_(2)排放量的增长;给出三点CO_(2)协同减排路径方案,从技术水平、管理水平和绿色创新能力三方面共同实现企业CO_(2)的减污降排。通过展开实验测试,结果表明,应用所提方法后,企业的能源利用率、化石燃料燃烧率均得到显著提升,CO_(2)排放量得以控制,企业每年支付能源的费用有所减少。 展开更多
关键词 “双碳”目标约束 CO_(2)协同减排 能源消耗 核算指南 温室气体核算体系
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服装企业组织碳足迹评价分析 被引量:2
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作者 郭燕 《毛纺科技》 CAS 北大核心 2016年第11期78-82,共5页
以全球知名牛仔裤品牌商李维斯(Levi's)为例,纵观国际服装企业如何进行组织碳足迹评价。李维斯公司自2006年开始进行温室气体排放数据收集和核算,通过对其美洲区机构、全球机构、各类运营环节、及企业各类能耗的组织碳排放量核查和... 以全球知名牛仔裤品牌商李维斯(Levi's)为例,纵观国际服装企业如何进行组织碳足迹评价。李维斯公司自2006年开始进行温室气体排放数据收集和核算,通过对其美洲区机构、全球机构、各类运营环节、及企业各类能耗的组织碳排放量核查和碳足迹评价,了解企业经营活动的主要碳排放源和能耗类型,以采取有效的碳减排措施。文章对李维斯企业组织碳足迹评价分析,为我国服装企业开展相关工作提供参考。 展开更多
关键词 温室气体核查 组织碳足迹 李维斯
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我国企业环境成本研究述评 被引量:12
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作者 张咏梅 杜京芳 《南京审计学院学报》 2013年第6期81-86,共6页
生态环境的恶化引起了政府和社会公众对环境问题的高度关注,环境成本成为学术界研究的热点问题之一。在我国,对于环境成本的研究基本经历了起步、发展探索和繁荣三个阶段,研究的主要内容包括环境成本内部化、环境成本的界定和分类、环... 生态环境的恶化引起了政府和社会公众对环境问题的高度关注,环境成本成为学术界研究的热点问题之一。在我国,对于环境成本的研究基本经历了起步、发展探索和繁荣三个阶段,研究的主要内容包括环境成本内部化、环境成本的界定和分类、环境成本核算和控制、环境成本信息化披露、环境成本管理等方面。已有的关于环境成本的研究虽然取得了丰富的成果,但在环境成本分摊机制、环境成本预测、环境成本管理效果评价等方面仍存在着较大的研究空间。 展开更多
关键词 环境成本内部化 环境成本核算 环境成本控制 信息披露制度 环境保护 温室效应
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城市轨道交通运营企业温室气体核算方法研究 被引量:3
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作者 袁若岑 宋杰 温志伟 《城市轨道交通研究》 北大核心 2016年第11期94-98,共5页
通过分析城市轨道交通运营企业能源消费结构,确定企业温室气体排放种类,掌握温室气体排放结构,划定温室气体核算的组织边界与运营边界。通过对比研究国内外通用温室气体核算标准,结合城市轨道交通运营企业自身特点,提出轨道交通运营企... 通过分析城市轨道交通运营企业能源消费结构,确定企业温室气体排放种类,掌握温室气体排放结构,划定温室气体核算的组织边界与运营边界。通过对比研究国内外通用温室气体核算标准,结合城市轨道交通运营企业自身特点,提出轨道交通运营企业温室气体核算步骤与核算方法。 展开更多
关键词 城市轨道交通 能源消耗 温室气体 核算
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Estimation of Above Ground Biomass in Forests Using Alos Palsar Data in Kericho and Aberdare Ranges
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作者 Eunice Wamuyu Maina Patroba Achola Odera Mwangi James Kinyanjui 《Open Journal of Forestry》 2017年第2期79-96,共18页
Above Ground Biomass is one of the six pools identified in the inventory of forest resources and estimation of greenhouse gas emissions and sinks from the forestry sector. The pool varies by management practices in di... Above Ground Biomass is one of the six pools identified in the inventory of forest resources and estimation of greenhouse gas emissions and sinks from the forestry sector. The pool varies by management practices in different agro-ecological or agro-climatic zones in forests. The quantification of above ground biomass (AGB) hence carbon sequestration in forests has been very difficult due to the immense costs required. This research was done to estimate AGB using ALOS PALSAR L band data (HH, HV polarisation) acquired in 2009 in relation with ground measurements data in Kericho and Aberdares ranges in Kenya. Tree data information was obtained from ground measurement of DBH and tree heights in 100 circular plots of 15 m radius, by use of random sampling technique. ALOS PALSAR image is advantageous for its active microwave sensor using L-band frequency to achieve cloud free imageries, and the ability of long wavelength cross-polarization to estimate AGB accurately for tropical forests. The variations result between Natural and plantation forest for measured and estimated biomass in Kericho HV band regression value was 0.880 and HH band was 0.520. In Aberdare ranges HV regression value of 0.708 and HH band regression value of 0.511 for measured and estimated biomass respectively. The variations can be explained by the influence of different management regimes induced human disturbances, forest stand age, density, species composition, and trees diameter distribution. However, further research is required to investigate how strong these factors affect relationship between AGB and Alos Palsar backscatters. 展开更多
关键词 Above Ground Biomass ESTIMATION green house gas Carbon Credits ALOS PALSAR Backscatter CROSS-POLARIZATION Regression Analysis
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