Role of Alternative Electron Acceptors (AEA) to control methane flux from waterlogged paddy fields: Case studies in the southern part of West Bengal, India

The rice fields, depleted of O₂, contain large amount of moisture and organic substrates to provide an ideal anaerobic environment for methanogenesis and are one of the principal anthropogenic sources of methane. In order to mitigate this emission Alternative Electron Acceptors (AEA) were altered in the soil. The experiments were carried out in four seasons at the site of Balarampur, near Baruipur, South 24 Parganas, West Bengal, namely September–December, 2005 (Cultivar: Sundari), February–May, 2006 (Cultivar: Sundari), September–December, 2006 and February–May, 2007 (Cultivar: Swarna-Pankaj). The seasonal average methane flux (Fe treated), for the cultivar type “Sundari” (season: September–December, 2005), is 4.41 t ha⁻¹, as compared to the value of 6.40 t ha⁻¹ for the untreated soil. Similarly for February–May, 2006, the seasonal average methane flux (Fe treated) is 5.52 t ha⁻¹, whereas the untreated flux is 5.69 t ha⁻¹. In the third and fourth seasons we had two treatments with Ammonium Thiosulphate and Ferric Hydroxide. The seasonal average methane flux (treatment: Ammonium Thiosulphate) is 4.35 t ha⁻¹ and 5.41 t ha⁻¹ respectively, whereas for the ferric hydroxide treated soil it is 4.35 t ha⁻¹ and 6.14 t ha⁻¹ respectively. The properties related to the nutrient quality of the harvested paddy seeds supplement these results.     

Time and cost characterisation of emissions from non-road diesel equipment for infrastructure projects

The construction process contributes to pollutant emissions, particularly through the operation of diesel- and gasoline-powered equipment. In the past decade, a series of investigations were undertaken to quantify these emissions for a variety of non-road construction equipment performing different activities and undergoing different duty cycles, and a model to estimate quantities of six types of pollutant was developed. This paper uses that model to estimate emissions for four street and utility construction projects which no one has done previously. We combined information from company records with standard construction industry manuals to estimate total emissions for the projects and to examine the pollution patterns and magnitudes. The street construction projects all had similar emission profiles with a large peak at the beginning and a steady output of emissions throughout the duration of the project. For example, in two of the projects studied, half of all CO₂ emissions were produced before the projects were 40% completed. Results showed that demolition and earthwork are the activities with the largest contribution. The equipment types with the largest contribution are backhoes, front-end loaders, bulldozers and trenchers. Trenchers, for example, produced 30% of all emissions on the projects on which they were used.     

Ammonia emissions from livestock industries in Canada: Feasibility of abatement strategies

An updated national ammonia (NH₃) emissions inventory was employed to study the relationship between NH₃ emissions and livestock industries in Canada. Emissions from animal agriculture accounted for 322 kilotonnes (kt) or 64% of Canadian NH₃ emissions in 2002. Cattle and swine accounted for the bulk of livestock emissions. The provinces of Alberta, Ontario, Quebec, and Saskatchewan accounted for 28.1%, 22.0%, 18.7%, and 13.1% of total livestock emissions, respectively. Emissions from Ontario and Quebec were attributed to the intensive production of dairy, hogs and poultry. Dairy cattle emissions per hectolitre of milk were higher in Ontario and Québec than in other provinces, while swine emissions per livestock unit were higher than either beef or dairy cattle. A review of the abatement literature indicated diet manipulation to improve N efficiency and land spreading methods are very effective techniques to lower NH₃ emissions. Future research is required to evaluate the feasibility of biofilters and feces/urine separation methods.     

Impact of demographic dynamics on CO_2 emissions in Sichuan,China

Global climate change is one of the major environmental issues faced by humans.Existing evidence indicates that the anthropogenic push for a rise in the atmospheric concentration of greenhouse gases(GHGs)(particularly CO_2)has been a primary cause for global warming.Aside from economic and teclinological factors,demographic dynamics(including human consumption in a broad demographic sense)has been a major driver for CO_2 emissions.In this paper,we performed both nonlinear regression analysis(based on the STIRPAT model)and gray correlation degree analysis(based on gray system theory)on the impact of demographic dynamics on CO_2 emissions.Our results reveal that CO_2 emissions are positively correlated with population size and GDP per capita and negatively correlated with energy intensity.We also show that gray correlation degree with CO_2 emissions for five variables(i.e.,household consumption,urbanization rate,household size,population aging rate,population size)varies substantially:household consumptionurbanization ratehousehold sizepopulation aging ratepopulation size,with household consumption being the highest,and population size the lowest.To mitigate the impact of demographic dynamics on CO_2 emissions,it is of vital significance to nurture people's awareness of sustainable consumption and to adhere to current population control policies.     

Experimental evaluation of emission factors of cement kilns burning hazardous wastes

Cement industry is an interesting way to eliminate combustible wastes. Thermal valorization is maximal, conditions of combustion are especially favorable to the destruction and the trapping of pollutants, and there are neither ultimate residues (slag) nor aqueous rejects. Moreover the properties of the cement are not modified. Nevertheless the increased use of substitution fuel may lead to deal with unusual amounts of heavy metals. Tests were realized on several rotary cement kilns with varying substitution ratios of fossil fuels by wastes. Mass balances were fitted over the whole plant, and emission factors were explained.     

电除尘器如何满足低排放的研究

针对电除尘器能否达到低排放的种种疑惑，分析了近年来实测达到50mg／m^3（标态、干烟气，下同）及以下更低排放的电除尘器实际应用项目性能测试报告并进行深入研究。通过对中国动力煤的梳理分析，得出电除尘器时中国大多数煤种适应性较好，电除尘器能达到低排放、且在节能模式应用下实际能耗最低的基本结论，同时提出了电除尘器满足国家新排放标准的主要对策。     

基于适应性管理的水污染控制体系构建——以太湖流域为例

从规划内容与目标、规划方法及方案实施和评估3方面对太湖近20年水污染物控制历程进行综合分析,认为太湖水污染物控制正处面源污染、生活污染及新型污染问题凸显且更难处理,更为广泛的利益相关者和科研队伍积极参与的转型期.这种变化将导致污染治理面临更难应付的动态性和复杂性,使得当前以环境容量为总量为指导通过自上而下分配排污量和削减量的控制方案面临极大挑战.结合太湖水污染现状,通过与现行治理方法在管理假设、适合对象、协调管理手段、管理目标、规划方法、公众参与程度以及规划的优劣势等方面的比较发现,适应性管理可以积极有效应对由于环境趋势和管理协调对象变化所带来的系统不确定性和复杂性,将是一个积极有效的补充方法.同时,本文基于适应性管理提出了太湖水环境污染物排放控制体系的构建框架,突出适应性管理平台、科学研究及公众与基层单位参与在污染物控制中的重要作用.     

稠油火驱开采技术节能减排效果分析

火驱作为稠油热采的有效接替技术,与注蒸汽开采技术相比,具有采收率高,能耗低,CO_2排放少的优势。文章从火驱驱油机理特征阐述了火驱与注蒸汽技术的不同点,从燃料开采能耗、热效率、注入剂资源、数据对比四个方面分析火驱比注蒸汽热效率高,无燃料开采成本,能耗是注蒸汽的50%;从CO_2气体排放方式和排放量对比可知,火驱能够减少温室气体排放,为油田节能减排、环保生产起到积极作用。     

河北省火电企业吨煤烟气排放量测定及污染动态预测

火电企业大气污染动态预测是大气污染控制的基础。采用现场实测法,对河北省36家火电企业101台机组锅炉进行现场监测,经统计分析给出不同装机容量吨煤烟气排放量,并与其他方法进行了比较,发现实测结果更为合理。在此基础上,建立吨煤SO₂、NO_x,烟尘排放量和烟气浓度的关系,为火电企业大气污染动态预测提供新的公式,对定量测定火电企业污染物排放提供参考。     

运用灰色GM（1,1）系统模型预测北京市污水排放量

北京市水资源开发利用已经超过了水资源承载能力范围,由此引发的水资源短缺问题日益严重.对污水的综合利用进行研究可以达到持续利用水资源的目的,解决水资源短缺问题.以北京市2005-2012年污水排放量资料为基础,运用灰色系统模型,对工业、生活污水排放量及总污水排放量进行了预测,分析北京市污水排放量走势及存在的问题,提出未来北京市污水综合利用的对策措施.