Measuring and modeling nitrous oxide and methane emissions from beef cattle feedlot manure management: First assessments under Brazilian condition

Intensive beef production has increased during recent decades in Brazil and may substantially increase both methane (CH₄) and nitrous oxide (N₂O) emissions from manure management. However, the quantification of these gases and methods for extrapolating them are scarce in Brazil. A case study examines CH₄ and N₂O emissions from one typical beef cattle feedlot manure management continuum in Brazil and the applicability of Manure-DNDC model in predicting these emissions for better understand fluxes and mitigation options. Measurements track CH₄ and N₂O emissions from manure excreted in one housing floor holding 21 animals for 78 days, stockpiled for 73 days and field spread (360 kg N ha^?1). We found total emissions (CH₄ + N₂O) of 0.19 ± 0.10 kg CO₂eq per kg of animal live weight gain; mostly coming from field application (73%), followed housing (25%) and storage (2%). The Manure-DNDC simulations were generally within the statistical deviation ranges of the field data, differing in ?28% in total emission. Large uncertainties in measurements showed the model was more accurate estimating the magnitude of gases emissions than replicate results at daily basis. Modeled results suggested increasing the frequency of manure removal from housing, splitting the field application and adopting no-tillage system is the most efficient management for reducing emissions from manure (up to about 75%). Since this work consists in the first assessment under Brazilian conditions, more and continuous field measurements are required for decreasing uncertainties and improving model validations. However, this paper reports promising results and scientific perceptions for the design of further integrated work on farm-scale measurements and Manure-DNDC model development for Brazilian conditions.     

城市污水污泥处置方式的温室气体排放比较分析

针对我国现在主流的城市污水污泥处置方法:填埋,焚烧,堆肥。用IPCC中推荐的方法和缺省值,对处置过程中产生的温室气体的直接排放、间接排放和替代排放做了计算和分析。填埋过程计算排放的温室气体有CH4,焚烧过程计算排放的有温室气体CO2和N2O,堆肥过程计算的排放的有温室气体CO2和N2O,最终比较的结果都折算成CO2的排放。结果表明,污泥填埋、焚烧、堆肥所产生的CO2的净排放量分别为695.847 kg CO2/t、443.643 kg CO2/t、511.817 kgCO2/t。由于考虑了堆肥以后的有机肥利用,从减排以及污泥资源化的角度分析,得出堆肥是相对好的污泥处置方式。     

青岛市餐厨垃圾与菜市场垃圾混合高温厌氧消化研究

在中试规模下,研究青岛市餐厨垃圾与菜市场垃圾混合(质量比1∶1)高温厌氧消化实验,通过监测厌氧消化过程中产气量、气体组成等产气情况和消化液中pH值、SCOD、NH3-H、VFAs含量和组分等化学指标变化,确定混合厌氧消化的最大有机负荷,并分析混合高温厌氧消化技术的可行性,结果表明,(1)青岛市餐厨垃圾与菜市场垃圾混合高温厌氧消化产甲烷具有技术可行性;(2)混合厌氧消化的最大有机负荷可达4.069 kg VS/(m3.d);(3)当系统最大有机负荷时,每天每千克VS最高可产生甲烷量0.346 m3;(4)混合厌氧消化可削减氨氮对餐厨垃圾单独厌氧消化产沼气的影响。     

利用农业土壤固定有机碳——缓解全球变暖与提高土壤生产力

大气CO     

菜园土壤铜吸附--解吸特性的研究

研究了菜园土壤铜的吸附—解吸特性。结果表明 ,3种菜园土壤吸附 Cu2 的量均随平衡液中Cu2 浓度的增加而增大 ,可用 L angmuir方程和 Freundlich方程来描述。由 Langmuir方程求得的菜园土壤对 Cu2 的最大吸附量和最大缓冲容量的大小顺序为 :黄松土 >江涂土 >粉泥土 ,菜园土壤对 Cu2 的解吸量和解吸率均随其吸附量的增加而增加 ,吸附量与解吸量之间呈显著或极显著线性正相关。     

天然草地利用方式改变对土壤排放CO2 和吸收CH4的影响

1997年～ 1998年在内蒙古达拉特旗中国农业科学院草原研究所草原生态试验站对天然草地、天然草地转变为人工草地、玉米和土豆地后 ,土壤 CO2 排放和 CH4 吸收通量进行了测定。天然草地、人工草地和旱地农田均为大气中甲烷的吸收汇 ,天然草地转变为农田后 ,增强了土壤的 CO2 排放量 ,减少了土壤对大气中甲烷的吸收。天然草地和玉米地的 CO2 排放通量与 5cm处土壤温度呈线性相关 ,土壤对甲烷的吸收率与土壤含水量呈线性负相关 ,与土壤温度没有相关关系     

A novel objective function for optimal DG allocation in distribution systems using meta-heuristic algorithms

Meta heuristic algorithms have been introduced as a powerful method to solve the nonlinear optimization problems. These algorithms have been employed in many complex engineering problems due to their high capability in finding the solutions and reaching the optimal results within a short period of time. Optimization of distributed generation units in distribution systems, which have profoundly impacted on the system losses and voltage profile, is one of these nonlinear problems. In this study, a novel objective function was proposed for optimization procedure by meta-heuristic algorithms. The related objective function consists of the total cost of distributed generation units, cost of the purchased natural gas, cost of distribution system power losses, and penalty for greenhouse gas emissions. The electrical, cooling, and heating loads were considered in this study. In the distribution system, the waste and fuel cell were used to supply the required heating and cooling loads. The meta-heuristic algorithms including Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Imperialist Competitive Algorithm (ICA) were employed to find the optimal location and size of distributed generation units in a distribution system. A detailed performance analysis was done on 13 bus radial distribution system. The performances of three algorithms were compared with each other and results showed that the PSO was the fastest; and had the best solution and optimum results. Furthermore, the PSO reached the optimum solution in a fewer number of iterations than the GA and ICA algorithms.     

A2O工艺中N2O的产生与逸散特征

目前污水处理过程中产生温室气体的问题已经引起普遍关注。本文通过实验室小试,研究了不同污水水质条件下A2O工艺中N2O的产生特征,以及氧化亚氮还原酶编码基因nosZ含量对N2O产生量的影响。结果表明,在A2O工艺中的各单元均有N2O产生,其中厌氧池产生量最大,约占总产生量的32％～85％;A2O工艺产生的N2O主要通过逸散进入大气,少量随二沉池出水进入到环境中。N2O的产生量与污泥中nosZ的含量成负相关,而碳源和DO对含有nosZ基因的反硝化细菌有明显的影响,低DO环境和充足的碳源能够极大的促进其含量的提高,从而显著减少N2O的产生量。     

温室气体自愿性减排市场现状及其在中国的前景

自愿性减排（Voluntary emission reduction,VER）是指完全出于自愿的、相关法律没有要求或者超过法律要求的温室气体或者大气污染物的减排行为,是近年来最重要的温室气体减排的新兴形式之一。本文概述了自愿性减排与自愿性碳市场（Voluntary carbon markets）的特征,从目前国际上自愿碳市场的交易变化、采用标准、登记与交易等方面总结了自愿性碳交易演变趋势,探讨了我国自愿碳市场发展中存在的问题和前景,并提出了相应建议。     

东莞市蔬菜基地土壤中四环素类抗生素的含量与分布

利用高效液相色谱-串联质谱(LC-MS/MS)分析方法,探讨了东莞市18个区镇24个代表性蔬菜基地土壤中4种四环素类(四环素、土霉素、金霉素、强力霉素)抗生素的含量与分布特征.结果表明,4种抗生素总含量为0~138.86μg/kg,低于10μg/kg占总样本数59%,平均为20.85μg/kg.各化合物检出率为59%~89%,含量为0~103.40μg/kg,绝大多数在10μg/kg以下,以土霉素(平均含量8.95μg/kg)为主,其次是强力霉素(平均含量5.45μg/kg)和金霉素(平均含量5.13μg/kg).不同基地土壤中四环素类化合物的组成与含量特征差异较大,主要有以土霉素为主、以金霉素为主、以强力霉素为主和以土霉素+强力霉素为主4种组成模式.同一基地种植不同蔬菜土壤中四环素类化合物的组成与含量特征差异较小.