Uncertainty in Agricultural CH<Subscript>4</Subscript> AND N<Subscript>2</Subscript>O Emissions from Finland – Possibilities to Increase Accuracy in Emission Estimates

According to the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol under it, industrial countries have to estimate their greenhouse gas emissions annually, and assess the uncertainties in these estimates. In Finland, agricultural methane (CH₄) and nitrous oxide (N_2O) emissions represent 7% of anthropogenic greenhouse gas emissions, and globally the share is much higher. Agriculture is one of the most uncertain emission categories (representing over 20% of greenhouse gas inventory uncertainty in Finland), due to both high natural variability of the emission sources and poor knowledge of the emission-generating processes. In this paper, we present an uncertainty estimate of agricultural CH₄ and N₂O emissions from Finland in 2002. Uncertainties were estimated based on measurement data, literature and expert judgement, and total uncertainty in agriculture was calculated using Monte Carlo simulation. According to the calculations, agricultural CH₄ and N₂O emissions from Finland were 3.7 to 7.8 Tg carbon dioxide (CO₂) equivalents, 5.4 Tg being the mean value.Estimates of CH₄ emissions are more reliable than those of N₂O. N₂O from agricultural soils was the most uncertain emission category, and the uncertainty was not reduced by using available national measurement data of N₂O fluxes. Sensitivity study revealed that the uncertainty in total agricultural inventory could be 7% points lower, if more accurate emission estimation methods were used, including 1) improved data collection in area estimates of organic soils, 2) climate-specific methods for N₂O from agricultural soils as already presented in literature, and 3) more detailed CH₄ estimation methods for enteric fermentation which can be achieved by investigating national circumstances and digestible systems of animals in more detail.     

覆草旱作稻田CH4和N2O的排放

通过田间试验比较水稻覆草旱作常规施氮肥、覆草旱作推荐施氮肥和常规水作水稻全生育期内稻田土壤微量气体的排放.结果表明,旱作稻田N2O排放总量比水作稻田高1.5~3.7倍,在旱作覆草处理中常规施肥N2O排放较推荐施肥高2.4倍.水作稻田CH4排放总量比旱作稻田多5~6倍,而两旱作处理间差异不显著.水作稻田CH4的排放与水稻生育期关系密切,以分蘖盛期的2.2mg/(m2h)为最大;旱作稻田CH4的排放与施氮关系不明显.施氮是影响旱作稻田N2O排放的关键因素,每次施氮后,旱作稻田均会出现剧烈的排放高峰.水稻不同栽培方式的增温潜势的高低顺序为:覆草旱作常规施氮肥>常规水作>覆草旱作推荐施氮肥.     

Optimization, equilibrium, adsorption behavior and role of surface functional groups on graphene oxide-based nanocomposite towards diclofenac drug

Aquatic contamination of diclofenac (DCF), an emergent non-steroidal anti-inflammatory drug (NSAIDs), can result in adverse effects to many ecosystems through biomagnification. Hence, introducing effective remediation techniques to sequester the pharmaceutical wastes is highly fundamental to prevent their accumulation in the environment. Generally, adsorption has been presented as a green and efficient approach. Herein, we report the characterization and application of the novel magnetic nanocomposite ([email protected]₂O₄) derived from cobalt-based ferrite (CoFe₂O₄) and graphene oxide (GO) for DCF adsorption. For the optimization procedure, the response surface methodology (RSM) was adopted to investigate the impacts of DCF concentration (1.6–18.4 mg/L), DCF dosage (0.08–0.92 g/L), and solution pH (2.6–9.4) to find the optimum conditions for DCF removal, at 10.5 mg/L, 0.74 g/L, and pH 4, respectively. For the adsorption experiments, the kinetic, isotherm, thermodynamic, and intraparticle diffusion models were systematically studied. Moreover, we have elucidated the role of functional groups on the surface of [email protected]₂O₄ in enhancing the adsorption of DCF drug. With good removal efficiency (up to 86.1%), high maximum adsorption capacity (32.4 mg/g), [email protected]₂O₄ can be a potential candidate to eliminate DCF drug from water.     

N/Ce doped graphene supported Pt nanoparticles for the catalytic oxidation of formaldehyde at room temperature

Pt catalysts with nitrogen-doped graphene oxide (GO) as support and CeO₂ as promoter were prepared by impregnation method,and their catalytic oxidation of formaldehyde (HCHO) at room temperature was tested.The Pt-CeO₂/N-rGO (reduced GO) with a mass fraction of 0.7% Pt and 0.8%CeO₂ exhibited an excellent catalytic performance with the 100% conversion of HCHO at room temperature.Physicochemical characterization demonstrated that nitrogendoping greatly increased the...     

Investigation of protein-styrene oxide adducts as a molecularbiomarker of human exposed to styrene

ＩｎｔｒｏｄｕｃｔｉｏｎＢｉｏｍａｒｋｅｒ ,ｄｅｆｉｎｅｄａｓｃｅｌｌｕｌａｒ,ｂｉｏｃｈｅｍｉｃａｌｏｒｍｏｌｅｃｕｌａｒａｌｔｅｒａｔｉｏｎｓｔｈａｔａｒｅｍｅａｓｕｒａｂｌｅｉｎｂｉｏｌｏｇｉｃａｌｍｅｄｉａ ,ｓｕｃｈａｓｈｕｍａｎｔｉｓｓｕｅｓ ,ｃｅｌｌｓ,ｏｒｆｌｕｉｄｓ ,ｈａｖｅｂｅｅｎｕｓｅｄｂｙｇｅｎｅｒａｔｉｏｎｓｏｆｅｐｉｄｅｍｉｏｌｏｇｉｓｔｓｉｎｔｈｅｉｒｒｅｓｅａｒｃｈ .Ｍｏｌｅｃｕｌａｒｂｉｏｌｏｇｙａｎｄｌａｂｏｒａｔｏｒｙｔｅｃｈｎｏｌｏｇｙｈａｖｅｓｈｏｗｎａｎｅ…     

An estimate of the conversion rates of SO2 to SO2-4 and NO2 to HNO3+ NO3- for the evaluation air pollution in Beijing

The conversion rates of SO₂ to SO^2-₄ and NO₂ to HNO₃₊NO₃- are estimated from the field-data obtained in Beijing in summer, 1988. The results show that the conversion rate of NO₂ is about four times as much as that of SO₂; The conversion rates have a diurnal variation in a day. On the average, the rate of SO₂ is estimated to be 4.7% h^-1 during the daytime and 3.4% h^-1 during the nighttime. Similarly, the rate of NO₂ is estimated to be 17.2% h^-1 and 12% h^-1 respectively.     

成土母质对土壤团聚体形成的影响

成土母质对土壤团聚体数量及其稳定性的影响与不同母质所含无机胶体（粘粒、游离氧化物）的差别有关．对浙江省八类母质发育的土壤的团聚体组成的研究表明：母质对土壤团聚体及其水稳定性影响顺次为玄武岩＞石灰岩、Q2红土＞花岗岩、石英砂岩＞泥页岩＞紫砂岩＞红砂岩．其中母质对5－1mm粒级的水稳性团聚体的影响最为显著．     

大气中硝酸和颗粒物硝酸盐的测定

研究了用扩散管差分法和多种叠滤膜法测量大气中粒物硝酸盐和气体硝酸，扩散管差分法可以测量颗粒物硝酸盐和气体硝酸，避免了采样时颗粒物硝酸盐的人为损失。Ｆｌｏｕｒｏｐｏｒｅ聚四氟乙烯膜等惰性膜也可以采集颗粒物硝酸盐，其后的ＮａＣｌ浸渍膜采集硝酸，而玻璃纤维膜几乎同时采集了颗粒物硝酸盐和硝酸。     

氧化铈在非贵金属燃烧催化剂中热稳定性的研究

本文考察了Ｃｅ含量对提高催化剂的热稳定性的作用，并采用Ｘ－射线衍射分析Ｃｅ含量对催化剂活性组成的影响。结果表明，合适的Ｃｅ含量能够提高催化剂的热稳定性，这主要是氧化铈能够阻止ＮｉＣｏ２Ｏ４相的生成，而ＮｉＣｏ２Ｏ４的生成对本系列催化剂的燃烧活性是不利的。实验还表明，在空气气氛下有利于形成ＮｉＣｏ２Ｏ４相，在Ｎ２／Ｈ２Ｏ气氛中不利于ＮｉＣｏ２Ｏ４相的生成。     

糠醛加氢废催化剂的回收再利用

以糠醛液相加氢生产糠醇所用的废铜铬氧化物催化剂为原料，通过与纯碱氧化——钠化焙烧、浸取分离铜铬离子，分别制得铬酸钠和硝酸铜，并以此为原料进一步制得新催化剂，回用于糠醛液相加氢制糠醇。Cr(Ⅲ)与Cu(Ⅱ)的转化率均在90％以上，制得的新催化剂回收率大于85％，使用效果好。研究了铬转化率与焙烧温度、时间、返渣量等条件的关系。