Urban expansion and its contribution to the regional carbon emissions: Using the model based on the population density distribution

The method is used for calculating regional urban area dynamics and the resulting carbon emissions (from the land-conversion) for the period of 1980 till 2050 for the eight world regions. This approach is based on the fact that the spatial distribution of population density is close to the two-parametric Γ-distribution [Kendall, M.G., Stuart, A., 1958. The Advanced Theory of Statistics, vol. 1.2. Academic Press, New York; Vaughn, R., 1987. Urban Spatial Traffic Patterns, Pion, London]. The developed model provides us with the scenario of urbanisation, based on which the regional and world dynamics of carbon emissions and export from cities, and the annual total urban carbon balance are estimated. According to our estimations, world annual emissions of carbon as a result of urbanisation increase up to 1.25 GtC in 2005 and begin to decrease afterwards. If we compare the emission maximum with the annual emission caused by deforestation, 1.36 GtC per year, then we can say that the role of urbanised territories (UT) in the global carbon balance is of a comparable magnitude. Regarding the world annual export of carbon from UT, we observe its monotonous growth by three times, reaching 505 MtC. The latter, is comparable to the amount of carbon transported by rivers into the ocean (196–537 MtC). The current model shows that urbanisation is inhibited in the interval 2020–2030, and by 2050 the growth of urbanised areas would almost stop. Hence, the total balance, being almost constant until 2000, then starts to decrease at an almost constant rate. By the end of the XXI century, the total carbon balance will be equal to zero, with the exchange flows fully balanced, and may even be negative, with the system beginning to take up carbon from the atmosphere, i.e., becomes a “sink”. The regional dynamics is somewhat more complex, i.e., some regions, like China, Asia and Pacific are being active sources of Carbon through the studied period, while others are changing from source to sink or continue to be neutral in respect the GCC.     

Modeling the carbon cycle of urban systems

Although more than 80% of carbon dioxide emissions originate in urban areas, the role of human settlements in the biosphere evolution and in global carbon cycling remains largely neglected. Understanding the relationships between the form and pattern of urban development and the carbon cycle is however crucial for estimating future trajectories of greenhouse gas concentrations in the atmosphere and can facilitate mitigation of climate change. In this paper I review state-of-the-art in modeling of urban carbon cycle. I start with the properties of urban ecosystems from the ecosystem theory point of view. Then I discuss key elements of an urban system and to which degree they are represented in the existing models. In conclusions I highlight necessity of including biophysical as well as human related carbon fluxes in an urban carbon cycle model and necessity of collecting relevant data.     

华北地区水资源及水安全问题的思考与研究

结合中国科学院知识创新工程项目“华北地区水循环与水资源安全”的研究工作,论述华北地区紧迫的水安全问题与反思,展望国际水科学研究前沿与热点问题,介绍中国科学院在变化环境下的水循环、农业节水和水资源安全研究的阶段成果和近期研究行动计划,提出中国北方特别是华北地区的水文水资源科学研究与发展的几点建议。目的是研讨未来中国北方特别是华北地区水资源安全国家需求中的长远发展的前沿性问题。     

温带亚高山针叶林土壤碳循环微生物群落的时空动态

选取参与碳固定的二磷酸羧化/加氧酶基因（cbbM）、有机碳降解的淀粉酶基因（amylase）和纤维素酶基因（cellulase）作为分子标记,用实时定量PCR方法对温带亚高山华北落叶松（Larix gmelinii var.principis-rupprechtii）林、白杄（Picea meyeri）林、青杄（P.wilsonii）林和油松（Pinus tabulaeformis）林土壤碳循环功能微生物类群丰度的时空动态开展研究.结果显示,总碳（TC）、总氮（TN）、总硫（TS）、有机质（OM）和有机碳（TOC）、pH值、铵态氮（NH₄⁺-N）、硝态氮（NO₃^--N）、过氧化氢酶、蔗糖酶和脲酶活性在4种森林土壤中都有不同程度的差异,且有显著的季节变化特征.高海拔华北落叶松林土壤TC、TN、TS、C/N、OM和TOC含量最高,而pH值最低.土壤TC、TN、亚硝态氮（NO₂^--N）含量、蔗糖酶和脲酶活性,与碳循环微生物类群的丰度呈极显著相关.土壤NO₃^--N含量与有机碳分解和固碳微生物类群的相对丰度显著相关;土壤C/N、NO₂^--N、pH值、OM、TOC、过氧化氢酶及脲酶活性,与降解易分解碳（labile C）和难分解碳（recalcitrant C）的微生物类群的相对丰度呈极显著相关.植被类型和季节变化共同影响土壤碳循环微生物类群的丰度,而季节变化是主导因素.植被和土壤环境因子通过调控微生物群落碳代谢功能类群的结构,影响森林土壤碳源-汇的平衡.     

滇东主要断裂带温泉CO_2成因浅析

通过对滇东主要断裂带上典型温泉的地质背景、环境条件、水化学及碳、氦稳定同位素分析,探讨这些温泉CO2释放的一般规律。分析表明滇东主要断裂带温泉具有特殊的碳来源,其CO2释放与沿小江断裂混杂第三纪煤层(褐煤)有关。     

Influence of driving cycles on exhaust emissions and fuel consumption of gasoline passenger car in Bangkok

The influence of different driving cycles on their exhaust emissions and fuel consumption rate of gasoline passenger car was investigated in Bangkok based on the actual measurements obtained from a test vehicle driving on a standard chassis dynamometer. A newly established Bangkok driving cycle (BDC) and the European driving cycle (EDC) which is presently adopted as the legislative cycle for testing automobiles registered in Thailand were used. The newly developed BDC is constructed using the driving characteristic data obtained from the real on-road driving tests along selected traffic routes. A method for selecting appropriate road routes for real driving tests is also introduced. Variations of keyed driving parameters of BDC with different driving cycles were discussed. The results showed that the HC and CO emission factors of BDC are almost two and four times greater than those of EDC, respectively. Although the difference in the NOx emission factor is small, the value from BDC is still greater than that of EDC by 10%. Under BDC, the test vehicle consumes fuel about 25% more than it does under EDC. All these differences are mainly attributed to the greater proportion of idle periods and higher fluctuations of vehicle speed in the BDC cycle. This result indicated that the exhausted emissions and fuel consumption of vehicles obtained from tests under the legislative modal-type driving cycle (EDC) are significantly different from those actually produced under real traffic conditions especially during peak periods.     

中国农田肥料N2O直接和间接排放重新评估

农田肥料(氮肥、复合肥、有机肥)是我国N₂O最大的排放源,其估计直接决定了排放总量的可靠性.为此,重新评估了中国农田肥料N₂O的直接和间接排放,选择2008年县域尺度活动数据、具有空间分异性的本土排放因子和参数来重新评估其排放规模、结构、空间格局及不确定性;通过与IPCC、EDGAR等国内外研究结果的对比分析,阐述该排放清单的可靠性和全面性.结果表明,2008年我国农田肥料N₂O排放总量为617.1 Gg(处于213.7~1149.2 Gg之间),其中,氮肥直接排放为458.8 Gg(74.5%),有机肥直接排放为121.0 Gg(19.6%),挥发沉降和淋溶径流造成的间接排放分别为28.0 Gg(4.5%)和9.3 Gg(仅占1.5%左右).排放集中在华北平原、东北的松辽平原、华中的淮河流域和四川盆地,以及华南的珠三角、雷州半岛和台湾地区的县(区、市、旗),主要分布在江苏(52.4 Gg)、四川(48.0 Gg)、湖北(43.2 Gg)、广东(40.8 Gg)、河南(39.6 Gg)、安徽(38.4 Gg)、湖南(31.6 Gg)、山东(28.9 Gg),其累积规模为全国总量的52%,其中,近50%的贡献源于164个县(区、市、旗).本排放清单具有更高的准确度和空间分辨率,而基于IPCC (2006)排放因子及参数的估计排放总量高估了约8.3%,对直接排放和间接排放则分别低估了12.5%和高估了330%.此外,在空间格局上还表现出高值区低估和低值区高估的特点,在491和1225个县(区、市、旗)的相对偏差超过了100%和50%,特别指出的是,间接排放在大部分县(区、市、旗)的相对偏差达到135%左右.     

水泥窑协同处置生活垃圾焚烧飞灰的汞排放特性及管控措施探讨

生活垃圾焚烧飞灰资源化利用主要途径之一是作为生产水泥原料。飞灰中富集了高浓度的汞、镉、铅等重金属。新型水泥窑的工艺特点导致高挥发性的汞无法固化在水泥熟料中,汞主要随烟气外排。当水泥窑处置飞灰规模较大、飞灰中汞含量较高时,如不采取控制措施,会导致水泥窑排放烟气中汞浓度超过标准限值。分别从机理分析、数据统计演算及实际检测结果多方面进行了验证,提出应加强对水泥窑协同处置飞灰过程中汞污染的认识及监督管理,探索有效的汞排放控制途径,确保汞排放达标。     

全球大气硫循环及区域交叉影响

二氧化硫和硫酸盐是硫的重要存在形式,是影响环境空气质量的重要大气污染物.硫酸盐气溶胶是影响全球气候变化的重要大气组分,大气中的硫酸盐气溶胶生命周期短,其浓度空间差异大、时间变化显著.在区域尺度乃至全球尺度研究其迁移转化和区域交叉影响,具有十分重要的科学意义.本研究以2010年SO_2全球排放清单为基础,应用国际通用大气化学模式(Mozart-4),模拟全球大气硫的迁移转化及其季节变化和空间分布特征,并分析全球不同区域间的交叉影响.结果表明:1SO_2柱浓度全球年均值为424.73μg S·m~(-2),中东及南亚最高,达3629.27μg S·m~(-2),南美最低,为181.06μg S·m~(-2).2硫酸盐柱浓度全球年均值为1572.86μg S·m~(-2),东亚年均硫酸盐柱浓度最高,达4556.58μg S·m~(-2),南美最低,为1014.33μg S·m~(-2).3冬季SO_2柱浓度高于其他春夏秋3季,夏季硫酸盐柱浓度高于冬季,主要是由于冬季低温使SO_2不易转化为硫酸盐.4硫酸盐表现出明显的全球迁移特征,全球各区域间交叉影响显著.东亚的净输出量最大,达4.01 Tg S·a~(-1).非洲、中亚及俄罗斯硫酸盐柱浓度的外源影响比例分别高达80.54%和73.00%.     

燃料电池汽车氢源生命周期分析

运用生命周期评价方法对使用不同氢源的燃料电池汽车进行了分析.经过目的与范围的确定、清单分析、影响评价和结果解释,表明电解制氢方案的污染排放明显高于甲醇重整和汽油重整方案,而甲醇重整和汽油重整方案又高于天然气制氢和煤制氢方案,对于相同的制氢方案,液氢方案的排放略高于气氢方案.