Grazing suppression of dimethylsulphoniopropionate (DMSP) accumulation in iron-fertilised, sub-Antarctic waters

The impact of in situ iron fertilisation on the production of particulate dimethylsulphoniopropionate (DMSPp) and its breakdown product dimethyl sulphide (DMS) was monitored during the SOLAS air-sea gas exchange experiment (SAGE). The experiment was conducted in the high nitrate, low chlorophyll (HNLC) waters of the sub-Antarctic Southern Ocean (46.7°S 172.5°E) to the south-east of New Zealand, during March-April, 2004. In addition to monitoring net changes in the standing stocks of DMSPp and DMS, a series of dilution experiments were used to determine the DMSPp production and consumption rates in relation to increased iron availability. In contrast to previous experiments in the Southern Ocean, DMS concentrations decreased over the course of the 15-d iron-fertilisation experiment, from an integrated volume-specific concentration in the mixed layer on day 0 of 0.78 nM (measured values 0.65-0.91 nM) to 0.46 nM (measured values 0.42-0.47 nM) by day 15, in parallel with the surrounding waters. DMSPp, chlorophyll a and the abundance of photosynthetic picoeukaryotes exhibited indiscernible or only moderate increases in response to the raised iron availability, despite an obvious physiological response by the phytoplankton. High specific growth rates of DMSPp, equivalent to 0.8-1.2 doublings d⁻¹, occurred at the simulated 60% light level of the dilution experiments. Despite the high production rates, DMSPp accumulation was suppressed in part by microzooplankton grazers who consumed between 61% d⁻¹ and 126% d⁻¹ of the DMSPp production. Temporal trends in the rates of production and consumption illustrated a close coupling between the DMSP-producing phytoplankton and their microzooplankton grazers. Similar grazing and production rates were observed for the eukaryotic picophytoplankton that dominated the phytoplankton biomass, partial evidence that picoeukaryotes contributed a substantial proportion of the DMSP synthesis. These rates for DMSPp and picoeukaryotes were considerably higher than for chlorophyll a, indicating higher cycling rates of the DMSP-producing taxa than for the bulk phytoplankton community. When compared to the total phytoplankton community, there was no evidence of selection against the DMSP-containing phytoplankton by the microzooplankton grazers; the opposite appeared to be the case. SAGE demonstrated that increased iron availability in the HNLC waters of the Southern Ocean does not invariably lead to enhanced DMS sea-air flux. The potential suppression of DMSPp accumulation by grazers needs to be taken into account in future attempts to elevate DMS emission through in situ iron fertilisation and in understanding the hypothesised link between levels of Aeolian iron deposition in the Southern Ocean, DMS emission and global albedo.     

基于以太网的高精度温湿度智能传感器的设计

通过分析气象数据采集系统的功能需求,确定高精度温湿度智能传感系统总体设计方案,介绍系统的软硬件设计与实现。系统以低功耗LPCI768为主控芯片,配合低功耗、16位串行模数转换芯片AD7792以及低功耗、物理层收发器KSZ8041NL等实现基于以太网的高精度测量、自动采集和实时处理等功能,与现有气象数据采集器相比,具有体积小、功耗低、组网灵活和测量精度高等特点。实验结果表明,高精度智能传感器工作稳定,绝对测量误差在0．06℃内。     

基于投入产出模型的旅游消费对经济增长的动态影响研究

基于投入产出模型,利用中国《2002年部门投入产出表》,定量测度了1997—2007年间我国城乡居民国内旅游消费对国民经济及各部门产出增长的贡献率及其变化,并提出相应的建议。研究结论:(1)城镇居民国内旅游消费对经济增长的贡献在上升,农村居民的贡献在下降,总体国内旅游消费对经济增长的贡献在下降。(2)城乡居民国内旅游消费对各产业产出增长贡献从大到小依次为:旅游业、住宿和餐饮业、交通仓储和邮政业、金融保险业、其他服务业、房地产业和批发零售业。(3)我国旅游业发展八分靠国内旅游,二分靠国际旅游;国内旅游消费结构中,非基本消费比重较小,亟待提高。     

A Review of the Scientific Assessment and Research on Household Carbon Emission

Household consumption represents an important proportion of all energy consumption,and it is an important source of CO₂ emission. But household consumption and carbon emissions are often overlooked in climate change policies and measures. Through literature review, the research status of household consumption and carbon emissions were reviewed. On this basis, the main aspects and directions of the research are summarized and the main research of household carbon emissions should focus on three aspects in the future: ①The impact of income, consumption levels and other factors on household carbon emission; ②The relationship between direct and indirect carbon emissions of household carbon emission; ③The structure and source of household carbon emission. In future research, there are four issues which need in-depth study: ①Index and models study of household carbon emissions;②Impact of demographic change on household carbon emissions; ③The path of how to achieve sustainable and green urban lifestyle;④The relevant policy research of household carbon emissions.     

吉林省城市住宅采暖气候耗能距平序列的建立方法

由于中国社会经济统计资料中均缺乏历年采暖能源消费数据,在分析气候变化对采暖能耗的影响时,始终存在着一个瓶颈。为此,提出了一种城市住宅采暖气候耗能距平序列的建立方法,这种方法把气候变化因素与相关的社会经济因素（如人口、人均居住面积等）结合在一起,较直观地反映了气候变化对城市住宅采暖耗能的影响。以地处高纬的吉林省为例,利用吉林省历年城镇人口、城镇人均居住面积、采暖度日数以及单位面积采暖耗煤量指标,建立了吉林省历年采暖气候耗能距平序列。结果表明：相对于1971-2000年30 a平均气候状况,吉林省2001/2002年的采暖期理论上因气候偏暖可以节约35.98万t标准煤,而2000/2001年采暖期因气候偏冷需要增加15.5万t标准煤。     

Comparative analysis of fuzzy inference systems for water consumption time series prediction

Two types of fuzzy inference systems (FIS) are used for predicting municipal water consumption time series. The FISs used include an adaptive neuro-fuzzy inference system (ANFIS) and a Mamdani fuzzy inference systems (MFIS). The prediction models are constructed based on the combination of the antecedent values of water consumptions. The performance of ANFIS and MFIS models in training and testing phases are compared with the observations and the best fit model is identified according to the selected performance criteria. The results demonstrated that the ANFIS model is superior to MFIS models and can be successfully applied for prediction of water consumption time series.     

基于经济模拟的中国能源消费与碳排放高峰预测

能源消费所产生的碳排放是经济发展过程中不可避免的副产品,而且碳排放在大气中的积累会使全球气候不断变暖,因此经济增长与碳排放之间的关系一直是学术界关注的焦点。传统的基于EKC曲线的经济计量学方法一般是对经济与排放历史数据的相关关系研究,不能很好地反映二者之间的动力学机制。为此本文在内生经济增长模型Moon-Sonn基础上进行改进,首先从理论上得到了最优经济增长率与能源强度之间存在倒U曲线关系的必要条件,即能源的产出弹性小于0.5;接着将投入产出分析得到的反映技术进步下的能源强度代入模型,对中国未来经济增长路径进行了预测,同时得到了最优增长路径下的能源消费走势,进而通过对能源消费结构和不同能源品种的碳排放系数的预测和估计,以及对分品种能源碳排放的汇总计算得到了中国未来能源消费所产生的总的碳排放走势。结果显示,在当前技术进步速率下,我国分别在2043年和2040年达到能源消费高峰和碳排放高峰。此外,本文对能源强度不同下降速率对能源消费高峰的影响进行模拟发现,当降速为4.5%~5%时,能源高峰将出现在2040年前,此时的人均GDP为10万元左右,与OECD国家的高峰时收入一致;而且分3种情景模拟了可再生能源替代政策对...     

Using housing estates as conservation tools: A case study in KwaZulu-Natal, South Africa

Increasing transformation and fragmentation of rural landscapes for economic reasons is causing concern to conservationists worldwide. With this trend likely to continue, perhaps conservation agencies and development corporations need to co-operate and plan housing developments that are environmentally and ecologically sustainable and can serve as refuges for endangered species. In KwaZulu-Natal, South Africa, grasslands are particularly threatened by land transformation for housing developments. A case study is presented of a housing development, Wedgewood Estate in KwaZulu-Natal that has been developed and managed for conserving grassland habitat and associated species, particularly the endangered oribi (Ourebia ourebi). Feedback from the Estate's managers about the development and ecological impact were obtained. Wedgewood is an example of the viability of housing estates as refuges for endangered species and shows that the density and placement of housing and management of the natural habitat are important. It emphasizes the need for reviewing the types and amount of housing development, management of natural habitat, and the rules and regulations they put in place to assure the integrity of the conservancy is preserved. This case study also shows the potential of such ecologically sensitive housing developments as sources of surplus game for translocation, especially in the case of endangered species such as oribi.     

嫩江流域近45年来径流演变规律研究

采用随机水文学方法对嫩江流域1956~2000年的年径流量序列演变特征进行分析。结果表明,嫩江流域径流的水文周期是32a,整体而言,45a径流序列不存在明显的趋势性。此外,对嫩江流域用水性消耗程度进行分析。结果表明,人类用水性消耗量对流域水循环整体影响程度为5%,但是在流域内部影响程度存在较大差异。洮儿河子流域影响因子达到16%,反映该地区人类取用水消耗量较大。从年际分析,整个流域在70年代的影响因子要高于其它年段,呈现出越是枯水年段人类用水影响程度越大的现象。     

基于最终需求的中国出口贸易碳排放研究

以2002年为例,采用投入产出模型,从最终需求的角度对中国出口贸易引起的碳排放(包括直接和间接排放)进行了评估。结果表明,2002年中国为满足对外出口需求而在国内和国外引起的碳排放约288.22~330.49 MtC,其中国内出口排放261.19 MtC,约占当年国内一次能源消费碳排放量的23.45%;大部分部门的出口碳排放主要是由国内排放所贡献,进口再出口排放对总出口排放的平均贡献率在9.38%~20.97%之间。中国单位产值出口的平均碳排放为0.093~0.106 kgC,其中0.084 kgC是在国内排放;碳密集部门多集中于重化工业、交通运输和部分轻工业。将来一方面,中国不宜增加高耗能行业的出口;另一方面,国外发达国家也应积极向中国等发展中国家转让先进生产技术,以减少全球温室气体排放,实现全球减排行动中公平与效率的双赢。