中国东部城市土地利用变化对江南春雨影响的模拟研究

利用美国国家大气研究中心发布的较高分辨率大气环流模式CAM 5.1,进行了中国东部(20~50°N,100~125°E)城市土地利用变化对江南春雨影响的数值试验。结果显示:较中国东部无城市土地利用的试验相比,城市用地增加后,江南春雨推迟约3候建立而提前1候结束,持续时间缩短,同时降水强度减弱。进一步分析表明:东部城市土地利用增加可改变地表能量收支,使得东部大部分地区的地表增暖,导致地表感热增强,对大气的异常加热使得该区域上空等压面抬升,缩小了低层青藏高原东南侧至西太平洋间的位势梯度,使得形成江南春雨的直接原因——西南风减小,从而减少春季江南地区的降水。中国东部城市土地利用改变可能是影响近几十年江南春雨年代际变化的原因之一。     

中低纬太平洋夏季次表层海温异常年代际变化的时空特征比较

对1955—1998年的夏季次表层(0~400 m)海温进行了EOF分解,对比分析了中低纬太平洋夏季次表层海温的年代际变化特征。结果表明:中纬太平洋夏季次表层海温有2种年代际分布模态:0~160 m表现为PDO型,200~400 m表现为全区一致型;低纬太平洋夏季次表层海温有3种年代际分布模态:0~60 m和300~400 m为全区一致型,80~240 m为东西反向型。太平洋夏季次表层海温异常的年代际变化在中低纬都存在从上而下的时间滞后;而同一层中低纬太平洋夏季次表层海温年代际突变的时间也不一致。     

北京和广州地区云闪初始击穿电场变化特征

对比分析了北京和广州地区各100例云闪初始阶段前30 ms快电场变化波形上初始击穿脉冲的特征。依据脉冲的结构特征,两地区的云闪初始击穿脉冲可分为单极性单峰型、单极性多峰型、双极性单峰型和双极性多峰型脉冲,两地区均以单极性和单峰型脉冲为主。对脉冲参量特征的统计发现,脉冲的10%-90%上升时间、半峰值宽度地区差异性小于脉冲类型差异性;双极性单峰型脉冲的半峰值宽是单极性单峰型的1.2倍。不同类型脉冲过零时间的中值、平均值在10μs左右量级,且广州地区较北京地区的大;云闪初始击穿脉冲宽度平均值显著小于相同地区正地闪的,而脉冲间隔显著大于正地闪的。初始击穿脉冲最为集中的出现在云闪最初的1~2 ms,其比例随时间以显著的负指数分布下降。研究发现,双极性脉冲的过零时间与脉冲宽度之间、起始半周期峰值幅度与过冲幅度之间均存在较好的线性关系。     

中国东部城市群发展对南海夏季风爆发影响的模拟研究

本文利用NCAR开发的CAM5.1(Community Atmosphere Model Version 5.1)模式,针对我国东部大规模城市下垫面发展对南海夏季风爆发的影响进行了数值模拟研究。结果表明我国东部大规模城市群发展可能使得南海夏季风提前1候爆发;机理分析表明:在南海夏季风爆发之前,中国东部城市群发展引起的陆面增温,使得南海及其附近地区南北温差提前逆转、中国东部区域海平面气压降低,导致中南半岛到南海地区西南气流加强,中南半岛到南海地区降水增加,而凝结潜热垂直变化强迫出的异常环流,促进了南亚高压的加强及提前北跳,相伴随的高层抽吸作用有助于季风对流的建立和西太平洋副高的减弱东撤,从而形成了有利于南海夏季风爆发的高低层环流条件,导致南海夏季风提前爆发。另外,观测结果表明1993年之后南海夏季风爆发的日期相对上一个年代明显提前约2候,城市化快速发展阶段与南海夏季风爆发的年代际变化存在时间段的吻合,表明城市下垫面发展可能是南海夏季风提前爆发的原因之一。     

Modelling long-term HFC emissions from India's residential air-conditioning sector: exploring implications of alternative refrigerants,best practices,and a sustainable lifestyle within an integrated assessment modelling framework

India's growing role in the global climate debate makes it imperative to analyse emission reduction policies and strategies across a range of GHGs, especially for under-researched non-CO₂ gases. Hydrofluorocarbons' (HFCs) usage in cooling equipment and subsequent emissions are expected to increase dramatically in India with the phase-out of hydrochlorofluorocarbons (HCFCs) as coolants in air-conditioning equipment. We focus on the residential air-conditioning sector in India and analyse a suite of HFC and alternative coolant gas scenarios for understanding the implications for GHG emissions from this sector within an integrated assessment modelling framework. We find that, if unabated, HFC410A emissions will contribute to 36% of the total global warming impact from the residential air-conditioner sector in India in 2050, irrespective of the future economic growth trajectory, and the remaining 64% is from energy to power residential air-conditioners. A move towards more efficient, low global warming potential (GWP) alternative refrigerants will significantly reduce the cumulative global warming footprint of this sector by 37% during the period 2010–2050, due to gains both from energy efficiency as well as low GWP alternatives. Best practices for reducing direct emissions are important, but only of limited utility, and if a sustainable lifestyle is adopted by consumers with lower floorspace, low GWP refrigerants, and higher building envelope efficiencies, cumulative emissions during 2010–2050 can be reduced by 46% compared to the Reference scenario.

Policy relevance

Our analysis has important implications for Indian climate policy. We highlight that the Indian government's amendment proposal to the Montreal Protocol is a strong signal to the Indian market that the transition away from high GWP refrigerants towards low/zero GWP alternatives will happen sooner or later. The Bureau of Energy Efficiency should extend building energy conservation code policy to residential buildings immediately, and the government should mandate it. Government authorities should set guidelines and mandate reporting of data related to air-conditioner coolant recharge frequency and recovery of scrapped air-conditioner units. For contentious issues like flammability where there is no consensus within the industry, the government needs to undertake an independent technical assessment that can provide unbiased and reliable information to the market.     

Climate change mitigation scenarios and policies and measures: the case of Kazakhstan

This article illustrates the main difficulties encountered in the preparation of GHG emission projections and climate change mitigation policies and measures (P&M) for Kazakhstan. Difficulties in representing the system with an economic model have been overcome by representing the energy system with a technical-economic growth model (MARKAL-TIMES) based on the stock of existing plants, transformation processes, and end-use devices. GHG emission scenarios depend mainly on the pace of transition in Kazakhstan from a planned economy to a market economy. Three scenarios are portrayed: an incomplete transition, a fast and successful one, and even more advanced participation in global climate change mitigation, including participation in some emission trading schemes. If the transition to a market economy is completed by 2020, P&M already adopted may reduce emissions of CO₂ from combustion by about 85 MtCO₂ by 2030 – 17% of the emissions in the baseline (WOM) scenario. One-third of these reductions are likely to be obtained from the demand sectors, and two-thirds from the supply sectors. If every tonne of CO₂ not emitted is valued up to US$10 in 2020 and $20 in 2030, additional P&M may further reduce emissions by 110 MtCO₂ by 2030.     

GDP and employment effects of policies to close the 2020 emissions gap

Four policies might close the gap between the global GHG emissions expected for 2020 on the basis of current (2013) policies and the reduced emissions that will be needed if the long-term global temperature increase can be kept below the 2 °C internationally agreed limit. The four policies are (1) specific energy efficiency measures, (2) closure of the least-efficient coal-fired power plants, (3) minimizing methane emissions from upstream oil and gas production, and (4) accelerating the (partial) phase-out of subsidies to fossil-fuel consumption. In this article we test the hypothesis of the International Energy Agency (IEA) that these policies will not result in a loss of gross domestic product (GDP) and we estimate their employment effects using the E3MG global macro-econometric model. Using a set of scenarios we assess each policy individually and then consider the outcomes if all four policies were implemented simultaneously. We find that the policies are insufficient to close the emissions gap, with an overall emission reduction that is 30% less than that found by the IEA. World GDP is 0.5% higher in 2020, with about 6 million net jobs created by 2020 and unemployment reduced.

Policy relevance

The gap between GHG emissions expected under the Copenhagen and Cancun Agreements and that needed for emissions trajectories to have a reasonable chance of reaching the 2 °C target requires additional policies if it is to be closed. This article uses a global simulation model E3MG to analyse a set of policies proposed by the IEA to close the gap and assesses their macroeconomic effects as well as their feasibility in closing the gap. It complements the IEA assessment by estimating the GDP and employment implications separately by the different policies year by year to 2020, by major industries, and by 21 world regions.     

纹理特征向量与最大化熵法相结合的SAR影像非监督变化检测

合成孔径雷达(SAR)影像具有明显的斑点噪声,在变化检测中,一般需要考虑空间邻域信息。本文结合SAR影像丰富的纹理信息,提出一种考虑空间邻域信息的高分辨率SAR影像非监督变化检测方法,用基于灰度共生矩阵(GLCM)的32维纹理特征向量构造差异影像。通过最大化熵法自动选取阈值,对精度指标随窗口大小的变化进行回归分析,得到适合于变化检测的窗口为11×11。试验表明,本文方法优于马尔科夫随机场法,可以减小斑点噪声的影响,有效提高高分辨率SAR影像变化检测的精度。     

全球气候数据集生成及气候变化应用研究

科技部在"十三五"期间部署的国家重点研发计划"全球变化及应对"专项资助了"全球气候数据集生成及气候变化关键过程和要素监测"研究项目。项目围绕由全球气候观测系统提出的基本气候变量,完善地空天基观测体系,生成中国首套以遥感数据为主体的涵盖大气、海洋和陆表长时间序列、高精度、高时空一致性的产品,即气候数据集,动态监测全球变化关键过程和要素。     

小尺度土地利用变化模型在岩溶山区的应用

针对当前土地利用模拟技术在岩溶地区应用较少的现状,该文提出了利用CLUE-S模型对岩溶地区土地利用变化进行模拟。此模型全面考虑自然和人文因子,通过迭代方法综合空间分析和非空间分析,较好地模拟小尺度范围内土地利用变化,具有综合性、开放性、空间性、竞争效率性等特点。研究结果表明:该模型不仅能够准确地反映未来研究区土地利用变化趋势,而且能较好地筛选影响未来土地利用变化主要影响因子,进行不同情景土地利用变化模拟,对岩溶地区土地利用规划和管理具有参考价值。