厦门城市空间拓展的生态敏感性评价

在综合分析海湾型城市自然生态与社会生态属性的基础上,选取了高程、坡度、河流水库、植被覆盖、土地覆盖和生态保护区等6个因子,作为生态敏感性评价的指标。另外,借助GIS空间分析单因子评价与多因子加权综合评价方法,研究了生态敏感性程度及其空间分布特征,将厦门的生态敏感性划分为4级:不敏感、较敏感、中敏感和高敏感。综合评价结果表明,厦门市生态敏感性在空间分布上差异显著:高度敏感区占研究区总面积的28.1%,低敏感区和不敏感区分别占研究区总面积的27.9%和33.6%。中度敏感区占的比例较小,仅为10.4%。     

华池油田华152区低渗透砂岩储层敏感性及其形成机理

华池油田华152区长3油层组储层为曲流河三角洲粉-细粒长石砂岩、岩屑长石砂岩,矿物成分成熟度低,结构成熟度中等,填隙物含量较高,孔隙结构以中孔细喉型为主,物性较差,属低渗透储层。主要成岩矿物（伊利石、绿泥石、伊／蒙混层、高岭石、方解石、白云石等）使储层对外来流体有不同程度的敏感性反应。“五敏”实验结果表明,储层速敏和碱敏均为弱-中等偏弱,部分伊/蒙混层、绿泥石、碳酸盐矿物含量高的样品表现出强水敏、强酸敏、强盐敏的特征;油田水结垢实验表明,注入水与地层水、储层岩石不配伍产生盐垢CaCO3,CaSO4,实验为开采过程中回注地层水和注气开采等工艺提供油层保护的理论依据。     

基于RTTOV模式的大气二氧化碳反演参数敏感性分析

大气二氧化碳是开展全球气候变化和碳循环研究的关键数据。卫星遥感技术与模式模拟相结合的反演方法已成为获取该数据的重要手段,但模式输入参数本身的误差会对大气二氧化碳反演精度产生影响,须在反演算法设计中加以关注。本文利用RTTOV10快速辐射传输模式模拟Aqua/AIRS红外探测仪17个大气二氧化碳反演通道,计算了这些通道上大气顶出射辐射对温度廓线、臭氧廓线、水汽廓线、地表温度和地表发射率的参数误差的不确定性,并与二氧化碳增加0.5%时造成的不确定性进行对比,分析二氧化碳对上述参数误差的敏感性。结果表明,温度廓线误差是干扰AIRS大气二氧化碳反演的主要因素,其次是臭氧廓线误差,而水汽廓线、地表温度和地表发射率的误差对二氧化碳反演的影响在除去个别通道后可忽略不计。最后,本文以通道为单位,确定了各通道上的高敏感参数、敏感参数和不敏感参数,为二氧化碳反演通道的选择和反演算法的设计提供了参考。     

地形动力作用对华北暴雨和云系影响的数值研究

为了进一步研究地形对华北暴雨的影响,本文从云微物理学的角度出发,选取了2005年7月22～24日的一次华北暴雨过程为研究对象,利用中尺度数值模式ARPS,通过地形高度敏感性试验,详细讨论了地形高度变化对流场、云及降水微物理过程的影响.结果表明:地形高度变化对水平和垂直流场的大小和分布都有较大影响;地形高度增加有利于迎风坡附近水平风场辐合和垂直上升运动发展,这对云的垂直和水平发展影响都很大,尤其是对中高层云的发展影响最明显,并且能明显扩大地面降水的分布范围,地面最大降水量也有所增多.这主要是由于地形高度增加后能促进中高层云水的产生,尤其是零度层之上的过冷云水含量的增多,这大大促进了冰相粒子(雪和霰)的增多,从而使得以冷云过程为主的此次降水过程中,冰相粒子融化形成的雨水含量增多.虽然地形高度的增加会抑制云系发展前期的暖云过程,但对冷云过程有持续加强作用,而且不会明显改变云内降水的形成机制,冷云过程依然是降水的最大贡献项,总体上促进了云和降水的发展.     

The Late Miocene climate response to a modern Sahara desert

The climate cooling and vegetation changes in the Miocene/Pliocene are generally well documented by various proxy data. Some important ecosystem changes occurred at that time. Palaeobotanical evidence suggests that the Sahara desert first appeared in the Pliocene, whereas in the Miocene North Africa was green. In the present study, we investigate the Late Miocene climate response to the appearance of the Sahara desert from a climate modelling sensitivity experiment. We compare a model experiment, which includes a full set of Late Miocene boundary conditions, with another one using the same boundary conditions except that the North African vegetation refers to the present-day situation. Our sensitivity study demonstrates that the introduction of the Sahara desert leads to a cooling and an aridification in Africa. In addition, we observe teleconnection patterns related to the North African desertification at around the Miocene/Pliocene boundary. From our sensitivity experiment, we observe that the Sahara contributes to a cooling in Central Asia and in North America. As compared to hypsodonty data for Central Asia, an increased aridity is underestimated in the Sahara experiment. Finally, we observe that the introduction of the Sahara leads to a cooling in the northern high latitudes. Hence, our sensitivity experiment indicates that the appearance of the Sahara desert is one piece to better understand Late Cenozoic climate cooling being most pronounced in the high latitudes.     

Conditional nonlinear optimal perturbation: Applications to stability,sensitivity, and predictability

Conditional nonlinear optimal perturbation (CNOP) is a nonlinear generalization of linear singular vector (LSV) and features the largest nonlinear evolution at prediction time for the initial perturbations in a given constraint. It was proposed initially for predicting the limitation of predictability of weather or climate. Then CNOP has been applied to the studies of the problems related to predictability for weather and climate. In this paper, we focus on reviewing the recent advances of CNOP’s applications, which involves the ones of CNOP in problems of ENSO amplitude asymmetry, block onset, and the sensitivity analysis of ecosystem and ocean’s circulations, etc. Especially, CNOP has been primarily used to construct the initial perturbation fields of ensemble forecasting, and to determine the sensitive area of target observation for precipitations. These works extend CNOP’s applications to investigating the nonlinear dynamical behaviors of atmospheric or oceanic systems, even a coupled system, and studying the problem of the transition between the equilibrium states. These contributions not only attack the particular physical problems, but also show the superiority of CNOP to LSV in revealing the effect of nonlinear physical processes. Consequently, CNOP represents the optimal precursors for a weather or climate event; in predictability studies, CNOP stands for the initial error that has the largest negative effect on prediction; and in sensitivity analysis, CNOP is the most unstable (sensitive) mode. In multi-equilibrium state regime, CNOP is the initial perturbation that induces the transition between equilibriums most probably. Furthermore, CNOP has been used to construct ensemble perturbation fields in ensemble forecast studies and to identify sensitive area of target observation. CNOP theory has become more and more substantial. It is expected that CNOP also serves to improve the predictability of the realistic predictions for weather and climate events plays an increasingly important role in exploring the nonlinear dynamics of atmospheric, oceanic and coupled atmosphere-ocean system. Supported by National Basic Research Program of China (Grant Nos. 2006CB403606, 2007CB411800), National Natural Science Foundation of China (Grant Nos. 40830955, 40675030, 40505013), Institute of Atmospheric Physics, Chinese Academy of Sciences (Grant No. IAP07202), and LASG State Key Laboratory Special Fund     

烟台市1∶500地形数据整合方法初探

为从源头彻底摆脱传统测绘生产过程中图属分离、图库分离的弊端,该文以烟台市1∶500地形数据整合为例,统筹现有地图制图规范与G1S建库需求,在统一制定数据标准的基础上,基于EPS2008软件,提出了一套制图与建库一体化数据整合技术流程,较好地解决了地图与空间数据相互表达的问题,实现了制图与建库的一体化管理。该方法还大大降低了数据重复处理的劳动强度,提高了数据整合转换的准确性和合理性,减少了信息丢失。     

北极和南极表面温度对中低纬度海洋热强迫的响应

利用耦合了平板海洋模型的全球气候模式进行了大量的格林函数实验,以探究两极地区对于施加在中低纬度海域的热强迫的气候响应。结果表明,北极地区的气候不仅受到距离较近的北太平洋与北大西洋的影响,远离北极的热带太平洋以及南太平洋也对其气候有显著的影响,南极地区的气候则主要是受到邻近的南大洋的影响。通过经验正交函数法的进一步分析发现,北极响应最显著的区域包括波弗特海(Beaufort Sea)、拉普捷夫海(Laptev Sea)以及北极中心区附近;南极地区的响应主要集中在别林斯高晋海(Bellinsgauzen Sea)区域。另外,利用温度归因法对辐射反馈过程和大气能量输运分解发现,北极地区表面温度的响应主要是受到了反照率反馈以及垂直递减率反馈的影响,而南极地区的响应则主要是反照率反馈发挥了作用。     

适应气候变化研究中的常见术语辨析

适应气候变化在国际公约谈判及国内适应实践中成为重要的关注内容,明晰适应相关的术语含义具有科学参考价值和实践指导意义。本文通过比较适应相关术语认为,适应是行为方式或对策措施的界定,可不需量化数据支持;适应能力需有明确评价指标体系,并最终产生量化性评价结果;适应性更偏重于能力属性,其基本结论是有或无、强或弱的判断,在适应性有量化结论支持或明确强弱确定时则等同于适应能力。脆弱性评价中,暴露度体现主体对象与气候变化相关的基本处境概况,敏感性表明气候变化对主体对象的影响,适应能力则是经济资本、自然资源、技术水平、社会保障四大要素的综合评价,各要素涵盖的具体指标需要酌情依据适应主体属性予以判别和遴选。适应气候变化与灾害风险管理在主体范畴、驱动因子、行动目的上有所区别,但两者共同关注提高对气候变化/气候灾害风险的抵御、承受、恢复能力,以降低不利影响,实现可持续发展为共同目标。     

基于数据挖掘的土−水特征曲线演化规律研究

土−水特征曲线是非饱和土持水性能和水气运移规律的重要表征,由于其测试过程繁杂、影响因素众多,很难通过系列试验和数学模型全面表达。为探索土的类型和物理状态对土−水特征曲线的影响,以国内外大量试验数据为基础,以反映其形态的3个特征值（进气值、减湿率、残余含水率）为对象,采用数据分析统计方法揭示不同赋存条件对特征值的作用规律,采用机器学习方法探究影响因素的敏感性。研究结果表明：土体的物质组成（颗粒级配、粒径尺度、塑性指数）及赋存状态（密实程度、饱和含水率、干湿循环作用、环境温度）是影响其持水性能的常见分析指标,各影响因素对3个特征值的影响特征既有巨大差异也有相互联系,敏感性成果表明代表黏粒含量的塑性指数和反映密实程度的干密度是影响土体持水性能的最主导因素,给出的特征值分布范围考虑了两个主导因素的影响,具有较强的代表性和借鉴意义。