Near-Wall Flow Development After A Step Change In Surface Roughness

An experimental study of the initial flow field downstream of a step change in surface roughness is presented. The roughness length of the downstream surface was approximately tenfold that of the upstream roughness and, unlike all previous studies, attention was concentrated on the roughness sublayer region beneath the inertial (log-law) region. The experiments were conducted at a boundary layer Reynolds number of about 6 × 10⁴ (based on layer thickness andfree-stream velocity) and around a longitudinal location where the (downstream) roughness length, z_o2, was about 1% of the boundary-layer thickness atthe roughness change point.The thickness of the roughness sublayer was found for the two roughness. It was observed that the vertical profiles of mean velocity and turbulence characteristics started to show similarity after about 160z₀₂ downstream of the roughness change. The presence of a shear stress overshoot is shown to depend strongly on the precise location (with respect to the roughness elements) at which the measurements are made and the thickness of the equilibrium layer is shown to be very sensitive to the way it is defined. It is demonstrated that the growing equilibrium layer has first to encompass the roughness sublayer before any thickness of inertial sublayer can be developed. It follows that, in somepractical cases, like flows across some urban environments, the latter(log-law) region may never exist at all.     

冰芯记录中末次间冰期-冰期旋回气候突变事件的研究进展

冰芯记录中的气候变化是古气候研究中的重要组成部分. 极地、中低纬度和热带地区的冰芯记录表明, 在冰期间冰期旋回大尺度气候变化背景下, 全球经历了一系列数百年至千年时间尺度的快速气候突变事件, 诸如末次间冰期的干冷事件、末次冰期的DansgaardOeschger事件、 Heinrich事件和Younger Dryas事件等, 虽然这些穿插在冰阶中的暖湿气候事件、间冰阶中的干冷气候事件的成因、机制和影响范围还存在明显的不确定性. 主要介绍不同区域冰芯记录中末次间冰期冰期旋回这些气候突变事件发生的时间、过程和机制等的研究进展.     

青藏高原各拉丹冬地区冰川变化的遥感监测

以位于青藏高原长江源头的各拉丹冬地区冰川为例, 利用2000年的TM数字遥感影像资料、 1969年的航空相片遥感资料、地形图及数字地形模型, 通过遥感图像处理和分析提取研究区小冰期最盛期(LIA)、 1969年和2000年的冰川范围, 并在地理信息系统技术支持下分析该地区冰川的进退情况. 研究结果表明, 该地区1969年冰川面积比小冰期最盛期的冰川面积减少了5.2%, 2000年的冰川面积比1969年的冰川面积减少了1.7%. 从1969年到2000年最大冰川退缩速度为-41.5 m*a-1, 最大冰川前进速度为+21.9 m*a-1. 本区的冰川基本处于稳定状态, 冰川退缩的速度不是太大, 并有前进的冰川存在.     

变化中的地球所面临的挑战:全球变化的科学理解(英文)

简要介绍了变化中的地球所面临的挑战 ,并在描述地球系统科学近年来所取得成就的基础上给出了全球变化的科学理解。同时也简要介绍了世界正在面临的主要环境问题 ;描述了气候系统研究所达成的共识、面临的挑战及所取得的研究进展 ;并从大气、海洋和陆地间的CO2 交换、转换、不确定性等方面阐述了碳循环 ;然后 ,简单描述了全球水循环研究进展 ;最后 ,展望了在变化的地球中生存所要面临的挑战与机遇。     

中国北方农牧交错带与非洲萨哈尔地带全新世环境变迁的比较研究

中国北方农牧交错带和非洲萨哈尔带均为处在季风尾闾带的干旱向半湿润气候过渡的地带。通过对比分析 ,发现两个地带自然地理环境及其全新世以来的环境演变等具有很大程度的相似性 ;自全新世以来 ,两个地带均出现过几乎同步的 8个千年尺度的冷暖、干湿旋回 ;在近百年的干湿变化方面都有 10～ 2 0a变化周期 ;在少雨期和多雨期的转变过程中非洲萨哈尔带较中国北方农牧交错带提前 5a以上。这一超前信息的存在 ,为中国北方农牧交错带的气候预测提供了一个重要的前兆因素。     

与全球变化有关的几个北极海洋地质问题

极地区域是全球变化研究的重点区域 ,在北极地区与全球变化有关的地质问题主要是北极地区的海陆变化对全球变化的影响 ,以及全球变化在地层中的记录。这涉及到北极形态变化及与其它大洋沟通的水道开闭情况 ,地形起伏对大气、大洋环流的影响 ,地壳升降与海平面变化对河流流量和海岸稳定性的影响 ,气体水合物及有机碳等变化对全球碳循环的影响 ,以及这些影响与气候变化信息在极地沉积物中的记录。文章在对上述影响及海洋地质研究状况进行探讨后 ,又简要介绍了中国的首次北极考察海洋地质研究状况     

灾害生态学——生态学的一个重要发展方向

对灾害生态学有关的基本概念与主要研究内容进行了探讨。认为灾害实际上是一种异常的生态学现象与过程，因此需要从生态学的角度加以研究，特别是要对灾害系统的发生成因、类型、时空分布、发展、危害、预测、控制和灾后恢复等的全过程生态学现象和规律以及相关技术进行研究。同时指出，当今，应围绕重大的全球性环境灾害问题，对其发生与发展的生态学机制与生态学后果，以及减轻、防范这些灾害的关键技术开展研究。     

A multi-scale study on land use and land cover quality change: The case of the Yellow River Delta in China

This paper presents a case study of the Yellow River Delta in China, to trace land use and land cover changes during the past 20 years, with an emphasis on land quality changes. Three sets of data are used in this case study: remote sensing data derived from satellite images; crop yield data from statistics; and soil data collected by the researchers in the field. Our study reveals that at the regional scale, LUCC has taken place in a positive direction: vegetation cover has been expanding and crop yields per hectare have been on rise. However, while the overall eco-environment has improved, the improvement is uneven across the Delta region. At local levels, some areas show signs of increased salinization and declining organic content. Both natural forces and human activities are responsible for the LUCC, but human activities play a more important role. While some impacts of human activities are positive, the damages are often long-lasting and irreversible. We also conclude that it is necessary to use both macro data (such as remote sensing data) and micro data (data collected in the field) to study land quality change. The former are efficient in examining land quality changes at the regional scale, the latter can serve to verify ground patterns revealed from macro data and help to identify local variations, so as to get a comprehensive understanding of LUCC and promote sustainable land use and land management. This revised version was published online in July 2006 with corrections to the Cover Date.     

Counting chronology and climate records with about 1000 annual layers of a Holocene stalagmite from the Water Cave in Liaoning Province, China

One active stalagmite from the Water Cave in Liaoning Province contains growth layers of three sizes. Based on thermal ionization mass spectrometry 230Th dating, we found that middle size layers are annual layers, with each middle layer consisting of one narrow dark layer and a wide bright layer. The small layers within middle layers are sub-annual layers and the large layers are multi-year layers. Based on the layer-counting method, we established a high-resolution time scale for layer thickness. Our results reveal two dramatic century-scale climate cycles over the past 1000 years in this region.     

Predicting average annual groundwater levels from climatic variables: an empirical model

On the basis of one-dimensional theoretical water flow model, we demonstrate that the groundwater level variation follows a pattern similar to recharge fluctuation, with a time delay that depends on the characteristics of aquifer, recharge pattern as well as the distance between the recharge and observation locations. On the basis of a water budget model and the groundwater flow model, we propose an empirical model that links climatic variables to groundwater level. The empirical model is tested using a partial data set from historical records of water levels from more than 80 wells in a monitoring network for the carbonate rock aquifer, southern Manitoba, Canada. The testing results show that the predicted groundwater levels are very close to the observed ones in most cases. The overall average correlation coefficient between the predicted and observed water levels is 0.92. This proposed empirical statistical model could be used to predict variations in groundwater level in response to different climate scenarios in a climate change impact assessment.