南黄海悬浮体浓度的平面分布特征及其输运规律

重点分析和探讨了南黄海悬浮体浓度的平面分布及其水平输运,结果显示悬浮体浓度具有显著的空间区域化分布特征,其与该海域环流场的布局和季节转换存在良好的对应关系,南黄海环流是该海域悬浮体运移的主要动力和控制因素;江苏近岸海域在一年四季均为悬浮体浓度的最高值区,其悬浮体主要来源于潮流和海浪所引起的沉积物再悬浮以及苏北沿岸水的携带和输送,而且夏季悬浮体在该海域的累积还可为冬半年在黄海西部沿岸流作用下将其输运至东南海域提供很好的物源保证;长江口东北部海域在春、夏、秋三季出现东北向扩展的高值区,体现了长江冲淡水的影响;石岛外海在冬、春、秋三季也存在悬浮体浓度高值区,并具有向南黄海中部泥质区扩展的态势,这是鲁北沿岸流将现代黄河物质输运至此的结果。发现调查海域中部表底层在春秋季均存在云团状高值区,而且该海域悬浮体浓度自春季至秋季出现"双峰现象",这与春秋季水华期间浮游植物繁殖所产生的有机碎屑有关,并使作为悬浮体组成的海洋浮游生物有机质向沉积物转移,据此进一步指出这一物源可能对南黄海冷涡泥质区的形成、发育也具有一定的作用,该观点深化了对南黄海中部冷涡泥质区受上层生物活动影响以及泥质区物源的认识。     

基于GIS交通网络的室内3维网络模型研究

在2维交通网络逻辑数据模型基础上,讨论了概念化的楼层网络,进行了室内连通的3维网络模型的研究。基于ArcGIS的交通网络模型建立了试验区的室内3维网络模型,并给出分析结果,该方法为室内3维网络模型研究提供了技术支持。     

道路交通节能减排途径与潜力分析

交通运输行业是仅次于制造业的第二大油品消耗行业,也是实现低碳生活发展路径的重点行业。基于交通运输部门碳排放量现状分析,本文提出了优先发展公共交通、鼓励发展小排量汽车、降低机动车单耗、控制排放物标准等四种挖潜减排途径,并利用排放量估算和情景分析相结合的方法,对我国道路交通减排潜力进行了预测。按照高中低度三种减排情景发展,测算出2015年及2020年减排量,为实现至2020年我国碳排放较2005年下降40%~45%的目标提供科学基础。研究认为:2010-2020年是中国交通运输行业高速发展阶段,要满足能源安全和温室气体减排要求,我国需要实施更严格的产业和环境政策,若强化低碳情景模式,则2015年、2020年的碳排减少量分别约为2183万t、7148万t,达到我国道路交通部门的最大减排潜力。     

基于城市交通网络的广州“1小时交通圈”划分

“1 h交通圈”的确定对区域经济发展、城市远景规划,甚至居民的生产生活都有着重要影响。然而现有研究几乎都采用欧几里得距离（直线距离）方法定性地、粗略地表示“1 h交通圈”。为弥补这些不足,文章以广州为例,根据城市道路交通网络来划分广州“1 h交通圈”,定量并精确地分析该交通圈。结果表明：1）广州“1 h交通圏”覆盖了珠三角的9个主要城市,其中佛山受益最大;2）广州“1 h交通圈”的主要贡献对象是城际轨道交通和高速公路网;3）由于城市道路并非直线,广州“1 h交通圈”的范围集中在主城区的120 km缓冲区范围内;4）因为广州周边的交通网络发达,其“1 h交通圈”没有显现出很多的岛状区域。此外,广州“1 h交通圈”也对经济发展、政府服务、城市生活和基础设施建设有重要影响。     

高空急流对一次强沙尘暴过程沙尘传输的影响

使用GRAPES_SDM沙尘暴数值模式,对2011年4月28-30日中国北方强沙尘暴天气进行分析,讨论高空急流在此次过程中对沙尘传输的影响,得出以下结论:（1）GRAPES_SDM沙尘暴模式较好地模拟了此次沙尘暴过程的范围和强沙尘暴中心,整体模拟效果较好;（2）沙尘天气发生时间及移动路径与200 hPa高空急流的加强、移动发展有很好的对应关系;（3）高空强纬向风速的加强能够促使中低层形成垂直环流圈,其下沉支流使高空动量有效下传到近地面,进而在地面形成大风及扬沙和沙尘暴天气,强沙尘暴中心位于此垂直环流圈的下沉支;（4）等熵位涡与高空急流及地面沙尘浓度分布演变有很好的对应关系,等熵位涡位于高空急流北侧,地面沙尘浓度中心位于高空急流出口区、等熵位涡中心西南侧、等值线密集带;高层高值位涡区向下延伸的路径与高空急流北侧纬向风速等值线密集带有非常好的对应关系。本文还通过对高空急流轴线动力、热力结构垂直剖面的分析,探讨了高空急流对大范围沙尘天气影响的可能机制。     

太湖疏浚底泥堆场黏土防渗层阻隔污染物的试验研究

底泥疏浚是治理太湖污染的必要途径之一。限于目前国内的经济与技术条件以及疏浚底泥的数量巨大,太湖雪浪底泥堆场只能直接采用下部的天然黏性土层作为防渗层而不加任何处理。为了确保疏浚污染底泥在堆放期间不对周围环境和地下水造成污染,采用渗透与阻隔、静态吸附、动态土柱等试验测定和分析了黏土层对底泥中主要污染物（总氮、氨氮、硝氮、亚硝氮、总磷、化学耗氧量（COD））渗透和运移的阻隔能力,同时得到了可用于分析污染物在土层中运移和转化规律的一些重要参数。试验结果表明,雪浪堆场下部的黏土层对疏浚底泥中的主要污染物具有较强的吸附和阻隔能力。     

Efficient sampling and data reduction techniques for probabilistic seismic lifeline risk assessment

Probabilistic seismic risk assessment for spatially distributed lifelines is less straightforward than for individual structures. While procedures such as the ‘PEER framework’ have been developed for risk assessment of individual structures, these are not easily applicable to distributed lifeline systems, due to difficulties in describing ground‐motion intensity (e.g. spectral acceleration) over a region (in contrast to ground‐motion intensity at a single site, which is easily quantified using Probabilistic Seismic Hazard Analysis), and since the link between the ground‐motion intensities and lifeline performance is usually not available in closed form. As a result, Monte Carlo simulation (MCS) and its variants are well suited for characterizing ground motions and computing resulting losses to lifelines. This paper proposes a simulation‐based framework for developing a small but stochastically representative catalog of earthquake ground‐motion intensity maps that can be used for lifeline risk assessment. In this framework, Importance Sampling is used to preferentially sample ‘important’ ground‐motion intensity maps, and K‐Means Clustering is used to identify and combine redundant maps in order to obtain a small catalog. The effects of sampling and clustering are accounted for through a weighting on each remaining map, so that the resulting catalog is still a probabilistically correct representation. The feasibility of the proposed simulation framework is illustrated by using it to assess the seismic risk of a simplified model of the San Francisco Bay Area transportation network. A catalog of just 150 intensity maps is generated to represent hazard at 1038 sites from 10 regional fault segments causing earthquakes with magnitudes between five and eight. The risk estimates obtained using these maps are consistent with those obtained using conventional MCS utilizing many orders of magnitudes more ground‐motion intensity maps. Therefore, the proposed technique can be used to drastically reduce the computational expense of a simulation‐based risk assessment, without compromising the accuracy of the risk estimates. This will facilitate computationally intensive risk analysis of systems such as transportation networks. Finally, the study shows that the uncertainties in the ground‐motion intensities and the spatial correlations between ground‐motion intensities at various sites must be modeled in order to obtain unbiased estimates of lifeline risk. Copyright © 2010 John Wiley & Sons, Ltd.     

Distance,time and scale in soil erosion processes

This commentary brings together, as a virtual Special Issue, a number of recent papers in Earth Surface Processes and Landforms that are all related to issues of scale in soil erosion. Empirical concepts that were developed in the 1940s are now in need of re‐thinking, and papers are increasingly exploring, through modelling and measurement, appropriate ways to recognize the mechanisms that connect processes across time and space scales. Issues include a more nuanced approach to selective transportation, responses to variability in surface and sub‐surface conditions and the need to analyse measurements in ways that can be transferred between sites and storms. Copyright © 2010 John Wiley & Sons, Ltd.     

The transport-geographical location of Siberia's microregions: techniques and assessment results

It is established that the methodological tools for quantitative measurement of the transport-geographical location is insufficiently advanced. We suggest the algorithm for the technique of its cost assessment based on determining the “economic” distances and adapted to the peculiarities of the transport system of Siberia. We calculated the costs of the transport-geographical location of Siberian microregions (within administrative districts) with respect to the most important year-round sea ports for the current (the year 2005) and future (the year 2030) levels.     

江西省空间运输联系演化特征

利用1990年以来江西省交通运输及相关统计数据,在分析和评价全省各地市客、货运量状况的基础上,运用地域非均衡系数、区域位势商指标,对江西省客、货流运输联系的空间演化特征及趋势进行了探讨。研究表明,全省在交通运输业快速发展的同时,客、货运输在空间分布上已由低水平的集中趋向均衡发展,客运的廊道效应初显,在京九铁路、浙赣铁路、昌九高速、赣粤高速沿线地区客流较为集中;货运重心南移,极化效应减弱,随着全省各地市的资源优势开始转为经济优势,货运地位出现有序演变。结合江西省经济发展所处阶段,对其运输化发展阶段进行了初步的分析和讨论。