Climate-Induced Variability of Sea Level in Stockholm： Influence of Air Temperature and Atmospheric Circulation

This study is focused on climate-induced variation of sea level in Stockholm during 1873-1995. After the effect of the land uplift, is removed, the residual is characterized and related to large-scale temperature and atmospheric circulation. The residual shows an overall upward trend, although this result depends on the uplift rate used. However, the seasonal distribution of the trend is uneven. There are even two months （June and August） that show a negative trend. The significant trend in August may be linked to fresh water input that is controlled by precipitation. The influence of the atmospheric conditions on the sea level is mainly manifested through zonal winds, vorticity and temperature. While the wind is important in the period January-May, the vorticity plays a main role during June and December. A successful linear multiple-regression model linking the climatic variables （zonal winds, vorticity and mean air temperature during the previous two months） and the sea level is established for each month. An independent verification of the model shows that it has considerable skill in simulating the variability.     

A study on the seismic behavior of a retrofitted building based on nonlinear static and dynamic analyses

This study describes the seismic performance of an existing five storey reinforced concrete building which represents the typical properties of low-rise non-ductile buildings in Turkey. The effectiveness of shear walls and the steel bracings in retrofitting the building was examined through nonlinear static and dynamic analyses. By using the nonlinear static analysis, retrofitted buildings seismic performances under lateral seismic load were compared with each other. Moreover, the performance points and response levels of the existing and retrofitting cases were determined by way of the capacity-spectrum method described in ATC-40 (1996). For the nonlinear dynamic analysis the records were selected torepresent wide ranges of duration and frequency content. Considering the change in the stiffness and the energy dissipation capacities, the performance of the existing and retrofitted buildings were evaluated in terms of story drifts and damage states. It was found that each earthquake record exhibited its own peculiarities, dictated by frequency content, duration, sequence of peaks and their amplitude. The seismic performance of retrofitted buildings resulted in lower displacements and higher energy dissipation capacity depending mainly on the properties of the ground motions and the retrofitting strategies. Moreover, severe structural damage (irreparable or collapse) was observed for the existing building. However, buildings with retrofit alternatives exhibited lower damage levels changing from no damage to irreparable damage states.     

海河流域地下水生态水位研究

针对海河流域的生态环境问题,提出海河流域地下水生态水位的概念。本文就山前平原区、中部平原区和东部滨海平原区地下水的不同特点,开发和利用现状的不同,分别提出了海河流域各地区深层和浅层的地下水生态水位,并根据海河流域地下水位现状,提出保持或恢复地下水生态水位的措施。     

亚太地区冬季海平面气压异常的偶极型结构及其与海温的关系

利用全球月平均海平面气压资料以及海表温度资料,采用旋转经验正交函数分解(REOF)、Morlet小波分析、相关分析及合成分析等方法研究了亚洲—太平洋地区(20°N～70°N,40°E～120°W)冬季海平面气压异常的空间结构与时间演变特征,并进—步分析了该地区冬季海平面气压异常与全球海温异常的关系.结果表明:亚太地区冬...     

Forecasting of groundwater level in hard rock region using artificial neural network

In hardrock terrain where seasonal streams are not perennial source of freshwater, increase in ground water exploitation has already resulted here in declining ground water levels and deteriorating its’ quality. The aquifer system has shown signs of depletion and quality contamination. Thus, to secure water for the future, water resource estimation and management has urgently become the need of the hour. In order to manage groundwater resources, it is vital to have a tool to predict the aquifer response for a given stress (abstraction and recharge). Artificial neural network (ANN) has surfaced as a proven and potential methodology to forecast the groundwater levels. In this paper, Feed-Forward Network based ANN model is used as a method to predict the groundwater levels. The models are trained with the inputs collected from field and then used as prediction tool for various scenarios of stress on aquifer. Such predictions help in developing better strategies for sustainable development of groundwater resources.     

1975-2006年西藏羊卓雍错流域内湖泊水位变化对气候变化的响应

根据1975年地形图、1988年至2006年的TM、CBERS卫星遥感资料和1962-2006年逐年平均气温、降水量、蒸发量、相对湿度、风速和日照时数等气象资料以及1974-2005年的湖泊水位水文资料,对西藏羊卓雍错及其流域内的空姆错、沉错和巴纠错等4个湖泊的水位变化以及对气候变化的响应作了分析.结果表明:该区湖泊面积在近30 a来呈缓慢下降趋势,2005年与1975年相比,分别减少了46.55 km2、1.73km2、0.03 km2、6.01 km2,减少幅度分别为7.2%、4.3%、0.1%、13.6%.其主要原因是,由于羊卓雍错的湖水主要以降水补给为主,在降水增加、气温上升的情况下由于升温引起的湖泊蒸发效应超过降水增加导致的补给影响,是湖泊面积下降的主要原因.     

海平面上升压力下厦门大学白城湾整治的探析

厦门大学白城湾为福建厦门岛南部、九龙江口外的一个小型海湾,水动力环境复杂。在海平面上升压力下,该区域的环境地质问题会进一步的突显。结合前人在此区域的研究成果,详细阐明海湾存在的环境地质问题,探讨有效合理防预整治措施,应对海平面上升而产生的影响,以期构建和谐的海湾环境。     

大规模地形实时绘制算法

该文提出一种适合大规模地形实时绘制的简单高效的LOD简化算法。该算法使用一种紧凑有效的规则网格表示方法,优化网格节点的数目,减少可视化过程中的计算量,降低额外内存开销。探讨该算法相关的数据组织、视域裁剪、LOD层次选择、裂缝消除、三角形化等关键问题。实验结果表明,该算法实现简单,内存开销较少,CPU耗费小,对图形卡要求低,能够在普通机器上实现大规模地形的实时漫游。     

似水准椭球

提出了“似水准椭球”概念,给出了“似水准椭球”的“匀质分层”、“整体纬向”和“内匀外纬”3种模式的密度分布方式。针对“似水准椭球”密度分布的合理性和稳定性问题,初步提出了求解“似水准椭球”的拉格朗日函数和哈密顿积分的设想。     

基于形态分割的高分辨率遥感影像道路提取

基于灰度形态学,提出一种从高分辨率遥感图像提取道路网络的方法.首先利用灰度形态特征对遥感影像进行分割,进而得到基本的道路网络轮廓.然后在此基础上,利用线段特征匹配方法提取道路网络.提出的方法能适应于从道路和背景区别不很清楚的遥感图像中提取道路.实验结果也表明,本文方法能有效地从遥感影像中提取道路网络.