视距测量方法的改进

在视距测量中．本文应用上、下视距丝与中丝所夹视角均为17′11″这一原理，证得：上、中、下三丝读数与坚盘读数之间存在着一个多余观测；去除中丝读数同样能求得测站点与碎部点间的平距及高差，且不影响结果的精确性。碎部测量时，对每个碎部点就从根本上减少了一个观测要素。实践证实：此法可节省约15％的碎部测量时间.     

高分辨区域输送模式中不同输送格式的对比试验

本文对两种输送格式在理论试验的基础上，引入19层高分辨区域输送模式EM3，由中尺度模式（MM4)提供实例输送风场，积分至13、18、30、50、70小时，作分析和对比数值试验。采用的两种格式是:二阶动量矩守恒的Prather格式（以下简称为SOM)及通量订正的Smolar格式。数值试验结果表明，高精度的SOM格式使数值扩散减小一个量级， 使输送物质（SO#-[2])中心浓度比Smolar格式增大3～4倍， 采用SOM格式还明显改进了浓度中心水平平均运动轨迹的模拟精度，选择高精度的平流格式是改进模拟结果的重要途径。     

重磁异常的人机联作校正－迭代反演

本文提出了三度体重磁异常的人机联作校正－迭代反演方法。该方法用二度半组合多边形棱柱体来逼近三度体，从而把三度体重磁异常反演问题转化为二度半体的反演问题；为了消除组合体迭加场的影响，该方法采用了一种校正－迭代技术。理论模型反演计算表明，该方法实际可行。     

地图数字化中基于点位坐标的统一平差模型

探讨了地图数字化过程中采用平差方法来建立坐标计算的统一模型。将测得的角度、边长等数据化为方向、距离观测值列立误差方程，通过调用统一的平差迭代计算程序来计算未知点坐标及精度。详细给出了基于平差的11种常用坐标计算方法，并通过实例进行了说明。     

单纯形—模拟退火混合算法反求水文地质参数及其并行求解

本文利用单纯形法局部搜索速度快和模拟退火算法全局寻优的特点,同时为了克服各自算法的弊病,提出采用单纯形—模拟退火混合算法(SMSA)进行水文地质逆问题的求解。论文详细描述了SMSA算法的具体操作算子的实现,并将该算法应用于一个大型水源地的地下水模拟反演。计算结果表明,SMSA算法在水文地质参数反演计算具有求解速度快,精度高的特点,而且易于实现并行运算。     

单纯形一模拟退火混合算法反求水文地质参数及其并行求解

本文利用单纯形法局部搜索速度快和模拟退火算法全局寻优的特点，同时为了克服各自算法的弊病，提出采用单纯形一模拟退火混合算法（SMSA）进行水文地质逆问题的求解。论文详细描述了SMSA算法的具体操作算子的实现，并将该算法应用于一个大型水源地的地下水模拟反演。计算结果表明，SMSA算法在水文地质参数反演计算具有求解速度快，精度高的特点，而且易于实现并行运算。     

A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling

During the last 50 years, the management of agroecosystems has been undergoing major changes to meet the growing demand for food, timber, fibre and fuel. As a result of this intensified use, the ecological status of many agroecosystems has been severely deteriorated. Modeling the behavior of agroecosystems is, therefore, of great help since it allows the definition of management strategies that maximize (crop) production while minimizing the environmental impacts. Remote sensing can support such modeling by offering information on the spatial and temporal variation of important canopy state variables which would be very difficult to obtain otherwise.In this paper, we present an overview of different methods that can be used to derive biophysical and biochemical canopy state variables from optical remote sensing data in the VNIR-SWIR regions. The overview is based on an extensive literature review where both statistical–empirical and physically based methods are discussed. Subsequently, the prevailing techniques of assimilating remote sensing data into agroecosystem models are outlined. The increasing complexity of data assimilation methods and of models describing agroecosystem functioning has significantly increased computational demands. For this reason, we include a short section on the potential of parallel processing to deal with the complex and computationally intensive algorithms described in the preceding sections.The studied literature reveals that many valuable techniques have been developed both for the retrieval of canopy state variables from reflective remote sensing data as for assimilating the retrieved variables in agroecosystem models. However, for agroecosystem modeling and remote sensing data assimilation to be commonly employed on a global operational basis, emphasis will have to be put on bridging the mismatch between data availability and accuracy on one hand, and model and user requirements on the other. This could be achieved by integrating imagery with different spatial, temporal, spectral, and angular resolutions, and the fusion of optical data with data of different origin, such as LIDAR and radar/microwave.     

Airborne gravimetry used in precise geoid computations by ring integration

Two detailed geoids have been computed in the region of North Jutland. The first computation used marine data in the offshore areas. For the second computation the marine data set was replaced by the sparser airborne gravity data resulting from the AGMASCO campaign of September 1996. The results of comparisons of the geoid heights at on-shore geometric control showed that the geoid heights computed from the airborne gravity data matched in precision those computed using the marine data, supporting the view that airborne techniques have enormous potential for mapping those unsurveyed areas between the land-based data and the off-shore marine or altimetrically derived data. Received: 7 July 1997 / Accepted: 22 April 1998     

Some fine-grained sedimentation phenomena in caves

Fine-grained sedimentation in caves often occurs by the parallel accretion of laminations upon the underlying bedforms. These laminations show remarkable persistence in unit thickness and grain size in a down-passage direction. A translatory flow mechanism ofdeposition is postulated which results in the rhythmic pulsing of sediment-laden water into subterranean lakes in response to variations in surface climate. The sediments are pulsed into standing water via multiple inputs, often resulting in coarser sediment being deposited on steeper slopes than on more gentle slopes. The final extension of this sediment input is the complete filling of the cave passage to the roof. The problem of sediment stability on steep slopes remains an unanswered anomaly.