行运算和二维数字滤波技术在钻孔电磁波层析成像中的应用

本文给出一种适用于现场实时处理的钻孔电磁波层析成像方法。该方法的特点是:(1)利用行运算(Row-Ation)技术,使得层析处理在仅有640K容量的DOS环境下也能运行自如；(2)反演过程中,采用直方图增强技术对灰度图进行后处理,提高信噪比和分辨率,改善了图像的质量。所设计的层析处理软件包在模型反演和野外实际资料处理中得到了比较满意的结果。     

气候变化对澜沧江下游梯级电站发电及生态调度的影响

近年来伴随气候变化地表径流呈极端化分布，为水电生态调度带来了挑战。为探究气候变化对电站发电和生态调度的影响、发电和生态目标间协调关系对气候变化的响应，以澜沧江下游梯级电站为例，结合多模式多情景未来径流预估结果及水库发电调度模型，针对发电及生态效益目标实施了单/多目标最优化。结果表明：在气候变化影响下，未来澜沧江径流总量将有所增加，水文变率将显著增强，河道生态所受影响也将增大；电站发电保证率及生态流量破坏率指标受不同调度方案的影响程度较气候变化影响更高，未来发电和生态效益的冲突依然存在；气候变化导致的水文变率增强可加剧发电与生态效益间的冲突，导致保持现有发电效益的同时增大对河道生态的影响。     

Basinwide flood control system by combining prediction and reservoir operation

Japan has traditionally performed flood prevention through the construction and use of dikes, storage reservoirs, and basins which are costly and time consuming options. Another non-structural option is to operate the flood control system appropriately with a view to reducing flood damage. In this paper, a flood control system combining the runoff prediction model in the whole river basin with the reservoir operation is discussed. Different models of the runoff process are introduced in order to compare their accuracies and the computational time for the flood forecasting system. The reservoir operational rule is formulated in terms of fuzzy inference theory. Historical data are applied in a case study for verification of the proposed theories.     

一种新的坐标变换方法

提出了一种基于矢量运算的新的坐标变换方法，该方法具有不需要计算转换系数矩阵、可逆的特点。利用标志点进行验证的结果表明，该方法正确可行。     

广西人工影响天气作业空域报批系统

介绍广西人工影响天气作业空域报批系统的总体结构及各子系统的功能。     

中国地级煤炭城市经济运行机制及路径分析

建立指标评价体系，采用多种定量方法，对中国地级煤炭城市经济运行机制和路径进行了分析比较。研究显示：①资金投入产出转换能力因子、从业人员投入与城市基础设施保障因子和城市职能与城市环境改善因子是地级煤炭城市经济运行的三大宏观机制，且它们的贡献度依次降低，由此得出11项重点控制指标。②地级煤炭城市经济运行总体水平并不太高，且呈现不平衡的发展趋势，其演进有着独特的劣化顺序。     

Deriving reservoir operational strategies considering water quantity and quality objectives by stochastic fuzzy neural networks

By taking advantage of the close relationship between quality and quantity of water, we investigated the potential improvements of the in-reservoir water quality through the optimization of reservoir operational strategies. However, the few available techniques for optimization of reservoir operational strategies present some limitations, such as restrictions on the number of state/decision variables, the impossibility considering stochastic characteristics and difficulties for considering simulation/prediction models. One technique which presents great potential for overcoming some of these limitations is applied here and investigated for the first time in such complex system. The method, named stochastic fuzzy neural network (SFNN), can be defined as a fuzzy neural network (FNN) model stochastically trained by a genetic algorithm (GA) based model to yield a quasi optimal solution. The term “stochastically trained” refers to the introduction of a new loop within the training process which accounts for the stochastic variable of the system and its probabilities of occurrence. The SFNN was successfully applied to the optimization of the monthly operational strategies considering maximum water utilization and improvements on water quality simultaneous. Results showed the potential improvements on the water quality through means of hydraulic control.     

改进微粒群算法在梯级电站长期优化调度中的应用

微粒群算法是一种简洁高效的智能优化算法，但基本算法容易陷入局部最优，并且搜索精度不高。本文在基本算法的基础上引入锦标赛选择机制和自适应惯性权重因子，提出了改进微粒群算法（MPSO）。将MPSO算法应用到黄河上游梯级电站的长期调度中，并与动态规划法和基本算法的调度结果相比较。实例表明了MPSO算法的有效性和可靠性，从而为梯级电站水库（群）长期优化调度提供了一种新的、有效的优化方法。     

大同国家基准站双轨运行数据浅析

应用相关系数分析了大同国家基准站2003年-2005年自动站和人工站各气象要素的相关性，尝试探讨了二者相互对比的差异。分析的目的是为了使国家基准站在长期、连续的观测中获取更准确、更及时、更有效的地面气象观测资料。