贺庄橡胶坝工程建设综合后评价

构建了橡胶坝工程建设综合后评价的指标体系,建立了合理的后评价数学模型,并以贺庄橡胶坝工程建设为实例,应用多目标模糊层次分析法对其进行了综合后评价.该方法将定性指标数量化及各项指标的无量纲化,使定性指标和定量指标有机的结合起来,从而更准确、直观地反映橡胶坝建设项目的成功度,对实际的橡胶坝工程后评价有一定实用价值.     

模糊线性优化在厦门湾水体总磷环境容量计算中的应用

在应用POM模型进行厦门湾水动力、污染物扩散和各排污口响应系数场模拟研究的基础上,采用最优化法对厦门湾水体总磷环境容量进行计算.根据厦门湾海区特征和使用功能,将厦门湾划分成5个海区,分别在5个海区选取水质控制点.分别以各海区水质控制点总磷浓度作为约束条件,运用普通优化和模糊优化对厦门湾内22个排污口源强进行优化设计.分析结果表明,基于模糊线性优化方法进行排污口源强优化设计和环境容量计算可以实现排污口源强再分配,且能够更充分地利用厦门湾的纳污能力.     

区域气候变化适应度评价——以咸阳市为例

选取经济、农业、社会和资源环境系统作为区域气候变化适应度的评价子系统,运用AHP分析法,确定各评价因子的权重,运用模糊综合评判分析法,确定对气候变化适应的隶属度并判断适应度。结果表明,咸阳市1998-2007年对气候变化适应的隶属度呈逐年增加趋势,适应度处于由"较弱"向"一般"过渡状态,区域整体及各子系统对气候变化的适应处于低水平状态。其中经济系统适应度由"弱"到"强",受不利因素影响程度小;农业系统适应度由"弱"到"一般",受不利因素影响程度较大;社会系统适应度由"较弱"到"较强";资源环境系统适应度由"弱"到"一般",受不利因素的影响程度较大,稳定性差。     

基于GIS的略阳县地质环境质量评价

基于地理信息系统(GIS)和多级模糊模式识别模型,建立了略阳县空间数据库和地质环境质量评价模型;综合考虑地形坡度、工程地质岩组、岩土体结构类型、地下水位、植被发育情况、月平均降雨量、人类工程活动强度等因素,用层次分析法确定各指标权值,应用评价模型对略阳县地质环境质量进行了综合评价,把略阳县地质环境划分为优、良、中、差4个质量级别。     

Analytical Solutions of Love Numbers for a Hydrostatic Ellipsoidal Incompressible Homogeneous Earth

Tidal forces acting on the Earth cause deformations and mass redistribution inside the planet involving surface motions and variation in the gravity field, which may be observed in geodetic experiments. Because for space geodesy it is now necessary to achieve the mm level in tidal displacements, we take into account the hydrostatic flattening of the Earth in the computation of the elasto-gravitational deformations. Analytical solutions are derived for the semi-diurnal tides on a slightly elliptical homogeneous incompressible elastic model. That simple analytical Earth’s model is not a realistic representation of any real planet, but it is useful to understand the physics of the problem and also to check numerical procedures. We rediscover and discuss the Love’s solutions and obtain new analytical solutions for the tangential displacement. We extend these analytical results to some geodetic responses of the Earth to tidal forces such as the perturbation of the surface gravity field, the tilt and the deviation of the vertical with reference to the Earth’s axis.     

基于模糊集的数量属性关联规则方法的研究

根据模糊集原理,提出了一种数量型数据挖掘关联规则的方法,并通过试验证明了算法的合理性.     

The strategy of building a flood forecast model by neuro‐fuzzy network

A methodology is proposed for constructing a flood forecast model using the adaptive neuro‐fuzzy inference system (ANFIS). This is based on a self‐organizing rule‐base generator, a feedforward network, and fuzzy control arithmetic. Given the rainfall‐runoff patterns, ANFIS could systematically and effectively construct flood forecast models. The precipitation and flow data sets of the Choshui River in central Taiwan are analysed to identify the useful input variables and then the forecasting model can be self‐constructed through ANFIS. The analysis results suggest that the persistent effect and upstream flow information are the key effects for modelling the flood forecast, and the watershed's average rainfall provides further information and enhances the accuracy of the model performance. For the purpose of comparison, the commonly used back‐propagation neural network (BPNN) is also examined. The forecast results demonstrate that ANFIS is superior to the BPNN, and ANFIS can effectively and reliably construct an accurate flood forecast model. Copyright © 2005 John Wiley & Sons, Ltd.     

River suspended sediment modelling using a fuzzy logic approach

Correct estimation of sediment volume carried by a river is very important for many water resources projects. Conventional sediment rating curves, however, are not able to provide sufficiently accurate results. In this paper, a fuzzy logic approach is proposed to estimate suspended sediment concentration from streamflow. This study provides forecasting benchmarks for sediment concentration prediction in the form of a numerical and graphical comparison between fuzzy and rating‐curve models. Benchmarking was based on a 5‐year period of continuous streamflow and sediment concentration data of Quebrada Blanca Station operated by the United States Geological Survey. The benchmark results showed that the fuzzy model was able to produce much better results than rating‐curve models. The fuzzy model proposed in the study is site specific and does not simulate the hysteresis effects. Copyright © 2006 John Wiley & Sons, Ltd.     

Counterpropagation fuzzy–neural network for streamflow reconstruction

This study combines neural networks and fuzzy arithmetic to present a counterpropagation fuzzy–neural network (CFNN) for streamflow reconstruction. The CFNN has a rule‐based control, a modified self‐organizing counterpropagation network, and a fuzzy control predictor. It can generate rules automatically by increasing the training data to improve the accuracy of streamflow reconstruction. The CFNN establishes the input and output relationship of a watershed without set‐up parameters. The parameters are estimated systematically by the approach converging to an optimal solution. One sequence of data generated by the Monte Carlo method is used to demonstrate the accuracy of the CFNN. The streamflow data of the Da‐chia River, in central Taiwan, is also used to evaluate the performances of the CFNN. The results indicate the reliability and accuracy of the CFNN for streamflow reconstruction. Copyright © 2001 John Wiley & Sons, Ltd.     

模糊综合评判法在济源城区水质污染程度评价中的应用

本文用模糊数学方法对河南济源城区地下水水质污染程度进行了综合评价。文中以三个标准和四个级别、线段函数和折线法作为确定隶属函数的基础,然后采用统一基本权重和具体样本附加权重相组合并经归一化处理而求得实际权重。继之,选用“∨·∧”、“×·+”两种模型的算子进行综合评判。整个评判过程均在微机上实现。评判结果清楚地反映出了该地区的污染程度。文中,笔者结合该区自然条件及水文地质条件,分析了各种级别水的成因,并对该区今后的污染治理提出了指导性的意见。