基于灰色关联与模糊数学的重力式挡土墙震害评估

龙门山地区强震荷载导致大量已建边坡支挡结构严重受损,如何对震区受损挡土墙进行震害评估成为亟待解决的技术难点。本文首先通过对研究区挡土墙的震害分析,总结出其主要破坏模式包括滑移破坏、沉降破坏、倾覆破坏、墙身破坏以及越顶破坏5类。然后根据全面性、重要性以及科学性原则对影响震害评价的因子进行定性分析和分类,并结合挡墙的破坏模式,综合分析得到挡土墙安全评估的敏感性因子和一般因子。将震害范围60%作为挡墙评价的敏感性因子,而一般因子分为两级共10个指标,包括:滑移距离,沉降深度,倾斜角度,裂缝数量,裂缝长度比,开裂深度比,开裂宽度,错动距离,垮塌范围,覆盖范围。最后,采用灰色关联分析与模糊数学理论相结合的方法构建挡土墙震害评估体系,从而变事后处理为事先预防,为灾后恢复重建服务。     

基于模糊综合评判和GIS技术的矿山地质环境影响评价

蒲白矿产资源集中开采区分布于渭北黑腰带地区的蒲城和白水县,煤炭、石灰岩、铝土矿和粘土等多种矿产的持续开发,产生了各类的矿山地质环境问题,其中煤矿采空区塌陷及裂缝最为突出。选取了地形相对高差、岩土体特征、开采方式、有效深厚比、采空区面积比、矿山地质灾害发育密度、地下水位、压占破坏土地资源等11个指标作为评价因子,构建了矿山地质环境影响评价指标体系。采用模糊综合评判法对研究区矿山地质环境影响进行评价,并结合GIS空间分析技术划分为矿山地质环境影响严重区12个,较严重区4个,较轻区2个。评价结果与实际调查情况较为相近,较客观的反映了采矿活动对矿山地质环境的影响,并结合区内实际提出了矿山地质环境恢复治理措施建议,为矿山地质环境保护与恢复治理提供了依据。     

南海海上搜救困难性评价

为保障船舶海上航行安全,结合GIS与模糊层次分析法,从海上搜救的自然环境和人文搜救力量2个方面选取9个因子建立海上搜救困难性评价模型,对南海海上搜救困难性进行评价。结果表明：1）自然环境影响下,南海海域搜救困难性具有“V”字形分布的特点,由东北向西南难度等级逐渐降低。2）在人文搜救力量影响下,南海海域的搜救困难性整体呈“东北－西南条带式”,难度最大的区域主要位于南海东北―西南的连线上,呈不规则环状向连线两侧递减。3）综合两方面因素,南海部分岛屿周围搜救难度偏高,主要受台风等恶劣天气及远离搜救基地的影响,而远海海域搜救难度在整体上为“东北－西南递减式”空间分布格局,最高和较高的区域由研究区东北延伸至西南,然后向西北、东南两侧递减。总体而言,南海研究区中近21.1%的海域搜救难度≥7级,仍需加强对搜救力量的部署与建设。     

FCM聚类算法协同Canny算子的遥感影像边缘检测方法

提出一种FCM聚类算法协同Canny算子的遥感影像边缘检测方法,算法采用中值滤波消除原始遥感影像中的非高斯噪声;采用FCM(Fuzzy C-mean)聚类算法将滤波处理后的遥感影像中的像素分为两类:边缘类像素和非边缘类像素,并得到聚类影像;最后采用Canny算子对聚类影像进行边缘检测得到遥感影像地物边缘信息。实验结果表明,文中提出的方法能有效消除遥感影像中的混合噪声并准确地检测出地物目标的边缘,是一种有效的遥感影像边缘检测方法。     

Stage‐discharge uncertainty derived with a non‐stationary rating curve in the Choluteca River,Honduras

Uncertainty in discharge data must be critically assessed before data can be used in, e.g. water resources estimation or hydrological modelling. In the alluvial Choluteca River in Honduras, the river‐bed characteristics change over time as fill, scour and other processes occur in the channel, leading to a non‐stationary stage‐discharge relationship and difficulties in deriving consistent rating curves. Few studies have investigated the uncertainties related to non‐stationarity in the stage‐discharge relationship. We calculated discharge and the associated uncertainty with a weighted fuzzy regression of rating curves applied within a moving time window, based on estimated uncertainties in the observed rating data. An 18‐year‐long dataset with unusually frequent ratings (1268 in total) was the basis of this study. A large temporal variability in the stage‐discharge relationship was found especially for low flows. The time‐variable rating curve resulted in discharge estimate differences of ? 60 to + 90% for low flows and ± 20% for medium to high flows when compared to a constant rating curve. The final estimated uncertainty in discharge was substantial and the uncertainty limits varied between ? 43 to + 73% of the best discharge estimate. Copyright © 2010 John Wiley & Sons, Ltd.     

Fuzzy logic model approaches to daily pan evaporation estimation in western Turkey / Estimation de l’évaporation journalière du bac dans l’Ouest de la Turquie par des modèles à base de logique floue

Abstract

Abstract Evaporation is one of the fundamental elements in the hydrological cycle, which affects the yield of river basins, the capacity of reservoirs, the consumptive use of water by crops and the yield of underground supplies. In general, there are two approaches in the evaporation estimation, namely, direct and indirect. The indirect methods such as the Penman and Priestley-Taylor methods are based on meteorological variables, whereas the direct methods include the class A pan evaporation measurement as well as others such as class GGI-3000 pan and class U pan. The major difficulty in using a class A pan for the direct measurements arises because of the subsequent application of coefficients based on the measurements from a small tank to large bodies of open water. Such difficulties can be accommodated by fuzzy logic reasoning and models as alternative approaches to classical evaporation estimation formulations were applied to Lake Egirdir in the western part of Turkey. This study has three objectives: to develop fuzzy models for daily pan evaporation estimation from measured meteorological data, to compare the fuzzy models with the widely-used Penman method, and finally to evaluate the potential of fuzzy models in such applications. Among the measured meteorological variables used to implement the models of daily pan evaporation prediction are the daily observations of air and water temperatures, sunshine hours, solar radiation, air pressure, relative humidity and wind speed. Comparison of the classical and fuzzy logic models shows a better agreement between the fuzzy model estimations and measurements of daily pan evaporation than the Penman method.     

GRA——FAHP模型的煤层底板突水危险性评价

矿井水害一直是制约我国煤炭安全生产的重要隐患之一,对其进行准确的预测评价具有十分重要的理论意义和实用价值。本文根据煤层底板突水各影响因素之间的关系是灰色关系并且具有非线性特征的特点,建立了定量与定性指标为一体的煤层底板突水评价指标体系及等级划分标准。同时将灰色关联分析法(GRA)和模糊层次分析法(FAHP)相结合。构建了能真实反映影响因素与底板突水之间灰色关系和非线性关系的底板突水危险性评价模型,并应用模型对某典型工作面突水危险性等级进行了评价,可为今后煤层底板突水预测评价的研究提供一定的借鉴和依据。     

改进的模糊聚类遥感影像分割

聚类是数据挖掘的重要分支之一,引入模糊理论的模糊聚类分析为显示数据提供了模糊处理能力,在许多领域被广泛应用。本文应用考虑邻域关系的约束模糊C均值(Fuzzy C-Means with Constrains,FCM_S)算法,将邻域像素引入到目标函数中,进而有效地利用邻域像素信息,提高分割精度。本文应用FCM_S算法对模拟彩色纹理图像进行分割,计算其混淆矩阵,定性定量地与FCM算法进行对比分析,证明了该算法的鲁棒性。     

中国典型旅游城市人居环境适宜度空间分异研究

运用模糊层次分析法,在中国101个拥有5个3A及以上旅游景区的城市中选取30个城市为研究对象。通过建立人居环境适宜度指标体系,运用熵值法计算得出30个典型旅游城市经济环境适宜度、生态环境适宜度、气候环境适宜度、服务环境适宜度和人居环境适宜度综合得分,并对典型旅游城市的人居环境适宜度进行排序和分析。结果显示:北京和上海在人居环境适宜度得分排名前两位且优势明显;长三角地区城市(苏州、杭州、南京等)人居环境适宜度综合排名与典型旅游城市综合排名差距不大且大部分排名前15,是城市人居环境与旅游资源协调发展的典范;沿海城市(大连、青岛、厦门等)和传统旅游城市(桂林、昆明、黄山)由于旅游季节单一等原因造成城市旅游综合指数得分的排名不高,但人居环境适宜度得分较高,优势主要体现在气候环境适宜度、生态环境适宜度和服务环境适宜度;以人文景观为主的旅游城市(西安、洛阳等)人居环境适宜度排名普遍不高;重庆、广州在典型旅游城市中排名靠前,但城市人居环境适宜度得分较低,此类城市在做好旅游发展的同时应注重城市生态、服务等方面的发展。