基于模糊模式识别的地下水水质综合评价研究

地下水质量的优劣是影响水资源可利用性的一个重要方面,因此对地下水水质进行合理评价是水资源开发利用、保护的依据。本文根据水质评价的特殊性,就模糊模式识别模型进行了改进,将改进的模糊模式识别模型应用于江阴市地下水水质综合评价,将评价结果与基于熵权法赋权的模糊综合评价及传统模糊综合评价结果进行了对比分析。研究表明:模糊模式识别方法对地下水水质评价问题具有较高的数值稳定性和适用性,模糊模式识别法评价的水质级别趋于平均化、中间化,本文提出的模糊模式识别理论模型应用于典型案例地区地下水水质评价是有效可行的。     

基于博弈论综合权重模糊优选模型在地下水环境风险评价中的应用

地下水环境风险评价是地下水可持续利用的前提.目前,评价方法比较单一,主要为突变理论和单因素模糊理论,它们的控制变量数有限,不适用于多目标决策,同时也没有综合考虑主客观权重,评价结果不科学.本文针对以往评价方法的不足,应用基于主客观综合权重的多层多目标模糊可变优选模型评价.模型采用熵权法计算客观权重,二元对比法确定主观权重,并利用博弈论集结模型推导计算了综合权重,并以海河流域地下水环境为例进行了风险评价.计算实例表明,该模型能较好地考虑评价指标的主客观权重,适用于多层多目标评价系统.     

张集水源地水质评价研究

分别采用基于熵权法的模糊综合评判法和EPA健康风险评价法对徐州市张集水源地进行水质评价。结果表明:采用基于熵权法的模糊综合评判法对水源地水质进行评价,10个监测点中,符合Ⅰ类水质的有9个,符合Ⅱ类水质的有1个,水源地水质较好;影响水源地水质的主要污染因子是亚硝酸盐、CODMn、氟化物、砷、硝酸盐、六价铬和铅;污染物的合计危害指数呈逐年增大的趋势,但均未超过1;针对水质问题,应加强点污染源的监察力度,保证废水达标排放,对农业进行产业结构调整,减少农药化肥的使用。     

基于熵权的水质模糊综合评价

在水质评价中，权重的确定至关重要。本文利用信息论中的“熵”概念，根据各评价指标值的差异性程度来修正初始权重，建立了基于熵权的模糊综合评判模型。经实例证明，熵权较初始权重更为合理。     

基于熵权与GIS耦合的DRASTIC地下水脆弱性模糊优选评价

地下水脆弱性评价与编图是保护地下水环境工作的基础,DRASTIC模型是目前国际上最普遍应用的地下水脆弱性评价方法。在利用GIS进行地下水脆弱性评价的基础上,引进基于熵权的模糊优选评价方法,构建了基于熵权与GIS耦合的DRASTIC地下水脆弱性模糊优选评价模型。将该模型应用于黄水河流域,计算出了各评价参数的熵权和各叠加分区基于熵权的隶属度,据此将地下水脆弱性划分为高、中、低3个等级。结果表明,评价过程中避免了人为因素的干扰,更能真实地反映客观情况,为地下水脆弱性的评价提供新的思路和方法。     

熵权法在水资源与水环境评价中的研究进展

随着人口增长和经济社会的发展,水资源的供需矛盾日益增多,对水资源进行合理开发、高效利用、优化配置、全面节约、有效保护、综合治理是至关重要的新任务。熵权法是研究水资源可持续利用的重要方法,可以剔除指标体系中对评价结果贡献较小的指标,减少人为因素对于主观权重的影响,其计算结果真实准确,能够客观地反映水资源与水环境的现状,因此被广泛应用于水资源与水环境评价中,从而为水资源的高效利用及水环境的综合评价提供科学依据。本文对熵权法的由来及在水资源与水环境评价中的发展进程进行了探讨,重点对熵权法在水资源量、水资源承载力、水环境质量和水生态环境评价四个方面的应用进行了讨论和总结,并发现熵权法在水资源与水环境评价中有着良好的应用前景;同时,针对当前熵权法在水资源与水环境评价中存在的不足,提出了改进建议,为水资源与水环境评价的研究方向提供了新思路。除此之外,对熵权法的未来进行了展望：熵权法可与其他方法创新结合共同使用,构建合理全面的评价指标体系,在水资源利用发展趋势、时空格局演变等领域推广应用。     

深基坑支护方案评价的逼近理想解模型及其应用

对于深基坑支护系统方案评价提出一种新的方法,以避免主观判断的不确定性和随意性。针对传统信息系统项目评标中单纯由主观判断确定指标权重方法的不足,提出了将主观判断与客观情况相结合、定性、定量相结合的熵权法来确定指标的权重系数,进而将逼近理想解法与熵权法综合集成进行合理方案的评价。将该方法应用于深基坑支护系统方案过程评价的实践,取得了较为满意的结果。     

鄂北水资源配置工程受水区供水安全评价

基于"驱动力—压力—状态—影响—响应"模型构建了包含自然条件、生活用水压力等11个要素及19个指标的供水安全评价指标体系,以鄂北水资源利用情况与供水特征为基础,运用层次分析法-熵权法耦合得出指标权重,并采用模糊综合评价法、TOPSIS法和灰色关联分析法对研究区供水安全程度进行评价.研究结果表明2015年、2019年和2...     

潼关金矿区矿渣型泥石流熵权评价

在简述信息熵概念的基础上,对陕西潼关金矿区8条泥石流沟堆积的采矿废石量、沟谷纵坡降比等9个定量、定性调查指标进行了统计,求出各指标熵Hj、熵权Wj以及沟谷指标可能的概率值fij后,计算得出了潼关金矿区矿渣型泥石流潜势度信息熵的综合评价值;探讨了熵权评价与主观赋权评价的结果差异的原因及建议.     

水资源资产价格模糊数学综合评价指标体系构建——以黑河中游张掖市为例

针对水资源本身的模糊性和不确定性,基于模糊数学综合评价模型,从水量、水质、人口、社会经济和生态环境5个方面选取18个评价指标,结合AHP法与熵权法确定指标权重,对张掖市2010-2014年的水资源价格进行动态评价,水价计算模糊数学模型由水资源价值评价和水资源价格计算两部分组成.结果表明：采用水资源价值模糊综合指数对水资源价值进行测算,5 a间张掖市水资源模糊综合指数介于水资源价值指数的“中等”与“偏低”之间,说明张掖市水资源价值属于中等偏低;在2010-2014年5 a间水资源价格呈明显上升趋势,核算期初的2010年为2.12元·m^-3,证实了张掖市目前水资源价格偏低,水资源资产价格存在较大的上升空间,而核算期末的2014年最高达4.96元·m^-3.基于熵权与AHP相结合确定权重的水资源价格模糊数学综合评价模型,评价结果更客观合理,为下一步水资产负债表编制中水资产与负债价值核算提供数据支持.     

Application of a triangular fuzzy AHP approach for flood risk evaluation and response measures analysis

Flood risk evaluation and prediction represents an essential analytic step to coherently link flood control and disaster mitigation. The paper established a hybrid evaluation model based on fuzzy analytic hierarchy process (AHP) and triangular fuzzy number. It comprises flood risk evaluation and prediction to obtain risk factors ranking and comprehensive flood risk prediction, and then analyzed flood risk response measures. A case study is proposed entailing a flood risk evaluation and prediction in the Lower Yangtze River region. The evaluation results showed that the proposed evaluation and prediction model was capable of adequately representing the actual setting. In addition, a comparison with the previously described AHP and trapezoidal fuzzy AHP, and experimental results are encouraging, which fully demonstrates the effectiveness and superiority of the proposed model.     

基于最大熵原理和属性区间识别理论的洪水灾害风险分析

针对复杂洪水灾害系统中随机、模糊、灰色等各种不确定性,结合洪水灾害风险管理广义熵智能分析的理论框架,以最大熵原理和属性区间识别理论为基础,建立了基于最大熵原理的洪水灾害风险属性区间识别模型(AIRM-POME),利用梯形模糊数和层次分析法相结合的方法确定评价指标权重,采用均化系数综合AIRM-POME计算得到的属性测度区间,由置信度准则和特征值公式对各评价单元进行危险、易损等级的评定和排序,并根据联合国对自然灾害风险的定义及其定量表达式给出风险等级。将模型应用到荆江分洪区洪水灾害风险分析中,实例研究表明,模型合理可靠,深层次地刻画了各种不确定性,是一种风险分析新方法,可推广应用到其他自然灾害的风险分析中。     

基于指标信度测度赋权的岩溶隧道水害危险性集对云评价研究

隧道水害危险性评价是一个非线性复杂的不确定系统问题。首先,针对其评价指标参数具有不确定性、模糊性和随机性等特点,在充分考虑岩溶隧道水害危险性评价指标关联性的基础上,提出了基于Jousselme距离的指标信度测度动态赋权理论,实现不同的实例、不同的指标实测值对整个系统的动态赋权,降低实际工作中由于指标实测值误差或错误导致评价结果偏差的风险;其次,运用云理论优化集对联系度,与所得权重加权得出系统综合云联系度,并与等级评价区间期望加权平均得到危险值,同时生成对应的等级云图判定隧道水害危险性等级,进而判定岩溶隧道水害危险状态,实现水害危险等级判定的可视化;再次,基于大气降水为岩溶隧道水害主要来源的视角,选取年均降水量、入渗系数、汇水面积、渗透系数和单位涌水量5项指标作为集对云评价指标,并以6条典型岩溶隧道为样本数据进行模型检验,发现评价结果与其他方法的评价结果相吻合,证明了该模型的可靠性和有效性。最后,将模型应用于京珠高速公路媲双坳岩溶隧道水害事故中,评价结果与实际情况相符,采取与评价等级相对应的处治措施,取得了良好的水害治理效果,表明该模型具有工程实用价值,评价流程可操作性强,为岩溶隧道水害的预测和防治提供参考。      

Integrated risk assessment method of waterlog disaster in Huaihe River Basin of China

Regional waterlog disaster integrated risk system, affected by natural, social, and economic systems and its combination relationship, is a complex system with certain structure and function. Waterlog disaster integrated risk results from the combined effects of regional environment, impact factors, vulnerability, and disaster-reducing capability of flood hazards in the drainage area. Waterlog disaster integrated risk system can be divided into four subsystems of hazard, vulnerability, disaster-reducing capability, and disaster conditions. Evaluation indexes are selected using fuzzy analytic hierarchy process method, and the evaluation index system is established. Then, the waterlog disaster integrated risk evaluation model is proposed based on set pair analysis method. Taking Huaihe river in Anhui Province of China as the typical area in this study, the results show that the proposed approach is able to obtain the spatial distribution characteristics of waterlog hazard, vulnerability, mitigation capabilities, and integrated disaster risk within the study area. From the quantitative point of view, identification of the areas with high flood risk can provide a scientific basis for the flood management and technical support.

     

Comprehensive evaluation of urban flood-bearing risks based on combined compound fuzzy matter-element and entropy weight model

The extreme precipitation events caused by climate change and the rapid development of urbanization have brought hidden flood risks to the cities. This paper comprehensively considered two major factors of vulnerability of urban flood-bearing and disaster prevention and mitigation (DPAM) capacity and built a comprehensive evaluation index system for urban flood-bearing risks. Secondly, a combined model consisted of composite fuzzy matter-element and entropy weight model was constructed to calculate the comprehensive risk indicator. Finally, the Zhengzhou City was taken as an example, the comprehensive indices of urban flood-bearing risk from 2006 to 2015 were evaluated. The results showed that the comprehensive risk of Zhengzhou City was generally on a slow upward trend, from II level (moderate-risk) in 2006 to III level (secondary high-risk) in 2015, which was mainly due to the mismatch between the rapid development of urbanization and the slow improvement of DPAM capabilities. This paper is expected to provide scientific reference and technical support for urban flood disaster prevention and sponge city construction.

     

Integrated risk assessment method of waterlog disaster in Huaihe River Basin of China

Regional waterlog disaster integrated risk system, affected by natural, social, and economic systems and its combination relationship, is a complex system with certain structure and function. Waterlog disaster integrated risk results from the combined effects of regional environment, impact factors, vulnerability, and disaster-reducing capability of flood hazards in the drainage area. Waterlog disaster integrated risk system can be divided into four subsystems of hazard, vulnerability, disaster-reducing capability, and disaster conditions. Evaluation indexes are selected using fuzzy analytic hierarchy process method, and the evaluation index system is established. Then, the waterlog disaster integrated risk evaluation model is proposed based on set pair analysis method. Taking Huaihe river in Anhui Province of China as the typical area in this study, the results show that the proposed approach is able to obtain the spatial distribution characteristics of waterlog hazard, vulnerability, mitigation capabilities, and integrated disaster risk within the study area. From the quantitative point of view, identification of the areas with high flood risk can provide a scientific basis for the flood management and technical support.     

区域洪水资源利用综合风险评价

鉴于水库、蓄滞洪区以及河渠槽蓄等区域洪水资源利用方式及其防洪风险产生方面的特征,针对形成区域洪水资源利用风险的各子区及各利用措施的风险项,采用风险等级与风险度相综合的方法加以评估.依据子区和利用措施风险项与区域洪水资源利用总风险的结构关系,运用模糊评价原理和层次分析法,建立了基于风险评价模糊特征的区域洪水资源利用综合风险评价的层次结构模型,并阐述了模型的结构及其求解步骤,给出了风险等级与风险度的模糊合成计算方法以及各风险项考虑主客观因素的权重确定方法.以海河流域北三河水系的洪水资源利用风险分析为例,计算了该区域洪水资源利用的综合风险值.     

水库预蓄效益与风险控制模型

在论述水库预蓄效益与风险分析的必要性和主要困难的基础上,首先提出一种风险率的计算方法;然后提出了一种经经济效益与风险率为目标的水库预蓄水位模糊优化控制模型及其求解方法,可供汛期分斯抬地限水位或实时决策控制预蓄水位时使用,为决策者提供有依据的信息;最后通过优选丰满发电厂水库预蓄高度算例,较详细地叙述模糊优化控制模型的建立及其求解方法,说明建模及求解方法理论是严密的,计算任意便且易于推广应用。     

Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation

To deal effectively with the evaluation problem of natural disaster risk system affected by many uncertain factors, a multivariate connection number expression is presented. This expression is based on the index samples and evaluation grade criterions of natural disaster risk system and is capable of describing the hierarchy property and fuzziness of membership relationship between index samples and evaluation grade criterions. In this proposed method, the fuzzy evaluation grade criterion problem is resolved by combining triangular fuzzy numbers with multivariate connection number theory, and triangular fuzzy numbers are used to express the discrepancy degree coefficients of connection number and evaluation index weights. Accordingly, a connection number-based evaluation method for the natural disaster system of China (named CN-TFN for short) is established using triangular fuzzy numbers and stochastic simulation. The application results show that the spatial distribution of natural disaster risk grades of China has the trend of aggrandizement from west to east of China. The economically developed and densely populated coastal areas are very likely to have a high level of natural disaster risk grade or above; thus, these areas are the key regions of the natural disaster risk management of China. The results also show that the CN-TFN is able to reflect practical conditions of the evaluation problem of natural disaster system and to provide more reliability information as compared to the existing evaluation methods. This is as a result of its comprehensive usage of various information of subjective and objective uncertainties in the evaluation process of natural disaster risk system and its expression by confidence intervals. Due to the simplicity and generalization, the CN-TFM is applicable to comprehensive risk grade evaluation of various natural disaster systems.     

大牛地气田区地下水水质模糊综合评价

自20世纪20年代以来,出现了30多种水质评价的研究方法。但由于水质等级与评价因子间复杂的非线性关系,以及水体污染的模糊性和随机性,地下水水质评价至今没有一个被广泛接受的评价模型。现阶段,地理信息系统（GIS）技术被广泛应用到水质评价中,在此基础上提出了一系列新的水质评价模式和理论。文章以大牛地气田区浅层地下水为研究对象,利用ArcGIS技术,将GIS与改进的模糊综合评价模型结合,建立基于GIS的地下水水质模糊综合评价模型,并应用于研究区地下水水质评价。同时将基于GIS的模糊综合评价结果和传统的内梅罗指数法进行对比,验证新方法在地下水水质评价工作中的合理性与可靠性。结果表明:（1）大牛地气田浅层地下水水质状况总体良好,以Ⅰ类和Ⅲ类水为主,局部地区浅层地下水中氨氮超标,水质较差;（2）模糊综合评价法与GIS的有效结合,实现了地下水水质模糊综合评价的系统化和可视化;（3）相对于内梅罗指数法,基于GIS的地下水水质模糊综合评价模型综合考虑了各评价因子对水质的影响,能够更加客观、合理地评价研究区地下水水质。