我国部分商品粮基地土壤重金属污染的差异分析与综合评价探讨

根据1988年全国农业环境质量状况调查资料,选取我国部分商品粮基地县土壤重金属污染数据(污染指数),通过多元统计分析,揭示了各商品粮基地土壤重金属污染的差异与分类.建立模糊综合评判模型对各商品粮基地土壤污染状况进行了综合评价,得到了各商品粮基地土壤污染程度的相对排序.      

洱海富营养化时空分布模糊评价及成因对策分析

运用模糊方法对洱海富营养化时空分布进行了研究,发现洱海营养化状况从1988～1991年呈上升趋势,且其年内分布规律为冬春低、夏秋高。空间分布,则表现为南部、北部、西部、东部较相应的中部高。并对此规律的成因进行了分析,提出洱海富营养化防治对策。      

湖泊水质富营养化评价的模糊神经网络方法

为了探索人工神经网络用于湖泊营养化评价的可能性,提出了基于多准则学习的模糊神经网络湖泊水质营养化评价模型。该模型应用于我国五大主要湖泊水质营养化的评价结果表明,模糊神经网络用于湖泊水质营养化评价,具有简便、实用、客观性和广泛的通用性。      

基于AHP和模糊数学的滨海城市旅游生态环境评价——以青岛市为例

在分析青岛市旅游发展现状的基础上,选取生物多样性、旅游资源丰富度等共27个因子,构建区域旅游生态环境的评价体系,运用模糊数学方法和AHP法对各层指标进行权重计算,最后建立生态因数模型对青岛市所辖12个区市的旅游生态环境进行评价。结果表明:青岛市所辖区市可划分为四级旅游生态环境可持续发展程度类型区;在诸多评价因子中,以区域经济环境对旅游生态环境的贡献值最大,其次为生态环境各项因子。     

碧流河水库水质状况的模糊模式识别及对策讨论

提出了确定污染指标权重的新方法,运用陈守煜建立的模糊模式识别理论模型对大连市碧流河水库连续３ａ的水质进行了综合评价,并探讨了水质保护对策      

流沙湾海域水质的综合评价与分析

以流沙湾2008年4个航次水质监测数据资料为依据,选择具有代表性的9种监测指标,分别采用模糊综合评价法和模糊贴近度法进行海水水质评价比较与分析,得出流沙湾海域水质评价等级。研究结果表明,流沙湾海域冬夏季节的水环境质量差于春秋两季,其中夏季水质最差。将整年水质监测指标平均值进行综合评价,结果表明,流沙湾各站位均符合二类水质标准。以模糊贴近度法作为主要评价方法、以模糊综合评价法作为辅助评价方法进行综合评价,更有利于流沙湾海域水质的整体分析。研究结果可作为流沙湾海域水产养殖规划和整治的参考依据,为将来合理开发利用流沙湾海域提供科学依据。     

涂层大气腐蚀的模糊综合评定

此文将模糊理论应用于涂层的大气腐蚀试验,针对对比性腐蚀试验结果,提出了涂层保护性能大气腐蚀模糊综合评定方法。本法具有简捷、迅速、准确等优点。     

基于模糊数学方法的门式起重机风险评估研究

本文采用模糊数学方法对门式起重机潜在风险因素（腐蚀、裂纹、强度及变形）导致的金属结构破坏进行风险评估。从主梁和支腿两个角度出发,建立了不同金属结构风险影响因素为子系统的多层次评判系统。该方法方便了门式起重机的综合安全风险评估,为提高其安全性能提供了方向。     

Continuous performance assessment and improvement of integrated HSE and maintenance systems by multivariate analysis in gas transmission units

In this study, an integrated “Health, Safety, and Environment (HSE)” and maintenance systems are presented. Multivariate analysis is used for continuous performance assessment and improvement of these systems. The two subjects of “Maintenance System” and “HSE” have been individually investigated several times in different studies. However, few studies have been done to integrate these two systems and provide an integrated system for their implementation. This study evaluates current maintenance and HSE systems of a Gas Transmission Unit by Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA). Moreover, decision making units (DMUs) are examined and ranked. Employees are considered as DMUs. This is done through investigating and measuring their efficiencies and identifying the inefficient and less-efficient units. Since an increase in the number of inputs does not lead to an increase in the number of outputs with the same scale, an output-oriented DEA with a Variable Returns to Scale (VRS) is used. The Fuzzy DEA (FDEA) is also used in this research to decrease uncertainty existing in qualitative indicators and human error. Finally, suggestions are given to improve those DMUs. The managers and employees of the gas transmission unit constitute the statistical population of the study. To achieve the objectives of this study, standard questionnaires with respect to HSE and Maintenance system are completed by operators. The proposed approach would help policy makers and top managers of Gas Transmission Company to have a more comprehensive and thorough understanding the working conditions with respect to the maintenance and HSE features.     

Optimization of HSE in maintenance activities by integration of continuous improvement cycle and fuzzy multivariate approach: A gas refinery

Gas refineries have been continuously focusing on Health, Safety and Environment programs to improve maintenance activities. Several researches have studied on this area with different analysis methods. This study presents an integrated approach for optimization of factors contributing to the implementation of Health, Safety and Environment (HSE) in maintenance activities. HSE managers in each sector answered standard questionnaire whit respect to HES. The methodology is based on fuzzy data envelopment analysis (FDEA) and Deming's continuous improvement cycle. Also, this method is used to rank the relevant performance efficiencies in certain and uncertain conditions of each HSE sectors whit considering HSE in maintenance activities. It corresponds and integrates its registered HSE-MS with OHSAS 18001:2007 and ISO 14001:2004 to evaluate multiple inputs and outputs of over 36 subsidiary HSE divisions with parallel mission and objectives simultaneously. Also, it determines efficient target indices and could assure continuous improvement in the organization. This is the first study that introduces an integrated approach to improve HSE management programs in a gas refinery by a robust and continuous improvement approach.