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关于模糊综合指数与模糊向量加权记分 总被引:1,自引:0,他引:1
通过将模糊向量加权记分与模糊综合指数的计算步骤、计算内容和方法一一进行比较,证明模糊向量加权记分与模糊综合指数无本质差异。所采用的分制规定差异,只能使模糊向量加权记分所得结果更加不合理。采用模糊综合指数法,选用恰当的权重,可以克服“优劣倒置”现象。 相似文献
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用模糊线性加权变换法进行水质综合评价 总被引:1,自引:0,他引:1
满在理 《环境监测管理与技术》1990,2(2):30-35
用模糊数学方法对水质进行综合评价,已有报导.常用的方法是模糊综合评价法,当算子均匀分布在模糊关系矩阵R时,此法较准确.由于环境水质中大多数污染物浓度较低,且接近于第Ⅰ级水质标准,在对第Ⅰ级水质隶属度评估时,算子损失太多,从而影响到整个评价结果.本文应用的模糊线性加权变换法是基于模糊关系矩阵R,并综合模糊变换和线性 相似文献
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综合评判B=A。R是通过模糊矩阵R将监测参数模糊向量A变换为等级模糊向量B给A。R以不同的计算模式即可得到综合评判的不同数学模式,它们具有不同的实质,正确理解才能正确运用模式。本文将讨论、比较五种模式在环境质量评价中合理应用,同时提出综合评判结果B的应用。 相似文献
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应用模糊综合指数法对额尔齐斯河水质进行综合评价,指出额尔齐斯河水质已轻度污染,管理不善是额尔齐斯河水质下降的主要原因。 相似文献
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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。 相似文献
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采用模糊综合评价模型的最大隶属及加权平均原则对黔江城区饮用水水源地(小南海水库、城北水库和洞塘水库)水质进行评价,并将评价结果与常规单因素分析法、富营养化评价的结果作对比分析。研究表明,采用最大隶属原则评价显示3个水源地的水质基本保持在Ⅱ类以上,采用隶属度加权平均原则评价水质结果为1.47级,而单因子评价结果显示3个水源地水质结果均为Ⅲ类以上。另外,模糊综合评价结果与富营养化评价结果相一致,说明模糊综合评价模型评价结果更直观、连续。 相似文献
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模糊数学法在回顾性环境影响评价中的应用研究 总被引:5,自引:0,他引:5
应用模糊综合判别的方法,将工程对影响的多重因素进行综合分析评判,并结合胜利发电厂一期工程的大气回顾性环境影响评价对该方法实用性进行研究探讨。 相似文献
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模糊-主成分分析综合评价法在地下水水质评价中的应用 总被引:1,自引:0,他引:1
主成分分析法可以在保留数据原始信息的基础上有效地降低数据维度,从而将影响地下水质的多因子简化为几个综合因子,但对地下水的综合水质状况无法直接表达;模糊综合评价法能直接给出水体综合水质情况结论,但评价因子多为人为选取,存在较强的主观性。以辽宁思山岭矿区地下水水质现状评价为例,利用主成分分析法选取影响各断面水质的关键因子,将其作为模糊综合评价的评价因子,建立了模糊?主成分分析综合评价法的地下水水质耦合评价模型。研究结果表明,该模型能很好地体现分析因子对评价结果带来的影响,使得评价结果更科学、合理。 相似文献
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对克拉玛依石化公司炼油厂达标排放废水库水和底泥中的10种重金属做了监测与评价,研究了其重金属的分布特征。水样的综合污染指数P为0.564,表现为轻度污染,其中Fe和Hg为主要污染分担者,其他重金属处于尚清洁范围。模糊综合评价法评价结果废水库为Ⅲ类水质。底泥地累积指数评价结果表明,Hg和Cd为中度污染,Pb为轻度污染。潜在生态风险指数法评价表明,Cd的单因子生态风险指数为133.2,为较重生态风险,Hg的单因子生态风险指数为225.9,为重度生态风险。除Pb和Cr外,Cu、Zn、Ni、As和Hg都低于全国多数湖泊底泥含量。 相似文献
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A fuzzy logic approach has been developed to assess the groundwater pollution levels below agricultural fields. The data collected
for Kumluca Plain of Turkey have been utilized to develop the approach. The plain is known with its intensive agricultural
activities, which imply excessive application of fertilizers. The characteristics of the soils and underlying groundwater
for this plain were monitored during the years 1999 and 2000. Additionally, an extensive field survey related to the types
and yields of crops, fertilizer application and irrigation water was carried out. Both the soil and groundwater have exhibited
high levels of nitrogen, phosphorus and salinity with considerable spatial and temporal variations. The pollution level of
groundwater at several established stations within the plain were assessed using Fuzzy Logic. Water Pollution Index (WPI)
values are calculated by Fuzzy Logic utilizing the most significant groundwater pollutants in the area namely nitrite, nitrate
and orthophosphate together with the groundwater vulnerability to pollution. The results of the calculated WPI and the monitoring
study have yielded good agreement. WPI indicated high to moderate water pollution levels at Kumluca plain depending on factors
such as agricultural age, depth to groundwater, soil characteristics and vulnerability of groundwater to pollution. Fuzzy
Logic approach has shown to be a practical, simple and useful tool to assess groundwater pollution levels. 相似文献
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Risk-Based Prioritization of Air Pollution Monitoring Using Fuzzy Synthetic Evaluation Technique 总被引:1,自引:0,他引:1
Air pollution monitoring programs aim to monitor pollutants and their probable adverse effects at various locations over concerned area. Either sensitivity of receptors/location or concentration of pollutants is used for prioritizing the monitoring locations. The exposure-based approach prioritizes the monitoring locations based on population density and/or location sensitivity. The hazard-based approach prioritizes the monitoring locations using intensity (concentrations) of air pollutants at various locations. Exposure and hazard-based approaches focus on frequency (probability of occurrence) and potential hazard (consequence of damage), respectively. Adverse effects should be measured only if receptors are exposed to these air pollutants. The existing methods of monitoring location prioritization do not consider both factors (hazard and exposure) at a time. Towards this, a risk-based approach has been proposed which combines both factors: exposure frequency (probability of occurrence/exposure) and potential hazard (consequence).This paper discusses the use of fuzzy synthetic evaluation technique in risk computation and prioritization of air pollution monitoring locations. To demonstrate the application, common air pollutants like CO, NOx, PM10 and SOx are used as hazard parameters. Fuzzy evaluation matrices for hazard parameters are established for different locations in the area. Similarly, fuzzy evaluation matrices for exposure parameters: population density, location and population sensitivity are also developed. Subsequently, fuzzy risk is determined at these locations using fuzzy compositional rules. Finally, these locations are prioritized based on defuzzified risk (crisp value of risk, defined as risk score) and the five most important monitoring locations are identified (out of 35 potential locations). These locations differ from the existing monitoring locations. 相似文献
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城市大气采样点的模糊聚类优选方法 总被引:3,自引:0,他引:3
运用数理统计模糊聚类分析方法对各大气采样点获得的监测数据进行聚类相关分析,优选出较科学、合理且足以能反映城市大气污染水平、分布特征及时空变化规律的采样点。文中详细介绍了优选方法。 相似文献
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