Risk-Based Prioritization of Air Pollution Monitoring Using Fuzzy Synthetic Evaluation Technique

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, NO_x, PM₁₀ and SO_x 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.     

关于模糊数学在环境质量综合评判中“最大隶属度”原则不适用性的讨论

通过对模糊数学在环境质量综合评判中的分析，指出“最大隶属度”原则的不适用性，并根据环境质量分级所存在的固有关系提出改进的方法。     

Euclidean贴近度水质评价法及其应用

分析了模糊综合评判在水质评价中的缺陷,将模糊数学中的贴近度与经典的Euclidean距离结合,提出Euclidean贴近度水质评价法。结果表明,该评价方法具有科学性、合理性,并且精度高,简单实用。     

几种土壤质量评价方法的比较

分别用Ｔ值分级法，综合指数法，模糊数学综合评判法，灰色聚类法，等斜率灰色聚类法，宽域灰色聚类法对湖南某地１０个监测点的土壤质量现状进行评价，通过比较，认为宽域灰色聚类法较好。     

应用藻类的污染指数评价乌鲁木齐水体的水质

通过对乌鲁木齐地区几个水体中浮游植物的调查,根据浮游植物的群落结构、数量、优势种和污染指数来评价这些水体的水质。     

地震安全性评价工作在城市建设中的重要作用

地震安全性评价工作在城市建设中起着非常重要的作用,为工程抗震提供精确的设计依据,提供科学合理的地震动参数,提出科学合理的设防要求,能够在一定程度上避免破坏性地震造成的损失,从而达到有效减灾的目的。     

福建省森林固定CO2价值评估

借鉴国内外研究成果,引入“市场逼近系数”,构造森林固定CO2效益经济结构模型,评估福建省森林固定CO2价值,为福建省森林资源的科学管理和资产评估提供了借鉴和参考。     

Assessment of China's economic loss resulting from the degradation of agricultural land in the end of 20th century

Land degradation is a consequence stemming from both natural processes and social economic activities. On the bases of analyzing general situation of agricultural land degradation in China, the monetary estimating methods such as market value method and shadow engineering method were used to quantitatively assess the economic loss resulting from land deterioration. Results showed that the economic loss in 1999 was 326.8l billion RMB Yuan, which accounted for 4.1% of GDP in the same year of China. If taking five items namely farmland conversion, soil erosion, salinization, decline in reservoir functions, and siltation in waterways and, comparing with that in 1992, the percentage of economic loss to GDP has increased by 1.5 in the only 7 years.     

森林合理年伐量分析确定方法研究

森林合理年伐分析确定是年森林采伐限额编制的关键技术之一,也是森林经理学的重要内容之一。本文从森林永续利用理论出发,以消长比度、成熟林采伐度、龄级结构改善度、流量均衡度、需要满足度５个指标建立了分析确定的综合评价模型,提出了森林合理年伐量分析确定的精确化方法,从而有效地保证了结果的科学性和准确性。     

赋权相关分析与环境设施优化选择

在环境质量评价及环境设施优化选择过程中，客观地设计分析模型，并合理地选择权系数是问题的关键和难点。如果处理不当，将会得出与客观实际完全相反的结果。从而影响决策的准确性，造成不应有的损失。本文以灰色系统理论和层次分析法为基础，提出利用二步层次分析法确定权系数的多指标相关分析方法，并将其应用于烟气处理设施的综合性能评价之中。实例分析表明，该方法具有赋权合理、计算简便、一致性程度高、受决策者主观臆断影响小，评价结果可靠等特点。因此，该方法用于环境设施优化选择过程是可行的。