Estimation of non-point source pollution loads under uncertain information

Many kinds of uncertainties are involved, such as random, fuzzy, grey, unascertained property and so on, in soil erosion process. To exactly predict the non-point source pollution loads, some uncertainties should be taken into consideration. Aiming at the deficiency of present blind number theory being helpless for fuzziness, a novel blind number, i.e. extended-blind number, was introduced by substituting a set of triangular fuzzy numbers （TFNs）, expressed as a-cuts, for interval values in present blind number, and the expected value of extended-blind number was also brought forward by referring to the current blind number theory. On the basis of denoting the parameters of Uni- versal Soil Loss Equation （USLE） as extended-blind parameters, a novel USLE model was established for quantitatively evaluating soil erosion loss and non-point source pollution loads. As a case, the uncertain USLE was employed for predicting the soil erosion loss and non-point source pollution loads of absorbed nitrogen and phosphorus in a dis- trict in the Hangbu-Fengle River basin, in the upstream of Chaohu Lake watershed. The results show that it is feasible in theory to extend blind number into fuzzy environment and reliable on conclusion to apply extended-blind number theory for predicting non-point source pollution loads.     

Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition

Water quality assessment of lakes is important to determine functional zones of water use. Considering the fuzziness during the partitioning process for lake water quality in an arid area, a multiplex model of fuzzy clustering with pattern recognition was developed by integrating transitive closure method, ISODATA algorithm in fuzzy clustering and fuzzy pattern recognition. The model was applied to partition the Ulansuhai Lake, a typical shallow lake in arid climate zone in the west part of Inner Mongolia, China and grade the condition of water quality divisions. The results showed that the partition well matched the real conditions of the lake, and the method has been proved accurate in the application.     

铁路防沙工程方案的模糊综合评价

风沙灾害是威胁沙漠铁路安全运营的主要因素,科学合理的防沙工程可减小风沙危害和保护生态环境,但目前关于铁路防沙工程的评价方法还不多见.为了对防沙工程方案进行科学合理地评价,在分析铁路防沙工程影响因素的基础上,将其划分为工程设计因素和地理环境因素,利用提取的主影响因子建立铁路防沙工程模糊综合评价模型,将指数标度法与区间标度...     

福建沿岸主要港湾水质的综合评价

本文应用灰色聚类和模糊聚类等方法对福建沿岸9个港湾的海水水质进行了定量分类评价，其结果表明各港湾的海水水质在总体上均属于第Ⅰ类，但也受到不同程度的污染，其中厦门西港和厦门东侧水道海域铜，铅等重金属污染严重；沙埕港和闽江口普遍存在着DIP、DIN污染，湄洲湾，泉州湾，东册湾，兴化湾和三都澳也有个别污染物超标。     

模糊信息论在化探异常评价中的应用

一、引言化探异常是找矿中的一个重要信息,异常的评价则是找矿信息的收集、加工、处理提取的过程。大量的化探异常究竟是矿致异常,还是非矿异常,其界线并不是十分分明的。它并非是“非此即彼”的普通信息,而是“亦此亦彼”的模糊信息。因此,笔者把模糊信息论引入到化探异常评价中来,用它对异常、铁帽、岩体等进行含矿性评价,均得到了予想的效果。但应指出,通过几个实例的验证,虽然此方法与实际情况拟合程度较高,但它还并不十分成熟,尚有待于实践过程中进一步探讨、完善。     

环境工程地质质量多级模糊综合评判的基本思想与步骤

环境工程地质质量综合评价是一个复杂的系统工程。影响质量评价的因素众多而又十分复杂,且各因素的影响程度也不相同,质量优劣的分级界线亦是模糊的。本文仅就采用多级模糊综合评判的方法,考虑多个因素的综合作用,对环境工程地质质量进行评价的基本思想途径与步骤方法,作一初步论述。此方法清晰、易用,能使更多影响质量评价的因素真实参与评判。这是一条环境工程地质质量评价由定性走向定量的有效途径,值得探索。     

BCK-代数上的(λ1,λ2)-广义模糊关联理想

给出了BCK代-数上(λ1,λ2)-广义模糊关联理想,模糊关联理想的概念并在此定义下推出了它们的一些重要性质。