有机膨润土吸附水中萘胺、萘酚的性能及其应用

膜的反冲洗是膜生物反应器中常用的一种防止膜污染，提高透水率及透水率稳定性的技术。本通过数学推导与实验得到一个最佳反冲洗周期测定公式     

工业企业噪声环境影响评价中的布点与预测时段的选择

在工业企业噪声环境影响评价中，由于测点与测量时段选择的不妥，导致测量及预测值“以偏代全”的结果；本文提出了测点合理布设与测量，预测时段科学选择的原则，以使测量与预测结果能较好地符合项目建成前、后噪声环境实际状况。     

应用蝶啶荧光分析法推断巨尾阿丽蝇成虫日龄

为探明蝶啶荧光分析法在尸食性蝇类成虫日龄推断中的应用潜力,采用荧光分光光度计对4种恒温和自然变温下巨尾阿丽蝇(Aldrichina grahami)雌雄成虫头壳蝶啶含量与日龄的关系进行了研究.结果表明,性别、温度和日龄对成虫蝶啶含量均有显著影响,其中日龄为最主要的影响因子.在16℃、20℃、24℃和28℃下,雌雄成虫头壳蝶啶含量与日龄均呈显著的线性关系(P<0.01,R2>0.90).蝶啶积累速率与温度也呈显著的线性关系.应用蝶啶荧光分析法对自然变温下巨尾阿丽蝇雌雄成虫日龄的估计表明,估计日龄与实际日龄呈显著的线性关系,其中雌成虫日龄估计误差平均为2.68d,雄成虫为±1.56d.以上研究结果表明,蝶啶荧光分析法在巨尾阿丽蝇成虫尤其是雄成虫日龄的推断中具有较大的应用价值.图4表2参19     

基于CRITIC-有限区间云模型的边坡稳定性评价

针对岩质边坡危险性分级的不确定性,选取坡高、坡角岩体结构特征、岩石单轴抗压强度等12项定量评价指标构建评价体系。根据有限区间云模型的相关概念和计算模型,求出露天采场边坡实测数据的云模型特征参数,利用正向云发生器生成云滴图进行量性概念的转化,通过改进的CRITIC法确定指标权重,进而求出不同采场隶属于不同危险等级的综合隶属度,实现边坡稳定性等级的划分。研究结果表明:评价结果与实际相符,利用CRITIC算法求取的权重值,可以考虑各评价指标的综合信息量以及指标间的相关性系数,使评判结果更具有准确性;同时可以快速准确判断出边坡稳定性分级,进行安全预测,为评价边坡的稳定性提供了新思路。     

基于区间概率优势决策模型的滑坡治理方案优选研究

滑坡灾害治理初步设计阶段的方案优选和科学处置,对于避免或减少生命财产损失具有重要的科学和工程意义。针对滑坡治理决策指标信息属性的复杂性、区间性与不确定性等特征,首先借鉴博弈决策论的Minimax算法优化思路,结合概率优势关系及粗糙集相关理论,提出滑坡灾害治理方案优选的区间概率优势关系决策模型,该模型考虑治理方案与理想方案之间的优势度及其属性值的概率测度,与方案属性值大小之间存在着等价关系;然后利用属性值优势关系求得权重量化值,同时基于离差最大化算法和推论2对治理方案进行排序和反演;最后通过工程案例仿真模拟进行验证。研究结果表明:优选方案可为滑坡工程项目治理提供借鉴和参考。     

基于区间直觉模糊信息TODM法的水利工程应急决策研究

为更合理地进行应急方案比选,减少不确定因素和决策者偏好对决策结果的影响,构造了1种更加适应水利工程应急决策的模型。针对应急决策环境的模糊性和不确定性,引入区间直觉模糊集表达评价信息,采用区间直觉模糊熵计算各指标权重;通过构造备选方案两两比较矩阵,运用区间直觉模糊距离测度公式计算方案间的损益值;结合TODIM法计算各方案相对占优度并进行比较排序,确定最优方案。研究结果表明:在损失规避系数确定的前提下,选择任一区间直觉模糊距离公式都不影响方案的优劣排序,决策模型具有一定的可靠性和稳定性。     

中小城市空气环境指标的多角度分析研究——以楚雄市为例

文章根据楚雄市空气污染数据,采用统计的方法从不同的角度探求中小城市空气污染指标的变化规律,并求出三种污染物的同时置信区间及它们之间的关联性。结果表明:楚雄市的空气污染主要由SO2造成,室外空气质量能达到一类地区的水平,三种污染物之间两两相关性较弱,但整体相关性较强,同时根据结论提出了相应的建议。     

湿式文丘里除尘工艺改进的应用研究

通过对湖北田力实业股份有限公司麻石(文丘里)水膜除尘工艺在沸腾炉烟气除尘中存在的问题进行研究和分析,对(文丘里)水膜除尘工艺进行了改进。采用加装U型布水装置和采取间歇性用水冲刷灰垢的措施,解决了烟道内壁水、气界面处的结垢问题,替换了人工除垢,且烟尘排放浓度达到了环保要求,其回收的烟尘通过外销又取得了经济效益。     

Interval-parameter Fuzzy-stochastic Semi-infinite Mixed-integer Linear Programming for Waste Management under Uncertainty

An interval-parameter fuzzy-stochastic semi-infinite mixed-integer linear programming (IFSSIP) method is developed for waste management under uncertainties. The IFSSIP method integrates the fuzzy programming, chance-constrained programming, integer programming and interval semi-infinite programming within a general optimization framework. The model is applied to a waste management system with three disposal facilities, three municipalities, and three periods. Compared with the previous methods, IFSSIP have two major advantages. One is that it can help generate solutions for the stable ranges of the decision variables and objective function value under fuzzy satisfaction degree and different levels of probability of violating constraints, which are informative and flexible for solution users to interpret/justify. The other is that IFSSIP can not only handle uncertainties through constructing fuzzy and random parameter, but also reflect dynamic features of the system conditions through interval function of time over the planning horizon. By comparing IFSSIP with interval-parameter mixed-integer linear semi-infinite programming and parametric programming, the IFSSIP method is more reasonable than others.     

An Inexact Fuzzy-robust Two-stage Programming Model for Managing Sulfur Dioxide Abatement Under Uncertainty

In this study, an inexact fuzzy-robust two-stage programming (IFRTSP) method is developed for tackling multiple forms of uncertainties that can be expressed as discrete intervals, probabilistic distributions and/or fuzzy membership functions. The model can reflect economic penalties of corrective measures against any infeasibilities arising due to a particular realization of system uncertainties. Moreover, the fuzzy decision space can be delimited into a more robust one with the uncertainties being specified through dimensional enlargement of the original fuzzy constraints. A management problem in terms of regional air pollution control has been studied to illustrate the applicability of the proposed approach. Results indicate that useful solutions for planning the air quality management practices have been generated. They can help decision makers identify desired pollution-abatement strategy with minimized system cost and maximized environmental efficiency.