基于指标模糊权和协调性下的地下水水质评价模型构建及应用

在地下水质量标准中,各指标权重的选择与权重的内涵存在着不确定性;同一指标的分级界点值差异显著,近似地呈现几何级数变化。基于以上这两种情况,构建基于指标模糊权和协调性下的地下水水质评价模型。应用层次分析法和专家调查9标度法确定指标的相对权重,结合贝塔系数计算出指标的模糊权重。对评价标准及待评价地下水水质监测值进行对数变换,采用距离测度法来构造隶属函数,并对其进行求余,按最大隶属原则来评判地下水质量等级。应用此模型对徐州市的重要水源地——张集地下水水质进行评价。结果表明:研究区的20个采样点水质为Ⅱ、Ⅲ级的占90%,符合饮用水的要求。与投影寻踪法的评价结果基本一致。     

不同相对分子质量的有机物对膜通量的影响

采用截留分子量分别为10、30kDa的聚醚砜膜和100kDa的聚偏氟乙烯膜对原水进行分级处理,并采用截留分子量分别为150kDa的聚偏氟乙烯膜和0.1μm的醋酸纤维素膜对出水进行膜过滤试验,研究不同相对分子质量的有机物对膜通量的影响.结果表明,虽然相对分子质量>30kDa的大分子有机物仅为总有机物的15%,但它分别引起微滤膜的通量下降86%和超滤膜通量下降54%.混凝处理可以去除相对分子质量>100kDa的有机物,这部分有机物导致通量下降40%以上.因此,尽管混凝处理仅去除10%的有机物,但改善通量的效果显著.粉末活性炭可以去除相对分子量<30kDa的小分子有机物,这部分有机物对通量下降的贡献程度甚低.因此,尽管粉末活性炭去除76%的有机物,但改善通量的效果甚微.预处理改善通量的效果并不取决于去除有机物的多少,而是取决于所去除的有机物对通量的影响大小.     

FUZZY ITERATION METHODOLOGY FOR RESERVOIR FLOOD CONTROL OPERATION1

ABSTRACT: Reservoir flood control is operated in real time so finding the optimal solution is unnecessary since it may not be practical. The key to reservoir flood control operation is quickly generating some feasible and effective alternatives and then selecting one among them. A fuzzy iteration methodology, which gives the objective weight and the relative membership degree of alternatives at the same time, is presented. Since the weight and relative membership degree are directly acquired from the recommended alternatives provided by decision makers, the results are more reasonable and realistic. Besides, the difficulty in giving weights is also avoided. With the aid of a robust and flexible decision support system, the effectiveness of decision making can be improved.     

藻细胞破碎释放有机物的特性

对含藻水及藻细胞破碎条件下水样中有机物的分子质量分布、吸光度(UV)、总有机碳(TOC)进行了研究.结果表明,含藻水及其藻体细胞破碎后水样中有机物可划分为5个分子质量群,平均分子质量分别为8785.254,4476.826,3880.367,2968.352,1522.776u;藻体细胞破碎后向水体中释放带有双键基团的有机物,随破碎时间的延长,水样UV₂₆₀值增加;藻体细胞破碎后,主要溶出平均分子质量为8785.254u的大分子有机物,使水样TOC值随破碎时间的增加而增加.     

用参评因子动态排序法评价环境综合质量

评价环境综合质量常用的方法是计算加权平均的综合指数,其中权重的确定又多用层次分析法（AHP）。设计以实际监测数据为依据计算两个参数yi1和yi2,并据此对各因子进行分类并排序,由此可定性确定各因子对环境总体污染的相对重要性,并判识环境污染中的关键因子、预警因子、趋好转的因子及可不必特别关注的因子;为定量确定各因子在综合评价中的权重,再依排序位次对其赋值,然后利用所赋之值进行因子间的两两比较以克服AHP法一般应用中因各人掌握标准有异而造成比较结果的不确定性,使权重确定完全建立在监测数据的客观基础上。此外,因环境污染状况随时空改变,若需对不同时段或不同区域的环境综合质量进行评价,给各因子赋予不变的权重显然不妥,而用上述思路和方法可依据实测值的差别对不同时段或不同区域的环境评价因子进行有根据的差异排序,然后再用AHP法定权,这就使不同时空环境质量的比较更为客观合理。     

基于云模型的高校消防安全标准化评估研究

为评估高校消防安全标准化程度,明确高校消防安全标准化体系,结合高校消防安全标准化体系的模糊性,将高校消防安全标准化等级划分为5个级别,采用黄金分割法将权重云、评价云划分成5个云模型,建立能够反映高校消防安全标准化等级模糊性的云模型。该模型运用于某高校消防安全标准化等级评估中,评估结果客观合理,实用性较强,为后续标准化提升提供了参考依据。     

基于熵权TOPSIS模型的土地利用多功能性诊断

从经济、社会和生态3个方面出发构建土地利用多功能性评价指标体系,应用熵权TOPSIS模型对江苏省近年来土地利用多功能性进行诊断分析可以优化区域土地的合理开发,提高土地利用效率,为促进区域的可持续发展提供有效依据。研究结果表明：2006~2016年江苏省土地利用综合功能经历了一般—良好的发展阶段,综合功能在不断优化;经济功能经历了较差—一般—良好—优秀—良好的发展阶段,虽然有所波动,但其依旧呈增长态势;社会功能经历了较差—一般—良好—优秀的发展阶段,呈现出持续稳步提高趋势;生态功能经历了一般—良好—一般的发展趋势,整体呈下降趋势。另外土地利用的经济功能和社会功能子目标的障碍度在逐年下降,对目前江苏省土地利用有效性起制约作用的主要是生态功能,应减少废水排放和工业固体废弃物等污染造成的生态破坏,加强水资源的保护,同时缩小城乡差距,推进城乡融合,促进土地利用过程中经济、社会和生态功能的协调发展。     

基于AHP的可听噪声影响因素权值分析

影响超高压输电线路可听噪声的因素众多,对影响可听噪声的因素进行合理分析确定其对可听噪声影响的权重是进行可听噪声预测和合理有效降低可听噪声的前提。对影响可听噪声的因素进行分析并运用层次分析法（AnalyticHierarchyProcess,AHP）对影响可听噪声的主要因素进行加权分析,以定量的形式确定影响因素的相对重要度。结果表明,应用层次分析法确定的可听噪声影响因素权重符合实际,准确性较高,为可听噪声选择主要影响因素用于预测及有效降低可听噪声提供参考依据。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

Plant steroid hormones produced under Ni stress are involved in the regulation of metal uptake and oxidative stress in Brassica juncea L

Brassinosteroids (BRs) are involved in the amelioration of various biotic and abiotic stresses. With an aim to explore the role of BRs under heavy metal stress, plants of Brassica juncea L. were grown in pots. The plants were subjected to various concentrations of Nickel metal (0.0, 0.2, 0.4 and 0.6 mM) and harvested on 60th day in order to observe the expression of these hormones. The isolated BRs from the leaves of Brassica plants characterized by GC-MS include 24-Epibrassinolide (24-EBL), Castasterone, Dolicholide and Typhasterole. The effect of isolated 24-EBL was studied on Ni metal uptake and antioxidative defense system in 60 d old plants of Brassica. It was observed that 24-EBL significantly increased the activities of stress ameliorating enzymes and lowered the metal uptake in plants. This is the first report in B. juncea L. plants showing the expression of BRs under metal treatments and effect of the isolated 24-EBL on metal uptake and in oxidative stress management.