开挖岩体边坡卸荷带宽度的计算方法

卸荷带的判别与计算,直接关系到岩体边坡的长期稳定性及致灾安全性.针对均质岩体边坡,采用弹性理论楔形体力学模型,提出了开挖岩体边坡力学模型,建立了开挖岩体边坡应力的计算方法;从开挖高度、开挖坡度、台阶宽度、岩体粘聚力、内摩擦角及岩体容重等方面,通过敏感性分析,探讨了开挖岩体边坡卸荷带宽度的变化规律,据此采用量纲分析法,建...     

Application of Multiattribute Decision-Making Methods for the Determination of Relative Significance Factor of Impact Categories

A relative significance factor (f _i ) of an impact category is the external weight of the impact category. The objective of this study is to propose a systematic and easy-to-use method for the determination of f _i . Multiattribute decision-making (MADM) methods including the analytical hierarchy process (AHP), the rank-order centroid method, and the fuzzy method were evaluated for this purpose. The results and practical aspects of using the three methods are compared. Each method shows the same trend, with minor differences in the value of f _i . Thus, all three methods can be applied to the determination of f _i . The rank order centroid method reduces the number of pairwise comparisons by placing the alternatives in order, although it has inherent weakness over the fuzzy method in expressing the degree of vagueness associated with assigning weights to criteria and alternatives. The rank order centroid method is considered a practical method for the determination of f _i because it is easier and simpler to use compared to the AHP and the fuzzy method.     

有机物辛醇／水分配系数的计算方法：分子碎片常数法

辛醇／水分配系数是表征有机污染物环境行为的重要参数之一，本文应用于碎片常数计算了１３０余个有机化合物的辛醇／水分配系数对数值，通过计算值与实测值的比较发现，两者之间表现出相当好的一致性，其平均绝对误差为０．１３５，此外，还探讨了该方法应用于不同类型有机污染物时需要注意的问题。     

基于24Model-D-ISM的地铁站火灾疏散影响因素研究

为预防地铁站火灾事故,深入了解地铁站火灾人员疏散影响因素间的内在联系与层次结构,基于第6版“2-4”模型(24Model)分析63起地铁站火灾疏散事故,充分考虑各个因素之间的交互作用,提取19个影响地铁站人员疏散的关键因素,建立地铁站火灾人员疏散影响因素指标体系;采用算子客观赋权法(C-OWA)改进决策试验与评价实验法(DEMATEL),确定地铁站火灾人员疏散的重要影响因素;在此基础上,采用解释结构模型(ISM)分析各个因素间的层次结构及相互作用路径,构建地铁站火灾人员疏散影响因素的多级递阶结构模型。研究结果表明：疏散引导、恐慌从众行为、人员拥挤为地铁站火灾人员疏散的关键影响因素;地铁站火灾人员疏散受表层因素、中间层因素、深层因素共同作用的影响,其中,疏散教育与培训、设施维护与检查、疏散预案等因素是根源影响因素,重视根源影响因素的改善有利于从本质上预防和控制事故的发生。     

基于多种方法的长江上游小流域水质综合评价

选取大河和巴关河流域2018—2022年水质监测数据,运用单因子评价法、Spearman秩相关系数法、综合污染指数法和主成分分析法,对流域水质状况、变化趋势及主要污染物特征进行综合评价分析。结果表明:2018—2022年,大河流域水质未达到地表水Ⅲ类标准;流域整体综合污染指数超过了1,为重污染,下游污染程度较重;营养指标和有机污染物指标存在显著正相关。巴关河流域水质达到了地表水Ⅲ类标准;流域整体综合污染指数未超过1,为中污染,上游污染程度较重;营养指标、有机污染物指标和重金属指标等均呈现出不同程度的相关性。巴关河流域水质总体优于大河流域。TP、NH₃-N、COD_Mn、COD_Cr和BOD₅是影响大河流域和巴关河流域水质的主要因子,均属于有机型及富营养化污染指标,主要来自生活源和农业源。建议选择适宜的评价方法开展系统性小流域污染溯源,分河段有针对性地开展小流域水环境治理。     

多重水质评价方法在地下水水质评价中的对比研究—以北京市朝阳区为例

目前地下水水质评价方法众多,选择合适的评价方法对地下水的管理与利用具有重要意义。以北京市朝阳区2020年枯水期采集的地下水水样检测结果为基础,利用改进的层次分析法、单因子指数法和综合污染指数法对地下水水质进行评价,并对比3种方法评价结果的准确性以及存在的不合理之处。结果表明：1）3种方法的水质评价结果差异较大,改进的层次分析法的水质评价结果最优,单因子指数法的评价结果最差,综合污染指数法的评价结果与其他方法的一致性最高;2）在进行水质评价时可优先选择综合污染指数法,单因子指数法适用于水质要求较高或超标污染物少的水体,改进的层次分析法适用于有多种污染物超标的水体;3）为进一步确定3种方法对地下水水质评价结果的准确性,将3种方法的评价结果与可靠性分析结果进行对比,发现改进的层次分析法、单因子指数法和综合污染指数法与可靠性分析的水质评价结果相同的占比分别为90.48%、42.86%、47.62%。因此,在对地下水水质进行综合评价时,可使用改进的层次分析法。

     

响应面法优化测定水体中微囊藻毒素

针对水体中低浓度微囊藻毒素(MC-RR和MC-LR)的富集、淋洗、洗脱等前处理环节,采用单因素响应面优化法探讨微囊藻毒素前处理的最佳条件.结果表明:采用体积分数为25％的甲醇水溶液能够取得最佳淋洗效果,由One Factor设计优化得到体积分数为75％的甲醇水溶液作洗脱剂,MC-RR和MC-LR最佳回收率为89.4％和...     

Evaluation of tidal marsh restoration: Comparison of selected macroinvertebrate populations on a restored impounded valley marsh and an unimpounded valley marsh within the same salt marsh system in Connecticut,USA

Macroinvertebrates were examined on an impounded valley marsh in Stonington, Connecticut, that has changed from aTypha-dominated system to one with typical salt-marsh vegetation during 13 years following the reintroduction of tidal exchange. Animal populations on this restored impounded marsh were evaluated by comparing them with populations on a nearby unimpounded valley marsh of roughly the same size. Populations of the high marsh snail,Melampus bidentatus Say, were quantitatively sampled along transects that extended from the water-marsh edge to the upland; those of the ribbed mussel,Geukensia demissa Dillwyn, were sampled in low marsh areas on transects along the banks of creeks and mosquito ditches. The occurrence of other marsh invertebrates also was documented, but their abundance was not measured. The mean density ofMelampus was 332±39.6 SE/m² on the restored impounded marsh and 712±56.0 SE/m² on the unimpounded marsh. However, since snails were larger on the restored impounded marsh, the difference in snail biomass was less pronounced than the difference in snail density. MeanMelampus biomass was 4.96±0.52 SE g dry wt/m² on the restored impounded marsh and 6.96±0.52 SE g dry wt/m² on the unimpounded marsh. On the two marshes, snail density and biomass varied in relation to plant cover and other factors. The density and biomass ofGeukensia at the edge of the marsh were comparable on the restored impounded and unimpounded marshes. Mean mussel densities ranged from 80 to 240/m² and mean mussel biomass varied from 24.8–64.8 g dry wt/m² in different low marsh areas. In contrast, below the impoundment dike, meanGeukensia density was 1100±96.4 SE/m² and meanGeukensia biomass was 303.6±33.28 SE g dry wt/m². A consideration of all available evidence leads to the conclusion that the impounded marsh is in an advanced phase of restoration.