化工废水处理中关键有毒物质追踪

江苏省某化工厂废水设施的进、出水经Daphnia magna急性毒性试验，结果表明该废水在处理前、后均显示毒性。采用毒性鉴别评价(TIE，toxicity identification evaluation)的试验程序，对处理系统的进、出水进行了关键毒物的鉴别和评价。发现进水中存在的关键毒物为金属铜离子，而出水中存在的关键毒物为氨。该厂原废水毒性已基本被去除，毒性去除率为99．93％。因此，在该厂废水处理过程中金属离子尤其是铜离子已基本被去除，而氨在废水处理中的去除并不明显。     

地下水DNAPLs污染多相流的随机模拟及其不确定性分析

水文地质参数本身存在不确定性,为分析水文地质参数不确定性对地下水DNAPLs污染多相流数值模拟模型输出结果的影响,本文针对假想算例展开研究,首先建立了研究区地下水DNAPLs污染多相流数值模拟模型;然后,运用灵敏度分析法筛选对模型输出结果影响较大的参数作为随机变量;为减少反复调用多相流模拟模型产生的计算负荷,运用克里格方法建立多相流模拟模型的替代模型,利用替代模型完成蒙特卡洛随机模拟;最后,对随机模拟的结果进行统计分析并完成地下水污染风险评价.结果表明,利用污染物浓度分布函数可以估算单井遭受污染的风险;利用地下水污染风险图可以对全区地下水遭受不同程度污染的风险大小进行分区,为地下水污染防治提供更加科学、丰富的参考依据.     

喀斯特峰丛洼地泥沙堆积的137Cs示踪研究——以丫吉试验场为例

西南喀斯特地区是我国生态环境最脆弱的地区之一,土壤侵蚀及其造成的石漠化已成为制约该区可持续发展最严重的生态环境问题。但是该区的侵蚀泥沙研究基础薄弱,利用核素示踪法研究侵蚀泥沙的报道较少。本文以桂林丫吉试验场的峰丛洼地小流域为研究对象,运用137Cs示踪技术定量研究了洼地泥沙堆积速率,确定了该洼地小流域1963年以来的泥沙堆积速率。初步研究结果表明,1963~2008年的45年间,丫吉1号洼地的泥沙堆积速率和堆积模数分别为0.104cm·a-1和13.68 t·km-2·a-1。讨论了研究小流域泥沙堆积与地面土壤流失的关系,认为研究区域近几十年以来的地面水土流失相当轻微,地面土壤流失速率仅为10余t·km-2·a-1。     

基于蒙特卡罗方法的铅酸蓄电池厂土壤健康风险评价

以土壤中的风险指标(Pb,Cd,As)为研究对象,将蒙特卡罗模拟方法应用到某铅酸蓄电池厂土壤重金属的健康风险评价中,解决了土壤重金属影响人体健康风险的不确定性问题。结果表明,土壤中Pb对成人不存在非致癌风险,对儿童存在非致癌风险;土壤中Cd,As对成人、儿童都不存在致癌风险;影响Pb,Cd和As进入人体单位体重的致癌、非致癌风险水平大小的主要因素为土壤重金属浓度。研究结果在一定程度上可为铅酸蓄电池厂土壤不确定性健康风险评价提供参考依据。     

Spatially explicit sensitivity and uncertainty analysis for multicriteria-based vulnerability assessment

This research analyses the application of spatially explicit sensitivity and uncertainty analysis for GIS (Geographic Information System) multicriteria decision analysis (MCDA) within a multi-dimensional vulnerability assessment regarding flooding in the Salzach river catchment in Austria. The research methodology is based on a spatially explicit sensitivity and uncertainty analysis of GIS-CDA for an assessment of the social, economic, and environmental dimensions of vulnerability. The main objective of this research is to demonstrate how a unified approach of uncertainty and sensitivity analysis can be applied to minimise the associated uncertainty within each dimension of the vulnerability assessment. The methodology proposed for achieving this objective is composed of four main steps. The first step is computing criteria weights using the analytic hierarchy process (AHP). In the second step, Monte Carlo simulation is applied to calculate the uncertainties associated with AHP weights. In the third step, the global sensitivity analysis (GSA) is employed in the form of a model-independent method of output variance decomposition, in which the variability of the different vulnerability assessments is apportioned to every criterion weight, generating one first-order (S) and one total effect (ST) sensitivity index map per criterion weight. Finally, in the fourth step, an ordered weighted averaging method is applied to model the final vulnerability maps. The results of this research demonstrate the robustness of spatially explicit GSA for minimising the uncertainty associated with GIS-MCDA models. Based on these results, we conclude that applying the variance-based GSA enables assessment of the importance of each input factor for the results of the GIS-MCDA method, both spatially and statistically, thus allowing us to introduce and recommend GIS-based GSA as a useful methodology for minimising the uncertainty of GIS-MCDA.     

从废阴极射线管含铅玻璃中回收金属铅的研究进展

随着显像管技术的发展,我国迎来了大量阴极射线管(CRT)玻璃的报废期。废弃的CRT玻璃中含有大量的铅,属于危险废物。从国内外废CRT含铅玻璃的处理处置现状出发,归纳总结了废CRT含铅玻璃中铅的分离回收技术工艺,并分析了其特点及存在的问题。指出,未来该领域新技术的研发应同时注重4个方面:铅的回收率高,对玻璃中的其他组分能够有效利用,满足经济可行性要求,便于工业化生产。     

Endogenous formation of hydrogen cyanide during distillation for the determination of total cyanide

This paper describes how organic compounds and nitrogen compounds induce the formation of hydrogen cyanide during the distillation process. Hydrogen cyanide formation was confirmed by X‐ray diffraction. The formation scheme for hydrogen cyanide from organic compounds is proposed.     

Environmental Integrated Assessment via Monte Carlo Simulation with a Case Study of the Mid-Atlantic Region,USA

Environmental integrated assessments are often carried out via the aggregation of a set of environmental indicators. Aggregated indices derived from the same data set can differ substantially depending upon how the indicators are weighted and aggregated, which is often a subjective matter. This article presents a method of generating aggregated environmental indices in an objective manner via Monte Carlo simulation. Rankings derived from the aggregated indices within and between three Monte Carlo simulations were used to evaluate the overall environmental condition of the study area. Other insights, such as the distribution of good or bad values of indicators at a watershed and/or a subregion, were observed in the study.     

Assessment of human exposure to benzene through foods from the Belgian market

Benzene is a volatile organic compound known to be carcinogenic to humans (Group 1) and may be present in food. In the present study, 455 food samples from the Belgian market were analyzed for benzene contents and some possible sources of its occurrence in the foodstuffs were evaluated. Benzene was found above the level of detection in 58% of analyzed samples with the highest contents found in processed foods such as smoked and canned fish, and foods which contained these as ingredients (up to 76.21 μg kg⁻¹). Unprocessed foods such as raw meat, fish, and eggs contained much lower concentrations of benzene. Using the benzene concentrations in food, a quantitative dietary exposure assessment of benzene intake was conducted on a national representative sample of the Belgian population over 15 years of age. The mean benzene intake for all foods was 0.020 μg kg bw d⁻¹ according to a probabilistic analysis. These values are below the minimum risk level for oral chronic exposure to benzene (0.5 μg kg bw d⁻¹).     

Comprehensive framework for underground pipeline management with reliability and cost factors using Monte Carlo simulation

A reliability model for underground pipeline management that can quantify the trade-off between risk reduction and increased maintenance costs in various underground piping management scenarios can be useful for many pipeline-maintenance decision-makers. In this paper, we propose a comprehensive framework for analyzing underground pipeline management options. Pipeline reliability is calculated using time-dependent and independent limit state functions with a probabilistic model and a deterministic model about the frequency of a failure occurrence event. The proposed framework includes the target reliability, consequences, and cost model, and has the advantage that it can be intuitively utilized for piping management decision-making. We conducted several case studies using a Monte Carlo simulation on pipelines in industrial complexes in Korea.