基于电絮凝法处理矿区高浓度含氟地下水动力学分析

采用铝电极电絮凝体系对矿区高含氟地下水进行处理,研究了高氟浓度下电絮凝除氟过程,分别考察了电流密度、极板间距、进水氟质量浓度及pH对除氟效果和动力学常数的影响,并建立了电絮凝除氟动力学方程模型。结果表明：最佳除氟参数为电流密度为450 A·m⁻³,极间距为5 mm,pH为6.0~7.0;当进水氟质量浓度为12.1 mg·L⁻¹时,经60 min电絮凝除氟后可使进水氟质量浓度由12.1 mg·L⁻¹降为0.6 mg·L⁻¹以下,整个除氟过程遵循一级反应动力学模型且除氟动力学常数取决于电流密度、极板间距和进水氟质量浓度。絮体结构与成分分析表明,在pH=6.0~7.0条件下,电絮凝体系中主要形成的无定型羟基铝化合物使除氟效果达到最好,较高的进水氟质量浓度有助于提高铝离子利用效率。     

关于制定地下水修复目标上限值 (风险管制值) 的建议

修复目标值是评判场地修复是否合格以及修复后地块能否安全利用的唯一标准,因此制定合理的修复目标值对于污染场地修复治理和安全利用起着至关重要的作用。大部分污染场地需要同时进行土壤和地下水修复,生态环境部发布了《建设用地土壤污染修复目标值制定指南 (试行) 》,然而地下水修复目标值制定的指南标准尚未发布。少数项目制定的地下水修复目标值过于宽松,无法保障地块的风险可控和安全利用。因此,建议借鉴土壤环境管理的思路,制定一个类似于“土壤管制值”的“地下水修复目标上限值 (风险管制值) ”。该值的制定不能只基于风险评估计算的结果,而应充分考虑每种污染物各自的理化性质、迁移转化归趋机制、环境赋存特征、健康和环境风险、国外同类标准的取值、检测方法的准确度和成本、经济社会承受能力等因素,力争做到合规合法、科学严谨、综合平衡。     

人工神经网络和专家系统在污水生物处理系统中的应用

对近年来国内外污水生物处理系统中人工神经网络和专家系统的应用进行了简要的回顾。分析了废水生物处理工艺难于控制的原因及人工神经网络和专家系统的结构和特点。结果表明．国外智能控制发展迅速,并且应用领域遍及污水生物处理的各个方面,国内尚处于起步阶段。简要探讨了废水生物处理智能控制今后应深入研究的问题及方向。     

垃圾填埋场对地下水污染的模拟研究

在对长春市某垃圾填埋场进行野外调查的基础上 ,于室内进行了垃圾淋滤模拟实验。分析了垃圾渗滤液污染组分的自然衰减规律 ,建立了垃圾填埋场地下水污染的数值模型 ,采用FEFLOW软件对其进行模拟和预报 ,并取得了较好的效果 ,最后提出防止和防治垃圾填埋场污染地下水的若干措施。     

Progress in developing an ANN model for air pollution index forecast

An air pollution index (API) reporting system is introduced to selected cities of China for public communication on air quality data. Shanghai is the first city in China providing daily average API reports and forecasts. This paper describes the development of an artificial neural network (ANN) model for the API forecasting in Shanghai. It is a multiple layer perceptron (MLP) network, with meteorological forecasting data as the main input, to output the next day average API values. However, the initial version of the MLP model did not work well. To improve the model, a series of tests were conducted with respect to the training method and structure optimization. Based on the test results, the training algorithm was modified and a new model was built. The new model is now being used in Shanghai for API forecasting. Its performance is shown reasonably well in comparison with observation. The application of the old model was only weakly correlated with observation. In 1-year application, the correlation coefficients were 0.2314, 0.1022 and 0.1710 for TSP, SO₂ and NO_x, respectively. But for the new model, for over 8 months application, the correlation coefficients are raised to 0.6056, 0.6993 and 0.6300 for PM₁₀, SO₂, and NO₂. Further, the new algorithm does not rely on manpower intervention so that it is now being applied in several other Chinese cities with quite different meteorological conditions. The structure of the model and the application results are presented in this paper and also the problems to be further studied.     

化学氧化技术在地下水修复中的应用

近年来,化学氧化技术在地下水修复中得到了很大的关注。本研究对比了Fenton试剂、过硫酸钠、高锰酸钾及次氯酸钠4种常见的氧化剂对农药厂地下水中污染物的去除效果、地下水的pH和氧化还原电位(ORP)的变化的影响。结果表明,Fenton试剂和活化的过硫酸钠对此农药厂地下水各种污染物的去除率最高,两者对其中污染物都能达到80%以上的去除率,但在一定程度上会使地下水的pH降低;高锰酸钾和次氯酸钠对污染物的去除率都能达60%以上。其中高锰酸钾对地下水的pH影响不大;次氯酸钠对氯甲苯没有去除效果,对溴苯的去除率也较低,而且会使地下水的碱性过强。在地下水样中加入4种氧化剂后,会使水样的ORP立即升高。     

重庆市加油站周边浅层地下水中石油烃污染调查与特征分析

为了解加油站运营对周边浅层地下水环境质量的影响,随机选择了12个正常运营20年以上的加油站,在加油站上游和下游共布设了27口地下水监测井,对地下水中石油烃、苯系物、萘、1,2-二氯乙烷和甲基叔丁基醚开展了水质监测。结果表明,石油烃在地下水中的检出率较高,为96.3%,检出浓度为4.2~544.7μg/L,检出组分主要为柴油烃中的C26和C20,检出率分别达到了88.9%和77.8%;汽油烃的有效组分C6~C9未检出,作为汽油添加剂的1,2-二氯乙烷和甲基叔丁基醚在地下水中存在,检出率分别为96.3%和22.2%,检出浓度分别为1.7~30.9μg/L和3.8~30.9μg/L。其中,11.1%的监测井中甲基叔丁基醚浓度超过了EPA推荐的饮用水安全的浓度限值(20μg/L),3.7%的监测井中1,2-二氯乙烷浓度超过了《地表水环境质量标准》(GB 3838-2002)中"集中式生活饮用水地表水源地特定项目标准限值"规定的30μg/L。总体而言,石油烃、苯系物、1,2-二氯乙烷和甲基叔丁基醚的含量远低于油品渗(泄)漏导致的污染水平。     

铁屑耦合生物麦饭石的PRB系统修复含铬酸根与硝酸根地下水

针对污染地下水中铬酸根和硝酸根迁移速度快,可渗透反应墙(PRB)常规活性材料修复效果差等问题,以铁屑、麦饭石和硫酸盐还原菌(SRB)为活性材料,构建4组耦合PRB动态柱修复地下水中Cr(Ⅵ)和NO3--N。结果表明,4#(铁屑、麦饭石和SRB)柱修复效果较1#(麦饭石)、2#(铁屑、麦饭石)和3#(麦饭石和SRB)柱好,且稳定,对Cr(Ⅵ)和NO3--N平均去除率分别是97.7%和97.34%,可见,以铁屑、麦饭石和硫酸盐还原菌为活性材料的耦合PRB系统修复地下水中Cr(Ⅵ)和NO3--N具有有效性与可行性。     

Comprehensive Environmental Investigation at Former Industrial/Petroleum Underground Storage Tank Sites in Long Beach,CA: A Forensic Perspective

Two industrial sites were investigated based on years of available hydrogeologic information and monitoring data for soil and groundwater. Collected data were forensically evaluated using age-dating and fingerprinting methods. The previous business uses of the project sites were as a gas station, laundry/dry-cleaning service, and car wash with petroleum underground storage tanks (USTs). As a result, these sites were exposed to a number of toxic contaminants at relatively high concentrations. Source control was necessary for successful remediation and the ultimate removal of the remaining compounds from these industrial sites. Although contaminated soil around the source was excavated during the remedial action and the high concentrations of contaminants were reduced, typical groundwater contaminants such as petroleum hydrocarbons as gasoline (TPH-G), benzene, toluene, ethylbenzene, xylenes (BTEX), and oxygenates including methyl tert-butyl ether (MTBE), diisopropyl ether (DIPE), ethyl tert-butyl ether (ETBE), tert-amyl methyl ether (TAME), and tert-butyl alcohol (TBA) were persistently found at the studied sites around the source points. The plume and concentration of contaminants had changed their shapes and strength for all monitoring periods. Thus, additional source control seems to be a requirement for the complete removal of source contamination, which must be ascertained with groundwater and soil monitoring on a regular time base. For the study sites, monitored natural attenuation was relatively feasible for the long-term plan; however, it did not offer a perfect remediation solution for an ultimate goal because of residual toxic compounds that might have affected the surrounding residential areas at higher concentrations than their health limits. Therefore, as a remediation strategy, the combination of clean-up technology and natural attenuation with monitoring activities are more highly recommended than either clean-up or natural attenuation used separately.     

Assessment of Aquifer Vulnerability in an Agricultural Area in Spain Using the DRASTIC Model

The assessment of aquifer vulnerability is a very important task, especially in agricultural areas because the quality and availability of groundwater affects both the sustainability of agriculture and the quality of life. In this study, an integrated approach is considered, with the use of the generic and agricultural DRASTIC models as well as a geographic information system (GIS), to assess groundwater vulnerability in the agricultural area of Barrax, in the province of Albacete, in Spain. Seven parameters—depth to water, net recharge, aquifer media, soil media, topography, impact of vadose zone media, and hydraulic conductivity of the aquifer (DRASTIC)—have been considered as weighted layers to enable an accurate groundwater risk mapping. The results of the generic DRASTIC model indicated very low vulnerability to contamination for Barrax groundwater due to limited urban and industrial development in the wider area. However, agricultural activities impose pressure to groundwater resources and the results of the agricultural DRASTIC model show that 6.86% of the study area is characterized by very high, 2.29% by high, 47.28% by medium, 38.28% by low, and the remaining 5.29% by no vulnerability to groundwater contamination. The distribution of nitrate concentration in groundwater in the area under study is quite well correlated with the agricultural DRASTIC vulnerability index. Sensitivity analysis was also performed to acknowledge statistical uncertainty in the estimation of each parameter used, to assess its impact, and thus to identify the most critical parameters that require further investigation. Depth to water and impact of vadose zone are the parameters that had the most noticeable impact on the generic DRASTIC vulnerability index followed by the soil media and topography. In contrast, the agricultural DRASTIC method is more sensitive to the removal of the depth to water parameter followed by the topography and the soil media parameters.