可见光助三维电极/电Fenton处理罗丹明B废水的研究

提出了以多孔TiO2薄膜(Porous-TiO2)板为阳极,活性炭负载Fe-Ni共掺P25颗粒(Fe-Ni-P25/AC)为粒子电极的可见光助三维电极/电Fenton(Vis-3D/EF)降解有机废水的新方法.同时,考察了该体系对罗丹明B溶液的去除效果和影响因素,探讨了降解过程的反应动力学,并与常规阳极和粒子电极组成的体系处理能耗进行了对比,探讨了Vis-3D/EF体系各个作用对去除率的贡献及对罗丹明B的降解机理.实验结果表明,在电源电压20 V、溶液pH=3、Fe2+离子投加量0.5 mmol·L-1、曝气量1.5 L·min-1、反应时间60 min时,20 mg·L-1罗丹明B的降解率为96.84%,处理过程更符合二级反应动力学.在此条件下,Porous-TiO2阳极板和Fe-Ni-P25/AC粒子电极组成的体系,降解过程具有明显的协同催化特点,协同因子达1.22,且处理能耗仅为常规石墨(Gr)阳极、活性炭(AC)粒子电极组成体系的1/85.5.Vis-3D/EF降解过程中电催化氧化作用、Fenton氧化作用、可见光催化作用及可见光下的协同作用对去除率的贡献分别为43.88%、20.21%、15.26%和17.49%.同时,通过叔丁醇捕获实验发现,·OH对去除率的贡献为75.58%,表明·OH是该体系中产生的主要活性物质.     

Removal of phosphate from wastewater using alkaline residue

Alkaline residue(AR) was found to be an efficient adsorbent for phosphate removal from wastewater. The kinetic and equilibrium of phosphate removal were investigated to evaluate the performance of modified alkaline residue. After treatment by NaOH(AR-NaOH), removal performance was significantly improved, while removal performance was almost completely lost after treatment by HCl(AR-HCl). The kinetics of the removal process by all adsorbents was well characterized by the pseudo second-order model. The Langmuir model exhibited the best correlation for AR-HCl, while AR was effectively described by Freundlich model. Both models were well fitted to AR-NaOH. The maximum adsorption capacities calculated from Langmuir equation were in following manner: AR-NaOH AR AR-HCl. Phosphate removal by alkaline residue was pH dependent process. Mechanisms for phosphate removal mainly involved adsorption and precipitation, varied with equilibrium pH of solution. For AR-HCl, the acid equilibrium pH( 6.0) was unfavorable for the formation of Ca-P precipitate, with adsorption as the key mechanism for phosphate removal. In contrast, for AR and ARNaOH, precipitation was the dominant mechanism for phosphate removal, due to the incrase on pH( 8.0) after phosphate removal. The results of both XRD and SEM analysis confirmed CaHPO4·2H2O formation after phosphate removal by AR and AR-NaOH.     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

基于“径流-地类”参数的非点源氮磷负荷估算方法

东江作为广东省重要的饮用水源,其上游农业集水区非点源氮磷流失量备受关注.因此,本文以东江上游上莞河小流域为研究区,利用2011年的集水区水质监测数据,在平均浓度法及输出系数法的基础上,构建基于"径流-地类"参数的非点源氮磷负荷计算式,其径流、地类参数分别通过校正后的SCS模型和土地利用现状图获取,并分别对上莞河流域及流域各地类的非点源氮磷流失量进行估算.研究结果表明,汛期上莞河流域氮磷流失量主要来源于非点源污染,其非点源氮、磷流失量分别占氮、磷流失总量的97.32%、98.05%.坡度对流域非点源氮磷流失影响较小,地类是影响非点源氮磷输出的重要因素.构建的计算式能较好地估算非点源氮、磷负荷量,在次暴雨尺度非点源氮、磷输出量模拟精度分别为84.78%、81.06%.2011年度上莞河流域非点源氮、磷输出量分别为48923.4、7189.3 kg,耕地、居民地分别是非点源氮、磷输出的关键源区,其非点源氮、磷输出量分别占流域非点源氮、磷输出总量的84.20%、58.54%.     

海洋灾害与海洋经济发展的脉冲响应分析

在测度我国1996~2012年海洋经济发展综合指数的基础上,采用基于VAR模型的广义脉冲响应函数分析方法,探索海洋灾害的发生对我国海洋经济发展综合指数的影响机理及其在时序维度上的动态特征。结果表明:一方面海洋灾害对海洋经济发展的影响总体呈现负效应,另一方面海洋经济发展对海洋灾害的发生也有一定影响。此外,适当滞后期后,海洋灾害和海洋经济发展对于海洋经济发展的单位冲击呈现相一致的反应。     

三维荧光光谱应用于海水中有色溶解有机物分析的探讨

对三维荧光光谱(excitation emission matrix spectroscopy,EEMs)应用于海水中有色可溶性有机物(chromophoricdissolved organic matter,CDOM)分析进行了综述。阐明了海水中CDOM在海洋生物地球化学循环和气候变化中的重要作用,指出了传统分析方法的不足,论述了EEMs用于CDOM分析的优势和不足,总结了国内外在该领域的研究概况,详述了影响海水中CDOM三维荧光光谱特性的主要影响因素,最后对EEMs技术在海水CDOM分析中应用的前景和待解决的问题进行了展望。     

SWMM模型综述

综述了非点源污染模型的体系,对SWMM模型的原理进行了阐述,如汇水单元产生径流的模拟过程及其原理、污染物累积及冲刷过程的原理、输移模块的模拟原理等。概括了SWMM模型在国内外的研究进展和应用。     

基于Tripod Beta事故模型的触电事故原因分析

应用Tripod Beta事故模型对某厂触电事故进行了深入分析,得到了事故原因,并提出预防类似事故的建议措施。     

芦苇和藨草对不同程度富营养化水体的净化效果研究

通过设置3种浓度梯度的富营养化水体净化实验,研究了芦苇和藨草的生长状况及其对富营养化水体中N、P的去除效果。结果表明:芦苇和藨草在3种梯度的富营养化水体中均能正常生长,并对水中N、P有明显的去除效果。藨草在处理轻度和中度富营养化水体时要比芦苇占优势,在重度富营养化水体中,芦苇对N、P的去除能力要高于藨草,且二者对水中TP的净化效果要好于TN。通过对受试水样的TN、TP浓度随时间变化的动态曲线拟合得出,水体中TN、TP的浓度随时间变化呈负指数衰减,芦苇和藨草对富营养化水体的净化率随其在水体中停留时间的延长而递增。实验结果为利用挺水植物修复富营养化水体的模式和机理的深入研究提供了科学依据。     

长江武汉段水质重金属健康风险初步评价

对长江武汉段水质中19种重金属含量进行了连续3年(2009-2011年)调查研究,并应用水环境健康风险评价模型,对该流域内的水体经饮水途径、皮肤接触途径造成的健康风险进行计算和评价。结果表明:非致癌物对人体健康危害的个人年风险水平小于10-8a-1,因此可忽略由非致癌物所致的个人年风险。化学致癌物质所致健康危害的个人年风险:砷>镉,且化学致癌物质对人体健康危害的年总风险在1.41×10-5~2.42×10-5a-1之间,远大于非致癌物,但低于国际放射防护委员会(ICRP)和美国环境保护署(US EPA)的推荐值(5×10-5a-1和1×10-4a-1)。此外,通过饮水途径所致健康危害的个人年风险要远大于通过皮肤接触途径所致的风险。