控制星湖内源性营养物质磷负荷的有效性研究

本文研究了天然沸石与石灰,铝盐,铁盐对湖水－沉积物系统中的湖水脱磷的可能性,以期在对星湖内源性营养物质磷负荷的控制方面提供科学依据。     

城市浅水型湖泊底泥污染物释放过程模拟试验研究

通过对城市浅水型湖泊(以宁波东钱湖为例)疏浚后上层底泥污染物释放过程模拟试验研究,分析了环境因子对底泥污染物释放特性的影响及其原因,得出了上覆水营养盐水平、水温和扰动对底泥污染物释放的影响曲线.同时,说明了湖泊内源性有机污染源对湖泊水质存在着潜在的危险性,提出了疏浚施工期间的规避措施,为城市浅水型湖泊底泥疏浚和富营养化治理提供依据.     

类Fenton氧化—好氧移动床生物膜法处理抗生素发酵废水

采用类Fenton氧化-好氧移动床生物膜(MBBR)法处理难降解抗生素发酵废水,探讨了H2O2和草酸投加量对类Fenton氧化工艺以及HRT和曝气量对好氧MBBR反应器的影响.实验结果表明,当类Fenton氧化工艺的最佳操作参数为反应溶液H2O2和草酸初始质量浓度分别为150、45 mg/L、30 W/154 nm紫外灯照射1 h、pH为3.0,在曝气搅拌条件下,COD平均去除率为80.9%.当类Fenton氧化工艺出水pH在7.0时,废水中的污染物还可以进一步被混凝去除.好氧MBBR反应器的最佳工艺参数为HRT 12 h、曝气量0.10 m3/h以及填料填充比(体积比)30%,最终废水COD平均去除率为99.1%,达到<污水综合排放标准>(GB 8978-1996)三级标准要求.     

试论环境灾害的基本概念与主要类型

通过对国内外环境灾害研究现状的分析,综述了环境灾害的基本概念和类型划分.在此基础上,从灾害构成的三要素出发,认为所有灾害都产生于自然环境和人文环境之中.因此,若按孕灾环境来对灾害进行分类,环境灾害只可以分为自然环境灾害和人文环境灾害两大类,也即我们通常所称的自然灾害和人为(人文)灾害.据此,环境灾害就等同于灾害,它包括了自然灾害和人为灾害.环境灾害是灾害学的研究领域,直接关系到人类生命与财产的安全,而环境污染和环境问题是环境科学的研究范畴,主要只影响到人类的身体健康.环境污染是环境问题的一种,环境灾害与环境污染和环境问题具有不同的内涵,有着明显的区别.     

A study on variations of concentrations of particulate matter with different sizes in Lanzhou,China

Lanzhou is one of the most air-polluted cities in China and in the world, and its primary air pollutant is particulate matter (PM). Different size particulate matter (TSP, PM₁₀, PM_2.5 and PM_1.0) have different sources and affect the environment and human health differently, so it is very important to study the pollutant characteristics of different particles in order to deeply understand the pollution situation of Lanzhou city and establish reasonable preventive countermeasures. TSP, PM₁₀, PM_2.5 and PM_1.0 concentrations were simultaneously measured in Lanzhou to detect the annual and diurnal variations of concentrations of PM with different sizes and possible causes. The main results are as follows: (1) The annual distribution of monthly average concentrations for coarse particles (TSP and PM₁₀) is bimodal with the highest peak in April, which is different from the situation in other cities not affected by sand-dust events. However, the annual distribution for fine particles (PM_2.5 and PM_1.0) is unimodal with the peak in December. This difference between coarse and fine particles indicates that sand-dust events in spring carry much more coarse than fine particles to Lanzhou. This result is supported by the correlation between springtime wind speed and concentrations of PM with different sizes. (2) Under normal conditions (without dust intrusions), the diurnal distribution of coarse particle concentration in Lanzhou is bimodal. However, the distribution is trimodal during dust intrusions in April, with an extra peak in the afternoon. (3) In general, the highest concentration peaks of the diurnal variations for TSP, PM₁₀, PM_2.5 and PM_1.0 occur at about the same time. However, there are obvious differences in the occurrence time of the minimum concentrations among different kinds of PM. The differences in the occurrence time of minima between coarse and fine particles are due to their different diffusion behaviors in the atmospheric boundary layer.     

吡啶硫酮金属对华美盘管虫(Hydroides elegans)精子DNA的损伤效应

吡啶硫酮铜(Cu PT)和吡啶硫酮锌(Zn PT)在渗出型海洋防污涂料中的应用日益广泛,其生态毒性引起了人们的关注。本文以南海海域常见优势种——华美盘管虫(Hydroides elegans Haswell)为试验动物,采用彗星实验研究了吡啶硫酮金属对华美盘管虫精子细胞DNA的损伤情况。结果显示,低浓度(4μg·L~(-1)Cu PT或8μg·L~(-1)Zn PT)处理组的精子细胞,其"彗星"尾长、尾DNA含量及Olive尾矩都显著高于溶剂对照组(P0.05);较高浓度(8μg·L~(-1)或16μg·L~(-1)Cu PT,16μg·L~(-1)或32μg·L~(-1)Zn PT)处理组的精子细胞,其"彗星"尾长和尾矩多数显著高于溶剂对照组(P0.01)。此外,尾长和Olive尾矩在试验浓度范围内都呈现"效应-浓度"正相关。Cu PT为4μg·L~(-1)、Zn PT为8μg·L~(-1)时,对精子DNA造成轻度损伤;Cu PT为8μg·L~(-1)、16μg·L~(-1),Zn PT为16μg·L~(-1)、32μg·L~(-1)时,则达到了中度损伤的程度。可见吡啶硫酮金属具有较明显的海洋生态遗传毒性;另一方面,华美盘管虫精子细胞DNA对吡啶硫酮金属的胁迫呈现出较高的敏感性和效应-浓度相关性,在作为生态遗传毒性的生物指标方面具有潜在优势,进一步的研究将促进其在海洋重金属污染评价中的应用,特别是用于南海海洋环境的早期预警监测。     

全氟辛酸(PFOA)对菲律宾蛤仔体内酶活性的影响

采用半静态毒性实验方法,将菲律宾蛤仔(Ruditapes philippinarum)分别暴露于0.2、2、20μg·L-1的全氟辛酸(perfluorooctanoic acid,PFOA)中,在处理后第1、3、6、10、15、21天分别取样,测定整体组织中超氧化物歧化酶(SOD)、过氧化氢酶(CAT)、过氧化物酶(POD)、谷胱甘肽-S-转移酶(GST)、7-乙氧基异吩噁唑酮脱乙基酶(EROD)活性和过氧化脂质(LPO)含量。酶活性分析结果显示:PFOA对菲律宾蛤仔组织SOD、CAT和POD活性均呈现先促进后抑制的作用;低浓度组SOD活性在暴露第1天达到最高,显著高于对照组(P<0.01);中高浓度组SOD活性在暴露第6天达到最低;暴露1~15 d,低浓度组CAT活性均显著高于对照组(P<0.05);高浓度组CAT活性在暴露第6天得到显著诱导,其余时间基本处于抑制状态;中浓度组POD活性在暴露第3天即达到最高,高浓度组POD活性基本一直处于抑制状态;随着PFOA暴露时间的延长,菲律宾蛤仔组织LPO含量呈现了先降低后升高的趋势;各浓度组中EROD的活力都显著被诱导(P<0.01),与处理浓度呈正相关;中高浓度组的GST活性在胁迫期间变化比较显著,呈现诱导-抑制的变化规律。研究表明,PFOA暴露能够引起菲律宾蛤仔组织抗氧化酶和生物转化酶的变化,可以与其他敏感性指标一起作为指示早期海洋PFOA污染的生物标志物。     

Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River,China

Accurate quantification of dissolved oxygen (DO) is critically important for managing water resources and controlling pollution. Artificial intelligence (AI) models have been successfully applied for modeling DO content in aquatic ecosystems with limited data. However, the efficacy of these AI models in predicting DO levels in the hypoxic river systems having multiple pollution sources and complicated pollutants behaviors is unclear. Given this dilemma, we developed a promising AI model, known as support vector machine (SVM), to predict the DO concentration in a hypoxic river in southeastern China. Four different calibration models, specifically, multiple linear regression, back propagation neural network, general regression neural network, and SVM, were established, and their prediction accuracy was systemically investigated and compared. A total of 11 hydro-chemical variables were used as model inputs. These variables were measured bimonthly at eight sampling sites along the rural-suburban-urban portion of Wen-Rui Tang River from 2004 to 2008. The performances of the established models were assessed through the mean square error (MSE), determination coefficient (R ²), and Nash-Sutcliffe (NS) model efficiency. The results indicated that the SVM model was superior to other models in predicting DO concentration in Wen-Rui Tang River. For SVM, the MSE, R ², and NS values for the testing subset were 0.9416 mg/L, 0.8646, and 0.8763, respectively. Sensitivity analysis showed that ammonium-nitrogen was the most significant input variable of the proposal SVM model. Overall, these results demonstrated that the proposed SVM model can efficiently predict water quality, especially for highly impaired and hypoxic river systems.     

多水源供水管网中铁释放规律

针对水源切换而引起的水质超标现象,开展了多水源联合供水条件下管网中铁释放规律的研究。分析了北方某城市2种水源(滦河水和长江水)的水质特点,利用实验模拟反应器分别研究了水源完全置换和供水分界线处水源混合区域的铁释放规律。结果表明,多水源供水管网的铁释放速率与水源水质密切相关,特别是水中含高浓度SO2-4和氯化物时会加快铁的释放。不同水源之间的频繁切换会破坏管垢表面的钝化层,使铁释放速率迅速变化,随后会有所缓解,但新的平衡的形成需要较长时间。供水分界线处的水源混合区域,由于水质的不断变化造成管垢表面很难形成稳定的钝化层,铁释放速率持续偏高,只有当长江水所占比例高达75%以上时才能得到抑制。