水体悬浮颗粒物对斜生栅藻生理生化及光合活性的影响

通过研究不同浓度(30、40、50、60、70 mg·L-1)和不同粒径(0～75μm、75 ～ 96μm、96 ～150 μm、150～ 250 μm)水体悬浮颗粒物对斜生栅藻(Scenedesmus obliquus)叶绿素a含量、抗氧化系酶活性、脂质过氧化物丙二醛(MDA)含量、可溶性蛋白含量及光合参数变化的影响,探讨了水体悬浮颗粒物对斜生栅藻生理生化及光合活性影响的机制.结果表明,预处理与未处理悬浮颗粒物在一定浓度范围内会促进藻类生长,超过各自临界浓度(预处理为40 mg·L-1、未处理为50 mg·L-1)后,随着颗粒物浓度的增加会对藻类生长产生抑制现象未经处理的相同浓度不同粒径颗粒物对斜生栅藻都表现出抑制作用,0～75μm粒径组颗粒物作用下藻体内超氧化物歧化酶(SOD)、过氧化氢酶(CAT)、MDA和可溶性蛋白质含量等均显著区别于其他粒径组的作用(p＜0.05).经过预处理的相同浓度不同粒径颗粒物中,96～150μm粒径组对藻类的生长抑制较其他粒径组明显,且小粒径组颗粒物对藻类体内SOD、CAT、MDA和可溶性蛋白质含量等影响较大.受不同浓度悬浮颗粒物胁迫的斜生栅藻相对电子传递速率随着时间延长在一定程度上降低,但这种抑制作用在藻细胞的耐受范围,藻细胞可以通过自身调节将电子传递速率恢复到正常水平甚至更高以抵抗逆境环境.     

我国建设内陆核电站对环境的影响

未来十年我国内陆核电将处在快速增长的阶段,本文以内陆核电站发电原理为基础,考察污染产生种类及成因,探讨我国内陆核电站在正常运营情况下可能对环境产生的影响,并思考发展方向。     

低成本废水生态处理组合工艺在农家乐废水治理中的应用

以一典型农家乐生活废水为处理对象,采用以低成本废水生态处理技术为主体的组合处理工艺,研究了该工艺对农家乐废水的处理效果。结果表明:该废水处理系统稳定运行时对COD和NH4+-N的平均去除率分别达80%和50%以上,出水ρ(TP)一直保持在2.0 mg/L以下。该废水处理技术不仅简单易行、效果好,而且建造及运行成本低,在农村分散型废水治理方面具有良好的推广应用价值。     

城区地表径流面源污染和河道水环境治理的研究

河流为人类提供了多样的生态服务功能,然而城市化对河流生态系统健康状况造成严重的影响。随着点源污染的有效管理控制,非点源污染降雨径流己成为造成城市地表水环境污染的主要原因。为了改善河道水质,引调清水激活城市内河水体,提高河道的水环境自净能力,有效改善城市水环境。文章以南京河西水系为例,利用Saint-Venant方程组对水系建立一维水动力模型,并通过汇流结点水位法对方程组进行数值求解;对WASP5水质模型进行二次开发用于水质模拟;建立水质模型和一维河网水动力模型的耦合模型,将水动力模型计算所得到的水动力参数耦合到WSAP5水质模型中,模拟降雨过程以及引调清水过程的河网各河段的水质变量浓度,得出降雨径流对河流的污染程度以及引清冲污措施对河流水质改善的效果并优化调水过程。     

美国明尼苏达州水环境监测及其对中国的借鉴意义

文章对美国明尼苏达州水环境质量监测策略进行了介绍,并归纳总结了其水环境管理的技术思路,在对其分析消化的基础上,结合中国的水环境质量监测中的问题,对水环境质量监测工作的立法、数据的管理和利用、指标的确定、监测队伍建设四个方面提出了一些建议。     

吉林西部农田生态系统氮平衡及其水环境影响研究

针对吉林省西部地区农田生态系统特点,以1997—2011年统计数据为基础,建立了基于物质守恒原理的氮平衡模型,估算了该地区农田生态系统的氮收支情况,并分析了其对水环境的影响.结果表明:近15年该区氮输入量平均值为56.98×104t·a-1,其中化肥输入氮占总氮的79.59%;氮输出量平均值为42.60×104t·a-1,以作物收获输出为主;氮平衡量变化范围为10.17×104~21.91×104t·a-1,均值为14.38×104t·a-1;氮平衡模型的各项呈增长趋势,受农业生产情况差异的影响,年际间时序变化较大,县市间空间分布差异明显.吉林西部农田生态系统氮平衡表现为盈余状态,氮素的盈余主要受氮肥施用和作物收获影响,农田生态系统氮素的持续盈余并累积对水环境构成一定程度的威胁,借助该区水环境监测数据进行综合分析,受盈余氮素的影响,该区地表水和地下水水质均体现出不同程度的氮超标.     

藏南干旱区湖泊及地热水体氢氧同位素研究

青藏高原水循环过程情况复杂,水体氢氧同位素包含了其重要信息.选取西藏南部干旱区淡水湖、咸水湖及地热水水体为研究对象,分析研究区内不同水体氢氧同位素组成、变化特征、影响因素及水循环过程.结果表明,3种水体均表现出了高海拔地区氢氧同位素组成偏负的特点,淡水湖打加芒错δ18O平均值为-17.0‰,δD平均值为-138.6‰,咸水湖朗错δ18O平均值为-6.4‰,δD平均值为-87.4‰,搭格架地热区热水δ18O平均值为-19.2‰,δD平均值为-158.2‰;受内陆干旱区强烈的蒸发作用影响,湖泊及地热水蒸发线斜率均小于8,氘过量d值均为负值;搭格架地热区热储温度较高,氢氧同位素关系存在氧漂移现象.     

Efficacy of two chemical coagulants and three different filtration media on removal of Aspergillus flavus from surface water

Aquatic fungi are common in various aqueous environments and play potentially crucial roles in nutrient and carbon cycling as well as interacting with other organisms. Species of Aspergillus are the most common fungi that occur in water. The present study was undertaken to elucidate the efficacy of two coagulants, aluminum sulfate and ferric chloride, used at different concentrations to treat drinking water, in removing Aspergillusflavus, as well as testing three different filtration media： sand, activated carbon, and ceramic granules, for their removal of fungi from water. The results revealed that both coagulants were effective in removing fungi and decreasing the turbidity of drinking water, and turbidity decreased with increasing coagulant concentration. Also, at the highest concentration of the coagulants, A. flavus was decreased by 99.6% in the treated water. Among ceramic granules, activated carbon, and sand used as media for water filtration, the sand and activated carbon filters were more effective in removing A.flavus than ceramic granules while simultaneously decreasing the turbidity levels in the test water samples. Post-treatment total organic carbon （TOC） and total nitrogen （TN） concentrations in the experimental water did not decrease; on the contrary, TN concentrations increased with the increasing dosage of coagulants. The filtration process had no effect in reducing TOC and TN in tested water.     

Review on water leakage control in distribution networks and the associated environmental benefits

Water supply is the primary element of an urban system. Due to rapid urbanization and water scarcity, maintaining a stable and safe water supply has become a challenge to many cities, whereas a large amount of water is lost from the pipes of distribution systems. Water leakage is not only a waste of water resources, but also incurs great socio-economic costs. This article presents a comprehensive review on the potential water leakage control approaches and specifically discusses the benefits of each to environmental conservation. It is concluded that water leakage could be further reduced by improving leakage detection capability through a combination of predictive modeling and monitoring instruments, optimizing pipe maintenance strategy, and developing an instant pressure regulation system. The environment could benefit from these actions because of water savings and the reduction of energy consumption as well as greenhouse gas emissions.     

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.