网络版论文摘要

双碱法在工程运用中pH变化规律研究曹晓满王祖武李超(武汉大学资源与环境科学学院环境工程系,湖北武汉430079)介绍了双碱法烟气脱硫工艺在北京某供暖中心的工程运用。研究了工程运用中pH的变化规律,经过分析得出控制系统运行时的最佳pH。关键词双碱法烟气脱硫pH南水北调东平湖污染调查与防治研究张欣1曹颖2喻宗仁2赵培才2(1.泰山学院化学系,山东泰安271021;2.泰安市环境保护监测站,山东泰安271000)调查了造成目前东平湖水质污染的原因。结果表明,东平湖上游大汶河流域水质的恶化、湖区水产养殖业、湖区周边地区季节性地瓜淀粉加工业和湖区…     

广州市白云人工湖生态修复工程设计

广州市白云湖是广州市最大的人工生态服务湖泊,通过对白云湖生态修复工程进行设计,采用了炭素纤维生态草、微纳米气泡发生装置及纯氧发生器和人工干预与生物处理相结合生态浮床等环保新技术对白云湖水体进行综合生态修复,并对白云湖水质进行跟踪监测。结果显示,白云湖水质提升工程实施之后,白云湖各项水质指标都有一定的改善。白云湖生态修复工程的设计经验对于类似人工水体的水质改善和生态修复工程建设具有参考意义。     

防止南水北调运河水质被污染的思考

作为南水北调输水明渠的京杭大运河，将成为受水区人民的生命河。因此，对北调的水质如何保证不受其污染，就要对每一个可能产生的污染源采取有效的防治措施。     

南四湖入湖河口水质综合分析与改善效果评估

南四湖是南水北调东线工程重要的输水通道和调蓄湖泊,随着通水时间的临近,南四湖入湖河流的水质状况更加受到关注.通过对4次南四湖水质空间分布35个入湖河口的监测数据的统计比较和污染负荷量分析,在分析计算平均综合污染指数和等标污染负荷的基础上,进行不同河流的污染状况比较和水质改善效果评估.研究表明,2010-2011年南四湖入湖河口水质平均综合污染指数(1.56)比2006-2007年(2.73)下降了42.9％,重污染河流由12条减少为3条；南四湖入湖污染负荷总量削减率总体达到了66.0％,入湖污染负荷量分布75％以上集中在主要排污河流,南四湖流域的污染物以TN为主；南四湖的重污染河流为房庄河、老运河和洸府河,10条主要排污河流为老运河、洸府河、东鱼河、房庄河、泗河、洙赵新河、白马河、薛城小沙河、新薛河、新万福河,这些河流是南四湖流域治污的重点.     

一维有限段模型在小清河河口水质预测中的应用

本文建立了小清河-维河口有限段水质模型,并运用该水质模型预测了拟建的东营乙烯工程对小清河感潮段的水质影响,所获得的预测结论为有关部门确定东营乙烯工程废水的排污去向提供了重要的科学依据。     

洪泽湖湿地生态系统保护与修复关键技术研究

分析了洪泽湖湿地生态系统属性及其在南水北调工程实施后的演变趋势，利用野外实验研究，在生境改变条件下，适用于不同湿地退化状况的人工辅助恢复技术；在实验监测的基础上，对洪泽湖几种典型湿地生态系统的生态功能进行了定量评价，为生态恢复工程的设计提供必要的技术支持。     

土壤渗滤处理系统运行控制的模拟研究

通过建立地下水数学模型,回答了土壤渗滤工程运行控制中的两个难点问题:(1)工程运行水力负荷.当工程地块周边存在河流时,河流水位低时,有助于增加水力负荷,反之则降低水力负荷;实际土壤运行面积的增加和独立运行单元之间的间距增加也能够增加工程运行水力负荷.(2)地下水水质监测井的优化布设.模拟工程运行后地下水水质空间分布特征,在地下水水质最不利的位置和其他特别关注的位置布置监测井,从而能够以具有典型代表性且数目较少的监测井达到准确评估工程对地下水水质影响的目的.     

生物标志物在水源地风险评价中的作用与展望

针对肿瘤高发区饮用水污染和南水北调水质的风险评价问题，提出了可用生物标志物检测水中的“环境诱变剂量”来作为评价水体中有毒有害污染物潜在遗传危害的综合指标。简要介绍了生物标志物在国内外的研究动态及其在环境监测、环境风险评价中的应用前景。     

水质评价指数(WI_g)在葛洲坝库区的初步应用

本文应用水质评价指数(WIg)=(sum form n=1 to n (C_iW_i)/K)~(1/2)等模式,和模糊集概念.对葛洲坝库区水质影响进行了初步评价,结果表明:葛洲坝工程的截流蓄水对库区水质没有显著影响.     

乐清湾水质变化及其成因探讨

收集了乐清湾多年的水质监测资料，分析了乐清湾各水质指标在时间和空间上的变化规律。在此基础上，分别从乐清湾外部污染源变化，海岸工程引起的水动力变化和水产养殖业产生的内部污染源的变化等几方面，对乐清湾水质变化的原因进行了探讨。     

盐河淮阴区段水质污染现状评价及防治对策

水污染是困扰淮阴区工农业发展的问题之一。因此对盐河淮阴区段近几年来的水质状况进行了评价，分析了水体污染形成的原因及发展趋势，阐述了污染特征和程度，并提出了改善水环境的对策。     

Green roofs as a means of pollution abatement

Green roofs involve growing vegetation on rooftops and are one tool that can help mitigate the negative effects of pollution. This review encompasses published research to date on how green roofs can help mitigate pollution, how green roof materials influence the magnitude of these benefits, and suggests future research directions. The discussion concentrates on how green roofs influence air pollution, carbon dioxide emissions, carbon sequestration, longevity of roofing membranes that result in fewer roofing materials in landfills, water quality of stormwater runoff, and noise pollution. Suggestions for future directions for research include plant selection, development of improved growing substrates, urban rooftop agriculture, water quality of runoff, supplemental irrigation, the use of grey water, air pollution, carbon sequestration, effects on human health, combining green roofs with complementary related technologies, and economics and policy issues.     

Spatial distribution and source apportionment of water pollution in different administrative zones of Wen-Rui-Tang (WRT) river watershed, China

Water quality degradation in river systems has caused great concerns all over the world. Identifying the spatial distribution and sources of water pollutants is the very first step for efficient water quality management. A set of water samples collected bimonthly at 12 monitoring sites in 2009 and 2010 were analyzed to determine the spatial distribution of critical parameters and to apportion the sources of pollutants in Wen-Rui-Tang (WRT) river watershed, near the East China Sea. The 12 monitoring sites were divided into three administrative zones of urban, suburban, and rural zones considering differences in land use and population density. Multivariate statistical methods [one-way analysis of variance, principal component analysis (PCA), and absolute principal component score—multiple linear regression (APCS-MLR) methods] were used to investigate the spatial distribution of water quality and to apportion the pollution sources. Results showed that most water quality parameters had no significant difference between the urban and suburban zones, whereas these two zones showed worse water quality than the rural zone. Based on PCA and APCS-MLR analysis, urban domestic sewage and commercial/service pollution, suburban domestic sewage along with fluorine point source pollution, and agricultural nonpoint source pollution with rural domestic sewage pollution were identified to the main pollution sources in urban, suburban, and rural zones, respectively. Understanding the water pollution characteristics of different administrative zones could put insights into effective water management policy-making especially in the area across various administrative zones.     

An improved graph convolutional network with feature and temporal attention for multivariate water quality prediction

Environmental Science and Pollution Research - The analysis and prediction of water quality are of great significance to water quality management and pollution control. In general, current water...     

Groundwater characterization and potential impacts of agricultural activities in the Sers El Kef plain

Tunisia has very limited potential of surface and groundwater resources which are subject to different quantitative and qualitative forms of degradation. The risk of groundwater pollution results from the interaction between the vulnerability of aquifers to pollution and anthropogenic activities. Our research focuses on the study of the Sers water table water quality (northwest Tunisia) following the inputs used for agricultural activities in the region. Water samples were extracted from 40 wells to analyze the main physicochemical parameter indicators of the groundwater quality. The results obtained show that these waters have two major facies: Na-Cl and Ca-Mg-SO₄. The nitrate contents are relatively high suggesting that the agricultural activities are probably the most important anthropogenic source of water contamination. The results of the Standardized Principal Component Analysis (SPCA) confirm the geochemical methods and results and provide further information about the water quality of the Sers El Kef aquifer. In addition, the pollution degree differs from one site to another depending on the spreading rate of nitrogen fertilizers and the distance from the pollution source.     

多元统计分析对再生水河流水质特征分析

对以再生水为补给水源的通惠河进行水质监测，采用模糊综合评价的方法总体评价了通惠河的水质状况，综合评价结果表明，高碑店污水处理厂处理排放人河道的水质达到Ⅱ类水平，对通惠河的污染起到了一定的缓解作用。引入多元统计分析的方法：（1）空间聚类模型将通惠河水质类型分为两类，并具体分析了两种类型的水质18个参数的差别。分析发现第1类水体的主要污染物为硝态氮、亚硝态氮引起的氮污染、磷污染等工业污染，而第2类水体的污染主要以生活污水带来的有机污染为主。（2）运用因子分析解析通惠河的污染来源——主要来源于点源排放的污水产生的氨氮、硝态氮和有机污染。为保持再生水水质，需要对水质差的污染区设立重点监测点并控制偷排现象。     

门楼水库总氮环境容量计算及其总量控制方案研究

文中分析了门楼水库的总氮污染状况,提出了门楼水库总氮环境容量的计算原则、设计水文条件和水质保护目标,为改善市区居民的饮用水质量,保障市民的身体健康,制定合理的污染控制方案,提供了科学的参考依据。     

Use of the landfill water pollution index (LWPI) for groundwater quality assessment near the landfill sites

The purpose of the paper is to assess the groundwater quality near the landfill sites using landfill water pollution index (LWPI). In order to investigate the scale of groundwater contamination, three landfills (E, H and S) in different stages of their operation were taken into analysis. Samples of groundwater in the vicinity of studied landfills were collected four times each year in the period from 2004 to 2014. A total of over 300 groundwater samples were analysed for pH, EC, PAH, TOC, Cr, Hg, Zn, Pb, Cd, Cu, as required by the UE legal acts for landfill monitoring system. The calculated values of the LWPI allowed the quantification of the overall water quality near the landfill sites. The obtained results indicated that the most negative impact on groundwater quality is observed near the old Landfill H. Improper location of piezometer at the Landfill S favoured infiltration of run-off from road pavement into the soil-water environment. Deep deposition of the groundwater level at Landfill S area reduced the landfill impact on the water quality. Conducted analyses revealed that the LWPI can be used for evaluation of water pollution near a landfill, for assessment of the variability of water pollution with time and for comparison of water quality from different piezometers, landfills or time periods. The applied WQI (Water Quality Index) can also be an important information tool for landfill policy makers and the public about the groundwater pollution threat from landfill.     

Assessment and rationalization of water quality monitoring network: a multivariate statistical approach to the Kabbini River (India)

The establishment of an efficient surface water quality monitoring (WQM) network is a critical component in the assessment, restoration and protection of river water quality. A periodic evaluation of monitoring network is mandatory to ensure effective data collection and possible redesigning of existing network in a river catchment. In this study, the efficacy and appropriateness of existing water quality monitoring network in the Kabbini River basin of Kerala, India is presented. Significant multivariate statistical techniques like principal component analysis (PCA) and principal factor analysis (PFA) have been employed to evaluate the efficiency of the surface water quality monitoring network with monitoring stations as the evaluated variables for the interpretation of complex data matrix of the river basin. The main objective is to identify significant monitoring stations that must essentially be included in assessing annual and seasonal variations of river water quality. Moreover, the significance of seasonal redesign of the monitoring network was also investigated to capture valuable information on water quality from the network. Results identified few monitoring stations as insignificant in explaining the annual variance of the dataset. Moreover, the seasonal redesign of the monitoring network through a multivariate statistical framework was found to capture valuable information from the system, thus making the network more efficient. Cluster analysis (CA) classified the sampling sites into different groups based on similarity in water quality characteristics. The PCA/PFA identified significant latent factors standing for different pollution sources such as organic pollution, industrial pollution, diffuse pollution and faecal contamination. Thus, the present study illustrates that various multivariate statistical techniques can be effectively employed in sustainable management of water resources. Highlights ? The effectiveness of existing river water quality monitoring network is assessed ? Significance of seasonal redesign of the monitoring network is demonstrated ? Rationalization of water quality parameters is performed in a statistical framework     

北京城市水系水环境模拟及情景分析

城市水系是流域水环境管理中最为脆弱的控制点.针对城市水系水动力条件差、有机污染和富营养化严重的问题,应用QUAL2K模型模拟、预测城市水系水环境的时空变化,并在此基础上探讨北环水系水环境管理和污染防治的合理有效方案.结果显示,经过多次调整后的模型模拟的匹配度达到了0.9135,水温、溶解氧、COD、TN、TP和Chl-...