底栖动物在水质评价中应用的中文文献统计和分析研究

底栖动物长期生活在水体底部,水质的变化会直接影响到它们的生长和繁殖,因此底栖动物可以准确的反映水体的质量.利用底栖动物对水质进行生物评价,在国内已较多采用,并取得了一定的成果.在收集、整理了126篇底栖动物在水质评价中的应用的相关中文文献的基础上,统计出了这些文献的年度发表量及在各期刊的分布情况,其中核心期刊占有较大的比例.此外,还统计了文献的研究机构,主要是以高校为主体,以及文献所用的评价水质的方法,共计14种.     

阜新市空气监测点位优化的聚类分析

基于聚类分析法利用数据之间距离系数进行分类的原理,建立空气监测点位聚类分析优化模型,结合阜新市地形、气象及历史监测数据,进行阜新市空气监测点位布设优化应用,优化结果表明:距离相似水平取d=0.3时,环保局(B点)与人民公园(C点)监测点空气污染物浓度分布相似性最高,合并为1点,增设气象台监测点位作为清洁背景点,4个点位构成阜新市空气监测新网络;利用CALPUFF模型模拟对优化后监测点位进行相关性检验。检验结果表明:监测点位优化后SO2浓度与实测值相关系数为0.984,PM10相关系数为0.968,NO2相关系数为0.973。CALPUFF模型模拟值与实际监测值之间相关系数均大于0.75,表明优化后的阜新市空气监测点位具有客观环境代表性;监测点位优化与检验方法具有一定应用价值。     

木兰县饮用水源地水质状况分析研究

2012年木兰县监测站对木兰县饮用水源地水质状况进行了监测,监测了六项常规的监测项目,其中包括:pH、总硬度、铁、锰、浑浊度、总大肠菌群.通过这些监测数据可知,木兰县饮用水源地中pH、总硬度、浑浊度均能达到中国《生活饮用水卫生标准》和国家《地下水质量标准》(GB 14848-93)规定,总大肠菌群四个季度均未检出,但铁的含量在第三季度出现超标情况,锰的含量在第一、二、三季度出现超标,本文分析了超标的成因及处理的方法,并提出建议.     

城市安全供水综合指数研究-以太原为例

采集太原市不同区住户的自来水和12种瓶装水,分析了水中无机离子和挥发性有机物( VOCs)成分.结果表明,无机离子和VOCs的总浓度范围分别为1.08~354.18 mg/L和0.43~13.98 μg/L;自来水中的无机离子与VOCs 含量最高,约是瓶装水中浓度的三倍.加热与过滤处理措施均可改善自来水水质,对水中无机离子和VOCs的去除效果均可达19%~100%,其中过滤可能会引发VOCs的二次污染 .根据饮用水标准,使用饮用水水质指数( DWQI)模型对水质评价结果显示,太原市饮用水水质总体较好.     

国庆假日济南城区大气环境质量特征及其影响因素研究

文章运用相关性分析法、主成分分析法探究国庆假日济南城区大气环境质量特征及其影响因素.结果表明:PM2.5、PM10、CO 是国庆期间的主要污染物,小时浓度的峰值出现在9 时和23 时,谷值出现在14 时;PM2.5、PM10是首要污染物,日均浓度(除去10月6日)均超过国家二级标准,10月1日PM2.5浓度上升33.6%,PM10上升34%,10月2日和4日出现浓度"双峰",3日和6日出现浓度"双谷",6日浓度值降至国庆最低,10月7日颗粒物浓度迅速回升;节假日期间,合理安排旅游行程,有利于缓解城市环境压力,促进城市可持续发展.     

江苏省“十一五”环境质量状况及成因分析

结合江苏省“十一五”期间环境质量状况及变化情况,综合分析了环境空气、水环境、声环境质量及污染物排放状况.“十一五”期间,江苏省经济总量以13.5％的平均速度增长,社会、经济的快速发展给全省环境质量带来巨大的胁迫压力,资源能源消耗迅速攀升,“三废”产生总量持续增长;而由于加大了节能减排和环境治理投入力度,采取了一系列措施...     

A graphical screening method for assessing stream water quality using specific conductivity and alkalinity data

In areas of varying geology, it is difficult to infer water quality from specific conductance or electrical conductivity (EC) data without an understanding of the expected range of EC values based on local bedrock composition. This paper describes a user-friendly graphical screening method that addresses this issue by plotting the EC against concurrent alkalinity data, which correlates well with the presence of carbonate bedrock under natural conditions, and thus serves as an index of bedrock type. The upper limit of EC vs. alkalinity expected in a stream is determined using regional groundwater quality data, based on the assumption that stream chemistry reflects groundwater under baseflow conditions. Stream samples with EC/alkalinity values that consistently plot above this limit are considered impacted by anthropogenic sources. The effect of dilution and runoff on the EC vs. alkalinity plot of stream samples is considered using a simple baseflow/storm runoff-mixing model. The graphical method's utility as a screening tool is demonstrated by application to stream chemistry data from watersheds of southeastern Pennsylvania and northwestern New Jersey in several distinct geologic settings; however the method is general and widely applicable to watersheds in humid temperate regions. Its use is intended for watershed stewards of both professional and nonprofessional qualification.     

Air assimilative capacity-based environment friendly siting of new industries--a case study of Kochi region, India

Air pollution has become a matter of grave concern, particularly in mega-cities and urban areas, where the situation is alarming and becoming more and more severe day-by-day and warrants, therefore, careful planning to facilitate future industrial development. Site selection, with the objective of minimizing adverse environmental impacts based on environmental criteria is a vital prerequisite, particularly for air polluting industries. In order to locate any air polluting industry, the assimilative capacity of the region needs to be assessed carefully and planned accordingly, so that the receiving environment is not adversely affected. Assimilative capacity of a region/airshed, widely represented through the ventilation coefficient by many researchers in the past, does not give a clear picture about the amount of emission load that can be assimilated in a given region. The ventilation coefficient, at best, can only present a broad picture about the air pollution dispersion potential (low, medium or high) of the region. A modified approach, which utilizes air quality modelling as a tool to estimate the maximum allowable emission load that a region can assimilate without violating the stipulated standards, has been used for estimating the assimilative capacity of the air environment. Details of this approach have been presented in this paper through a case study carried out for the Kochi region, located in the Kerala State of India. A variety of emission and meteorological scenarios have been considered and critical emission loads have been estimated. This approach shall provide necessary technical guidance to the environmental regulatory authorities as well as to the industries in planning environment friendly industrial development.     

Water quality modelling of the river Yamuna (India) using QUAL2E-UNCAS

This paper describes the utility of QUAL2E as a modelling package in the evaluation of a water quality improvement programme. In this study, QUAL2E was applied to determine the pollution loads in the river Yamuna during its course through the national capital territory of Delhi, India. The study aimed at examining the influence of different scenarios on river water quality. Four different pollution scenarios were analysed besides the 'business as usual' situation. The study revealed that it was necessary to treat the discharge from drains to the river Yamuna and diversion of a substantial load to the Agra canal for further treatment was also essential. It was also established through this study that maintaining a flow rate of more than 10 m(3)/s in the river could also help preserve the river's water quality. To clearly display the model outcomes and demarcate polluted zones in the river stretch, model results were interfaced with a Geographical Information System (GIS) to produce cartographic outputs. In addition, uncertainty analysis in the form of first-order error analysis and Monte Carlo analysis was performed, to realise the effect of each model parameter on DO and BOD predictions. The uncertainty analysis gave satisfactory results on simulated data.     

Developing the interaction matrix technique as a tool assessing the impact of traffic on air quality

This paper develops a technique which can be used as a preliminary tool for assessing air quality related to urban traffic. It combines a Geographic Information System (GIS) with an interaction matrix-type methodology based on a system analysis approach. The matrix identifies and quantifies interactions between all selected variables involved in a system as well as their interaction with the system as a whole. This matrix is used to determine the weightings to apply to spatial datasets within a GIS to develop a pollution vulnerability map. The focus of the paper is to introduce and assess a more versatile coding of the interaction matrix with respect to previously used coding. A case study is presented in which the modified interaction methodology is applied to data for a busy urban location. The resulting vulnerability map, in terms of pollution vulnerable hot spots, was compared to a pollution map derived from an advanced dispersion model. The interaction matrix technique with GIS can be used as a tool complementary to sophisticated numerical modelling and has potential as an analytical tool to evaluate multidisciplinary systems.