Application of intrawell testing of RCRA groundwater monitoring data when no upgradient well exists

A statistical quality control approachto detect changes in groundwater quality from aregulated waste unit is described. The approachapplies the combined Shewhart-CUSUM control chartmethodology for intrawell comparison of analyteconcentrations over time and does not require anupgradient well. A case study from the U.S.Department of Energy's Hanford Site is used forillustration purposes. This method is broadlyapplicable in groundwater monitoring programs wherethere is no clearly defined upgradient location, thegroundwater flow rate is exceptionally slow, or wherea high degree of spatial variability exists inparameter concentrations. This study also indicatesthat the use of the Data Quality Objectives (DQO)process can assist in designing an efficient andcost-effective groundwater monitoring plan to achievethe optimum goal of both low false positive and lowfalse negative rates (high power).     

Land User Participation in Developing a Computerised Decision Support System for Combating Desertification

Combating desertification in natural rangelands has recently become a priority in large parts of southern Africa. Rangeland managers, farmers, scientists, conservationists and land users have been applying a variety of restoration technologies to address this problem. Bush encroachment, as part of the desertification process, involves the natural replacement of the herbaceous plant cover by undesirable problem woody species. The active and passive restoration technologies that are applied, are mainly based on indigenous knowledge and include the chemical, mechanical or manual reclamation of unproductive rangelands, as well as the combating of woody and alien species encroachment. Indigenous practices and knowledge play a major role in the effectiveness and success rate of these technologies. This project faces the challenge of bringing together both local and scientific knowledge in a single user-friendly, computerised Decision Support System (DSS) which is directly accessible by land users to support them in the process of decision making, concerning the combating of desertification. Case studies from central and northern Namibia were used to combine qualitative and quantitative data to develop this Decision Support System. The DSS currently consists of two databases and an expert system, which evaluates the results of land users’ management practices, and provides easily accessible information and advice for participants in the system, based on the incorporated data. The DSS is also linked to national and international web sites and databases to offer a wider range of information on technologies concerning agricultural and conservation practices.     

Multimedia model of atrazine in plant-soil-groundwater system with a fugacity approach

ＩｎｔｒｏｄｕｃｔｉｏｎＣｏｎｔａｍｉｎａｔｉｏｎｏｆｅｄｉｂｌｅｖｅｇｅｔａｔｉｏｎｂｙｐｅｒｓｉｓｔｅｎｔ,ｕｂｉｑｕｉｔｏｕｓｃｈｅｍｉｃａｌｓｓｕｃｈａｓＰＣＢｓ,ｄｉｏｘｉｎｓ,ｐｅｓｔｉｃｉｄｅｓ,ａｎｄｈｅｒｂｉｃｉｄｅｓｐｒｏｖｉｄｅｓａｍａｊｏｒｅｘｐｏｓｕｒｅｒｏｕｔｅｔｏｈｕｍａｎｓ ,ｄｏｍｅｓｔｉｃａｎｉｍａｌｓａｎｄｗｉｌｄｌｉｆｅ .Ｕｐｔａｋｅｏｆｔｈｅｓｅｏｒｇａｎｉｃｃｈｅｍｉｃａｌｓｂｙｐｌａｎｔ,ａｎｄｓｕｂｓｅｑｕｅｎｔｄｉｓｔｒｉｂｕｔｉｏｎｉｎｔｈｅｐｌａｎ…     

土壤对六价铬的还原容量初步研究

提出并讨论了土壤的潜在还原容量、有效还原容量和条件还原容量等概念，通过对采用北京和唐山地下水饮用水源区３个包气带土壤样品的土柱淋滤实验，研究了土壤对水溶液中六价铬的还原作用，研究了上述土壤各种还原容量之间的关系及影响因素，探讨了向土壤中投加适量常见，无毒，价廉的还原性物质以提高土壤还原能力的方法和将其应用于去除灌溉用污染地下水中六价铬的可能性，实验结果表明，在正常环境条件下，土壤的有效还原容量比土     

VOC removal from contaminated groundwater through membrane pervaporation. (Ⅱ): 1,1,1-trichloroethane-SDS surfactant solution system

IntroductionTheconventionalmethodforsubsurfaceremediationofgroundwatercontaminationwithVOCsistheso called“pump and treat”technology .Thelimitationofthisapproachistheprohibitivelylongtreatmenttimeforremediatingthegroundwatercontaminatedwithcommonchlorinatedsolventsthathavedensitiesgreaterthanthatofwater(classifiedasDNAPLs densenon aqueousphaseliquids) .Thisislargelyduetotheverylowwatersolubilityandlowbiodegradabilityofthisclassofsolventsandthetendencyofthesolventssettlinginthebottomofanaqu…     

反硝化在土壤及地下水中的净化作用

综述了土壤及地下水系统中反硝化作用的研究进展，详细地介绍了反硝化作用的原理和机制，用以防治地表水和地下水的污染。     

Study of prediction for groundwater contamination in wastewater land treatment system

This paper uses a prediction model of groundwater pollution based on the experiments in the laboratory and in field .The model, which was tested and calibrated by the field observated data ,satisfactorily simulated the field conditions in land treatment system of wastewater . Particularly , the model can provide the reliable pollution prediction of heavy metals , organisms and nitrogen . The model was used to predict the groundwater pollution caused by the land treatment system in the region of North China . The calibration of the model showed that correlation coefficients between the tested and predictive data of Cr6+. As3+, organism and NH4+ could reach 0.990, which proved that the model possessed the realistic instructive significance for design and use of wastewater land treatment systems .     

BP人工神经网络预测邻苯二甲酸酯光化学降解

将反向传播人工神经网络（BP－ANN）用于邻苯二甲酸酯类化合物的光化学降解的预测中，选取正交设计的试验点作为反向传播人工神经网络的训练集，实现对全实验域试验点的预测，并与实测的试验数据比较。结果表明反向传播人工神经网络（BP－ANN）具有良好的预测能力。     

焦作煤矿区浅层地下水污染成因及特征研究

研究了焦作煤矿区的浅层地下水污染动态，分析了焦作市的地下水污染状况，找出了地下水污染的四条途径，讨论了浅层孔隙地下水污染的主要原因是矿坑排水形成水位降落漏斗、污水灌溉及河渠渗流等，研究了地下水污染的空间分布特征和规律。     

基于人工神经网络的行业无害化生产能力评价模型研究

利用BP前向人工神经网络方法 ,建立了一种全新的基于人工神经网络的行业无害化生产能力评价模型 ,该模型采用动量梯度下降反向传播和学习速率自适应调整相结合的训练学习算法。最后 ,以造纸及纸制品业为例 ,对中国各省市造纸行业的无害化生产能力进行评价 ;并进一步分析中国各省造纸行业无害化生产能力的时空分布规律 ,为我国行业规划、布局决策提供科学依据。