考虑油滴碰撞聚结的斜板除油过程模拟

考虑离散油滴在油田废水除油过程中发生的油滴碰撞聚结现象,模拟得出斜板除油器内全部油滴的动态信息,用于斜板除油器除油效率的计算.对矩形同向流斜板除油过程的模拟研究表明:油滴的碰撞聚结会增加斜板除油的效率;当废水的原始含油浓度增大时,斜板除油的效率会增大,碰撞聚结对除油效率提高的影响也越大;废水流动速度提高及斜板的倾斜角度增加均会使斜板的除油效率降低,但此时油滴碰撞聚结对除油效率的影响仍很明显.     

基于数量化理论Ⅱ的鄂西北山区坡面土壤侵蚀强度评价

水土流失既是资源问题，又是生态环境问题。土壤侵蚀对人类生存和发展构成了严重威胁，成为制约可持续发展的障碍因素。以鄂西北丹江口库区郧西县坡面径流小区为试验点，通过分析小区的实地观测数据，建立坡面土壤侵蚀定性评价指标体系，并将数量化理论II作为有效的数学方法，建立郧西县坡面径流小区土壤侵蚀强度评价模型，对参与建立模型的样本进行回归分析，其准判率达到800%以上，并且利用该模型对其他年份坡面土壤侵蚀强度实测数据进行对比验证，得到土壤侵蚀强度分级的精度较高。研究表明，建立的郧西县坡面径流小区土壤侵蚀强度评价模型有较好的适用性与可靠性，可为郧西县及类似自然地理环境的其他区域水保工作起到一定指导意义     

基于参与式社区评估法的泾河流域景观管理问题分析

参与式社区评估法既兼顾了景观管理中的地理变量,同时还将社会经济因素纳入了考虑范畴,是深入进行问题分析客观有效的方法之一。本文采用参与式社区评估法,运用问题矩阵和问题树分析,对泾河流域景观管理中存在的问题和利益相关者的认知进行了分析。研究发现,绝大多数利益相关者认为土壤侵蚀已成为第一严重的问题,其次是土地生产力低下、自然灾害、植被破坏等。尽管当地公众已经认识到了土壤侵蚀的严重危害,但在安排土地利用方式时,却很少考虑土壤侵蚀带来的危害,仍然从事着自给自足的粮食生产活动。     

Colonial公司原油管道泄漏事故原因分析及启示

介绍了一起在美国南卡罗来纳州发生的原油管道泄漏事故，分析了事故的主要原因，并对我国原油管道的维护管理提出建议。     

水上溢油环境风险源确定研究

依据泄漏进水域的最大油品量、水域环境敏感性等两个主要因素,研究确定了江苏油田水上(临水)设施环境风险源等级,并针对不同的风险源阐述了降低风险等级的技术方法和预防措施,为加强江苏油田环境风险防患、提高应急处理能力提供了依据。     

Stochastic Transfer Function Model and Neural Networks to Estimate Soil Moisture1

Abstract: A practical methodology is proposed to estimate the three‐dimensional variability of soil moisture based on a stochastic transfer function model, which is an approximation of the Richard’s equation. Satellite, radar and in situ observations are the major sources of information to develop a model that represents the dynamic water content in the soil. The soil‐moisture observations were collected from 17 stations located in Puerto Rico (PR), and a sequential quadratic programming algorithm was used to estimate the parameters of the transfer function (TF) at each station. Soil texture information, terrain elevation, vegetation index, surface temperature, and accumulated rainfall for every grid cell were input into a self‐organized artificial neural network to identify similarities on terrain spatial variability and to determine the TF that best resembles the properties of a particular grid point. Soil moisture observed at 20 cm depth, soil texture, and cumulative rainfall were also used to train a feedforward artificial neural network to estimate soil moisture at 5, 10, 50, and 100 cm depth. A validation procedure was implemented to measure the horizontal and vertical estimation accuracy of soil moisture. Validation results from spatial and temporal variation of volumetric water content (vwc) showed that the proposed algorithm estimated soil moisture with a root mean squared error (RMSE) of 2.31% vwc, and the vertical profile shows a RMSE of 2.50% vwc. The algorithm estimates soil moisture in an hourly basis at 1 km spatial resolution, and up to 1 m depth, and was successfully applied under PR climate conditions.     

Factors in offshore planning that affect the risk for major accidents

The purpose of this paper is to systematically analyse a typical planning process in the offshore industry from the perspective of causes of major accidents, with the ultimate aim of identifying factors that affect the risk for major accidents occurring. We first study and describe a typical planning process for offshore oil and gas operations in Norway. Then we analyse a number of theories of major accidents, to see how the different theories and their explanations of causes and contributing factors can be of relevance for future plans and planning processes. Finally, we review accident investigations to search for evidence of how weaknesses in planning processes can contribute to major accidents through the above identified factors. Also, we try to identify any additional factors that have not been recognised through the theoretical review. This provides empirical support for the theoretical basis. Thirteen factors which directly or indirectly can influence the planning process causing a major accident potential are identified. These are exemplified through a review of investigation reports. The paper suggests that planning process should focus more on increasing quality in the plans at an early phase, with examples from incidents, and illustrate the relation between planning quality and potential for major accidents.     

城市老工业区土壤重金属污染状况与健康风险评价

本文对西部某老工业区土壤中As、Pb、Cr、Cd、Hg、Zn的含量、空间分布状况展开了研究,并依据《污染场地风险评估技术导则》对该老工业区的健康风险进行了评价。研究结果表明,该老工业区土壤重金属污染严重,6种元素与陕西土壤背景值相比超标100%,表明其不适宜作为居住用地开发。健康风险评价结果显示,As、Pb、Cr、Cd元素的非致癌风险值分别为3.83、1.7、1.94、1.09,均超过非致癌风险可接受值1,表明该老工业区对人们存在非致癌健康风险;对于致癌风险,As、Cr、Cd元素的致癌风险值远大于致癌风险边界值,分别超过致癌风险值的2个数量级(2.64×10-4)、4个数量级(1.94×10-2)、1个数量级(6.12×10-5),表示As和Cr已经达到了显著致癌风险的水平。     

名山河流域黄壤无机纳米微粒对钙的吸附解吸特征

以名山河流域老冲积黄壤无机纳米微粒为对象,从纳米尺度分析钙的吸附解吸机制对土壤养分状况的影响,并采用等温吸附法和静态解吸法,比较不同土地利用方式下钙的吸附解吸特征差异.结果表明:1)不同土地利用方式土壤无机纳米微粒对钙的吸附解吸量均随钙质量浓度增加而增加,在低质量浓度范围内吸附量增加较快,在高质量浓度范围内增加趋缓,不同土地利用方式下钙的吸附能力从高到低为水田(2 580.69 mg/kg)、茶园(2 452.30 mg/kg)、旱地(1 935.10mg/ks)、林地(1 867.36mg/kg)、果园(1 520.65 mg/kg),土壤无机纳米微粒对钙的解吸率从大到小为果园、林地、旱地、茶园、水田,且解吸率随外加钙质量浓度增加而增大;2)去除土壤组分(有机质、游离氧化铁)后,无机纳米微粒对钙的吸附量及解吸量均有所增加,5种土地利用方式吸附增加量从大到小为水田、旱地、茶园、林地、果园;3)去除土壤组分前后,无机纳米微粒对钙的等温吸附均以Freundlich方程拟合效果最佳,相关系数在0.954 5～0.989 0,达到极显著水平,Langmuir方程与Temkin方程拟合效果不佳.研究表明,钙离子以非专性吸附为主,专性吸附为辅,有机质和游离氧化铁的存在会阻碍土壤对钙的吸附及解吸.     

储罐硫腐蚀产物标志性气体的监测

含硫油品储罐内的腐蚀产物与油品中的活性硫反应生成硫化物,而此类硫腐蚀产物氧化自燃是导致储油罐发生火灾、爆炸事故的重要原因.通过试验考察了氧气体积比对硫腐蚀产物氧化自燃过程的影响,探索了铁锈模拟物在氧化过程中SO2气体的释放规律.结果表明:氧气浓度越高,硫腐蚀产物的自燃危险性越大;随着O2浓度增加,氧化反应中SO2的浓度越大,SO2气体析出速度越快,当氧化反应的温度为40℃时,SO2气体浓度达到最大.