Extraction of DNA from amniotic fluid cells for the early prenatal diagnosis of genetic disease

Ten-ml samples of amniotic fluid were taken from pregnancies being terminated at 8–14 weeks' gestation. DNA was extracted from the amniotic cells by sequential centrifugation and analysed using the polymerase chain reaction (PCR). Fifteen samples were analysed for evidence of maternal contamination using Mfd5 oligo-nucleotide primers for repeat polymorphisms. Ten amniotic fluid samples were tested for the Delta-F₅₀₈ deletion characteristic of cystic fibrosis to demonstrate a diagnostic application for the technique. In each case, DNA extracted from fetal tissue from the same pregnancy was included in the controls. In 14 of the 15 cases tested with the Mfd5 primers, both the amniotic fluid DNA and the fetal DNA showed no evidence of contaminating DNA. In one case, neither the amniotic fluid cells nor the fetal cells yielded results. In nine of the ten cases tested with the Delta-F₅₀₈ primers, the amniotic fluid cell DNA provided accurate information about the genetic status of the fetus; in the tenth, the fetal DNA failed to amplify. The results indicate that adequate DNA can be extracted from amniotic fluid from 8 weeks' gestation onward and these samples are suitable for prenatal diagnosis using PCR.     

定量风险评价技术在管道城市穿越段的应用

介绍了管道高后果区定量风险评价的方法和风险可接收标准.将定量风险评价技术在我国某长输原油管道城市穿越段的应用表明,定量风险评价方法适用于人口密集的管道高后果区,能对管道高后果区的风险管理、决策提供重要的参考.     

关于公路环境监理专业化问题

根据公路项目的环境管理的现状和公路施工对环境的影响，结合公路环境监理试点工作的实践，提出建立专业化的环境监理队伍，专业化的组织形式，规范化的工作方法等。     

层状菱铁矿的定量成因分类

层状菱铁矿的成因分类,根据其分类基础,可分为两大类型:一是以地质作用和产出特征为背景的定性成因分类;二是以菱铁矿的某些化学组分为标准的定量成因分类。本文推荐一种新的定量分类标准,即利用siO_2—Al_2O_3—CaO+MgO三角图,将层状菱铁矿矿划分为三种成因类型:(1)沉积碎屑岩型层状菱铁矿;(2)海相火山沉积型层状菱铁矿;(3)海相沉积碳酸盐岩型层状菱铁矿。     

污水生物处理中抗生素的去除机制及影响因素

环境中的抗生素污染日益严重,其诱导产生的抗生素抗性成为人类健康的重大威胁.通过对世界多地污水处理厂进、出水中抗生素浓度水平的文献调研汇总,发现当前的污水处理工艺不能实现抗生素的有效去除.吸附和生物降解是污水中抗生素的主要去除途径,因此本文深入地分析了吸附的作用机制和不同种类抗生素吸附程度的差异;从生物降解性能、降解菌和降解产物等方面分析抗生素在污水生物处理过程中的生物降解作用;分析讨论了水力停留时间、污泥停留时间、温度和工艺选型(传统活性污泥法、膜生物反应器和生物脱氮工艺)等污水生物处理工艺的运行条件对吸附和生物降解途径的影响,进而解析对抗生素去除效果的影响.菌群组成、生长基质供应情况和微污染物共存情况等因素对污水生物处理中抗生素迁移转化的影响需要更深入地研究.     

中国“四化”建设对水足迹强度的影响分析

采用2000—2016年中国30省市（不包括香港、澳门、台湾、西藏四省区）的数据,构建四化指标体系,计算四化发展指数,进行地区四化水平评价,通过OLS和GMM回归模型考察四化发展对水足迹强度的影响,同时设置四化之间的交互项来识别四化指标之间的相互作用。主要结论如下：首先,从四化水平的地域发展差异上来看,中国四化水平总体上呈现出东部优于中部、中部优于西部的格局,水足迹强度的分布与之类似,说明四化水平发展与水足迹强度之间可能存在相关关系;其次,计量模型显示四化水平的提升对于水足迹强度的改善有积极影响,但每一化对于水足迹强度改善的影响大小不一;第三,以交互项衡量的四化相互作用对于水足迹强度的影响作用为正,表明四化发展对水足迹强度的改善效果逐渐趋于收敛。因此,优先提升落后地区的四化水平,以四化水平的提升推动水足迹强度的降低,能够有效降低我国总体水足迹强度水平。     

用溶解氧浓度作为SBR法过程和反应时间控制参数

进行了以DO作为SBR法过程和反应时间控制参数的试验研究。结果表明,无论使曝气量或初始污泥浓度大幅度变化,还是逐渐或突然改变初始有机物浓度等各种试验条件,都会在反应阶段开始不久出现所谓平衡DO浓度现象;当有机物达到其难降解浓度时DO浓度迅速地大幅度升高。因此,在目前还没有简易、快速的有机物浓度传感器的情况下,DO不仅可作为反应时间的指示性控制参数,而且也能可靠地作为反应阶段的过程控制参数。     

森林碳汇资源开发潜力定量评价与研究——以黑龙江省为例

森林碳汇资源是开展森林碳汇贸易的基础。森林碳汇潜力的定量评价,将为森林碳汇贸易提供可靠的依据。在对森林碳汇资源开发潜力的定量方法进行深入研究的基础上,以黑龙江省为案例进行潜力评价,明确了黑龙江省具有巨大的森林碳汇增量潜力,提出了进一步发展森林碳汇贸易及构建森林碳汇交易市场的可行性。     

Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande1

Abudu, S., J.P. King, Z. Sheng, 2011. Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande. Journal of the American Water Resources Association (JAWRA) 48(1): 10‐23. DOI: 10.1111/j.1752‐1688.2011.00587.x Abstract: This paper presents the application of autoregressive integrated moving average (ARIMA), transfer function‐noise (TFN), and artificial neural networks (ANNs) modeling approaches in forecasting monthly total dissolved solids (TDS) of water in the Rio Grande at El Paso, Texas. Predictability analysis was performed between the precipitation, temperature, streamflow rates at the site, releases from upstream reservoirs, and monthly TDS using cross‐correlation statistical tests. The chi‐square test results indicated that the average monthly temperature and precipitation did not show significant predictability on monthly TDS series. The performances of one‐ to three‐month‐ahead model forecasts for the testing period of 1984‐1994 showed that the TFN model that incorporated the streamflow rates at the site and Caballo Reservoir release improved monthly TDS forecasts slightly better than the ARIMA models. Except for one‐month‐ahead forecasts, the ANN models using the streamflow rates at the site as inputs resulted in no significant improvements over the TFN models at two‐month‐ahead and three‐month‐ahead forecasts. For three‐month‐ahead forecasts, the simple ARIMA showed similar performance compared to all other models. The results of this study suggested that simple deseasonalized ARIMA models could be used in one‐ to three‐month‐ahead TDS forecasting at the study site with a simple, explicit model structure and similar model performance as the TFN and ANN models for better water management in the Basin.     

不同区域城市空气O3和PM2.5累积速率时序模型

利用2017—2018年全国7个区域10个典型城市环境空气O₃和PM_2.5浓度数据,统计污染物累积速率,进而采用回归方法拟合污染物浓度及其累积速率的时间序列模型,分析不同区域污染物时序变化特征差异。结果表明：不同区域O₃浓度时序曲线拟合程度总体高于PM_2.5,石家庄O₃拟合程度最高,西安PM_2.5拟合程度最高。以07：00、14：00分别作为O₃、PM_2.5模拟起点是24 h中的最优模型。不同城市夏季O₃小时浓度时序变化曲线均为单峰形态,O₃浓度及累积速率峰值出现时间可能由城市所处经度决定,太原O₃累积最快,西安O₃消解最快。各城市间冬季PM_2.5小时浓度及其累积速率时序变化曲线形态差异较大,沈阳PM_2.5累积和消解均最快。与浓度相比,城市环境空气O₃和PM_2.5累积速率与光照、扩散条件等有更好的时间相关性。