PDMDAAC-阳离子膨润土的比表面积和吸蓝量的研究

以工业聚二甲基二烯丙基氯化铵和钠基膨润土为原料,采用水溶液吸附的方法和高温活化法合成阳离子膨润土复合材料,用次甲基蓝滴定法测定膨润土与阳离子膨润土的吸蓝量;用BET氮气吸附法测定比表面积,最后用阳离子膨润土处理染料废水．结果表明,与膨润土相比,阳离子膨润土的吸蓝量和比表面积有了不同程度的提高,随着吸附量的增加,吸蓝量和比表面积都增大,对废水的处理效果表明,阳离子膨润土的脱色率和COD的去除率都有较大的提高．     

基于响应面法的煤矿钻孔随钻超声成像仪器受力部件优化设计*

摘要:为研制适用于煤矿瓦斯抽采钻孔、满足施工强度要求的小尺寸随钻超声成像仪器，对随钻超声成像仪器的关键受力部位——超声探头安装孔进行优化设计，分析煤矿瓦斯抽采钻孔的一般规格，建立超声探头安装孔的三维模型，确定关键参数类型及其取值范围，采用极差分析法找到对受力部件强度影响较大的参数，基于响应面法开展有限元数值模拟，运用Box-Behnken设计方法得到超声探头安装孔关键参数与仪器受力部件性能指标的关系，优化受力部件关键参数的数值。结果表明:优化前最大的等效应力为138.6 MPa，优化后受力部件最大等效应力较优化前降低9.05%。结论验证了设计方法的有效性，为煤矿抽采钻孔随钻测井仪器的研制提供思路。     

响应曲面法优化HMBR去除TN的工艺条件

采用复合式膜生物反应器HMBR处理低C/N(3-5)实际生活污水,TN含量17~45 mg/L。基于CCD响应曲面法,考察了溶解氧DO、水力停留时间HRT和污泥龄SRT的单独作用及交互作用,并建立TN去除率数学模型。结果表明,影响因子显著性顺序为HRTSRTDO,三者间存在一定的交互作用,但并不显著;数学模型回归性较好,预测最大TN去除率为75%,最佳条件组合为:DO=3.79 mg/L,HRT=8.84 h,SRT=33.62 d,验证实验结果 TN的去除率为73%,与预测值相比偏差仅为3%。采用HMBR处理低C/N生活污水,可以满足《污水综合排放标准》(GB8978-1996)一级标准中对TN≤15 mg/L的限制要求。     

光磁耦合废水处理工艺条件的优化研究

以Fe3O4/TiO2作为磁性光催化剂,采用光磁耦合技术处理模拟印染废水。利用统计学方法对光磁耦合废水处理的影响因素进行了探讨和分析,考察了磁场强度、磁性光催化剂投加量、pH值和光照时间对光磁耦合废水处理的影响。通过Design-Expert 7.0.0软件分析得到最佳工艺条件:磁场强度73.95 mT,磁性光催化剂投加量1.13 g/L,模拟废水pH值13,光照时间120 min。在最佳工艺条件下进行实验,脱色率为88.60%。     

Study on the Flow of Rural Labor Force and the Contribution of Terrain Factor in Shaanxi,China

The flow of rural labor to urban is a significant phe- nomenon in China during the last 20 years. In spite of many researches focus on the driving force of economy, terrain is an important index in the...     

Generation of Ensemble Streamflow Forecasts Using an Enhanced Version of the Snowmelt Runoff Model1

Harshburger, Brian J., Von P. Walden, Karen S. Humes, Brandon C. Moore, Troy R. Blandford, and Albert Rango, 2012. Generation of Ensemble Streamflow Forecasts Using an Enhanced Version of the Snowmelt Runoff Model. Journal of the American Water Resources Association (JAWRA) 48(4): 643‐655. DOI: 10.1111/j.1752‐1688.2012.00642.x Abstract: As water demand increases in the western United States, so does the need for accurate streamflow forecasts. We describe a method for generating ensemble streamflow forecasts (1‐15 days) using an enhanced version of the snowmelt runoff model (SRM). Forecasts are produced for three snowmelt‐dominated basins in Idaho. Model inputs are derived from meteorological forecasts, snow cover imagery, and surface observations from Snowpack Telemetry stations. The model performed well at lead times up to 7 days, but has significant predictability out to 15 days. The timing of peak flow and the streamflow volume are captured well by the model, but the peak‐flow value is typically low. The model performance was assessed by computing the coefficient of determination (R²), percentage of volume difference (Dv%), and a skill score that quantifies the usefulness of the forecasts relative to climatology. The average R² value for the mean ensemble is >0.8 for all three basins for lead times up to seven days. The Dv% is fairly unbiased (within ±10%) out to seven days in two of the basins, but the model underpredicts Dv% in the third. The average skill scores for all basins are >0.6 for lead times up to seven days, indicating that the ensemble model outperforms climatology. These results validate the usefulness of the ensemble forecasting approach for basins of this type, suggesting that the ensemble version of SRM might be applied successfully to other basins in the Intermountain West.     

Evaluation of the Temporal Transferability of a Model Describing Dissolved Solids in Streams of the Upper Colorado River Basin1

Kenney, Terry A. and Susan G. Buto, 2012. Evaluation of the Temporal Transferability of a Model Describing Dissolved Solids in Streams of the Upper Colorado River Basin. Journal of the American Water Resources Association (JAWRA) 48(5): 1041‐1053. DOI: 10.1111/j.1752‐1688.2012.00667.x Abstract: The application of a nonlinear least‐squares regression model describing the sources and transport of dissolved solids in streams of the Upper Colorado River Basin, and that was calibrated using data from water year 1991, was evaluated for use in predicting annual dissolved‐solids loads for the years 1974 through 1998. Simulations for each water year were run using annual climate data. To evaluate how well the model captures the observed annual variability across the basin, differences in predicted annual dissolved‐solids loads for each simulated year and 1991 were compared with differences in monitored annual loads. The temporal trend of the differences between predicted annual loads for the simulated years and the load for 1991 generally followed the trend of the monitored loads. The model appears to underpredict the largest annual loads and overpredict some of the smaller annual loads. An underprediction bias for wetter years was evident in the residuals as was an overprediction bias, to a lesser degree, for drier years. A regression analysis on the residuals suggests that the underprediction bias is associated with precipitation differences from 1991 and with previously defined downward trends in dissolved‐solids concentrations in the basin. In general, given the representative climatic conditions, the model adequately performs throughout the period examined. However, the model is most transferable to years with climatic conditions similar to 1991.     

Optimization of process parameters of extraction of lotaustralin from the roots of Rhodiola rosea L using supercritical CO2 plus modifier

Lotaustralin from the root of Rhodiola rosea L was extracted using supercritical carbon dioxide with methanol as modifier. Response surface methodology using Box–Behnken experimental design was utilized to explore parameters for supercritical carbon dioxide extraction. The effects of various values of temperatures (50–70 °C), pressures (200--400 bar), and percentages of methanol modifier (80%–100%) on the extraction yields of lotaustralin were evaluated. Extract identification was performed using high-performance liquid chromatography. The experimental data obtained were fitted to second-order polynomial equations and assessed using analysis of variance. The highest yields predicted from the experiments were 2.05 g kg^?1 lotaustralin at the optimal values, i.e. temperature 65 °C, pressure 316 bar, 88% methanol modifier at a flow rate of 0.4 mL min^?1, and dynamic extraction time 90 min.     

臭氧数值预报模型综述

光化学大气质量模型在研究臭氧(O_3)污染以及O_3预报方面具有核心作用,是O_3污染防治决策者的有力工具。文章结合目前中国及国际区域尺度光化学大气质量预报模型的研究与应用,重点论述与O_3有关的大气化学过程在数值预报模型中的数学表达和计算方法,阐述大气物理与大气化学过程在主流大气质量数值预报模型中的实现方法及其优势和缺陷,介绍用于数值预报模型的大气物理过程和湍流参数化方案的最新进展。就当前O_3数值模拟的主要输入资料进行讨论,强调那些易被忽视但又显著影响模型预报能力和效果的诸多因素以及模型效果评估的重要性。结合O_3与复合型大气污染的关系,强调区域大气质量数值预报模型的发展趋势与方向以及在大气环境管理方面的意义和作用。