等离子体脱硫运行参数分析

利用介质阻挡强电离放电产生非平衡等离子体,进行模拟烟气脱硫。通过一次回归正交设计,对影响非平衡等离子体脱硫效率的因素进行了分析,建立了多元线性回归模型,分析了因子的主次,并得到了实验指标和各因子之间的定量规律。通过对模型的优化,获得了使脱硫率较高的各因素的最优组合。     

水蒸气电晕放电下的烟气脱硫效果

采用多针-板式电极,在70 m³/h烟气流量范围内,研究了水蒸气浓度、烟气流量、电场强度等因素对不饱和水蒸气正直流电晕放电烟气脱硫率的影响以及水蒸气电晕放电对脉冲放电烟气脱硫率的提高.研究结果表明,实验范围内,按照NH₃∶SO₂摩尔比为2∶1添加NH3的条件下,增加水蒸气流量、增强电场强度、减少烟气流量,烟气脱硫率能提高10%,达到60%左右.同时,水蒸气电晕放电能使脉冲放电的烟气脱硫率提高5%左右,达到90%以上.     

我国排污权交易制度的建立和实施

针对我国日益严重的环境问题,分析了建立和实施排污权交易制度的必要性和可行性,并进一步提出建立和实施排污权交易制度的措施：确定排污权发放总量,奠定排污权交易基础;引入环境合同制度,规范排污权交易形式;确认排污单位排污权,监管排污权转让;制定并完善法律法规,保障排污权交易制度的顺利实施。     

微等离子弧放电催化水处理技术的研究

采用钛为阳极的微等离子弧放电技术,研究了在模拟废水处理中放电催化效应及其机理,发现该技术对甲基橙有好的放电催化处理效果.甲基橙的脱色程度与峰值电压、脉冲频率、占空比、阳极电极面积等有关.在0.3mol·L-1的H3PO4电解液中,在峰值电压为550V、脉冲频率200Hz,占空比1∶180、阳极电极面积50mm×50mm条件下,20min内600mL、20mg·L-1的甲基橙溶液脱色率达90%.实验结果表明,该放电催化体系具有协同效果好、能效高、反应器设计要求简单等特点,是一种有发展前景的水处理新技术.     

复合式静电除尘器脱除电厂排放PM2.5研究

控制燃煤电厂的小颗粒PM2.5排放是控制大气可吸人颗粒物污染的重要途径之一.传统静电除尘器对亚微米级颗粒脱除效率较低,为提高脱除效率,建立了一种脉冲预荷电直流收尘的复合式除尘系统,采用较低能耗的高压窄脉冲放电对颗粒物预荷电,大大提高了亚微米级颗粒的荷电量.结合传统的直流静电除尘器可以大幅提高对亚微米级颗粒的脱除效率,对小于1μm的颗粒脱除效率可以达到90%以上.并分析了脉冲荷电的电源形式和电压等因素对脱除效率的影响,为改造传统静电除尘器提供了理论支持.     

我国4种重要海水经济鱼类热忍受研究

为了探明我国重要海水经济鱼类的热忍受能力,分别采用急性升温和缓慢升温两种方法对大黄鱼Pseudosciaena crocea、鲈鱼Lateolabrax joponicus、真鲷Pagrosomus major、黑鲷Sparus macrocephalus进行了室内热效应模拟实验.研究结果表明:在夏季自然起始水温为28.5℃条件下,大黄鱼,鲈鱼和黑鲷的急性升温半致死温度(LT50)分别为34.2,33.9和36.4℃;大黄鱼,鲈鱼,真鲷和黑鲷的临界热最大值(critical thermal maxima,CTmax)分别为35.0,34.7,32.7和36.8℃.     

三峡蓄水前后宜昌–城陵矶水情多尺度变化特征分析

采用Morlet小波分解重构和频谱分析等方法,对宜昌、枝城、沙市、监利和城陵矶1997~2014年水位和流量及三峡水库2003~2014年入库、出库流量和库水位数据进行了统计分析,探究了各水文站在三峡建坝前后水情的变化特征及原因。结果表明:各观测站的水位和流量沿程递减,水位的年内波动处同一水平,研究河段内上游河段流量年内和年际变化比下游河段剧烈;各水文站水位和流量变化的显著周期为6.05、11.78、21.2、30.29和53个月,各水文站水位1 a周期变化幅度均在2 m以上,其他周期上的变化幅度为0.08~0.82 m;三峡水库蓄水活动对下游水文站水位和流量等水情的影响有限,主要反映在对水情趋势项的影响上,三峡大坝蓄水后,各水文站水位和流量受到一定程度影响,呈波动性递减变化。     

静电激发型袋除尘器的机理及应用前景

静电激发型袋除尘器有别于常规的电袋结合除尘器,其是将电除尘器的预荷电原理作用于烟气后,利用袋除尘器的滤袋做收尘极板来收集粉尘。本文通过分析Max-9^TMESFF的结构介绍了其除尘机理,并分析了它的应用前景。     

Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1

Abstract: We proposed a step‐by‐step approach to quantify the sensitivity of ground‐water discharge by evapotranspiration (ET) to three categories of independent input variables. To illustrate the approach, we adopt a basic ground‐water discharge estimation model, in which the volume of ground water lost to ET was computed as the product of the ground‐water discharge rate and the associated area. The ground‐water discharge rate was assumed to equal the ET rate minus local precipitation. The objective of this study is to outline a step‐by‐step procedure to quantify the contributions from individual independent variable uncertainties to the uncertainty of total ground‐water discharge estimates; the independent variables include ET rates of individual ET units, areas associated with the ET units, and precipitation in each subbasin. The specific goal is to guide future characterization efforts by better targeting data collection for those variables most responsible for uncertainty in ground‐water discharge estimates. The influential independent variables to be included in the sensitivity analysis are first selected based on the physical characteristics and model structure. Both regression coefficients and standardized regression coefficients for the selected independent variables are calculated using the results from sampling‐based Monte Carlo simulations. Results illustrate that, while as many as 630 independent variables potentially contribute to the calculation of the total annual ground‐water discharge for the case study area, a selection of seven independent variables could be used to develop an accurate regression model, accounting for more than 96% of the total variance in ground‐water discharge. Results indicate that the variability of ET rate for moderately dense desert shrubland contributes to about 75% of the variance in the total ground‐water discharge estimates. These results point to a need to better quantify ET rates for moderately dense shrubland to reduce overall uncertainty in estimates of ground‐water discharge. While the approach proposed here uses a basic ground‐water discharge model taken from an earlier study, the procedure of quantifying uncertainty and sensitivity can be generalized to handle other types of environmental models involving large numbers of independent variables.     

Modeling Postfire Response and Recovery using the Hydrologic Engineering Center Hydrologic Modeling System (HEC‐HMS)1

Abstract: This paper investigates application of the Army Corps of Engineers’ Hydrologic Engineering Center Hydrologic Modeling System (HEC‐HMS) to a burned watershed in San Bernardino County, California. We evaluate the HEC‐HMS’ ability to simulate discharge in prefire and postfire conditions in a semi arid watershed and the necessary parameterizations for modeling hydrologic response during the immediate, and subsequent recovery, period after a wildfire. The model is applied to City Creek watershed, which was 90% burned during the Old Fire of October 2003. An optimal spatial resolution for the HEC‐HMS model was chosen based on an initial sensitivity analysis of subbasin configurations and related model performance. Five prefire storms were calibrated for the selected model resolution, defining a set of parameters that reasonably simulate prefire conditions. Six postfire storms, two from each of the following rainy (winter) seasons were then selected to simulate postfire response and evaluate relative changes in parameter values and model behavior. There were clear trends in the postfire parameters [initial abstractions (I_a), curve number (CN), and lag time] that reveal significant (and expected) changes in watershed behavior. CN returns to prefire (baseline) values by the end of Year 2, while I_a approaches baseline by the end of the third rainy season. However, lag time remains significantly lower than prefire values throughout the three‐year study period. Our results indicate that recovery of soil conditions and related runoff response is not entirely evidenced by the end of the study period (three rainy seasons postfire). Understanding the evolution of the land surface and related hydrologic properties during the highly dynamic postfire period, and accounting for these changes in model parameterizations, will allow for more accurate and reliable discharge simulations in both the immediate, and subsequent, rainy seasons following fire.