正交实验优化超声波预处理污泥的工况研究

在污泥浓度为9 915 mg/L时,选取超声频率、超声声强和超声时间3个因素设计正交实验,以污泥破解度(DDSCOD)、污泥好氧率(SOUR)和脱氢酶(DHA)活性作为指标,对超声波预处理的工况进行了优化。研究结果表明,最佳的超声预处理参数组合为:超声频率28 kHz,声能密度0.15 W/mL,超声时间10 min。此外,研究还发现不同浓度的污泥,对应的最佳超声组合参数也不同。     

适用于多指标的水质指数公式

通过适当设定水质指标的“基准”值 ,用相对于“基准”值的指标相对值替换对数形式的指数公式中的水质指标值 ,采用遗传算法优化不同指标的指数公式中的参数 ,得到对多项指标通用的水质普适指数公式 ;并用折衷型激励功效函数将单项指标的指数加权为综合指数。该公式形式简单 ,易于计算 ,使用方便 ;具有客观性、可比性和通用性     

絮凝细菌投加量对好氧颗粒污泥性能影响的研究

为研究絮凝细菌对好氧污泥颗粒化的影响,采用气升式内循环序批反应器,在培养好氧颗粒污泥过程中投加絮凝细菌,探讨其投加量对颗粒污泥的理化性能及生物降解效能的影响.结果表明,适量投加絮凝细菌能促进好氧颗粒污泥的形成,絮凝细菌投加量在0～20mL/L时,均可以培养出成熟的好氧颗粒污泥.絮凝细菌最佳投加量为10mL/L,此时颗粒化速度快,颗粒形成时间由未投加的42d缩短为35d,好氧颗粒污泥疏水性好,SVI稳定在40mL/g左右,沉降速度达35.82m/h,COD、氨氮和总磷的去除率分别为97.14%、84.49%和87.59%.而投加量为30mL/L时最终所形成的是白色污泥絮团,没有实现污泥颗粒化.     

大气质量污染损失率评价模型参数的GA优化

设定各项污染物在大气环境质量污染损失率评价模型中有相同参数值,采用具有全局优化的遗传算法(GA)对模型中的参数进行优化,得出了对各种大气污染物均适用的大气环境质量污染损失率计算公式及大气环境质量综合评价模型。该模型与其他多种评价模型用于大气环境实例进行评价比较,结果表明:该评价方法不仅原理直观,评价结果准确,而且计算简便,实用性强。      

水环境数学模型的研究进展

在作者多年研究工作和查阅大量文献资料的基础上,本文综述了环境数学模型国内外的研究现状、发展历史及未来趋势。重点介绍了这方面研究的最新进展。该文还介绍了本领域所涉及的理论和实际应用问题,提出了今后值得进行研究的若干前沿课题,给出了60余篇关于水环境数学模型研究的主要参考文献目录。     

地震作用下土‐深埋地下结构相互作用的高效时程分析方法∗

基于黏弹性边界和将场地地震反应转化为等效荷载的有限元直接法是目前进行地震作用下土-结构相互作用分析的常用时程分析方法之一。当结构埋深较深时,整个土-结构系统的有限元模型自由度数目较多,尤其对于三维问题,计算效率低。提出一种高效分析方法,即一维场地反应分析仍然针对整个深厚土层,在后续的土-结构相互作用分析中将土-结构计算模型的自由表面向下移动、底边界面向上移动到接近结构的位置,通过缩减土-结构相互作用模型尺寸来提高计算效率。采用理论分析与数值算例,通过与采用整个深厚土层的传统土-结构相互作用分析结果对比,说明提出的高效分析方法能够满足精度要求,并且针对不同结构尺寸、结构埋深和围岩等级给出上、下人工边界位置的建议。     

南四湖港口污染物扩散区COD降解系数的研究

本文对南四湖港口污染物扩散区内的ＣＯＤ降解规律进行了室内模拟试验研究,采用最小二乘法估计出了ＣＯＤ可降解部分的降解系数和不可降解部分的百分比,并通过方差分析验证了模型的可靠性。ＣＯＤ降解系数和不可降解百分比的获取,可以为预测各港口对南四湖水质变化趋势的影响,为制定相应的水污染防治规划和措施,提供了重要的基础数据。     

Safety effects of street lighting on roadway segments: Development of a crash modification function

Objective: Nighttime crashes are overrepresented on the U.S. highway system. Roadway lighting, which provides additional visibility by supplementing vehicle headlights, has been identified as an effective countermeasure to improve nighttime safety. However, the existing literature does not provide a thorough understanding of the effects of street lighting photometric characteristics on nighttime crash occurrence on roadway segments. This study aimed to investigate the relationship between lighting photometric measures and nighttime crash risk on roadway segments and develop a crash modification function/factor (CMF).

Methods: The research team collected horizontal illuminance data on 440 roadway segments between 2 successive signalized intersections in Florida for 2012–2014 and matched 4 years of nighttime and daylight crash data (2011–2014). Random parameter negative binomial models were estimated for both nighttime and daylight crash frequencies. The expected night-to-day crash odds ratio, as an equivalent of CMF, was derived from the fitted models with the correction of estimation variances. The confidence intervals (CIs) of the developed CMF were estimated using the Cox method.

Results: The coefficient of the mean of horizontal illuminance is significantly negative in the nighttime model. The coefficients of the standard deviation of horizontal illuminance are significantly positive and normally distributed in both the nighttime and daylight models. The significance of the standard deviation in the daylight model captures the confounding effects—a high standard deviation correlates with high traffic exposures, poor safety design standards, and low maintenance quality. The CMF based on the expected daylight-to-day odds ratio was developed as an exponential function of the increments and the increment squares of the mean and the standard deviation of horizontal illuminance. Its 95% CIs indicate that the CMF is almost significant over the whole range. Other significant variables contributing to nighttime crash risk include annual average daily traffic, truck percentage, segment length, access density, undivided roads, and urban/city limits.

Conclusions: Horizontal illuminance characteristics have a significant impact on nighttime crash risk on roadway segments. An increase in the mean of horizontal illuminance, indicating an improvement in average lighting level, tends to decrease nighttime crash risk; an increase in the standard deviation, representing a poor uniformity of lighting pattern on a roadway segment, is more likely to raise nighttime crash risk. Because the 2 measures are strongly correlated in a low mean range (<0.44 fc), the 2 photometric measures need to be considered together to interpret the safety effects of lighting patterns. The standard deviation shows better performance in measuring lighting uniformity on a roadway segment than the traditional ratios (max-to-min and mean-to-min). However, a new photometric measure is needed to capture the true lighting pattern influencing driver vision at night.     

秦皇岛市生态城市建设发展战略研究

以秦皇岛生态城市建设为出发点,针对秦皇岛生态城市建设中存在的生态环境问题、环境基础设施问题、产业结构问题、社会系统问题,从生态安全、生态卫生、生态产业、生态景观和生态文化五个方面进行了探讨,从而确立了秦皇岛市生态城市建设的发展战略目标,并从管理、资金、人力资源、技术等方面提出了秦皇岛生态城市建设发展的具体措施。     

基于EnKF排放清单反演方法的关键影响参数评估与优化

以中国一氧化碳(CO)排放反演为例,利用敏感性分析手段评估了集合数目、局地化半径､膨胀因子、观测站点密度和观测数据时间分辨率对排放清单反演的影响.结果表明:站点密度是影响排放反演的最重要参数.在不同站点密度下,反演的中国CO排放总量差异可达34%.同时,站点密度还会影响排放反演对其他参数的敏感性.随着站点密度的降低,排放反演对局地化半径、集合数目和膨胀因子参数变得更为敏感,但对观测数据时间分辨率的敏感性则有所下降.因此在站点稀疏地区,局地化半径是排放反演的主要影响参数,集合数目和膨胀因子次之;但在观测站点密集地区,局地化半径和观测数据时间分辨率是主要的影响参数,而膨胀因子和集合数目的影响相对较小.该研究能够为不同尺度的排放反演开展参数优化提供借鉴.在中国CO排放反演案例(站点密度为1.55个/10⁴km²)中,建议反演参数设置为:集合数目为50、局地化半径为100km、最大似然估计膨胀方案(MLE)、日均或小时观测数据.