A History of Dry Cleaners and Sources of Solvent Releases from Dry Cleaning Equipment

Approximately 25, 000-35, 000 dry cleaning facilities currently operate in the U.S. The release of perchloroethylene and other solvents from these establishments represents a major source of soil and groundwater contamination. The manner in which dry cleaning solvents escape from dry cleaning plants is, for all practical purposes, identical for chlorinated and petroleum hydrocarbon solvents and is related to one of the following events: the catastrophic failure of a component of the dry cleaning system, the improper installation, operation or maintenance of the dry cleaning equipment or a combination of all of these causes. Acceptable customs, codes and regulations can also dictate what is authorized for operation of a dry cleaning facility in a particular community, geographic area during a particular time frame. Environmental litigation dealing with the origin of a solvent release from dry cleaners tends to focus on the design and manufacture of dry cleaning industry machines such as washers, washer extractors, tumblers, solvent filters, water separators, stills and spotting boards. A thorough analysis of the daily operations of dry cleaners often reveals that poor maintenance, failure to follow the manufacturer's instructions and the actions of the operator are the most likely causes of soil and groundwater pollution. In order to forensically evaluate the most probable origins of a solvent release and to examine issues regarding liability, a thorough understanding of the history of dry cleaning and a detailed analysis of the operation and maintenance of the dry cleaning equipment are necessary. The discovery of solvent plumes in the vicinity of dry cleaning plants may suggest that the solvent source is the dry cleaning plant; however, the presence of these plumes does not necessarily indicate that the dry cleaning equipment was defectively designed or manufactured. A thorough review of the type of equipment used over the life of the dry cleaning plant and verifiable solvent mileage records frequently indicates that operators of the plant have disposed of solvent and contaminated solids into the municipal sewer or on ground surfaces.     

A two-stage ensemble Kalman filter for smooth data assimilation

The ensemble Kalman Filter (EnKF) applied to a simple fire propagation model by a nonlinear convection-diffusion-reaction partial differential equation breaks down because the EnKF creates nonphysical ensemble members with large gradients. A modification of the EnKF is proposed by adding a regularization term that penalizes large gradients. The method is implemented by applying the EnKF formulas twice, with the regularization term as another observation. The regularization step is also interpreted as a shrinkage of the prior distribution. Numerical results are given to illustrate success of the new method.     

集合卡曼滤波算法对FARSITE模型林火蔓延预测的修正效果研究

针对火源位置输入偏差导致的FARSITE林火行为模型火线预测不准确的问题,提出了一种基于集合卡曼滤波算法的动态修正方法。利用FARSITE对复杂工况下的林火蔓延过程进行数值模拟,以火线位置为待修正参量,以均方根误差(RMSE)为评价指标,对算法的可行性进行了验证,并研究了算法的集合元素个数,观测数据标准差及同化频率对FARSITE预测偏差的修正效果的影响。结果表明:算法能显著提高FARSITE火线预测精度;逐时同化时:集合元素个数为5时,算法的修正效果并不理想,随着集合元素个数增大,样本误差减小,修正效果得到改善,但增大到30以上时,修正能力的提升就不再明显;观测数据标准差大小与RMSE值呈正相关;给定条件下当同化频率由1 h/次降低至2 h/次,整个模拟时长内的误差仍能得到较好控制,RMSE曲线并不会过快增长。     

Recursive residuals and model diagnostics for normal and non-normal state space models

Model diagnostics for normal and non-normal state space models are based on recursive residuals which are defined from the one-step ahead predictive distribution. Routine calculation of these residuals is discussed in detail. Various diagnostic tools are suggested to check, for example, for wrong observation distributions and for autocorrelation. The paper also discusses such topics as model diagnostics for discrete time series and model discrimination via Bayes factors. The case studies cover environmental applications such as analysing a time series of the number of daily rainfall occurrences and a time series of daily sulfur dioxide emissions.     

曝气生物滤池处理生活污水的试验研究

对升流式二级曝气生物滤池去除COD和NHs—N的效果进行了试验研究,并在各个阶段对比中找出最优的运行工况,从而达到节约能源,降低运行成本的目的。通过试验对水力负荷、有机负荷、气水比等参数的变化对去除COD和NH3-N效果的影响。研究结果表明,在进水水力负荷为1～4m3／m^2·h、有机负荷为4-13kgCOD／ms·d及气水比1：1～3：1的工艺条件下,COD和NH3-N的出水水质均能满足杂用水需要。     

Variation characteristics of atmospheric methane and carbon dioxide in summertime at a coastal site in the South China Sea

● Diurnal patterns of CH₄ and CO₂ are clearly extracted using EEMD. ● CH₄ and CO₂ show mid-morning high and evening low patterns during sea breezes. ● Wind direction significantly modulates the diurnal variations in CH₄ and CO₂. Methane (CH₄) and carbon dioxide (CO₂) are the two most important greenhouse gases (GHGs). To examine the variation characteristics of CH₄ and CO₂ in the coastal South China Sea, atmospheric CH₄ and CO₂ measurements were performed in Bohe (BH), Guangdong, China, in summer 2021. By using an adaptive data analysis method, the diurnal patterns of CH₄ and CO₂ were clearly extracted and analysed in relation to the sea breeze (SB) and land breeze (LB), respectively. The average concentrations of CH₄ and CO₂ were 1876.91 ± 31.13 ppb and 407.99 ± 4.24 ppm during SB, and 1988.12 ± 109.92 ppb and 421.54 ± 14.89 ppm during LB, respectively. The values of CH₄ and CO₂ during SB basically coincided with the values and trends of marine background sites, showing that the BH station could serve as an ideal site for background GHG monitoring and dynamic analysis. The extracted diurnal variations in CH₄ and CO₂ showed sunrise high and sunset low patterns (with peaks at 5:00–7:00) during LB but mid-morning high and evening low patterns (with peaks at 9:00) during SB. The diurnal amplitude changes in both CH₄ and CO₂ during LB were almost two to three times those during SB. Wind direction significantly modulated the diurnal variations in CH₄ and CO₂. The results in this study provide a new way to examine the variations in GHGs on different timescales and can also help us gain a better understanding of GHG sources and distributions in the South China Sea.     

电梯控制系统电磁兼容的改善方法

针对电梯控制系统的发展现状,探讨电磁兼容在其领域的重要性。通过分析电磁兼容的三要素,介绍了电磁干扰的产生,传播。针对如何改善电子设备所承受的电磁干扰,提出了改善电梯控制系统电磁兼容的方法,为进一步提高电梯控制系统的可靠性和安全性做出了保障。     

滤膜对环境空气中砷测定的影响及改进

依据《环境空气和废气 颗粒物中砷、硒、铋、锑的测定 原子荧光法》（HJ 1133—2020）的要求,对采集环境空气中砷的9种滤膜的本底值、回收率、检出限、精密度和准确度进行了实验对比。根据实验各项性能指标及成本考虑,建议选择尼龙、硝酸纤维或混合纤维3种国产有机滤膜,其购买方便、价格较低,方法检出限均为0.2 ng/m³,精密度和准确度均能满足环境空气中砷的测定要求。     

曝气生物活性炭滤池深度处理垃圾渗滤液的效能研究

为了考察曝气生物活性炭滤池(BACF)深度处理垃圾渗滤液的效能,研究了填料填充度、曝气位置、气水比、水力停留时间和p H等影响因素对滤池去除有机物、氨氮和总氮的影响。结果表明,最佳的工艺运行条件为:填料填充度为80%,底部曝气,气水比为3:1,水力停留时间为8 h,p H为7~8。在最佳工艺条件下运行反应器,COD、氨氮和TN平均去除率分别达到85%、90%和57%,出水可达到实验设定水质要求。BACF具有较强的抗有机负荷能力,进水COD浓度在323至3 000 mg/L之间时,COD去除率稳定在80%。反应器受氨氮冲击负荷影响较大,氨氮进水浓度低于90mg/L时,出水可达到要求。     

填料对新型曝气生物滤池污水处理效能试验研究

采用新型酶促厌氧填料、半软性填料、酶促好氧填料和PYC挂膜陶粒填料对两段错向流曝气生物滤池反应器进行污水处理试验研究,分析了4种填料对反应器污水处理效能的贡献并为反应器填料的选择提供科学依据.结果表明,以半软性填料和酶促好氧填料为组合填料的两段错向流曝气生物滤池反应器污水处理效能均优于其它填料.