生理毒代动力学模型及其在有机污染物水生生态毒理研究中的应用

人类生产和生活使用各种人工合成的化学品,种类和数量急剧增长,对生态系统和人体健康造成了极大威胁。因此,亟需采用高效的方法对数量巨大的化合物进行毒性评价。对生理毒代动力学(PBTK)模型的建立过程及其在污染物生态毒理研究中的应用进行了综述。PBTK模型,又称生理药代动力学(PBPK)模型,是利用生理学和解剖学等原理,将生物体简化为用血流连接的肝、肾和脂肪等各组织器官房室,模拟化合物在生物体内的吸收、分布、代谢和排泄过程。模型参数包括生理参数和生化参数2个部分,可用MATLAB等软件进行模拟。模型已应用于数百余种有机污染物在鱼体等水生生物体的毒代动力学模拟。已有模拟结果能够预测化合物在生物体内的有效剂量,对化合物毒性进行评估,并可用于不同物种、不同剂量和不同暴露途径间的外推,有力推进了污染物生态毒理研究工作的开展。     

移动基站远场区功率密度分布和规划控制距离

为掌握畸变条件下移动通讯基站周围功率密度分布,合理确定其规划控制距离,在杭州市主城区选取具有不同网络类型和载波数的2057个移动基站,实测话务高峰期基站周围射频场功率密度.结果表明,畸变条件下GSM基站远场区功率密度S∝r-1.83 (非畸变条件下S∝r-2),决定系数R2=0.80;距基站天线20m内,约85.91%测点功率密度实测值小于非畸变条件下依据天线标称功率和增益计算的理论值.,频数统计结果表明,距天线1~15m范围内,运营商A所属基站S10值(表示有10%的测点功率密度高于该值)比运营商B高10.00%;距天线1~30m内,双网和三网共站基站S10值分别比单网基站高50.31%和57.10%.移动通讯基站规划控制距离以15m为宜,15m外测点功率密度值超过8μW/cm2的基站只占所测基站的0.11%.     

基于缓冲区重采样的LSTM林火预测模型*

为提高林火风险预测精度,挖掘地图上隐含的空间信息、时间序列上隐含的长期趋势和循环波动,提出1种基于缓冲区重采样的长短期记忆（LSTM）林火预测模型,选取15个与林火相关的影响因素,以方差膨胀因子为评价指标对其进行多重共线性检验,方差膨胀因子大于10的因素具有共线性,并采用信息增益率验证筛选结果的合理性。考虑到火灾的空间聚集特性,采用缓冲区分析与过采样相结合方法减少样本不均衡现象的影响,最终得到176 732条样本。对12个影响因素和研究时间段的火点建立LSTM预测模型,对森林火灾发生风险进行预测。研究结果表明:基于缓冲区重采样的LSTM林火预测模型有效考虑时空上隐含的信息,预测模型准确率为87.06%,特异性为97.99%,敏感度为76.12%,阳性预测率为97.43%,阴性预测率为80.41%,ROC曲线与AUC值均优于随机森林（RF）和支持向量机（SVM）这2种基准算法。维尔克松秩和检验发现,本文提出的模型与基准算法结果具有显著性差异。研究结果可为提高林火风险预测精度提供参考。     

考虑公众选择偏好的应急避难安置双阶段选址-分配模型

为使开放避难场所符合公众自行避难的实际情况,借鉴Huff模型量化公众选择行为,构建双阶段选址-分配模型,第1阶段确定开放避难场所位置,第2阶段将溢出容量的灾民二次分配到有剩余容量的避难场所,并利用改进粒子群算法进行求解。研究结果表明：双阶段选址-分配模型能够实现同一需求点灾民前往不同避难场所的过程,管理者干预政策能够使服务人数大幅度增加,避免资源浪费、灾民流离失所且二次分配情况主要依赖于第1阶段的结果。研究结果可为管理部门规划应急避难场所提供参考。     

智能手机应用程序使用与操作的驾驶分心风险影响研究

为研究智能手机应用程序操作方式与使用行为对驾驶分心影响的问题,探讨智能手机程序操作方式对驾驶分心影响的优劣关系,基于结构方程模型提出4个因果关系假设,构建涵盖程序使用、驾驶分心、驾驶绩效等潜变量的智能手机使用行为影响的结构方程模型。通过收集线下问卷的方式进行调查,搭建模拟场景,设计6项实验方案,通过驾驶模拟实验方式收集相关数据,建立相对偏差矩阵。研究结果表明：手机通话功能的使用(路径系数0.472)对驾驶分心影响显著,手机导航功能使用(路径系数0.256)、手机音乐功能使用(路径系数0.249)对驾驶分心影响不显著。语音交互方式均优于手动操作方式,其中语音交互启动导航方式(F₃=0.019)的影响最小。研究结果可对道路驾驶情况下智能手机应用使用与操作方式的研究起推动作用。     

Cybersecurity and dynamic operation in practice: Equipment impacts and safety guarantees

Though dynamic operation of chemical processes has been extensively explored theoretically in contexts such as economic model predictive control or even considering the potential for cyberattacks on control systems creating non-standard operating policies, important practical questions remain regarding dynamic operation. In this work, we look at two of these with particular relevance to process safety: (1) evaluating dynamic operating policies with respect to process equipment fidelity and (2) evaluating procedures for determining the parameters of an advanced control law that can promote both dynamic operation as well as safety if appropriately designed. Regarding the first topic, we utilize computational fluid dynamics and finite element analysis simulations to analyze how cyberattacks on control systems could impact a metric for stress in equipment (maximum Von Mises stress) over time. Subsequently, we develop reduced-order models showing how both a process variable and maximum Von Mises stress vary over time in response to temperature variations at the boundary of the equipment, to use in evaluating how advanced control frameworks might impact and consider the stress. We close by investigating options for obtaining parameters of an economic model predictive control design that would need to meet a variety of theoretical requirements for safety guarantees to hold. This provides insights on practical safety aspects of control theory, and also indicates relationships between control and design from a safety perspective that highlight further relationships between design and control under dynamic operation to deepen perspectives from the computational fluid dynamics and finite element analysis discussions.     

Structural equation model of the influence of noise annoyance on miners’ unsafe behavior in coal mines

Miners' unsafe behavior (UB) is the main cause of coal mine accidents. Previous research has suggested that excessive noise in tunnels impacts miners' temperaments and safe production behavior. To explore the influence of noise on UB, four different dimensions of noise annoyance were identified: cognitive, emotional, communication, and physical mechanism annoyance. The coal mine noise annoyance scale, miners' unsafe behavior intention (UBI) scale, and miners’ UB scale were developed according to different dimensions. In the first survey, a total of 200 questionnaires were distributed in the two coal mines, and 193 valid questionnaires were recovered. Exploratory factor analysis was conducted, and invalid items were removed according to the analysis results to form the final scale. Then, 500 final scales were distributed in two Chinese coal mines, and 482 valid questionnaires were collected. Confirmatory factor analysis was conducted by collating the data of the second questionnaire. Based upon the structural equation model (SEM), the SEM of the influence of noise annoyance degree on UB and the path analysis with latent variable path analysis with the latent variables (PA-LVs) mediating model of the effect of UBI on UB were established, and the path coefficients with fitting data of the model were analyzed. The results indicated that the four dimensions of coal mine noise annoyance had a strong positive impact on UB, which was reduced by less noise annoyance. In addition, the Bootstrap method was used to verify the mediating method among the four dimensions of noise annoyance, cognitive annoyance, emotional annoyance, with communication annoyance indirectly affecting UB through UBI. The research results provide theoretical support for reducing the UB of miners and improving coal mine safety levels.     

混合重金属对硝化颗粒污泥毒性作用的析因实验研究

分别测定了Cu2 、Zn2 和Cd2 对硝化颗粒污泥的单一毒性,采用析因实验研究了二元和三元重金属混合体系对硝化颗粒污泥的联合毒性.结果表明,Cu2 、Zn2 和Cd2 的2 h半抑制浓度EC50分别为95.23、62.11和12.48 mg/L,由析因实验所得的响应曲面模型具有较好的优度(其R2＞0.95),能够对混合体系的联合毒性很好地进行预测,析因实验可以用于环境领域混合体系联合毒性的研究.     

复杂火工系统可靠性预计方法及软件研究

目的 解决在进行复杂系统的可靠性建模以及预计时,计算效率低、容易出错的问题。方法 开展基于GO(Goal Oriented)法的复杂火工系统可靠性预计方法研究。建立不同种类火工组件的可靠性模型和算法,结合火工系统的GO图模型,对系统的可靠性进行预计以及定量分析。依据建立的可靠性模型以及算法,开发一套火工系统可靠性建模以及预计的软件,运用该软件对典型座椅弹射火工系统的可靠性进行预计,并且将软件计算结果与蒙特卡洛仿真方法得到的结果进行比较。结果 软件计算结果与蒙特卡洛仿真方法所得结果的最大相对误差不超过0.004 8%。结论 基于GO法的复杂火工系统可靠性预计方法是合理可行的,而且运用GO法开发的软件可以提高可靠性预计的计算效率,同时也为后续的 GO 图分析计算提供了技术支持。     

Heavy metal adsorption on the Le An River sediment —The adsorption model

In this study,the surface properties and adsorption properties of the Le An River sediment were modelled via surface complexation approach.The model parameters were determined based on the data of our potentiometric titration experiments and the metal adsorption experiments with the Le An River sediment samples.Consequently,the surface complexation models for the natural sediment,in our case the Le An River sediments,which can interpret the experimental data very well were successfully established.Three typical surface complexation models that is the constant capacitance model,the diffuse layer model and the triple layer model,were considered in this research.This work indicated that the consistency and the interdependency among model parameters together with the selection of the surface adsorbed species should be emphasized.