常用抗干扰元器件在电器中的分析与应用

本文结合作者的实践经验,对家用电器及电动工具中常用抗干扰器件EMI电容和铁氧体磁环进行分析与测试,得出相应结论,并实例验证结论,对工程应用具有实践和指导意义。     

固定燃烧源颗粒物稀释采样系统的研制与应用

为研究固定燃烧源颗粒物排放特征,研制开发了稀释烟道采样系统.该系统能模拟高温烟气排放到大气中的冷却、稀释、凝结等物理化学过程,捕集燃烧源排放的一次颗粒物.详细阐述了采样系统的结构并对系统进行了检验.整个采样系统稳定度高,测量结果可靠,操作简便.采样系统小型化设计,适合于现场应用.该系统已成功应用于我国典型燃烧源颗粒物排放特征研究.     

微波密封消解法测定COD的关键操作技术

在水质监测及诸多行业的工业废水监测中,COD是一个必测项目,微波密封消解测定COD是一种新方法,此方法与国标(GBll914—89)重铬酸钾法回流测定COD相比,具有成本低、操作安全、快速便捷等优点,其测定结果同标准重铬酸钾回流法相比对线性相关系数r大于0.999,是值得推广使用的一种方法。但为了得到准确可靠的分析结果,提高测定COD的工作效率,必须严格把握好一些关键性的技术问题。     

Priority screening of toxic chemicals and industry sectors in the U.S. toxics release inventory: a comparison of the life cycle impact-based and risk-based assessment tools developed by U.S. EPA

Life Cycle Impact Assessment (LCIA) and Risk Assessment (RA) employ different approaches to evaluate toxic impact potential for their own general applications. LCIA is often used to evaluate toxicity potentials for corporate environmental management and RA is often used to evaluate a risk score for environmental policy in government. This study evaluates the cancer, non-cancer, and ecotoxicity potentials and risk scores of chemicals and industry sectors in the United States on the basis of the LCIA- and RA-based tools developed by U.S. EPA, and compares the priority screening of toxic chemicals and industry sectors identified with each method to examine whether the LCIA- and RA-based results lead to the same prioritization schemes. The Tool for the Reduction and Assessment of Chemical and other environmental Impacts (TRACI) is applied as an LCIA-based screening approach with a focus on air and water emissions, and the Risk-Screening Environmental Indicator (RSEI) is applied in equivalent fashion as an RA-based screening approach. The U.S. Toxic Release Inventory is used as the dataset for this analysis, because of its general applicability to a comprehensive list of chemical substances and industry sectors. Overall, the TRACI and RSEI results do not agree with each other in part due to the unavailability of characterization factors and toxic scores for select substances, but primarily because of their different evaluation approaches. Therefore, TRACI and RSEI should be used together both to support a more comprehensive and robust approach to screening of chemicals for environmental management and policy and to highlight substances that are found to be of concern from both perspectives.     

作业疲劳测量方法对比研究

作业疲劳是导致生产效率下降、事故发生的重要原因之一。研究作业疲劳对提高生产效率、减少事故的发生,以及保护劳动者安全和健康具有重要意义。而作业疲劳测量方法是作业疲劳研究的前提和基础。因此,本文首先对作业疲劳的分类及其导致疲劳的原因进行了简单概述,并归纳总结了目前常用的几种作业疲劳测量方法,包括：主观感觉询问表评价法、生理参数测试法、生物化学测试法、心理学测试方法以及几种方法相结合的综合测试方法,并分析了上述几种作业疲劳测量方法的测量目的、适用范围、以及各自的优缺点,且针对不同研究目的提出了作业疲劳测量方法的选择和使用原则,并探讨了几个重点作业疲劳测量方法的研究方向,以及作业疲劳测量方法的完善方法。     

Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain

This paper proposes a mixed performance measurement system using a combination of evolutionary game theory and the balanced scorecard (BSC) in environmental supply chain management (ESCM) that measures and evaluates business operations using the four different perspectives of finance, customer, internal business process, and learning and growth. ESCM plays an important role in the supply chain which leads to the reduction, reuse and recycling of resources involved in both upstream and downstream activities. This paper presents guidance for practical managers in evaluating and measuring ESCM by developing a knowledge-based BSC and evolutionary game theory. The primary purpose of this paper is to apply the proposed method in a case study to one of Iran's biggest auto industry supply chain SAIPA Company. The results of this study indicate that the adoption of ESCM, in the absence of regulatory pressures and cost-saving measures is triggered by public pressures and its implementation is limited by organizational factors and strategic myopia.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

基于在线观测的太原市冬季PM2.5中金属元素污染水平及来源解析

为更好地识别太原市PM_2.5的来源,于2022年1月采用在线多金属监测仪对太原市区PM_2.5中13种金属元素(K、Ca、Ba、Cr、Mn、Fe、Cu、Ni、Zn、As、Se、Pb和Sr)小时浓度进行了监测,分析了其污染特征,采用正定矩阵因子分解(PMF)模型解析了其来源.结果表明,13种金属元素浓度之和均值为(3 901.6±2 611.2)ng·m^-3,在PM_2.5中平均占比为(7.1±7.7)%.Fe、Ca和K是3种主要的金属元素,浓度平均值分别为(1 319.5±1 003.5)、(1 181.0±1 241.6)和(883.3±357.3)ng·m^-3.ρ[Cr(Ⅵ)](4.6ng·m^-3)和ρ(As)(11.2 ng·m^-3)平均值高于国家环境空气质量(GB 3095-2012)和世界卫生组织的标准值.PMF源解析结果显示：扬尘、机动车排放、不锈钢制造、生物质燃烧与垃圾焚烧、散煤燃烧和工业燃煤是PM_2.5     

郑州地区大气气溶胶光学特性的地基遥感研究

根据自动跟踪扫描光度计观测资料,利用Bouguer-Lamber定律反演郑州地区2007年2~9月气溶胶光学厚度和波长指数,分析郑州地区该时段气溶胶光学特性的季节变化和日变化情况.结果表明,郑州地区2007年2~9月1020nm气溶胶光学厚度为0.49±0.09;870nm气溶胶光学厚度为0.60±0.13;670nm气溶胶光学厚度为0.76±0.20;440nm气溶胶光学厚度为1.08±0.34.季节变化以夏季最高,秋冬次之,春季最低.波长指数春季为0.37~0.69,夏季为1.18~1.26.春季有50%以上的天气,扬尘粒子为主控粒子,而夏季城市-工业气溶胶是主控粒子之一.日变化规律与近地面污染物浓度变化一致,8:30和17:00左右出现峰值,11:30出现谷值,由于气温上升,湍流剧烈,12:30左右气溶胶光学厚度有1个小高峰,但仍处于全天的低值区.     

太湖地区农田NO排放不连续测量最佳时间

以我国南方太湖地区稻麦轮作生态系统的旱地阶段为例,在通过自动连续测量揭示ＮＯ排放的时间变异规律性基础上,讨论了ＮＯ排放不连续测量结果矫正及最佳观测时间选择．根据自动连续测量结果,ＮＯ排放表现出日间极大值型和夜间极大值型２种规律性日变化形式．前者发生在温度比较适宜,但植物生长较弱的情况下,此日变化形式直接与温度有关;后者发生在植物旺盛生长的情况下,且主要取决于植物对铵态氮的吸收,而与温度没有直接关系．在植物生长强弱变换的过渡期,日变化的规律性不明显．不连续测量结果的矫正因子也因植物生长状况而异．当观测时间选择不当,又不进行任何矫正处理时,根据不连续测量结果估计的ＮＯ排放可能偏高１２％ ～４７％ 或偏低１８％ ～６８％ ．无论哪种植物生长情形,１５ｖ００～１６ｖ００都是ＮＯ排放不连续测量的最佳观测时间．这时的观测结果不需要日变化矫正,能直接用来代表日平均排放量.