The varying effects of left–right ideology on support for the environment: Evidence from a Swedish survey experiment

Years of research show that left-leaning individuals are more supportive of environmental policies than right-leaning individuals. The explanation for the lower level of support among right-leaning individuals is their stronger preference for economic growth and lower acceptance of intervention in markets. However, recent cross-national studies have questioned whether the effect of ideology on environmental support is universal. A Swedish survey experiment shows that the effect of ideology varies greatly depending on how individuals think about the environment. Specifically, it demonstrates that if environmental support is contrasted with economic growth, then the effect of ideology is stronger as opposed to when environmental support is not juxtaposed with economic growth. Furthermore, among people who strongly perceive the environment as a left–right issue, there is a larger divide between left and right.     

A Comprehensive Python Toolkit for Accessing High‐Throughput Computing to Support Large Hydrologic Modeling Tasks

The National Flood Interoperability Experiment (NFIE) was an undertaking that initiated a transformation in national hydrologic forecasting by providing streamflow forecasts at high spatial resolution over the whole country. This type of large‐scale, high‐resolution hydrologic modeling requires flexible and scalable tools to handle the resulting computational loads. While high‐throughput computing (HTC) and cloud computing provide an ideal resource for large‐scale modeling because they are cost‐effective and highly scalable, nevertheless, using these tools requires specialized training that is not always common for hydrologists and engineers. In an effort to facilitate the use of HTC resources the National Science Foundation (NSF) funded project, CI‐WATER, has developed a set of Python tools that can automate the tasks of provisioning and configuring an HTC environment in the cloud, and creating and submitting jobs to that environment. These tools are packaged into two Python libraries: CondorPy and TethysCluster. Together these libraries provide a comprehensive toolkit for accessing HTC to support hydrologic modeling. Two use cases are described to demonstrate the use of the toolkit, including a web app that was used to support the NFIE national‐scale modeling.     

大气细粒子(PM2.5)监测技术进展

大气细粒子(PM2.5)的污染对人和生态环境等影响巨大,迫切需要进行PM2.5质量浓度的监测;本文介绍了PM2.5国内外监测研究进展、监测网络应用情况以及监测技术;重点介绍了几种先进的技术:β射线法、振荡天平法和光散射法,并详细描述了各种监测设备的原理及结构,提出最好采用PM2.5在线监测仪进行日常监测。     

PM2.5在线监测技术概述

针对PM2.5颗粒物监测技术和PM2.5的监测网络的建设,重点介绍了美国多年来对PM2.5的监测状况,以及采用的Beta射线法、Beta射线光浊度法、微量振荡天平法等监测技术的方法和原理;指出综合国内外多年的监测经验,PM2.5的在线监测需要经过大量手工经典方法数据作为比对和校验,才能给出有效而高质量的PM2.5监测数据。     

接地极的土壤腐蚀

接地极是接地装置的主要组成部分,接地极埋设在土壤中,用于泄流,保障电网和电气设备的安全运行。近年来,接地极的腐蚀损坏造成的事故屡有发生,接地极的土壤腐蚀引起了普遍的重视,防止接地极腐蚀已成为一个重要的研究课题。本文介绍了目前我国电网和电气设备接地极的选材,接地极土壤腐蚀的特点,并对接地极防腐蚀方法做了简单总结。     

道路车辆电气及电子设备在振动试验中的应力循环和试验设计原则

本文试从振动试验的特点和受试样品承受振动激励的应力循环切入分析,为把握试验方案的拟订提供支持。同时也简要介绍了应力循环的计算方法,供试验人员参考使用。     

西部地区工业发展的比较优势分析

西部大开发实施以来,西部地区经济发展迅速,在产业结构升级和优化上取得了较大成绩.对西部地区1997-2006年的相关工业数据进行了分析,从总量、结构以及比较优势等方面加以把握,归纳出西部地区工业发展的几个显著特点以及成因,提出一些对策思路,主要包括:培育国家政策扶持机制,强化科技投入增长的保障机制,建设具有西部特色和优势的区域创新体系,健全金融体系等.     

袋式除尘器在沥青混凝土搅拌设备上的应用

分析了沥青混凝土搅拌设备的构成以及生产沥青混凝土的工艺及烟尘特点;通过应用工程实例,指出袋式除尘器是沥青混凝土搅拌设备最理想的除尘系统之一。     

大尺寸大孔径TiO_2/SiO_2光催化剂的制备及甲醛去除研究

以大孔径SiO2为载体,通过钛酸丁酯溶液的浸渍、原位水解以及高温煅烧制备出大尺寸、大孔径的TiO2/SiO2光催化剂。利用自制空气净化装置对室内甲醛的清除进行研究,分别考察了TiO2的百分含量、紫外光光强、温度、湿度和空气流量等不同条件下TiO2/SiO2光催化剂对除去甲醛效率的影响。结果表明,反应温度从10～50℃依次升高,去除率逐渐下降。在相对湿度为50%,TiO2负载率为55.6%,流量为8 m3/h时,甲醛的最佳除去率达96.5%;经过7周时间的考察,发现TiO2/SiO2光催化剂的催化活性没有明显的下降。     

我国废钢加工装备发展现状与展望

以绿色经济和循环经济的重大需求为背景,系统阐述了废钢加工装备的现状与发展,详细介绍了废钢加工装备的种类与用途,分析并总结了废钢加工装备的应用现状,指出了废钢加工装备以及废钢加工行业的发展方向。