知识经济与环境保护

阐述了知识经济的概念及其主要特征，分析了知识经济给环境保护带来的机遇，为迎接知识经济的挑战，上海制定出以发展高技术环保不业和培养高技术环保人才 中心的战略目标，为争２０１０年在达到申城环境保护第三阶段目标的同时，出现适应知识经济时代 环保新雏型。     

近20年来中国典型区域PM2.5时空演变过程

近20年来PM_(2.5)污染严重制约了中国可持续发展.长时间序列历史监测数据的缺失阻碍了相关研究.为此,本文以四大典型区域2013~2016年的PM_(2.5)浓度监测值和2000~2016年MODIS AOD数据、边界层高度、温度等气象数据作为基础数据,将反向人工神经网络和支持向量回归机两种算法相结合,构建组合模拟模型,并利用地理空间分析技术实现近20年来PM_(2.5)浓度历史变化过程的情景再现.研究结果表明,组合模型具有较低的误差和更高的泛化能力;时空分析结果表明,2000~2010年京津冀和东三省PM_(2.5)浓度持续增长,珠三角PM_(2.5)浓度缓慢下降,3个研究区PM_(2.5)污染范围呈扩大趋势,长三角PM_(2.5)浓度值及污染范围基本保持稳定.2012年4个研究区PM_(2.5)浓度值降低且污染范围缩小,但2013~2016年PM_(2.5)浓度略微上升后又下降,高污染范围缩小,这与国家采取PM_(2.5)区域联防等治理措施有关.     

地震灾后重建中的多元化资金支持研究

本文以汶川地震为背景,针对灾后重建资金需求量大、持续时间长的特点,提出灾后重建资金来源应以财政资金为引导,走多元化的道路;并分别从财政资金支持、信贷资金支持、社会资金支持、国外资金支持、保险资金支持、证券市场资金支持的角度进行分析,提出了在财政资金引导下,切实可行的多元化资金支持建议.     

纳米TiO_2-Al_2O_3负载CuMnO_x对甲苯的催化燃烧

研究采用改进的溶胶-凝胶法制备了TiO2-Al2O3复合载体,并用浸渍法制备CuMnOX/TiO2-Al2O3催化剂,通过对甲苯废气催化燃烧的实验,分别考察了Cu-Mn负载量、Cu/Mn摩尔比、焙烧温度及载体对催化剂制备过程及催化剂活性的影响。实验结果表明:活性组分负载量25%,铜锰活性组分的配比Cu:Mn=1:2,焙烧温度500℃是浸渍法制备CuMnOX/TiO2-Al2O3催化剂较佳的工艺条件;XRD衍射图谱表明,500℃下铜锰尖晶石的存在是催化剂催化活性优良的主要原因;由复合载体制备的CuMnOX/TiO2-Al2O3催化剂比单一载体制备的CuMnOX/Al2O3催化剂具有更高的甲苯转化率,其T99比单一载体要低20℃以上。     

GIS在化工园区事故应急救援辅助决策中的应用

采用GIS平台与应急决策支持技术相结合,以园区高危工艺和重大危险源作为分析对象,开发化工园区安全管理系统中的应急救援辅助决策模块,针对园区内高危工艺或重大危险源事故后果预测与事故应急救援管理的科学性和有效性,扩展为对整个化工园区的事故风险管理与事故应急救援辅助决策支持。运用该模块可实现园区内突发事故后果预测、最优救援和疏散路径规划、应急辅助决策方案生成,有效提高化工园区事故救援的科学性和效率,减少人员伤亡和财产损失,提高化工园区安全管理水平。     

种族鱼群优化支持向量机序列理论监测尾矿坝

为监测预警尾矿坝的变形位移,提出基于结构风险最小化理论的支持向量机进行学习预测。通过采集有效数据,对时间序列数据进行归一化序列处理,然后采取种族鱼群选择向量机参数,对处理后的数据进行支持向量机回归预测。将该理论应用到某尾矿坝监测系统,得到了较为准确的预测结果,表明该理论充分利用了数据的统计特性,精度和泛化能力都得到了明显提高,可作为尾矿坝监测系统的有效指导。     

移动通风收尘装置在炼铁厂的应用

本文主要介绍移动通风收尘装置的关键技术性能及其成功应用的经验,对目前应用效果不好的原因进行了系统分析,提出了几点建议,对相似工程具有一定的借鉴意义。     

Analysis of occupational accidents: prevention through the use of additional technical safety measures for machinery

This article presents an analysis of results of 1035 serious and 341 minor accidents recorded by Poland's National Labour Inspectorate (PIP) in 2005–2011, in view of their prevention by means of additional safety measures applied by machinery users. Since the analysis aimed at formulating principles for the application of technical safety measures, the analysed accidents should bear additional attributes: the type of machine operation, technical safety measures and the type of events causing injuries. The analysis proved that the executed tasks and injury-causing events were closely connected and there was a relation between casualty events and technical safety measures. In the case of tasks consisting of manual feeding and collecting materials, the injuries usually occur because of the rotating motion of tools or crushing due to a closing motion. Numerous accidents also happened in the course of supporting actions, like removing pollutants, correcting material position, cleaning, etc.     

不同SAPO分子筛负载MnOx催化剂的低温NH3-SCR性能研究

以磷酸硅铝分子筛SAPO-5、SAPO~(-1)1和SAPO-34为载体,采用乙醇分散法制备了用于低温氨选择性还原(NH_3-SCR)NO_x的分子筛负载MnO_x催化剂.活性测试结果显示,3种分子筛催化剂均展现出优良的NH_3-SCR活性,但三者在低温区间的SCR活性存在较明显差异,其SCR活性顺序如下:MnO_x/SAPO-34MnO_x/SAPO-5MnO_x/SAPO~(-1)1.借助XRD、N2吸附-脱附、XPS、H2-TPR、NH_3-TPD、NH_3FT-IR等技术对催化剂的表面活性物种及表面酸性等进行表征分析,结果表明,MnO_x主要以无定型状态分散于载体上,负载后载体的比表面积和孔体积均有所下降.XPS和H2-TPR分析证实,不同分子筛载体上MnO_x的表面浓度与氧化态明显不同.NH_3-TPD和NH_3FT-IR分析揭示了催化剂表面均存在Bronsted酸位和Lewis酸位,其中,Lewis酸性位对低温SCR反应起着关键作用.研究表明,催化剂的催化性能会因载体不同而存在差异,高Mn4+表面浓度和丰富的Lewis酸性位对催化剂在低温区间实现优良的催化活性尤为重要.     

A Water Allocation Decision‐Support Model and Tool for Predictions in Ungauged Basins in Northeast British Columbia,Canada

Pressures on water resources due to changing climate, increasing demands, and enhanced recognition of environmental flow needs result in the need for hydrology information to support informed water allocation decisions. However, the absence of hydrometric measurements and limited access to hydrology information in many areas impairs water allocation decision‐making. This paper describes a water balance‐based modeling approach and an innovative web‐based decision‐support hydrology tool developed to address this need. Using high‐resolution climate, vegetation, and watershed data, a simple gridded water balance model, adjusted to account for locational variability, was developed and calibrated against gauged watersheds, to model mean annual runoff. Mean monthly runoff was modeled empirically, using multivariate regression. The modeled annual runoff results are within 20% of the observed mean annual discharge for 78% of the calibration watersheds, with a mean absolute error of 16%. Modeled monthly runoff corresponds well to observed monthly runoff, with a median Nash–Sutcliffe statistic of 0.92 and a median Spearman rank correlation statistic of 0.98. Monthly and annual flow estimates produced from the model are incorporated into a map‐ and watershed‐based decision‐support system referred to as the Northeast Water Tool, to provide critical information to decision makers and others on natural water supply, existing allocations, and the needs of the environment.