电厂袋式除尘器滤袋故障分析及处理

以北京高井热电厂为对象,运用故障树分析的方法,对袋式除尘器及滤袋失效进行了故障树分析,并将之演变为成功树,提出了防止滤袋失效的措施。     

广元实现科学重建的必由之路:发展低碳经济

低碳经济是指在可持续发展理念指导下,通过技术创新、制度创新、产业转型、新能源开发等多种手段,尽可能地减少煤炭、石油等高碳能源消耗,减少温室气体排放,达到经济社会发展与生态环境保护双赢的一种经济发展形态。坚持以能源结构低碳化、产业发展低碳化和生态建设为主线,大力推进经济社会低碳恢复、低碳重建、低碳发展,全力打造低碳项目投资"洼地",努力把广元市建设成国家森林城市、国家生态宜居城市和全国低碳发展示范城市。     

An Objective Multiattribute Analysis Approach for Allocation of Scarce Irrigation Water Resources1

Zardari, Noor ul Hassan, Ian Cordery, and Ashish Sharma, 2010. An Objective Multiattribute Analysis Approach for Allocation of Scarce Irrigation Water Resources. Journal of the American Water Resources Association (JAWRA) 46(2):412-428. DOI: 10.1111/j.1752-1688.2009.00410.x Abstract: In this study, end user (farmer) and decision maker (water allocator) opinions were surveyed and a conjoint analysis (CA) based method was applied to the quantitative and qualitative data to assess the utility associated with each attribute that plays a role in forming the final thinking of the water users. The application of CA for estimating the utility for each attribute level is a novel approach, which helps provide a formal, objective basis for assigning relative scales for each attribute interval within a multiattribute decision-making model. The utilities (part-worths) obtained from the CA have a cardinal scale and were found to be comparable within and across the attributes. A farmers’ survey on five water allocation attributes was completed from 62 farmers and their opinions on the relative importance of attributes were elicited for a subarea of the Indus River Basin. The CA method was then applied to the survey data and the utilities for each attribute level were determined. This allowed, for instance, decisions to be made, which take account of the perceived value of the water and of the availability of local labor to work on the farm. Finally, these interval scales were used within the specification of the ELECTRE multiattribute decision-making method to provide a complete and objective ranking of nine irrigation districts so that the best decisions on water allocation could be made.     

Effects of Urban Spatial Structure,Sociodemographics, and Climate on Residential Water Consumption in Hillsboro,Oregon1

House-Peters, Lily, Bethany Pratt, and Heejun Chang, 2010. Effects of Urban Spatial Structure, Sociodemographics, and Climate on Residential Water Consumption in Hillsboro, Oregon. Journal of the American Water Resources Association (JAWRA) 46(3):461-472. DOI: 10.1111/j.1752-1688.2009.00415.x Abstract: In the Portland metropolitan area, suburban growth in cities such as Hillsboro is projected to increase as people seek affordable housing near a burgeoning metropolis. The most significant determinants for increases in water demand are population growth, climate change, and the type of urban development that occurs. This study analyzes the spatial patterns of single family residential (SFR) water consumption in Hillsboro, Oregon, at the census block scale. The following research questions are addressed: (1) What are the significant determinants of SFR water consumption in Hillsboro, Oregon? (2) Is SFR water demand sensitive to drought conditions and interannual climate variation? (3) To what magnitude do particular census blocks react to drought conditions and interannual climate variation? Using ordinary least squares multiple regression and spatial regression methods, we found that base use, representing indoor water use, is dependent on household size and that seasonal use, representing external water use is dependent on both education level and the size of the property’s outdoor space. Spatial analysis techniques determined that although the water demand of the study area as a whole is not sensitive to drought conditions, certain individual census blocks do respond with a higher magnitude of water use. The most climate-sensitive census blocks tend to contain newer and larger homes, and have higher property values and more affluent and well-educated residents.     

基于因子分析法优选河流水体中氮浓度预测方法的研究

定量的河流水体中氮浓度预测方法有很多种,如何优选出预测精度较高的方法一直是学术界多年来致力于研究的重点。本研究采用因子分析法对预测方法的精度评价指标进行分析,并建立了预测方法精度的评价模型,对回归分析法、神经网络法、灰色系统法和增长率统计法4种水体氮浓度预测方法进行综合评估,优选出精度较高的河流水体氮浓度预测模型——BP神经网络预测模型。结果表明,此评估模型对类似研究具有一定的参考价值,能为选择出合适的河流水体氮浓度预测方法提供依据。     

无碴轨列车运行引起的环境振动影响评价

对遂渝高速铁路无碴轨道试验段客车运行引起的环境振动进行了现场实测,根据实验数据分析得知:环境振动强度随距离增大而减小,随车速增大而增大,但车厢数量对环境振动强度影响不明显;环境振动主要频率范围为30～120 Hz,距轨道距离、车速、车厢数量对振动主要频率影响不显著;在轨道两侧31.9 m处,速度超过104.7 km/h列车环境振动强度超过GB 10070-1988要求,须采取措施隔振。     

基层环境监测站环境质量综合分析中存在的问题及对策

从环境监测为环境管理服务的职能入手,系统分析了基层环境监测站的环境质量综合分析工作现状,针对实际工作中存在的问题,提出了提高环境质量综合分析水平的对策建议。     

1949年以来中国环境与发展关系的演变

从IPAT方程出发,发现了环境影响随着经济发展或时间的演变依次遵循三个"倒U型"曲线规律,即环境影响强度的倒U型曲线、人均环境影响的倒U型曲线和环境影响总量的倒U型曲线。根据此规律,可以将该演化过程划分为四个阶段即:环境影响强度高峰前阶段、环境影响强度高峰到人均环境影响量高峰阶段、人均环境影响量高峰到环境影响总量高峰阶段以及环境影响总量稳定下降阶段。在环境演变的不同阶段,主要驱动力存在着明显的差异。在环境影响强度高峰前阶段,资源消耗或污染物排放增长更多地由资源或污染密集型技术进步驱动;在资源消耗或污染物强度高峰到人均资源消耗或污染物排放高峰阶段,主要由经济增长驱动;而在人均资源消耗或污染物排放高峰到资源消耗或污染物排放总量高峰阶段以及总量高峰以后的发展阶段,则主要由节约高效技术或污染减排技术进步来驱动。实证分析表明,中国目前环境与发展关系基本上处于经济增长主要驱动的环境影响强度高峰向人均环境影响高峰过渡阶段,这同时意味着中国要在短期内实现人均环境影响和环境影响总量高峰的跨越是异常困难的。     

中国环境效率评价及其影响因素实证研究

环境效率是实际污染排放和潜在污染排放的一种度量。本文运用包含污染排放的环境DEA模型,测算了1998-2007年中国省际环境效率,检验了其收敛情况。结果显示,全国环境效率总体水平较低,省际、区域间差距较大,表明现阶段实行地区间减排合作、推动环保技术在区域间扩散的现实必要性;分别从20032、005年开始,省际、区域环境效率差距逐渐缩小,存在一定的收敛趋势;同时,本文采用Tobit模型分析了影响环境效率因素,研究发现人均GDP对提高环境效率具有积极影响,而工业比重上升、财政分权度的提高以及贸易自由化对环境效率具有显著的负面影响。最后,基于实证研究的结果,就减少地区污染排放、提高我国环境效率给出了相关政策建议。