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。     

中美环保产业对比分析研究

基于对中美两国环保产业的内涵、法律法规、经济政策及市场化发展情况等方面的比较和分析,探讨了中美两国环保产业发展中存在的异同点,针对我国环保产业发展中存在的不足提出了加快我国环保产业发展的政策建议。     

基于SCP模型的节能环保市场分析研究

从需求角度出发,区分了节能环保产业中三种不同类型的市场,然后以SCP模型为分析框架,对三种不同类型的市场结构、企业行为和绩效进行了分析和比较,归纳了节能环保产业中不同类型的市场所存在的问题和解决思路。     

环境公害的本土化解读与法律应对——以四川藏区矿产资源开发公害为对象

以四川藏区矿产资源的开发利用为研究对象,一方面,从环境公害本土化的视角解读四川藏区的资源开发公害问题;另一方面,从法律的价值和应对的视角对资源开发公害问题进行法律规制,以期对四川藏区生态环境的保护有所裨益。     

我国城镇居民环保事务参与的性别差异分析

从行为参与、管理参与和环境意识三个方面阐述了当前环保事务参与中存在的性别差异问题;从社会结构的视角分析了性别化对环保参与现状的影响。针对存在的问题和制约因素,从社会系统、社会资源和环境意识三个方面提出发展建议。     

杭州市环保系统人才发展现状与对策

对杭州市环保系统的人才总量、学历结构、专业结构、职称结构和年龄结构等方面作了较详细的分析;针对杭州市环保系统存在的人才总量不足、结构分布不合理和高层次人才匮乏等问题,提出了引进高层次人才、加强教育培训、壮大基层队伍等对策。     

唐山排污权交易模式浅析

对开展排污权交易的目的、意义、关键因素进行了分析,对唐山排污权交易的工作进程以及交易指标、交易主体、交易程序、指导价格、申购数量、交易范围、优先及限制条件等模式特点进行了阐述,以期为同类型城市开展排污权交易提供参考。     

遗传投影寻踪回归在城市环境质量评价中的应用

引入投影降维的思想,将遗传投影寻踪与回归分析技术运用到城市环境质量评价中。将此技术与神经网络方法进行实例比较,投影寻踪回归方法不但可以合理地作出环境质量的综合评价,而且消除了神经网络方法中类别判断不够精确的影响。     

Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande1

Abudu, S., J.P. King, Z. Sheng, 2011. Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande. Journal of the American Water Resources Association (JAWRA) 48(1): 10‐23. DOI: 10.1111/j.1752‐1688.2011.00587.x Abstract: This paper presents the application of autoregressive integrated moving average (ARIMA), transfer function‐noise (TFN), and artificial neural networks (ANNs) modeling approaches in forecasting monthly total dissolved solids (TDS) of water in the Rio Grande at El Paso, Texas. Predictability analysis was performed between the precipitation, temperature, streamflow rates at the site, releases from upstream reservoirs, and monthly TDS using cross‐correlation statistical tests. The chi‐square test results indicated that the average monthly temperature and precipitation did not show significant predictability on monthly TDS series. The performances of one‐ to three‐month‐ahead model forecasts for the testing period of 1984‐1994 showed that the TFN model that incorporated the streamflow rates at the site and Caballo Reservoir release improved monthly TDS forecasts slightly better than the ARIMA models. Except for one‐month‐ahead forecasts, the ANN models using the streamflow rates at the site as inputs resulted in no significant improvements over the TFN models at two‐month‐ahead and three‐month‐ahead forecasts. For three‐month‐ahead forecasts, the simple ARIMA showed similar performance compared to all other models. The results of this study suggested that simple deseasonalized ARIMA models could be used in one‐ to three‐month‐ahead TDS forecasting at the study site with a simple, explicit model structure and similar model performance as the TFN and ANN models for better water management in the Basin.     

An Ex Post Evaluation of Ohio’s Great Miami Water Quality Trading Program1

Newburn, David A. and Richard T. Woodward, 2011. An Ex Post Evaluation of Ohio’s Great Miami Water Quality Trading Program. Journal of the American Water Resources Association (JAWRA) 48(1): 156‐169. DOI: 10.1111/j.1752‐1688.2011.00601.x Abstract: Market‐based approaches to address water quality problems have resulted in only limited success, especially in trading programs involving both point and nonpoint sources. We analyze one of the largest point‐nonpoint trading programs – the Great Miami Trading Program in Ohio, administered by the Miami Conservancy District (MCD). Our evaluation focuses on the economic and institutional aspects of the program, including cost effectiveness, efficiency of bidding, transaction costs, trading ratios, and innovation. We use a unique dataset consisting of all bids from agricultural nonpoint sources and interviews of soil and water conservation district (SWCD) agents in the watershed. We find that the MCD’s reliance on county‐level SWCD offices to recruit and advise farmers has been essential to achieve relatively high rates of farmer participation. Additionally, the MCD is able to partly free ride on the administrative costs that SWCD offices receive to assist federal conservation programs, which is helpful to lower costs for a fledgling trading program. However, the involvement of SWCD offices reduced the potential cost savings from the reverse auction structure because some agents were able to learn about the threshold price over the six rounds of bidding and help farmers bid strategically. Overall, the program structure serves as an effective model for future trading programs in other regions that seek to involve agricultural nonpoint sources.