天津市医疗废物处置规划及策略研究

以天津市医疗废物管理现状为研究对象,对处置方式进行深入探讨,分析目前分散处置和集中处置存在的缺陷,提出"区域集中处置"设想;并运用模糊决策模型理论,建立较完善的处置方式评价指标体系,应用模糊综合评价模型得出"区域集中处置"是最佳的医疗废物处置方式,同时提出了相应的区域集中处置策略.     

大气环境质量的人工神经网络决策模型

为了对环境质量进行综合评价，运用误差反向传播算法的人工神经网络方法建立了环境质量评价的Ｂ－Ｐ决策模型。用此模型研究实例的大气环境质量，结果表明Ｂ－Ｐ网络用于环境质量评价具有客观性和实用性。     

企业环境污染行为的经济学研究

从经济学和委托代理理论出发构建非国有企业和国有企业环境污染行为产生的成本－收益决策模型，分析了污染行为产生的根本动因，并据此提出控制企业环境污染行为有效可行的政策。     

改良A2/O工艺的工程实践

城市污水处理厂采用多点进水的改良A2/O生物脱氮除磷工艺,取得了较好的脱氮除磷效果.在工艺运行中,通过采取有效的调控措施,保证了生化池脱氮除磷各反应单元的溶解氧要求,得到了较佳的工艺运行参数控制范围.     

北方某城市饮用水中多环芳烃的来源及其在水处理过程中的行为研究

采用固相萃取(SPE)样品富集前处理技术和气相色谱/质联联用(GC/MS)分析方法,对北方某工业城市给水系统中的多环芳烃类化合物的含量水平进行了研究.结果表明,该城市多环芳烃污染水平较高,但总浓度均未超过城市供水水质标准(CJ/T206-2005)中限值(2μg/L).近郊水库由于受到燃料燃烧产生的多环芳烃的污染,成为该市饮用水中多环芳烃污染的主要来源.传统的混凝-砂滤工艺对多环芳烃有较好的去除效果,总去除率可达55.9%.     

改良A^2/O工艺的工程实践

城市污水处理厂采用多点进水的改良A^2/O生物脱氮除磷工艺,取得了较好的脱氮除磷效果.在工艺运行中,通过采取有效的调控措施,保证了生化池脱氮除磷各反应单元的溶解氧要求,得到了较佳的工艺运行参数控制范围.     

长江流域水电站施工区生活垃圾特性及处理处置决策模型研究

随着中国长江流域水电开发进入高峰期,大量的建设人员进入水电站施工营地,导致施工区的生活垃圾处理处置问题日益凸显。通过对金沙江HPS1水电站、雅砻江HPS2水电站和HPS3水电站、大渡河HPS4水电站施工区生活垃圾状况的调查表明,水电站施工生活区生活垃圾人均产量平均值约为0.68kg/d;以厨余、渣土、纸类塑料和橡胶为主,电池等危险废物含量甚微;容重、低位热值、生物可降解物质量分数的平均值分别为358kg/m3、5 234kJ/kg、43.22%。结合施工区所处的环境条件和周围的市政设施现状,采用层次分析法和最小成本法,构建了长江流域水电站施工区生活垃圾处理处置决策模型,可为大型水电站开发过程中施工区生活垃圾全过程管理提供指导。根据决策模型计算得出,HPS1、HPS2、HPS4水电站施工区生活垃圾最优处理处置技术为卫生填埋,HPS3水电站以外运综合处理最优。     

自动控制技术在垃圾渗滤液处理中的应用研究

在国内垃圾渗滤液处理工艺的基础上,对其自动控制系统进行研究.主要介绍了该自动控制技术的设计方法及应用实例,并对自动控制及手动控制运行进行了对比研究.研究结果表明,该自动控制技术能较好地适应水质波动大的垃圾渗滤液,同时较好地解决了设备的防腐蚀问题.     

天津市医疗废物处置规划及策略研究

以天津市医疗废物管理现状为研究对象，对处置方式进行深入探讨，分析目前分散处置和集中处置存在的缺陷，提出“区域集中处置”设想；并运用模糊决策模型理论，建立较完善的处置方式评价指标体系，应用模糊综合评价模型得出“区域集中处置”是最佳的医疗废物处置方式，同时提出了相应的区域集中处置策略。     

柴油的指纹提取及基于其指纹信息的层次聚类分析

采用气相色谱/质谱方法对6种常见柴油中的主要生物标志物进行定量分析,并基于生物标志物指纹信息进行了层次聚类分析.结果表明:(1)柴油中含有丰富的饱和链烷烃生物标志物；双环倍半萜类生物标志物含量较高,分布特征显著,较好地补充了柴油中生物标志物的指纹信息.(2)柴油中美国环境保护署优先控制的多环芳烃含量较低,含有非常少量的...     

酸性矿井水治理方案灰局势决策择优法

简述了适用于煤矿高矿化度及酸性矿井水处理方法,介绍了用灰局势决策治理酸性矿井水的择优问题,并将其结果与作者曾提出过的用多目标模糊决策法作了比较.     

Using expectations of gain to bound the benefits from contaminated land remediation

Current risk-based decision-making techniques for prioritising contaminated land for clean-up have been criticized within Hungary for their failure to consider remediation benefits. A cost-benefit or risk-benefit approach is required to ensure that scarce resources for remediation are used efficiently. Problems arise because the credibility of non-market valuation information in Hungary is low, yet estimates of the value of non-market goods are required if cost-benefit approaches to decision-making are to be used effectively. This paper suggests using multiple techniques to bound 'true' values of non-market goods in order to enhance the potential use of environmental valuation information. A dichotomous-choice contingent valuation survey and a property-owner valuation survey were carried out in the vicinity of a hazardous waste site on the edge of Debrecen, Hungary. The aim of the study was to explore the potential for using these techniques to measure the benefits from contaminated site remediation in Hungary. The two surveys provide lower and upper bounds on expected benefits from clean-up aggregated results indicate that remediation benefits range from US$2.59 million to US$12.4 million.     

Comprehensive evaluation of land reclamation schemes in mining areas based on linguistic intuitionistic fuzzy group decision-making

Schemes to protect the geological environment and reclaim land are core requirements for an application for mining rights and complying with mining regulations. Mining enterprises must be supervised to ensure they fulfill their obligations. To guide oversight of such schemes and to provide references for their compilation and review, this study evaluates land reclamation schemes in mining areas using a multi-attribute group decision-making method. First, linguistic intuitionistic fuzzy numbers are used to describe the evaluation information. Considering the authority and preferences of experts, methods for determining expert weights in four cases are established. Max–min deviation then determines the attribute weights, and a method for linguistic intuitionistic fuzzy group decision-making is proposed. Finally, the practicability of this method is verified through a comparative analysis of land reclamation schemes for four mining areas in Sichuan Province, China. The results show the proposed method to give simple and effective evaluation, making it reasonably applicable to the compilation and review of land reclamation schemes.

     

The Relationship between Historic Industrial Site Use and Environmental Contamination

ABSTRACT

A methodology is presented for estimating the probability that particular classes of environmental contaminants will be of concern at brownfield redevelopment sites. These probabilities are predicted by a logistics model that is based on qualitative information about site history and status. This qualitative information comprises data that would be collected through a Phase I Environmental Site Assessment (ESA), including historic site use, current use and ownership status, and the nature of adjacent properties. The model is fit and demonstrated using a set of 59 former industrial sites in southwestern Pennsylvania that were collected from the files of the Pennsylvania Department of Environmental Protection (PADEP). Predictive models are developed for exceedances of contaminants as grouped into the following classes: metals, chlorinated hydrocarbons, fuel hydrocarbons, and PCBs. A procedure for estimating the parametric uncertainty of the model predictions is also illustrated. This method can serve as a starting point for more effective usage of existing Phase I ESA information and for evaluation of the benefit of obtaining additional site information. By increasing the decision-making value of existing (or inexpensive) data, this method can help to reduce the information asymmetry that may be an obstacle to redevelopment.     

Measuring the integrated risk of China’s carbon financial market based on the copula model

Measuring the risks of the carbon financial market is of great significance for investment decision-making, risk supervision, and the healthy development of the carbon trading market. Different from previous studies based on traditional VaR (value at risk), this study measures the integrated risk of China’s carbon market based on the Copula-EVT (Extreme Value Theory) -VaR model which can explore the unique strength of the copula and EVT-VaR models, of which the copula model is applied to capture the dependence between the different risk factors of carbon price volatility and macroeconomic fluctuation, while the EVT-VaR is used to explore the risk value. The empirical results show that the traditional VaR that only considers a single risk factor from carbon price volatility is likely to overestimate the risk. In addition, compared with other methods that do not consider the interdependence between risk factors, using the copula function to measure the carbon market integration risk is more effective, and backtesting also confirms this conclusion. This paper provides a specific reference for carbon emission companies to participate in the carbon market. It provides a theoretical basis for the supervision of the risk management of the carbon market.

     

人工神经网络在强化一级处理系统过程模拟与优化中的应用

针对化学强化一级处理系统(CEPT)处理废水时影响因素多,难以进行适当的控制和处理效果的预测等问题,建立起基于BP人工神经网络的CEPT法处理猪场稳定塘废水预测模型,并应用该模型对烧杯试验进行了模拟.结果表明,预测值和实测值吻合较好,模型对COD、总磷、浊度去除率预测的平均相对误差分别为7.5%、4.8%和4.9%.通过对pH值和絮凝剂投药量等可控参数进行优化计算,得到CEPT系统的最佳操作条件和最合理操作条件.该模型的建立为CEPT法处理废水工艺系统实现自动化控制提供了一条简便实用的途径.     

Optimization for municipal solid waste treatment based on energy consumption and contaminant emission

This paper analyzes the characterization of energy consumption and contaminant emissions from a municipal solid waste (MSW) treatment system that comprises transfer station, landfill site, combustion plant, composting plant, dejecta treatment station, and an integrated MSW treatment plant. The consumed energy and energy medium materials were integrated under comprehensive energy consumption (CEC) for comparison. Among typical MSW disposal methods such as combustion, composting, and landfilling, landfilling has the minimum CEC value. Installing an integrated treatment plant is the recommended MSW management method because of its lower CEC. Furthermore, this method is used to ensure process centralization. In landfill sites, a positive linear correlation was observed between the CEC and contaminant removal ratios when emitted pollutants have a certain weight coefficient. The process should utilize the minimum CEC value of 5.3702 kgce/t MSW and consider energy consumption, energy recovery, MSW components, and the equivalent of carbon dioxide emissions.     

Characterizing the risk assessment of heavy metals and sampling uncertainty analysis in paddy field by geostatistics and GIS

For many practical problems in environmental management, information about soil heavy metals, relative to threshold values that may be of practical importance is needed at unsampled sites. The Hangzhou-Jiaxing-Huzhou (HJH) Plain has always been one of the most important rice production areas in Zhejiang province, China, and the soil heavy metal concentration is directly related to the crop quality and ultimately the health of people. Four hundred and fifty soil samples were selected in topsoil in HJH Plain to characterize the spatial variability of Cu, Zn, Pb, Cr and Cd. Ordinary kriging and lognormal kriging were carried out to map the spatial patterns of heavy metals and disjunctive kriging was used to quantify the probability of heavy metal concentrations higher than their guide value. Cokriging method was used to minimize the sampling density for Cu, Zn and Cr. The results of this study could give insight into risk assessment of environmental pollution and decision-making for agriculture.     

人工神经网络在强化一级处理系统过程模拟与优化中的应用

针对化学强化一级处理系统（CEPT）处理废水时影响因素多，难以进行适当的控制和处理效果的预测等问题，建立起基于BP人工神经网络的CEPT法处理猪场稳定塘废水预测模型，并应用该模型对烧杯试验进行了模拟。结果表明，预测值和实测值吻合较好，模型对COD、总磷、浊度去除率预测的平均相对误差分别为7．5％、4．8％和4．9％。通过对pH值和絮凝剂投药量等可控参数进行优化计算，得到CEPT系统的最佳操作条件和最合理操作条件。该模型的建立为CEPT法处理废水工艺系统实现自动化控制提供了一条简便实用的途径。