IFTCIP: An Integrated Optimization Model for Environmental Management under Uncertainty

In this study, an interval-fuzzy two-stage chance-constrained integer programming (IFTCIP) method is developed for supporting environmental management under uncertainty. The IFTCIP improves upon the existing interval, fuzzy, and two-stage programming approaches by allowing uncertainties expressed as probability distributions, fuzzy sets, and discrete intervals to be directly incorporated within a general mixed integer linear programming framework. It has advantages in uncertainty reflection, policy investigation, risk assessment, and capacity-expansion analysis in comparison to the other optimization methods. Moreover, it can help examine the risk of violating system constraints and the associated consequences. The developed method is applied to the planning for facility expansion and waste-flow allocation within a municipal solid waste management system. Violations of capacity constraints are allowed under a range of significance levels, which reflects tradeoffs between the system cost and the constraint-violation risk. The results indicate that reasonable solutions for both binary and continuous variables have been generated under different risk levels. They are useful for generating desired decision alternatives with minimized system cost and constraint-violation risk under various environmental, economic, and system-reliability conditions. Generally, willingness to take a higher risk of constraint violation will guarantee a lower system cost; a strong desire to acquire a lower risk will run into a higher system cost.     

A Model for Landscape Planning Under Complex Spatial Conditions

We present a new mathematical programming framework that is adaptable to a variety of spatially explicit landscape problems in environmental investment, conservation, and land-use planning, transport planning, and agriculture. As part of capturing spatial interdependencies, the framework considers decision variables at two levels, finely spaced grid cells and landholdings. We applied the framework to an environmental investment problem using objective functions representing biodiversity and carbon sequestration. We also tested the model to optimize the path of a road through part of the landscape. Using the Nambucca case study in eastern Australia, we applied a hybrid greedy randomised adaptive search procedure (GRASP) to find solutions to the model.     

降尘监测点位优化应用研究

以上海市长兴岛的环境空气降尘点位为例,采用聚类分析法对点位进行优化分析,快速完成点位的分类;再引入主成分分析法进行分析,不仅验证了聚类分析结果,并可根据原信息量需要保留的比例,来合理确定优选的类别数,使得优化调整的过程更为科学,结果也更为可信。     

灰色聚类法在大气环境评价中的应用及与其它方法的比较

髟灰色聚类法对乌市和昌吉市的大气环境质量进行了评价，并就污染因子的权重问题与其它评价方法进行了比较，指出了其它方法处理权重的局限性和不合理性，肯定了灰色聚类法对要权重的处理方法。     

用黑麦幼苗法测定土壤中污染元素的生物有效性

本文对全国污灌区１２个土样中Ｃｄ形态与生物有效性的试验表明，Ｃｄ的交换态，吸附态，有机结合态均有效，且有机结合态最为有效，对紫阳县富硒土壤的试验表明：黑麦幼苗中的总Ｓｅ量与０．１ｍｏｌ／１ＫＨ２ＰＯ４的浸提量最为相关，从而推荐该法为酸性土壤有效Ｓｅ的浸提方法，对西安污水厂污水污泥在娄土上不同施用量的试验表明：幼苗中Ｎ，Ｐ随施用量增加而增加，Ｎ，Ｐ的有效率分别为５０－７０％及１５－２８％；黑麦幼苗中     

环境空气自动监测方法检出限相关问题探讨

探讨了环境空气自动监测中实际评估方法检出限的意义,详细介绍了常规气态污染物自动监测方法检出限的评估方法。并以EC 9850型SO2分析仪为例,说明了环境空气自动监测的测定步骤和方法检出限的计算。     

项目EIA与区域环境规划的协调途径探讨

通过对项目ＥＩＡ与区域环境规划的概念,性质,内容,方法及在环境管理中作用的论述,指出了二者在实施中存在的问题,阐明了它们的特点与相互关系,同时结合我国当前的环境状况与面临的形势及对环境管理新的要求,提出了在今后的实施中应注意协调的原则和方法。     

BOD测定中微生物传感器法与稀释接种法的比较

用微生物传感器快速法和稀释接种法对地表水和污水处理厂出水中的生化需氧量(BOD)进行了测定,用数理统计的方法对两种方法测定的结果进行了比较。     

大连城市环境评价与城市发展定量研究

通过对大连城市环境系统的考察,设立了完整的评价指标体系,运用模糊优选理论建立模糊评价模型,对大连城市环境进行了定量研究,并结合经济和城市化情况进行了分析。研究结果表明:城市环境质量总体上是在逐年提高的,但从2002年以来发展较为平缓。经济和城市化情况有较大发展,但仍有不足之处。     

用磷酸铵镁沉淀法去除沈阳老虎冲垃圾渗滤液中的氨氮

叙述了磷酸铵镁沉淀法去除垃圾渗滤液中氨氮的基本原理,分析了MAP法对氨氮的去除效果,对比了不同的镁盐及不同的反应时间对氨氮的去除效率。结果表明,MAP法对氨氮的去除效率高,产物中重金属的含量低。同时,氧化镁比氯化镁具有更好的氨氮去除综合优势。