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。     

SBR与SBBR法处理制药废水对比试验

制药废水属于高浓度含微生物难降解,对微生物有抑制作用的有机废水,水质水量波动大,本文对制药厂厌氧处理出水,分别采用SBR和SBBR法进行对比试验,研究其COD去除效果。当曝气量控制在0.02m3/h,沉淀时间在2h时,在2~10h反应时间段内,对比了SBR和SBBR法对CODCr的去除率。试验结果表明:总体上,SBBR法CODCr去除效果优于SBR,且更稳定,CODCr去除率能达到90%以上,而SBR在反应时间6h时达到CODCr最大去除率:82.03%后,出水中CODCr不降反升。     

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。     

TUGAI: An Integrated Simulation Tool for Ecological Assessment of Alternative Water Management Strategies in a Degraded River Delta

The development of ecologically sound water allocation strategies that account for the needs of riverine ecosystems is a pressing issue, especially in semiarid river basins. In the Aral Sea Basin, a search for strategies to mitigate ecological and socioeconomic deterioration has been in process since the early 1990s. The Geographic Information System–based simulation tool TUGAI has been developed to support the policy determination process by providing a simple, problem-oriented method to assess ecological effects of alternative water management strategies for the Amudarya River. It combines a multiobjective water allocation model with simple, spatially explicit statistical and rule-based models of landscape dynamics. Changes in environmental conditions are evaluated by a fuzzy habitat suitability index for Populus euphratica, which is the dominant species of the characteristic riverine Tugai forests. Water management scenarios can be developed by altering spatiotemporal water distribution in the delta area or the amount of water inflow into the delta. Outcomes of scenario analysis are qualitative comparisons of the ecological effects of different options for a time period of up to 28 years. The given approach utilizes different types of knowledge, from quantitative hydrological data to qualitative local expert knowledge. The main purpose of the tool is to integrate the knowledge in a comprehensive way to make it available for discussions on alternative policies in moderated workshops with stakeholders. In this article, the modules of the tool, their integration, and three hypothetical scenarios are presented. Based on the experience gained when developing the TUGAI tool, we propose that the general framework can be transferred to other areas where tradeoffs in water allocation between the environment and other water users are of major concern. The potential for a simulation tool to structure and inform a complex resource management situation by involving local experts and stakeholders in the development of possible future scenarios will become increasingly valuable for transparent and participatory resource management.     

探究土壤中萘提取液的浓缩方法比较

随着科学技术的发展,工业产品越来越丰富。工业工艺过程、缺氧燃烧、垃圾焚烧和填埋等生产活动,产生了大量的多环芳烃物质。这些物质通过复杂的物理迁移、化学及生物转化反应,进入土壤,严重污染环境,给人类及其生物的安全带来严重危害。如何快速、准确检测土壤中多环芳烃的含量,成为治理污染等相应策略实施的首要条件。当前测定土壤中多环芳烃的前处理方法有加压流体萃取、索式萃取、超声波萃取、微波萃取等。在这些成熟萃取手段中,浓缩又是一个关键步骤。目前浓缩的手段有KD浓缩、氮吹浓缩、旋转蒸发浓缩、旋转与氮吹合用浓缩。本文对四种浓缩手段对多环芳烃中的萘提取液进行浓缩分析比较,并获得了一定结论,望给行业内提供有效的参考意见。     

A Two-Stage Particle Swarm Optimization Algorithm for MPPT of Partially Shaded PV Arrays

The power-voltage (P-V) characteristic curves of a PV array are nonlinear and have multiple peaks under partially shaded conditions (PSCs). This paper proposes a novel maximum power point tracking (MPPT) method for a PV system with reduced steady-state oscillation based on a two-stage particle swarm optimization (PSO) algorithm. The grouping method of the shuffled frog leaping algorithm (SFLA) is incorporated in the basic PSO algorithm (PSO-SFLA), ensuring fast and accurate searching of the global extremum. An adaptive speed factor is also introduced into the improved PSO to further enhance its convergence speed. Test results show that the proposed method converges in less than half the time taken by the conventional PSO method, and the power is improved by 33% under the worst PSCs, which confirms the superiority of the proposed method over the standard PSO algorithm in terms of tracking speed and steady-state oscillations under different PSCs.     

An Approach for Evaluating the Repeatability of Rapid Wetland Assessment Methods: The Effects of Training and Experience

We sampled 92 wetlands from four different basins in the United States to quantify observer repeatability in rapid wetland condition assessment using the Delaware Rapid Assessment Protocol (DERAP). In the Inland Bays basin of Delaware, 58 wetland sites were sampled by multiple observers with varying levels of experience (novice to expert) following a thorough training workshop. In the Nanticoke (Delaware/Maryland), Cuyahoga (Ohio), and John Day (Oregon) basins, 34 wetlands were sampled by two expert teams of observers with minimal protocol training. The variance in observer to observer scoring at each site was used to calculate pooled standard deviations (SD_pool), coefficients of variation, and signal-to-noise ratios for each survey. The results showed that the experience level of the observer had little impact on the repeatability of the final rapid assessment score. Training, however, had a large impact on observer to observer repeatability. The SD_pool in the Inland Bay survey with training (2.2 points out of a 0–30 score) was about half that observed in the other three basins where observers had minimal training (SD_pool = 4.2 points). Using the results from the survey with training, we would expect that two sites assessed by different, trained observers who obtain DERAP scores differing by more than 4 points are highly likely to differ in ecological condition, and that sites with scores that differ by 2 or fewer points are within variability that can be attributed to observer differences.     

An Interval-Parameter Waste-Load-Allocation Model for River Water Quality Management Under Uncertainty

A simulation-based interval quadratic waste load allocation (IQWLA) model was developed for supporting river water quality management. A multi-segment simulation model was developed to generate water-quality transformation matrices and vectors under steady-state river flow conditions. The established matrices and vectors were then used to establish the water-quality constraints that were included in a water quality management model. Uncertainties associated with water quality parameters, cost functions, and environmental guidelines were described as intervals. The cost functions of wastewater treatment units were expressed in quadratic forms. A water-quality planning problem in the Changsha section of Xiangjiang River in China was used as a study case to demonstrate applicability of the proposed method. The study results demonstrated that IQWLA model could effectively communicate the interval-format uncertainties into optimization process, and generate inexact solutions that contain a spectrum of potential wastewater treatment options. Decision alternatives can be generated by adjusting different combinations of the decision variables within their solution intervals. The results are valuable for supporting local decision makers in generating cost-effective water quality management strategies.     

不同经济发展阶段区域经济发展差异比较

在介绍区域经济发展阶段各种理论及划分方法的基础上,通过计算1985-2004年间,广西崇左市、安徽滁州市、江苏南通市经济发展的变化轨迹,确定不同区域经济发展阶段.利用偏离-份额分析法对区域经济发展水平进行研究,表明崇左市经济结构较差,结构对于经济增长的贡献小且竞争能力较弱;滁州市经济中增长快的产业部门比重较大,总体经济结构较好,结构对于经济增长具有一定贡献,竞争能力较强;南通市经济中朝阳的、增长快的产业部门比重大,总体经济结构好,结构对于经济增长的贡献大,且各产业部门总的增长势头大,具有很强的竞争能力.建议:①崇左市参与中国-东盟自由贸易区、中越"两廊一圈"经济带以及泛珠三角经济区域,吸收泛珠三角经济区的产业转移,加快发展国际贸易.②滁州市应融入南京都市圈,吸引和承接东部地区的产业转移,注意生态城市建设,发展循环经济,实现经济和生态环境的综合协调发展.③南通市应把资源节约型的增长模式和消费方式作为经济增长方式转变的核心,提升产业的综合竞争力,最终实现经济社会协调发展.     

Process design optimization and risk analysis

Hazard identification and risk assessment are key aspects in process plant design. They are often applied in the final stages of the process at whatever the cost, unless financial constraints are imposed. However, a much better solution would be to introduce risk analysis earlier by including it in earlier stages of the design process, such as when the cost of a plant and the cost of any accidents that may occur are estimated. In this paper, an optimization methodology is proposed, in which both cost and risk (with a deterministic approach) are taken into account, to improve on the current situation. If a decision variable is chosen, an objective function will be established that makes it possible to analyze variations in overall costs, including the cost of the investment and the cost of accidents. This leads to an optimum situation in which costs are kept to a minimum. Of course, this optimization is subject to constraints, the greatest of which is the fact that risk must not exceed tolerated threshold levels. The procedure is explained and two examples, one involving a toxic release and the other a BLEVE/fireball, are used to illustrate it.