含风电的电力系统低碳经济调度

含风电场的电力系统调度是一个多目标优化问题。运用机会约束方法,建立了包括低碳化和发电成本两个目标函数的调度模型,在充分考虑环境保护效益的同时,提出了风险成本的概念,使得发电成本更切合工程实际。在改进自适应遗传算法的基础上,引入了pareto最优解集方法,充分发挥了遗传算法的全局搜索能力和pareto求解多目标问题的潜力。通过实际调度案例验证了所提算法的合理性。     

滨海石化项目环境综合风险评估方法研究

研究针对国内目前的研究现状,运用环境风险评价指数法建立滨海石化项目环境风险评估体系,采用层次分析法和熵权法结合的组合赋权法,结合专家咨询法进行指标的修改与完善,运用线性加权组合法对评估体系中指标权重的赋值,并计算滨海石化项目的环境风险等级,确定项目的风险强弱.实例分析表明环境风险管理在环境风险的产生和预防占有十分重要的地位,通过加强和完善环境风险的管理体系,结合环境因素的敏感程度及风险源的产生和影响,能降低环境风险及事故的影响程度.     

几种果粮间作人工植物群落生物生产力的动态变化及其优化调控

为解决果粮间作经营的中后期常出现的作物减产和资源浪费的矛盾,有必要分析果粮人工植物群落中各生态元的时空变化过程,揭示果粮间作经营中矛盾的产生、发展乃至激化的过程,寻求合理的间作作物组合,并进行优化调控,在岷江上游干旱河谷区,选择处于不同经营阶段（３ａ,５ａ,１０ａ,１８ａ,２８ａ）而经营管理条件基本一致的的９种苹果与粮食作物间作模式,调查测定了每一模式各阶段的果树的生长及其苹果产量,各间作粮食作物的生物量、总生物量、作物固定的总能量及其光能利用率、经济产量和经济收入等指标,揭示了苹果和各粮食作物２８ａ内的生物生产力的动态变化及其特点,找到了果树不同经营阶段的合理间作物组合,提出了该区不同经营阶段的最佳模式类型．对果粮间作的作用、理论基础及优化调控指标及其不确定性等问题也进行了讨论     

基于最优尺度地理探测的长三角有机污染物时空分布驱动因素分析

场地污染对人体健康和生态环境造成了严重危害,理解其时空分布规律是污染评估和场地修复的基础.为此基于场地采样数据,利用最优尺度地理探测器分析长三角地区有机污染物时空分布规律及其驱动因素.结果表明:①长三角场地有机污染物空间分布存在显著的尺度效应,其最佳地理探测尺度格网为8000 m;②长三角污染物空间分布的主控因子最主要来源于生物场,其次来源于化学场;③在土壤0~20 cm深度,蔗糖酶含量、脲酶含量、微生物量氮、全氮含量和离子交换量等对有机污染物空间分布的解释力较大.在土壤20~40 cm深度,对有机污染物空间分布解释力较强的因子是土壤湿度、人口和全氮含量等.随着土壤深度的加深,水动力场的因子解释力增强.④春季里人口、全氮含量和多酚氧化酶含量等对有机污染物空间分布解释力较强.秋季里有机污染物的空间分布更复杂,因子之间表现出更强烈的非线性增强现象和双因子增强现象.     

一种提取氧化葡萄糖酸杆菌山梨糖脱氢酶的简单方法

利用表面活性剂TritonX-100建立一种提取和测定氧化葡萄糖酸杆菌（Gluconobacter oxydans)L-山梨糖脱氢酶（L-sorbose dehydrogenaseSDH)活性的简便方法，最适提取条件为：TritonX-100浓度ψ（Triton)/%=0.3。提取温度θ=4℃，处理时间t/h=6-10h；用于提取的菌悬液D550nm范围0.090-0.252。该方法提取效率为细胞碎片法的97.83%。图2表2参7     

重庆市可持续发展指标体系的设计和评价

本文从可持续发展目标出发,建立反映重庆市可持续发展的存量,质量,结构与变动度指标体系,应用层次分析法,模糊综合评判法及功效系数法对重庆市可持续发展进行了定量分析,并确定了可持续发展的满意值和不允许值。力图为重庆市可持续发展指标体系的评价和理论研究提供一套可行的方法。     

A dynamic model for intertemporal allocation of old-growth forests in the Pacific Northwest

Across the globe, continued policy debates regarding the management of old-growth forests center around the difficult task of balancing economic and ecological considerations. Though the forests of the Pacific Northwest United States are among the most studied old-growth ecosystems, ecological and economic analyses have yielded public land management directives that remain controversial. Specifically, the recently adopted Northwest Forest Plan lacks explicit goals for maintaining intergenerational equity for the use of forest resources and the diversity of old-growth ecosystems. Unlike previous studies which rely on monetary quantification of costs and benefits, this study develops and applies a conceptual framework for evaluating socially optimal Pacific Northwest old-growth forest utilization strategies. Conditions for the optimal management of old-growth forests are derived using dynamic programming. The objective function synthesizes relevant biological and economic attributes of the old-growth allocation problem. Results in the form of extraction paths are compared given social pressure for consumptive and non-consumptive benefits, as well as different planning horizons, rates of social time preference, and environmental variance. Lengthening the planning horizon results in a vast divergence of optimal policies in the absence of discounting. Extraction rates appear to approach zero as the planning horizon approaches infinity. While higher rates of social time preference increase the rate of extraction, forest stocks remaining at the terminal time period equal levels remaining with a lower discount rate. Increasing environmental variance results in a higher level of stock remaining at the terminal time period. This analysis, while specific to the old-growth controversy of the Pacific Northwest, does provide general guidelines for addressing similar problems of multiple uses of natural areas, particularly where such uses are mutually incompatible, or where one use may be irreversibly destructive to another.     

基于层次分析法的未确知测度理论泥石流危险性评价

将未确知测度理论与层次分析方法相结合用于评价泥石流危险性。根据泥石流危险性的影响因素和等级划分标准,选取泥石流规模、泥石流发生频率、流域面积、主沟长度、最大相对高差、流域切割密度、主沟床弯曲系数、泥砂补给长度比、24小时最大降雨量、人口密度等10个指标作为泥石流危险评价因子,利用未确知测度理论建立泥石流危险性评价指标的未确知测度函数,通过层次分析方法确定各评价指标的权重,依据置信度识别准则对泥石流危险性进行评价,并结合实例进行了对比分析。研究结果表明,基于层次分析方法的未确知测度理论的评价方法评价过程合理、置信度高、结果可靠,为泥石流危险性评价提供了一种新的方法     

Evaluation of Material Biodegradability in Real Conditions–Development of a Burial Test and an Analysis Methodology Based on Numerical Vision

This work validated a burial protocol for in situ testing and presents a robust, repeatable and time-saving technique to measure degraded areas in the sample, i.e. an image analysis method. 1440 specimens of degraded samples have been compiled in a data base. To this end, twenty samples presenting different levels of biodegradability (i.e. PHBV/HV, PLA, PCL, PCL-Starch, paper, PE, PE-Starch) were buried at 4 different locations and then disinterred at 4, 6, 9, 12, 18, and 24-month intervals. The biodegradation levels of these samples were determined by computing weight and area loss. Weight loss was measured after careful cleaning, whereas area loss was quantified using image analysis. Image analysis gives reliable information on visual pollution while only requiring a rudimentary and thus quicker cleaning of the samples.     

Effect of environmental parameters on the degradability of polymer films in laboratory-scale composting reactors

Previous research in our laboratory reported a convenient laboratory-scale composting test method to study the weight loss of polymer films in aerobic thermophilic (53°C) reactors maintained at a 60% moisture content. The laboratory-scale compost reactors contained the following synthetic compost mixture (percentage on dry-weight basis): tree leaves (45.0), shredded paper (16.5), food (6.7), meat (5.8), cow manure (17.5), sawdust (1.9), aluminum and steel shavings (2.4), glass beads (1.3), urea (1.9), and a compost seed (1.0) which is designated Mix-1 in this work. To simplify the laboratory-scale compost weight loss test method and better understand how compost mixture compositions and environmental parameters affect the rate of plastic degradation, a systematic variation of the synthetic mixture composition as well as the moisture content was carried out. Cellulose acetate (CA) with a degree of substitution (DS) value of 1.7 and cellophane films were chosen as test polymer substrates for this work. The extent of CA DS-1.7 and cellophane weight loss as a function of the exposure time remained unchanged when the metal and glass components of the mixture were excluded in Mix-2. Further study showed that large variations in the mixture composition such as the replacement of tree leaves, food, meat, and sawdust with steam-exploded wood and alfalfa (forming Mix-C) could be made with little or no change in the time dependence of CA DS-1.7 film weight loss. In contrast, substituting tree leaves, food, meat, cow manure, and sawdust with steam-exploded wood in combination with either Rabbit Choice (Mix-D) or starch and urea (Mix-E) resulted in a significant time increase (from 7 to 12 days) for the complete disappearance of CA DS-1.7 films. Interestingly, in this work no direct correlation was observed between the C/N ratio (which ranged from 13.9 to 61.4) and the CA DS-1.7 film weight loss. Decreasing moisture contents of the compost Mix-2 from 60 and 50 and 40% resulted in dramatic changes in polymer degradation such that CA DS-1.7 showed an increase in the time period for a complete disappearance of polymer films from 6 to 16 and 30 days, respectively.Guest Editor: Dr. Graham Swift, Rohm & Haas.Paper presented at the Bio/Environmentally Degradable Polymer Society—Second National Meeting, August 19–21, 1993, Chicago, Illinois.