河北省火电企业吨煤烟气排放量测定及污染动态预测

火电企业大气污染动态预测是大气污染控制的基础。采用现场实测法,对河北省36家火电企业101台机组锅炉进行现场监测,经统计分析给出不同装机容量吨煤烟气排放量,并与其他方法进行了比较,发现实测结果更为合理。在此基础上,建立吨煤SO₂、NO_x,烟尘排放量和烟气浓度的关系,为火电企业大气污染动态预测提供新的公式,对定量测定火电企业污染物排放提供参考。     

都匀市区小学校园声环境质量类型变化

2003年都匀市区各小学校园声环境质量状况监测和系统聚类分析结果表明,市区的小学校园声环境质量状况分为清静型、扰闹型、持续吵闹型和断续吵闹型共4种类型。到2012年,这种状况发生了很大的变化,断续吵闹型校园消失,持续吵闹型小学校园的数量则明显增加了。     

剑麻纤维基多孔炭材料的制备及其吸附氯苯的研究

以剑麻纤维为原料,通过简易的一步炭化活化法制备了一系列多孔炭材料,分别探究了3种温和的金属盐活化剂、活化剂与剑麻纤维的质量比和活化温度对炭材料的氯苯吸附量的影响,并通过BET、SEM、XRD、Raman、FT-IR、元素分析等手段表征其物理化学性质.结果表明,当采用CuCl₂为活化剂、CuCl₂与剑麻纤维的质量比为10∶1及活化温度为800℃时,制备得到的剑麻纤维基多孔炭(PCC)吸附性能最佳,其在氯苯浓度为1560 mg·m^-3时,吸附量达到856 mg·g^-1,而未经CuCl₂活化的炭材料(PC)的氯苯吸附量仅为15 mg·g^-1.氯苯吸附性能的提升主要归因于比表面积、孔容、无序性和表面含氧官能团的增加.此外,采用巨正则系综蒙特卡洛(GCMC)方法模拟氯苯分子在制备的多孔炭材料中的吸附行为,结果表明,该材料中孔径为0.5 nm的孔对氯苯分子的吸附能力最强,且对氯苯吸附起主导作用的为苯环中心和Cl原子与炭材料上连接含氧官能团的H原子之间的静电作用力.     

交通事故动态分析法在肇事逃逸案件侦查中的研究与实践

针对传统交通事故动态分析法在交通肇事逃逸案件侦查中投入高、效率低、精度差的缺点,笔者在信息主导警务理念的指导下,综合运用逻辑学、系统科学、社会学、心理学、情报科学相关原理,动态分析交通事故现场的痕迹、车辆行驶轨迹、道路交通环境、警情综合信息、驾驶人行为与逃逸心理,以及受害者损伤特征,准确掌握车辆或驾驶人局部特征,从而为侦破交通肇事逃逸案件提供精确的查缉信息,使警务行动实现精确用警、快速反应和精确打击的目标。笔者给出了利用动态分析法侦破交通肇事逃逸案件的流程和步骤;指出提高办案水平,迫切需要加强警务信息和社会信息的有效融合,研发专门系统,强化信息研判。     

应用模糊聚类方法进行四川国土分区研究

本文介绍采用模糊聚类方法进行四川省国土综合分区研究的情况和主要结果。提出将全省划分为8个国土区的结论,论述了各区的前景,探讨了定性与定量分区方法的先进性。     

COMPARISON OF RESERVOIR LINEAR OPERATION RULES USING LINEAR AND DYNAMIC PROGRAMMING1

ABSTRACT: Mathematical optimization techniques are used to study the operation and design of a single, multi-purpose reservoir system. Optimal monthly release policies are derived for Hoover Reservoir, located in Central Ohio, using chance-constrained linear programming and dynamic programming-regression methodologies. Important characteristics of the former approach are derived, discussed, and graphically illustrated using Hoover Reservoir as a case example. Simulation procedures are used to examine and compare the overall performance of the optimal monthly reservoir release policies derived under the two approaches. Results indicate that, for the mean detention time and the corresponding safe yield target water supply release under existing design of Hoover Reservoir, the dynamic programming policies produce lower average annual losses (as defined by a two-sided quadratic loss function) while achieving at least as high reliability levels when compared to policies derived under the chance-constrained linear programming method. In making this comparison, the reservoir release policies, although not identical, are assumed to be linear. This restricted form of the release policy is necessary to make the chance-constrained programming method mathematically tractable.     

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.     

Chemical Changes in Sediment Pore-Waters of an Acidic Mining Lake After Addition of Organic Substrate and Lime for Stimulating Lake Remediation

In the past five years, enclosures have beeninstalled in an acidic mining lake in Lusatia to investigate insitu remediation processes. They were treated with straw, withstraw and Carbokalk, or with Carbokalk alone, where Carbokalkis a by-product of the sugar industry (solid precipitate ofnon-sugars after lime clarification of extracted sugar beetjuice). Sediment samples were taken as cores to get informationabout the behaviour of organic and inorganic components insediment pore-water with depth. Vertical distributions of pH,soluble reactive phosphate, nitrate, ammonium, silica,aluminium, iron, manganese, calcium, magnesium, sodium,potassium, sulphate, and DOC were measured. The resultingprofiles, each consisting of 15 data points at differentdepths, were compared by cluster analysis. The similarities ofsediment cores from different treated enclosures relating toprofiles of chemical components were discussed. Increasedconcentrations of potassium and sulphate were found in pore-water after substrate treatment. The data imply dissolution ofpotassium iron sulphate hydroxide minerals (jarosite) after anincrease of pH caused by dissolution of lime and by sulphatereducing processes which were stimulated by organic substrateaddition.     

基于神经网络的温度预测

室内温度与诸多影响因素之间的非线性、复杂性等关系 ,给建模、预测带来了难度 ,引入了人工神经网络 ;利用人工神经网络的非线性、并行计算和自学习特性进行建模 ,实现了对温度模拟