海南火山岩滤料曝气生物滤池工艺优化研究

本研究基于上向流曝气生物滤池污水处理系统,研究了该工艺不同气水比、不同水力停留时间、不同滤料高度层、反冲洗强度对污染物的处理效能的影响。结果表明,气水比为4∶1、水力停留时间2 h时,BAF出水中COD、NH+4-N和SS指标达到最佳;沿程污染物去除率随着滤料层高度的增加逐渐增大,当滤料高度大于1.6 m时趋于稳定,COD、NH+4-N和SS平均去除率分别达到80%、99%和80.3%。建议曝气生物滤池的反冲洗推荐程序为:先气冲(18 L/(m2·s)),单独气洗2~3 min;再气冲(18 L/(m2·s))加水冲(5 L/(m2·s)),联合反冲洗3~5 min;最后水冲(5 L/(m2·s)),漂洗5~8 min。     

基于多枢纽城际应急管理网络资源调度鲁棒优化

为了降低由于应急突发事件随机性带来的应急资源需求不确定性,在对基于Multi-HUB(多枢纽)城际应急管理网络机制研究的基础上,分析基于Multi-HUB城际应急管理网络信息传递和资源调度方式,建立以时间最小为目标的资源优化调度模型并鲁棒性地选择一级HUB点,通过Matlab7.0对优化调度模型及一级HUB点鲁棒性选择进行了数值仿真。研究表明:对Multi-HUB城际应急管理网络中的一级HUB点进行鲁棒性选择,能很好地对"都市圈"内应急资源进行优化调度,降低需求不确定性所带来的"都市圈"内资源无法有效整合的风险,从而有效地提高城市应急资源利用效率。     

Assessment of the efficiency and economic viability of various methods of treatment of sanitary landfill leachate

This study assesses the efficiency of various physico-chemical, biological and other tertiary methods for treating leachate. An evaluation study on the treatability of the leachate from methane phase bed (MPB) reactor indicated that at an optimum hydraulic retention time of 6 days, the efficiency of the reactor in terms of biological oxygen demand (BOD) and chemical oxygen demand (COD) removal was 91.29 and 82.69%, respectively. Recycling of the treated leachate through the municipal solid waste layers in the leachate recycling unit (LRU) resulted in a significant increase in the biodegradation of organics present in the leachate. Optimum BOD and COD removal efficiencies were achieved at the third recycle; additional recycling of the leachate did not produce any significant improvement. Physico-chemical treatment of the leachate demonstrated that alum and lime (Option 2) were more economical than coagulants lime and MgCO₃. A cost analysis of the economics of the various treatments revealed that the alternative treatment consisting of a MPB bed followed by a LRU and aerated lagoon is the most cost-effective treatment. However, the alternative consisting of a MPB followed by the LRU and a soil column, which is slightly more costly, would be the most appropriate treatment when adequate land is readily available.     

Application of Tabu Search Algorithm With a Coupled AnnAGNPS‐CCHE1D Model to Optimize Agricultural Land Use1

Abstract: A principal contributor to soil erosion and nonpoint source pollution, agricultural activities have a major influence on the environmental quality of a watershed. Impact of agricultural activities on the quality of water resources can be minimized by implementing suitable agriculture land‐use types. Currently, land uses are designed (location, type, and operational schedule) based on field study results, and do not involve a science‐based approach to ensure their efficiency under particular regional, climatic, geological, and economical conditions. At present, there is a real need for new methodologies that can optimize the selection, design, and operation of agricultural land uses at the watershed scale by taking into account environmental, technical, and economical considerations, based on realistic simulations of watershed response. In this respect, the present study proposes a new approach, which integrates computational modeling of watershed processes, fluvial processes in the drainage network, and modern heuristic optimization techniques to design cost effective land‐use plans. The watershed model AnnAGNPS and the channel network model CCHE1D are linked together to simulate the sediment and pollutant transport processes. Based on the computational results, a multi‐objective function is set up to minimize soil losses, nutrient yields, and total associated costs, while the production profits from agriculture are maximized. The selected iterative optimization algorithm uses adaptive Tabu Search heuristic to flip (switching from one alternative to another) land‐change variables. USDA’s Goodwin Creek experimental watershed, located in Northern Mississippi, is used to demonstrate the capabilities of the proposed approach. The results show that the optimized land‐use design with BMPs using an integrated approach at the watershed level can provide efficient and cost‐effective conservation of the environmental quality by taking into account both productivity and profitability.     

Determination of haloacetic acids concentrations in hospital effluent after chlorination by ion chromatography

The ion chromatography combined solid phase extraction (SPE) method was developed for the analysis of low concentration haloacetic acids(HAAs),a calss of disinfection by-products formed as a result of chlorination of hospital wastewater. The monitored HAAs included monochloroacetic acid, monobromoacetic acid, dichloroacetic acid, dibromoacetic acid and trichloroacetic acid. The method employed a sodium hydroxide eluent at a flow rate of 0.8 ml/min, electrolytically generated gradients, and suppressed conductivity detection. To analyze the HAAs in real hospital wastewater samples, C18 pretreatment cartridge was utilized to reduce samples' turbidity. Preconcentration with SPE and matrix elimination with treatment cartridges were investigated and were found to be able to obtain acceptable detection limits. Linearity, repeatability and detection limits of the above method were evaluated. The detection limits of monobromoacetic acid and dibromoacetic acid were 2.61 μg/L and 1.30 μg/L respectively, and the other three are ranging from 0.48 to 0.82 μg/L under 25-fold preconcentration. When the above optimization procedure was applied to three hospital wastewater samples with different treatment processes in Tianjin, it was found that the dichloroacetic acid is the major compound, and the growth ratios of the HAAs after disinfection by sodium hypochlorite were 91.28%, 63.61% and 79.50%, respectively.     

江苏省能耗结构优化及其节能与减排效应分析

综合考虑江苏省经济增长、能源节约与C02、SO2减排的目标,运用改善的GADS优化算法对江苏省能耗结构进行优化,并对比江苏省低碳发展的情景,测算了江苏省能源消费结构优化的节能减排效应.研究结果表明:①能耗结构优化主要表现为高碳能源低度化,低碳能源离度化的演变过程.煤炭仍占主导地位,且呈倒"U",型的发展趋势,2020峰值1.822×108 tce,而天然气与低碳能源在总量与结构上均呈上升趋势;②能源结构优化具有正负双向效应,一方面节能减排效应显著,2020年将节能2.244×108tce,CO2:减排1.275×108t,但难以实现2020年减排目标,还需其它方面的努力.另一方面由干能源成本等因素造成GDP较之于低碳情景将减少2.096×1012元;③以"低"代"商"的能源优化策略是转移环境压力的主要途径,但其先决条件是煤炭资源的清洁高效利用与新能源核心技术的突破.未来江苏省能源消费结构的优化应以煤炭资源的清洁、高效利用为主,同时加快风能、太阳能、生物质能等新能源资源的产业化、规模化发展.     

塔机起重作业夜间照明工效的BIM辅助优化研究

为提升塔式起重机施工作业的夜间照明工效水平,采用数学模型和BIM技术相结合的方法,以灯源的光通量及入射角为光学驱动参数,模拟眩光值、照度及其均匀度等光学变量,建立照明工效的光度学BIM辅助优化模型,优化起重作业照明灯源光学参数。研究结果表明：对塔式起重机施工作业区照明灯源光学参数进行组合优化后,夜间起重作业面照度及其均匀度显著提升,眩光值满足起重作业视觉环境条件。研究结果可为塔式起重机夜间起重作业照明方案设计提供科学依据。     

民航安全信息管理人员能岗匹配测评研究

为了给大数据环境下的民航企事业单位招聘、选拔和评价安全信息管理人员提供科学依据,基于胜任力内涵、数据生命周期理论与信息处理层次结构理论,构建以数据科学知识等为支撑、民航安全数据挖掘能力等为核心、民航安全信息管理态度为导向的民航安全信息管理人员胜任力概念模型与胜任力指标体系。运用贝叶斯优化BPNN的超参数,构建民航安全信息管理人员能岗匹配测评模型,并从数值仿真、趋势拟合方面进行模型验证,从均方根误差与算法耗时方面与单一BPNN和随机搜索优化BPNN对比性能。研究结果表明：所构建的测评模型可行性强、误差更小、收敛速度更快,能够更加客观准确地反映安全信息管理人员能岗匹配的实际情况。     

引信步进应力加速试验贮存寿命预测研究

目的 针对某机电引信加速寿命试验数据,采用传统统计分析方法存在计算量大、寿命预测精度难以保证的问题,开展与智能算法相结合的引信贮存寿命预测研究。方法 针对步进应力加速寿命试验数据,采用贝叶斯理论的环境因子法,对各级应力下的贮存时间进行折合计算。利用进化策略对粒子群算法进行改进,进而对所建立的BP神经网络预测模型的全局参数进行调整和优化,突破传统方法的局限。将折合后的试验时间、样本量、应力水平作为网络输入,失效数作为输出,来预测引信贮存寿命。结果 利用训练好的 BP神经网络预测引信在正常应力水平下的失效数,计算其贮存可靠度。在迭代402次后,模型找到最优解,且预测误差在1%以内。结论 步进应力加速寿命试验与智能算法相结合的方法计算过程简单,预测精度较高,可有效提高引信贮存寿命的预测精度。