基于人工神经网络的气体泄爆最大超压预测研究

为解决传统经验公式在预测气体泄爆中最大超压出现时的较大偏差或过于保守的问题,提出使用人工神经网络预测气体泄爆最大超压。基于124组实验数据,采用BP与RBF神经网络,通过优化算法计算与迭代循环对泄爆样本中的影响因素进行降维与选择,并确定2类神经网络本身在学习与计算气体泄爆样本时的相关参数。结果表明:PCA（主成分分析法）在当前样本条件下的降维效果较差,而通过迭代对比确认气体泄爆样本中的5类特征全部保留时神经网络的训练模拟效果最好;通过对124组实验数据进行随机挑选训练集与测试集的训练模拟结果发现,神经网络对气体泄爆中最大超压的预测效果较好;通过对比Molkov提出的和经Fakandu等改进的NFPA 68经验公式以及2类神经网络的预测结果表明,神经网络相比于传统气体泄爆经验公式具有明显优势。     

Location selection of emergency supplies repositories for emergency logistics management: A variable weighted algorithm

With the development of the city, the number of establishments that are proposed or under construction is increasing year by year, and if they are industries that handle flammable, explosive, toxic, harmful, and dangerous substances, the public safety will face great threats, which will bring great challenges to emergency rescue work. Therefore, providing reasonable solutions to the problem of location selection of emergency supplies repositories are necessary for improving the emergency response efficiency in chemical industrial parks. A mathematical model for location selection of emergency supplies repositories in emergency logistics management are presented considering more actual factors. The optimization objectives of the model are to minimize total transport length and cost. And then a Variable Weighted Algorithm is designed to solve the model, where an auxiliary function was constructed with different methods of building weighting factors based on the theory and method of solving multi-objective optimization problems in operational research. Simulation results show the effectiveness and feasibility of the models and algorithms presented in this paper.     

区域环境司法协作的实践表征及发展理路探析

环境司法协作是促进区域、流域环境整体性治理的重要保障。但当前相关研究侧重某个重点区域、流域的环境司法协作分析,亟待对京津冀、长三角、成渝、长江、黄河等区域、流域环境司法协作实践进行全面的考察和规范分析。可以依据协作目的、内容、空间,将多元化的环境司法协作样态分为政策回应型协作与程序便利型协作、纵向协作与横向协作、省（区、市）内协作与跨省协作等。针对规范性、结构性、机制性等困境,区域环境司法协作需要从纵向协作迈向纵横协作结合、从协议型协作迈向立法型协作、从低位阶协作迈向高位阶协作。未来还需要加强区域、流域、陆海统筹下的立法协同,探索“共享法庭”及其配套治理体系与能力的纳入与应用,推动大数据、区块链、人工智能等新兴技术与司法的深度融合,从而对区域环境司法协作进行全面的规范性补强、结构性调适、协同配合机制的建构及数字化司法转型。     

城市污泥模拟堆肥过程中高温菌群的筛选、鉴定及降解效果

在城市污泥模拟堆肥过程的高温期通过平板培养法筛选出一组强化菌群.该组菌群不但可以分解污泥有机质,还可以分解淀粉、蛋白质、油脂、纤维素等大分子有机物.经鉴定,筛选出的菌种分别为地衣芽孢杆菌(B.licheniformis)、短小芽孢杆菌(B.pumilus)、高温放线菌(Thermoactinomyces)、凝结芽孢杆菌(B.coagulans)、枯草芽孢杆菌(B.subtilis);将菌株两两接种到平板,发现各菌株间可以共存.将上述菌种混合后添加到堆肥样品中,其有机质去除率、脱氢酶增加率、比耗氧速率SOUR增加率均高出不加菌样品40%以上,表明该组菌群具有使堆肥腐熟进程加快的应用潜力.     

Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Vehicle emission has been the major source of air pollution in urban areas in the past two decades. This article proposes an artificial neural network model for identifying the taxi gross emitters based on the remote sensing data. After carrying out the field test in Guangzhou and analyzing various factors from the emission data, the artificial neural network modeling was proved to be an advisable method of identifying the gross emitters. On the basis of the principal component analysis and the selection of algorithm and architecture, the Back-Propagation neural network model with 8-17-1 architecture was established as the optimal approach for this purpose. It gave a percentage of hits of 93%. Our previous research result and the result from aggression analysis were compared, and they provided respectively the percentage of hits of 81.63% and 75%. This comparison demonstrates the potentiality and validity of the proposed method in the identification of taxi gross emitters.     

城市工业COD总量优化分配研究

总量控制是控制污染源发展趋势、改善环境质量、实现经济社会可持续发展的重要途径,如何在适度公平的基础上寻求环境、经济、技术、资源等整体最优是环境科学领域的研究课题。本文以工业城市苏州市为例,研究其工业化学需氧量的排放特征,以基尼系数法分行业对其工业化学需氧量排放量的公平性进行评价,并将总量控制与资源、社会和经济相联系,以行业经济效益最大化和增加治理投资费用最小化为目标,利用多目标行业总量优化分配模型对苏州市的工业化学需氧量排放总量进行优化分配。研究结果表明,纺织业、化学原料及化学制品制造业、能源和水的生产与供应业、造纸及木材加工、医药制造业等行业是苏州市的化学需氧量重点排放行业,经优化分配后,COD排放总量削减了10%,新鲜用水量减少了41.81%,行业年总产值增幅达到214.69%,资源和水环境容量在满足一定的经济增长速度的条件下实现优化配置,总量控制制度在市场经济体制下发挥出尽可能大的环境效益和经济效益。     

柴油机冷起动辅助措施的匹配优化试验研究

重点论述了柴油机冷启动辅助装置燃油加热器的选型试验。对燃油加热器优劣的评价指标进行了分析研究,提出了燃油加热器的评价方法。最后通过样本CFD分析,优化了燃油加热器与发动机之间水路系统的匹配,实际效果进行了试验验证。     

Neural network forecasting of air pollutants hourly concentrations using optimised temporal averages of meteorological variables and pollutant concentrations

The new method for the forecasting hourly concentrations of air pollutants is presented in the paper. The method was developed for a site in urban residential area in city of Zagreb, Croatia, for four air pollutants (NO₂, O₃, CO and PM₁₀). Meteorological variables and concentrations of the respective pollutant were taken as predictors. A novel approach, based on families of univariate regression models, was employed in selecting the averaging intervals for input variables. For each variable and each averaging period between 1 and 97 h, a separate model was built. By inspecting values of the coefficient of correlation between measured and modelled concentrations, optimal averaging periods for each variable were selected. A new dataset for building the forecasting model was then calculated as temporal moving averages (running means) of former variables. A multi-layer perceptron type of neural networks is used as the forecasting model. Index of agreement, calculated for the entire dataset including the data for model building, ranged from 0.91 to 0.97 for the respective pollutants. As suggested by the analysis of the relative importance of the input variables, different agreements for different pollutants are likely due to different sources and production mechanisms of investigated pollutants. A comparison of the new method with more traditional method, which takes hourly averages of the forecast hour as input variables, showed similar or better performance. The model was developed for the purpose of public-health-oriented air quality forecasting, aiming to use a numerical weather forecast model for the prediction of the part of input data yet unknown at the forecasting time. It is to expect that longer term averages used as inputs in the proposed method will contribute to smaller input errors and the greater accuracy of the model.     

水泥厂煤粉制备系统袋除尘器的选型及应用

本文介绍了煤粉制备系统含尘废气的特性及治理技术的发展与应用,并从袋除尘器类型的确定、处理风量的确定、过滤风速的选取、过滤面积的计算和除尘器规格的选取等方面介绍了煤磨袋除尘器的选型,以及FGM（M）型气箱脉冲防爆袋除尘器、MMC型脉冲喷吹防爆袋除尘器和LPMC型低阻高效防爆袋除尘器在煤粉制备系统除尘中的应用推广情况。     

基于层次分析法的秦皇岛市垃圾填埋场选址评价

城市垃圾填埋场场址的选择,受到当地经济、交通、气候条件,自然地理条件,环境保护条件,水文地质工程地质条件等诸多因素影响,是一项十分复杂的工程。本文总结了秦皇岛市现有垃圾填埋场的基本情况、存在问题及其产生原因。鉴于层次分析法在多目标决策分析方面的成效,将其运用到秦皇岛市垃圾填埋场选址评价中,对研究区进行适宜性分区,依次划分为最佳场地区、适宜场地区、较适宜场地区、不适宜场地区。