基于遗传神经网络模型的大气环境质量评价方法

设计了用遗传算法训练神经网络权重的新方法，实验结果显示了遗传算法快速学习网络权重和全局搜索的能力，有效地解决了BP算法的局部收敛问题。误差反向传播的遗传——神经网络(GA—BP)模型用于大气环境质量综合评价，具有简便、准确、客观和适应性强等优点。     

黑箱理论用于甲醇废水的色谱分析

利用黑箱理论对色谱条件进行了优化。对于甲醇废水,由ＧＣ／ＭＳ定性,用ＧＤＸ－２０３＋５％聚乙二醇－２０Ｍ作固定相,ＦＩＤ检测。建立了分析甲醇废水中痕量级Ｃ１－Ｃ５醇的气相色谱分析方法。检测下限：Ｃ１－Ｃ３醇为１μｇ／ｍｌ,Ｃ４醇为３μｇ／ｍｌ。     

BP及RBF人工神经元网络对臭氧生物活性炭水处理系统建模的比较

运用BP和RBF人工神经元网络建立臭氧生物活性炭系统模型,考察了两个网络对水处理系统建模的适应性。研究表明,BP和RBF人工神经元网络的臭氧生物活性炭系统模型准确地描述了系统影响因素的关系,可以求出系统中臭氧的经济投量;用BP人工神经元网络建立水处理系统模型,泛化能力好,但逼近速度较慢;运用RBF人工神经元网络建模,泛化能力较差,但逼近速度快。该项研究克服了运用传统方法建模的不足,为实现水处理系统的优化设计提供了可行的途径。     

生态环境执法事件本体构建研究和实践应用

结合生态环境执法特点,建立生态环境执法事件本体模型,并对执法不同阶段的相关概念进行统一语义约定.该模型通过时间、环境、对象、动作、状态和语言描述六要素来描述执法事件,通过执法事件类、事件类间关系、事件推理规则和事件实例案件的四元组结构进行执法事件的表达.同时,以某热力工程公司运营的锅炉房超标排放烟气污染物的执法案件构建...     

Opportunities for redistributed manufacturing and digital intelligence as enablers of a circular economy

The linear production of consumer goods is characterised by mass manufacture by multinational enterprises and globally dispersed supply chains. The current centralised model has created a distance between the manufacturer and end user, limiting the opportunity for intelligent circular approaches for production and consumption. Through a mixed method approach, opportunities of circularity are explored for the consumer goods sector. The study presents four lenses to analyse three enterprises through a multi-case study approach to explore the potential of digital intelligence and redistributed manufacturing (RDM) as enablers of circular business models. In addition, the study examines whether Discrete Event Simulation can be used to evaluate the circular scenarios identified through quantifying flows of material that determine traditional economic value (cost/tonne). The mixed method approach demonstrates that, a qualitative systemic analysis can reveal opportunities for circularity, gained through implementing ‘digital intelligence’ and distributed models of production and consumption. Furthermore, simulations can provide a quantified evaluation on the effects of introducing circular activities across a supply chain.     

化工园区应急物资需求决策模型研究

为实现化工园区高效应急救援,针对化工园区应急物资需求及特点,从基本物资需求量、应急物资消耗量、应急物资损耗量3个方面,构建化工园区应急物资需求优先级指标体系;基于TOPSIS方法对各应急物资需求进行重要性分级排序,设计求解出应急物资需求量的BP神经网络预测模型。以化工园区历史事故案例进行分析,结果表明,BP神经网络应急物资需求预测结果和实际应急物资需求量相差很小,结合TOPSIS方法后的应急物资需求分级决策方案,能有效辅助应急物资的组织和调度,最大限度地发挥应急效用。     

The Role of Communication in Preparation for Wildland Fire: A Literature Review

Fire regimes are needed for healthy forest ecosystems, but citizens who live parallel to public forests do not always understand or favour the mechanisms land managers use for fire prevention and preparation. One way that land managers and citizens may share concerns and overcome barriers is through effective communication, allowing both parties to adequately prepare for a wildfire event. While collaboration between land managers and citizens has been well studied, the research on communication between citizens and among land managers is less prevalent yet equally important. The lack of research on communication between these parties creates an incomplete picture of the spectrum of communication that takes place in preparation for a wildland fire event. This paper reviews the current literature on communication between and among citizens and land managers before a wildfire event.     

城市高温热浪调控机制模拟研究

在全球气候变暖和城市化加速发展的共同影响下,高温热浪事件频繁发生、日趋严重。为了分析屋顶亮化、城市绿化和地表增湿在调节城市热力环境、缓解城市高温灾害中的作用,本文选择了2013年8月的高温天气过程,利用耦合了城市冠层模式的WRF模拟系统,采用屋顶亮化、屋顶绿化和地表增湿3种不同的调控方案模拟分析其对城市热环境、湿度和近地面热量通量的影响,及其不同的降温效果和影响时段。研究发现:(1)3种调控方案通过改变城市地区的辐射过程或者能量平衡过程,降低白天尤其是正午时分的近地面气温,可有效的减缓夏季城市地区的高温热浪。(2)采用地表增湿方案,当城市街道表面含水层厚度从0mm增加到3mm时,潜热通量迅速增加,感热通量迅速减少,降温迅速。这说明在白天用较少水量多次对城市街道增湿,是一种显著降温的有效方法。     

Consequence risk analysis using operating procedure event trees and dynamic simulation

Faults due to human errors cost the petrochemical industry billions of dollars every year and can have adverse environmental consequences. Unquantified human error probabilities exist during process state transitions performed each day by process operators using standard operating procedures. Managing the risks associated with operating procedures is an essential part of managing the overall safety risk. Additional operator training and safety education cannot eliminate all such faults due to human errors; therefore, we propose an operating procedure event tree (OPET) like analysis with branches and events specifically designed to perform risk analysis on operating procedures. The OPET method adapts event trees to analyze the risk due to human error while performing operating procedures. We consider human error scenarios during the procedure and determine the likely consequences by applying dynamic simulation. The modified event tree provides an estimate of the error frequencies.Operating procedure steps were developed, and potential operator faults were determined for two typical equipment switching procedures found in chemical plant operations. Then, dynamic simulation using Aspen HYSYS software was applied to determine the overpressure related consequences of each fault. Finally, the error frequencies resulting from those scenarios were analyzed using operating procedure event trees. We found that a typical ethylene plant gas header would overpressure with 0.6% frequency per manual dryer switch. Since dryer switches occur from every few days up to once per shift, these results suggest that dryer switching should be automated to ensure safe and environmentally friendly operation. Process dryer switching performed manually by operators opening and closing gate valves can be automated with control valves and a distributed control system. A sample distillation column was found to overpressure with 0.85% frequency per manual reflux pump switch.     

事故致因“2-4”模型中“事件”与“动作”的关系探讨

为进一步完善和简化事故致因"2-4"模型,对模型中的"事件"和"动作"之间的关系进行探讨。首先,通过文献分析,确定了事件、动作和状态的定义及属性,提出了动作是事件的观点并加以图示说明。然后,以北京交通大学"12. 26"较大实验室爆炸事故为案例,对图示进行解释,详细分析了上述观点的合理性。结果表明:动作和状态是人和物都具备的,并且状态包含在动作过程中;动作、状态、事故都是事件,事件是人或物的动作,或者动作过程中的某一瞬时状态,故"2-4"模型中动作和事件是等价的,可以相互替代或混用。