Risk assessment of sour gas inter-phase onshore pipeline using ANN and fuzzy inference system – Case study: The south pars gas field

Nowadays, pipelines have been extensively used for transporting oil and gas for long distances. Therefore, their risk assessment could help to identify the associated hazards and take necessary actions to eliminate or reduce the risk. In the present research, an artificial neural network (ANN) and a fuzzy inference system (FIS) were used to prepare a new model for pipeline risk assessment with higher accuracy. To reach this objective, the Muhlbauer method, as a common method for oil and gas pipeline risk assessment, was used for determining important and influential factors in the pipeline performance. Mamdani fuzzy model was developed in Matlab software by considering expert knowledge. The outcomes of this model were used to develop an ANN. To verify the developed model, the inter-phase shore pipe of phase 9–10 refinery in the South Pars Gas field was considered as a case study. The results showed that the proposed model gives a higher level of accuracy, precision, and reliability in terms of pipe risk assessment.     

Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

高炉渣对Cd~(2+)的吸附性能

采用包头钢铁集团炼铁厂的高炉渣为吸附剂(粒径0.154 nm)对Cd2+进行吸附,运用SEM技术对吸附剂进行了表征,研究了初始Cd2+质量浓度、吸附剂加入量、吸附时间、吸附温度和废水pH对Cd2+去除率的影响,并探讨了吸附机理。表征结果显示:高炉渣吸附剂具有疏松多孔的特点,表面十分粗糙,比表面积较大。实验结果表明:当吸附温度为室温(28℃)、废水pH为7、初始Cd2+质量浓度为10 mg/L、吸附剂加入量为8 g/L、吸附时间为60 min时,Cd2+去除率达到98.55%;高炉渣对Cd2+的吸附符合拟二级动力学方程和Langmuir等温吸附模型,且吸附反应易发生。     

燃煤锅炉烟气脱硫废水处理技术研究进展

对目前国内外燃煤锅炉烟气脱硫废水处理的多种方法，如混凝－沉淀法、流化床法、人工湿地法、单质铁法、微滤膜法、生化法和改良混凝－沉淀法等进行了分析评述。研究发现，开发技术集成度大、流程短、药剂种类和用量少、一次性投资以及运营费用低的工艺技术是未来发展的方向，而改良混凝－沉淀法脱硫废水处理技术符合要求，是一项值得加强应用研究和推广的新技术。     

臭氧氧化处理页岩气钻井废水的机理与动力学

采用臭氧氧化法处理页岩气钻井废水经混凝沉淀后的出水(COD=759.63 mg/L),重点研究了废水中有机污染物的去除机理与反应动力学。实验结果表明:在废水pH为11.2、臭氧通入量为8 mg/min、反应时间为50 min的最佳工艺条件下,废水的COD去除率为42.51%;羟基自由基抑制剂CO_3~(2-)、HCO_3~-和叔丁醇的引入抑制了废水COD的臭氧氧化去除,尤其是叔丁醇的加入使COD去除率显著下降,说明废水中有机物的臭氧氧化去除过程遵循羟基自由基机理;臭氧氧化法对钻井废水中有机物的氧化去除过程符合表观二级反应动力学规律。     

石化装置安全仪表系统KooN表决结构的误跳车率定量分析

为了更准确量化安全仪表系统的误跳车率，基于联锁回路SIF中传感器、逻辑解算器、执行机构引发误跳车的不同失效机理和模型，考虑共因失效对误跳车率的影响，提出1种更符合实际并适用于异型KooN结构的新子系统误跳车率计算模型（STR of Non-identical Redundant System，SNRS）。针对SIF回路的误跳车率计算，建立了1种分析安全联锁SIF回路误跳车率（Reliability based Spurious Trip，RST）的计算框架。研究结果表明:以某聚丙烯装置第三反应器保护系统为例，将SNRS和RST方法与目前主流的多种计算方法进行数值计算对比，验证了方法的有效性，能够有效进行定量分析。     

Investigating the quantitative and qualitative status of effluent in the wastewater treatment plant in Iran Central Iron Ore

The aim of present study was to investigate the quality of the produced effluent from different units of the Iran Central Iron Ore in Bafq city and comparison of effluent with the standards. This study presents the physicochemical and biological parameters data of effluent of three Sequencing batch reactors (SBR) with a capacity of 160 m³?d^?1. Most common parameters include pH, total suspended solids (TSS), total nitrogen (TN), total phosphorus (TP), biochemical oxygen demand (BOD₅), chemical oxygen demand (COD), heavy metals, and total coliforms and fecal coliforms as biological indicators. Then, for each SBR system, the average of each parameter was determined, and results were compared with the standard recommended by the Iranian Environmental Protection Agency. Based on the results, some of the parameters, including BOD₅, COD, and TSS in the wastewater treatment plant (WWTP) effluent, are higher than the permitted amount for discharge to the surface water. Considering the BOD₅, COD, and TSS concentration in WWTPs, the treated wastewater is only suitable for agricultural and irrigation use. Therefore, wastewater produced by Iran Central Iron Ore Co. will need additional treatment to achieve standard quality of water before discharge in surface water and adsorbent well.     

生态文明治理体系和治理能力现代化的几个核心问题研究

生态文明治理现代化是国家治理现代化的重要组成部分，本文从国家治理现代化出发，分析了我国生态文明治理体系和治理能力现代化的概念与内涵，针对当前生态文明治理体系和治理能力存在的五个方面问题，提出了生态文明治理体系现代化需要坚持完善的生态环境保护、资源高效利用、生态保护修复、生态环保责任等四个重点方向，提出了生态文明治理能力现代化需要改革创新的领导能力、决策能力、法治能力、科学精准治理能力、基础保障能力、市场化治理能力、公众参与能力等七大关键领域，这是加快推进生态文明治理体系和治理能力现代化的迫切需求。     

我国安全生产行政执法统计指标体系研究与应用

我国安全生产行政执法统计指标体系自施行以来，一直存在统计指标体系过于繁杂、部分统计指标较笼统，未充分体现安全生产重点工作及其成效等问题，创新改革安全生产行政执法统计制度具有重要的理论意义和实用价值。通过梳理安全生产行政执法统计指标体系演变脉络，在实地调研和现场访谈的基础上，基于PDCA理论提出以执法人员-执法对象-执法行为“三位一体”的安全生产行政执法统计指标体系，明确包含执法力量、执法对象、执法检查和事故查处等方面的综合评价指标，并在实践中得以应用和检验，为全面分析安全生产执法效能拓展空间，统计制度的后续修订和安全生产综合分析工作奠定基础。     

面向北京冬奥会的态势感知与指挥体系研究*

为全面掌控北京冬奥会运行情况，结合冬奥会概况构建具有全局全过程态势感知能力与指挥体系的运行保障系统。系统阐述冬奥会指挥体系构建的出发点、特点和要求，分析冬奥会态势感知构建基础框架，包括所需数据类型、层级体系和态势汇总共享技术要求。研究表明:体系充分考虑冬奥会及城市运行特点，是冬奥会顺利举办的重要保障，可为冬奥会提供系统构建指导，并为未来大型活动与城市运行态势感知体系构建提供理论支持。