Dynamic risk assessment for underground gas storage facilities based on Bayesian network

Loss of the underground gas storage process can have significant effects, and risk analysis is critical for maintaining the integrity of the underground gas storage process and reducing potential accidents. This paper focuses on the dynamic risk assessment method for the underground gas storage process. First, the underground gas storage process data is combined to create a database, and the fault tree of the underground gas storage facility is built by identifying the risk factors of the underground gas storage facility and mapping them into a Bayesian network. To eliminate the subjectivity in the process of determining the failure probability level of basic events, fuzzy numbers are introduced to determine the prior probability of the Bayesian network. Then, causal and diagnostic reasoning is performed on the Bayesian network to determine the failure level of the underground gas storage facilities. Based on the rate of change of prior and posterior probabilities, sensitivity and impact analysis are combined to determine the significant risk factors and possible failure paths. In addition, the time factor is introduced to build a dynamic Bayesian network to perform dynamic assessment and analysis of underground gas storage facilities. Finally, the dynamic risk assessment method is applied to underground gas storage facilities in depleted oil and gas reservoirs. A dynamic risk evaluation model for underground gas storage facilities is built to simulate and validate the dynamic risk evaluation method based on the Bayesian network. The results show that the proposed method has practical value for improving underground gas storage process safety.     

CFD-based assessment and visualization of the failure consequences of LPG tankers

This paper presents a simulation analysis of the explosions following an LPG leak and visualizes the consequences of the accident to reduce the consequences of the LPG leak explosion. Firstly, this paper proposes a CFD numerical simulation-based method for visualizing the consequences of LPG tanker failure. The method combines satellite maps and CFD numerical simulation data to visualize the consequences of LPG leaks and explosions, taking into account the influence of obstacles on the danger range of leaks and explosions; Secondly, this paper applies the method to a liquefied petroleum gas accident that occurred in the Wenling section of the Shenhai Expressway and performs CFD numerical simulation on the accident process and visualizes the consequences of the accident. Therefore, this method can provide a theoretical reference for the prior prevention of LPG accidents and the analysis of the consequences of accidents, as well as certain practical guidance instructive.     

Scenario derivation and consequence evaluation of dust explosion accident based on dynamic Bayesian network

In order to clarify the correlation between the evolution path of dust explosion accidents and emergency decision-making, and to accurately predict the disaster damage levels of various disaster bearing bodies. This paper extracts 56 key scenario elements from four aspects, namely state, answer, goal and environment, based on the analysis of typical dust explosion accident cases. At the same time, a general scenario evolution path of dust explosion accident is constructed. Using fuzzy number set theory and dynamic Bayes joint probability model, the accurate solution of scenario state probability was realized. With the help of accident cases and dynamic Bayes approach, the dust explosion consequence prediction index system and evaluation criteria were constructed, covering factors such as dust explosion intensity, casualties, direct economic losses, equipment damage, building damage, environmental damage and other factors. A polyethylene wax dust explosion accident in a city of China was used to verify the dust explosion accident scenario evolution model and consequences prediction model. The predicted results were in good agreement with the actual damage of various carriers of the accident, which indicated that the model could be used for dust explosion accident prediction and disaster loss prediction. The research results provided reference and technical support for the prediction of dust explosion accident evolution direction, emergency aid measures decision and deployment, disaster damage prediction and evaluation.     

Stipulation of the criteria for the construction of eco agricultural county in China

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标准BOD5测定法的"空气净化--稀释水曝气"装置研究

"稀释与接种法"是BOD5的标准测定方法,制备溶解氧接近饱和且不含能干扰生化耗氧过程的物质的稀释水,是该法重要的工作之一.由真空泵带动的"空气净化--稀释水曝气"装置,流程合理、装配容易、调控灵活,可连贯进行空气净化与稀释水曝气,而制取符合质量要求的稀释水.     

黄土丘陵沟壑区生态风险空间识别及开发利用权衡——以兰州市为例

基于社会经济发展与土地资源利用管理、生态环境保护之间矛盾的现实需求,以兰州市为例,通过区域开发生态风险传递过程分析,构建黄土丘陵沟壑区区域开发生态风险评价框架,结合自然生态风险、开发生态风险和生态重要性,定量评价黄土丘陵沟壑区开发利用综合生态风险并识别其空间分布特征,最后结合丘陵地区建设用地适宜性,权衡黄土丘陵沟壑等未利用地的开发与生态环境保护.结果表明:兰州市综合生态风险以中、低等级为主;兰州市二类未利用地占比最大,为51.67%;一类未利用地在海拔相对较低的皋兰县北部、永登县庄浪河以东集中分布,占总面积的37.45%.权衡兰州市综合生态风险与未利用地开发适宜性,一、二类用地的综合生态风险以1级低风险为主.其中,一类用地集中连片度高,坡度、海拔等自然本底相对较好,是未来未利用地综合开发建设优先选择区域;二类用地因自然地理条件的限制,开发难度大,开发成本高,可以作为后备土地开发资源选择性开发.     

AAO工艺低氧条件下的运行及其模拟

利用厌氧-缺氧-好氧(AAO)工艺探讨了在好氧池低溶解氧(DO)浓度条件下的水质指标变化情况.结果表明,当好氧池DO浓度从2.00 mg·L~(-1)降低到1.00 mg·L~(-1)和0.50 mg·L~(-1)时,系统仍然具有良好的除磷脱氮效果,出水水质指标均满足我国《城镇污水处理厂污染物排放标准》(GB 18918-2002)中的一级A标准.在此基础上,基于Bio Win 4.1软件建立了AAO工艺的活性污泥模型,对模型参数进行了灵敏度分析,并利用动态模拟对模型参数中的聚磷菌吸收乙酸或丙酸的聚羟基烷酸(PHA)产率系数(YP/PHA,seq)、聚磷菌好氧氧化PHA的储磷率(YP/PHA,aerobic)、氨氧化菌的最大单位生长速率(μmax,A)和亚硝酸盐氧化菌的最大单位生长速率(μmax,N)进行了校验.此外,对系统的曝气能耗进行了模拟评估,结果表明,与好氧池DO浓度为2.00 mg·L~(-1)时相比,好氧池DO浓度为1.00 mg·L~(-1)和0.50 mg·L~(-1)时的空气流量可分别节省23.8%和38.1%,氧转移效率可分别提高7.2%和11.7%.     

镉胁迫下稻田土壤微生物基因多样性的DGGE分子指纹分析

采用现代分子生物学技术,避开传统的分离培养过程,探讨重金属镉污染条件下稻田土壤微生物种群的基因多样性.经过直接从土壤中抽提总DNA,并对总DNA中16S rDNA及其中 V3可变区序列作PCR扩增、变性梯度凝胶电泳(DGGE)分析等,对镉胁迫下稻田土壤总DNA、微生物种类分布进行了初步的研究,发现不同浓度镉胁迫下稻田土壤间的菌种有明显差异,DGGE技术可以用于污染环境下微生物多样性研究.同时对DGGE分子指纹图谱的生物信息学分析作了初步尝试,为污染环境下土壤微生物多样性研究提供了新的实验方法与依据.     

香溪河库湾水质特征与非回水区水华响应关系

为探究香溪河在受倒灌影响较弱的河段水华暴发征兆及机理,于水华高发期5~8月对香溪河进行监测,分析电导率、水温、叶绿素a（Chl-a）以及流速.结果表明,在6~8月,香溪河倒灌现象于XX05点（峡口镇）处基本结束,XX06~XX09受倒灌来水影响较弱;香溪河于7月暴发水华,各个监测点位上Chl-a含量均值达到100μg/L以上,XX05~XX06与XX07-XX09点位上暴发不同种水华;在水华暴发前后,水体温度无显著变化,且并无明显分层现象,说明水温分层是水华暴发的主要原因这一理论并不能很好的适用于非回水区;通过对电导率数值的研究发现,数值在垂向上出现显著拐点,而拐点出现在临界层与光补偿层之间,同时与叶绿素a含量分布呈现显著负相关性.香溪河总氮（TN）、总磷（TP）平均值为1.849mg/L和0.157mg/L,均超过富营养化的阈值,水体氮磷含量与Chl-a浓度无显著相关性,水体中除N、P营养盐外的其它离子对香溪河水华的暴发起着重要作用.在水华消退后,电导率数值又逐渐恢复表层高底层低的垂向线性分布特性,与水华的暴发、消退有着明显的响应.     

对地级市空气自动监测多参数站建设的思考

阐述了地级市空气自动监测多参数站(超级站)建设的必要性,提出了统筹考虑、分期实施与突出重点、兼顾一般的建设思路,介绍了站房选址原则。指出超级站建设应以常规监测、霾监测、光化学烟雾监测、空间立体监测和源解析监测为目标,实施质量控制和质量保证手段,设置数据采集和显示平台,满足对大气复合污染的监测需求。