排放生活污水对红树林底栖动物群落季节变化的影响

经过两年的试验,研究了福田红树林中底栖大型动物群落的季节变化特征以及生活污水的排灌对其造成的可能影响。结果表明,红树区底栖大型动物群落总平均生物量的季节变化是不显著的（P>0.05）。总平均栖息密度明显地在1月和7月出现两个高峰,总体和软体动物的栖息密度出现显著的季节变化（P<0.01）。红树林断面经60m³/周的生活污水处理16个月,与对照断面相比,排污对底栖动物群落总的及其组成成份生物量和栖息密度的季节变化未造成显著影响（P>0.05）。但在排放污水断面的前端出现了一些污水性生物种类。     

宁夏总量减排与环境质量改善的相关性分析

利用SPSS统计软件分析宁夏“十一五”期间主要污染物总量控制指标与环境质量数据的关联程度,并建立回归模型.结果表明:宁夏总量减排与环境质量改善存在高度关联,拟合曲线均为一元线性回归曲线.随着SO2排放总量降低,重点城市空气质量稳步改善,两者呈现同向变化的趋势;随着COD排放总量降低,黄河宁夏段水环境质量稳步改善,两者亦呈现同向变化的趋势.宁夏总量减排在环境质量改善上成效已显现,污染防治政策较为成功,环保成绩显著.     

生物炭和秸秆还田对微咸水滴灌棉田土壤真菌群落结构多样性的影响

微咸水灌溉增加土壤盐分,改变土壤环境,进而影响土壤真菌的结构和多样性.在长期微咸水灌溉的基础上,分别添加生物炭和秸秆（采用等碳量设计,分别为3.7 t·hm^-2和6 t·hm^-2）,探究生物炭和秸秆对土壤理化性质和真菌群落结构多样性的影响.结果表明：与不施生物炭和秸秆（对照）相比,生物炭施用显著增加土壤的pH、全碳、速效钾和速效磷含量,但显著降低土壤电导率,降低幅度为20.71%;秸秆处理显著增加土壤的速效钾和速效磷含量,但显著降低土壤容重和电导率,降低幅度为4.17%和64.50%.生物炭和秸秆处理对真菌群落Chao1指数和ACE指数有增加趋势,对Shannon指数和Simpson指数有降低趋势.土壤优势真菌门类为子囊菌门、被孢霉门、担子菌门、壶菌门和球囊菌门;优势真菌属为毛壳菌属、赤霉菌属、镰刀菌属、Idriella和被孢霉属.施加生物炭和秸秆提高子囊菌门、被孢霉门、担子菌门、球囊菌门和毛壳菌属的相对丰度;但降低壶菌门、赤霉菌属和Idriella的相对丰度.LEfSe分析表明,施用生物炭和秸秆还田降低真菌群落潜在生物标志物数量.RDA结果显示,土壤真菌群落结构与EC_1：5和TN显著相关.微咸水灌溉给土壤带来了不利影响,其中EC_1：5和TN是驱动土壤真菌群落结构变化的主要因子,土壤真菌群落通过生物炭和秸秆对土壤的改良作用来适应盐胁迫环境.     

陆地边界资源开发管理的经验与重点——以新疆北部陆地资源开发为例

新疆在长期边界资源开发的实践中形成了一套具有地方特色的陆地边界资源开发机制,成功地实现了对边界资源开发的有序管控。这些成功经验主要包括:对国家政策与地方政策进行相互配套,通过制度化建设将边界地区的资源开发服务于地方经济发展。在新形势下,边界资源开发出现了一些的新的动向与重点,其中包括在资源开发中注重环境保护问题,以及注重资源开发与边界地区经济发展相适应。总结以往经验,解决这些问题的关键是借助国家的一带一路建设,在实现边界地区安全稳定的基础上,以资源开发的可持续发展作为发展目标,通过经济发展促进边界地区的和谐、安全与稳定。     

季节性Kendall检验分析湘江长沙段水质变化趋势

季节性Kendall检验是一种广泛应用于河流水质变化趋势分析的非参数检验。以湘江长沙段三汊矶断面2001—2011年水质监测结果为样本,运用季节性Kendall检验分析湘江长沙段水质变化趋势及影响因素,结果表明:氨氮浓度呈显著上升趋势,总磷浓度呈高度显著上升趋势,总镉、总砷浓度呈高度显著下降趋势,湘江长沙段水质主要受城市生活、工业和农业面源污染物排放的影响,河水流量对水质的影响相对较小。     

深埋水平岩层隧道开挖稳定性分析及控制*

针对深埋高地应力水平岩层掌子面开挖稳定性及支护结构失效问题,以大峡谷隧道为工程背景,通过现场测试、室内试验、数值模拟等方法,探究深埋高地应力水平岩层失稳机理及控制措施。研究结果表明:坚硬岩体被节理面切割后,在高地应力作用下容易发生挤压破碎,破碎岩体遇水发生软化,导致掌子面发生大范围塌方,初支和超前支护失效;隧道开挖后岩层发生不均匀沉降,浅部岩层最先发生弯折破坏,层内块体错动滑移,继而向上方岩层发展,并伴随层间分离和层内裂隙发育,最终形成宏观破裂面;提出的台阶法、2 m开挖进尺、砼喷层、双层小导管、提高初支强度的整体优化控制措施,可有效提高现场支护效果。     

压缩空气泡沫在长距离管路输送中压降的数值模拟

基于Fluent对压缩空气泡沫在长距离管道中的流动特性进行了数值模拟研究,将压缩空气泡沫近似为弥散流,采用Saplart-Allmaras模型模拟了不同管径下压缩空气泡沫以及不同泡沫原液浓度的AFFF泡沫在长距离管道内的流动及压降变化。模拟结果表明,随着距离变化,各管径管道内压降均呈现线性变化,且随着压缩空气泡沫的流动,压降线性增大。管道管径对管内压降变化具有显著影响,管道直径越小,管道内压降越大;泡沫原液浓度对压降的影响较小,且压缩空气泡沫在长距离输送中的压力随距离线性衰减。将模拟结果与长距离输送的试验结果进行了对比,误差在10%以内。     

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.