改善太仓城区水环境原型调水实验研究及模型建立

为达到改善太仓城区水环境的目的,于2004年4月21日进行了调水实验.调水历时14 h,期间向城区调水21.8万m3.通过对监测点采样,得到水量、水质实测数据.根据实验数据,建立了符合太仓河网的水量水质数学模型,分析了从长江引水对太仓城区水环境的改善程度.同时对不同引水方案情况下城区水环境改善效果,以及截污和清淤对水环境的影响做了分析.研究表明,引水只能短期改善水环境;要根治水环境,必须从源头抓起,进行截污.     

公共场所火灾伤员转运护理应急资源评估

为保障伤员生命与健康,提升火灾伤员救治率,该文研究公共场所火灾伤员转运护理应急资源评估方法。以火灾伤员转运护理应急资源需求分析为基础,从应急人员、应急设备、应急环境信息与应急管理四个方面出发,共选取15个评估指标,构建公共场所火灾伤员转运护理应急资源评估指标体系,根据各指标采集相关数据并对数据实施量纲标准化处理。构建基于层次分析法的评估模型,计算评估指标体系内各指标权重,引入类间权重与类内权重两个变量,分别表示专家学术与经验差异和专家个体逻辑性差异,提升指标权重的合理性;通过综合模糊评价将各指标分为“差、较差、一般、较好、好”五个等级。以某隧道火灾为对象采用该方法评估,验证了本方法的有效性。     

新型生物质活性炭烟气脱硫研究

以农业废弃物核桃壳为原料,天然软锰矿为添加剂共混制备得到的新型生物质柱状活性炭进行烟气脱硫的性能研究.采用固定床反应器进行脱硫实验,装填活性炭质量为16 g,考察了进口SO2含量、空速、床层温度、水蒸气和氧气含量等工艺参数对活性炭脱硫性能的影响.结果表明,进口SO2含量在0.1%～0.3%(体积含量)范围内时,活性炭的穿透硫容和穿透时间随着进口SO2含量的升高而降低;空速越大,活性炭越容易穿透,较佳的空速为600 h-1;最适的床层温度为80℃,过高会降低脱硫效率;水蒸气和氧气的存在大大促进了活性炭对SO2的吸附性能,最佳水蒸气含量为10%,最佳氧气含量为10%～13%.在最佳工艺操作条件下,当进口SO2含量为0.2%时,活性炭穿透硫容为252 mg.g-1,穿透时间可达26 h.     

深水型水库藻类功能组时空演替及生境变化的影响

藻类功能分组是近年来生态学藻类研究的重要理论和方法.为了探明西安某深水型水源水库藻类功能组时空演替及生境变化的影响,于2011年8月起开展实验研究.研究采用现场在线监测和实验室分析相结合的方法.结果表明,水库藻类可分为10个功能组类别:B、D、P、X1、X3、F、G、J、LM、MP.其中,功能组B、P、F、X1、MP、D、J在水库中较为常见,X3、G、LM出现几率较低,功能组B、D、P、X1、X3的藻类数量占优.通过分析环境因子的变化对功能组时空演替的影响,发现水温为最主要的影响因子.水库藻类生长策略为:春季R/CR策略藻种→春末夏初CR/C策略藻种→夏末秋初C/CR/R/CS/S策略藻种→秋末及冬季CR/R策略藻种.此研究可为深水型水库安全取水提供理论支持.     

新安江流域土地利用结构对水质的影响

以新安江上游流域为研究区域,用该流域2010年5月TM遥感影像图作为底图,通过实地野外调查获取了新安江流域的土地利用图.运用ArcGIS的水文、空间分析功能,将流域划分为8个子流域,并分析各子流域的土地利用结构.根据2010年1～12月的水质监测数据,分析TN、TP、高锰酸盐指数、NH4+-N、粪大肠菌群的时空变化特征,以及与土地利用结构之间的定量关系.结果表明,TN和NH4+-N有明显的时间变化特征,为枯时期>丰水期>平水期,而其他几种指标没有明显的时间变化.在空间上,整体上呈现出渔梁、浦口污染最为严重.流域内土地利用结构与水质之间的相关关系表现为:耕地、水体、建筑用地起源作用,林地、草地起汇作用.在年度上看,耕地对TN、NH4+-N、高锰酸盐指数影响最大,草地对TP影响最大;不同水期上,枯水期和丰水期,对各指标影响最大的土地利用类型为耕地,在平水期,对TN、TP、粪大肠菌群影响最大的土地利用类型分别为耕地、草地、林地.     

基于物质流分析的钾素流动与循环研究

我国钾矿资源匮乏,自给率低,主要的使用和流动过程集中在种植业活动中.本研究利用物质流分析方法对2009年我国种植业生产和消费过程中钾素的流动和循环过程进行了解析.结果表明,农田土壤钾素平均亏损量达到50.4 kg·hm-2,大量钾素由陆生生态系统进入水生生态系统,造成资源流失.伴随降雨径流进入水环境的钾素达231.2万t·a-1,占当年化学钾肥施用量的40.97%.生活污水排放是钾素进入水体的另一主要途径,城市和农村区域的年排放量分别为67.1万t·a-1和54.7万t·a-1,占进入水环境钾素总量的19.00%和15.50%.其中通过城市污水处理厂排放进入地表水环境中钾素为50.5万t·a-1,占城市区域排放总量的75.25%.     

A data-driven narratives skeleton pattern recognition from accident reports dataset for human-and-organizational-factors analysis

Accidents in the process industry involve several interacting factors, including human and organizational factors (HOFs). A long-standing obstacle to HOFs analysis is lack of data. Accident reports are an essential data source to learn from the past and contain HOFs-related data, but they are usually unstructured text in a not standardized format. Some studies have explored the extraction of information automatically from accident reports based on Natural Language Processing (NLP) techniques. However, they were not dedicated to HOFs. Risk communication is considered an essential pillar in safety and risk science. This research develops a HOFs-focused risk communication framework based on the NLP techniques that can support risk assessment and mitigation. The proposed approach automatically extracts the target groups oriented “Who, When, Where, Why” (4Ws) information from accident reports.This framework was applied to explore the eMARS database. The results show that the “4Ws” skeleton of narratives has appreciated performance in pattern recognition and holistic information analysis. The graphical representation interfaces are designed to display the features of HOFs-related accidents, which can better be communicated to the sharp-end operators and decision-makers.     

Simulation of scenario characteristics of LPG tank explosion accident and its contribution to emergency planning: A case study

Leakage and explosion of hazardous chemicals during road transportation can cause serious building damage and casualties, and adoption of highly-efficient emergency rescue measures plays a critical role in reducing accidental hazards. Considering a liquefied petroleum gas (LPG) transport tanker explosion accident that occurred in Wenling, Zhejiang Province, China on June 13, 2020 as example, this study proposes a risk assessment framework. This framework recreates the leakage and explosion of the accident process using FLACS v10.9, suggests plans for evacuation, describes the rescue areas of different levels, and explores the influence of environmental factors on the evacuation and rescue areas. The results show that simulated and predicted distributions of fuel vapour cloud concentration and explosion overpressure can provide a reference basis for rapid rescue activities; the characterization of the dynamic effects of wind speed, wind direction, and temperature with respect to the evacuation and rescue areas can be used as theoretical support for on-site adjustment of rescue forces. The role of obstacles can prevent the expansion of the evacuation areas under low wind-speed conditions, and the presence of highly congested obstacles determines the level of the rescue area. The results obtained are important for the risk analysis and the development of emergency rescue measures in case of explosion accidents associated with transportation of hazardous chemicals on high-hazard and high-sensitive road sections.     

A disaster scene simulation system in 3D for oil transmission stations: Design and implementation

The disaster scene in three-dimensional (3D) plays a crucial role in disaster emergency management and risk communication of oil transmission stations. However, existing research for the disaster scene mainly focuses on reproducing the disaster environment and rarely predicts the damage state of the disaster-affected object. This paper proposes an object-oriented modeling method that utilizes a multilevel decomposition pattern for disaster scenes. This method combines earthquake vulnerability assessment with 3D visualization technology to predict and characterize the damage state of critical infrastructure in oil transmission stations. To enhance earthquake risk perception, a simulation system is designed and developed, which allows for the construction of virtual scenes and quick simulation of disaster scenes in 3D. The case application shows that the system improves the 3D modeling efficiency of disaster scenes and enhances public awareness of earthquake risks. The simulation system can provide technical support for seismic mitigation planning and emergency management decision-making at oil transmission stations and has good application prospects.     

长大区间隧道抽出式串联通风机排烟能力实验研究*

为实现有效通风以降低隧道火灾带来的损失和伤亡,依托青岛市地铁8号线大洋站至青岛北站区间隧道,建立线性比尺为1∶15的隧道通风排烟模型实验系统,针对通风机串联单抽,围绕3种通风机频率匹配组合,测定单机的变频频率值、电功消耗、排烟道与行车道的断面平均风速以及右侧行车道静压。研究结果表明:在相同功率消耗下,不同频率匹配的串联通风机排烟效果存在差异;针对此差异,利用气体挡烟墙性能及其计算欧拉数值比较发现,风井近端的通风机频率较大时,下游对污染气流的抵抗力更强,拥有更好的排烟效果。研究结果可为隧道火灾提供更有效率的防灾救灾数据支持,并从欧拉数方面为研究隧道临界风速提供新角度。