A bibliometric study of pool fire related publications

Pool fire is a common form of fire, which is constantly investigated along with the development of fire science and is also comprehensively employed as stable fire sources in examining other fire scenarios such as building and tunnel fires. According to the records in Science Citation Index Expanded database in the Web of Science Core Collection, a total of 1073 articles or reviews related to pool fires have been published from 1966 to 2019. In order to have a better understanding of knowledge structure of this topic and further identify its development history and currently popular concerns, a bibliometric analysis of pool fire research is conducted by means of visualization software VOSviewer and CiteSpace. This work visually provides a comprehensive overview of pool fire research in terms of annual publication output, source journals, productive countries/regions, authors and their cooperation network, subject terms, and reference co-citation analysis. The analysis provides networks of co-cited references, authors, countries, subject terms, and their respective clusters, indicating their ranking in contributions to the pool fire related publications. The results can be applied to enhance the understanding of pool fire research and support further work in this area.     

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.     

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

Small scale boilover and visualization of hot zone

Experimental studies of boilover were conducted in small scale rig at Universiti Teknologi PETRONAS (UTP), Malaysia and Loughborough University, United Kingdom. The study at UTP was aimed to demonstrate the ability of conducting tests at a smaller scale to simulate the boilover phenomenon. At Loughborough University, a novel laboratory scale rig was designed and built in order to obtain visual records of fuels' behaviour in a pool fire. The ultimate objective of these studies is to develop a greater understanding of boilover pertaining to fires involving the contents of storage tanks. Fuel mixtures containing light and heavy components were burnt as to study the feasibility of reproducing hot zone formation and boilover in a smaller scale and a safe environment. Boilover occurred after certain period of burning. It is found that thickness of the hot zone changed with time. It is also found that the time needed to start boilover increased when fuel thickness increased. The visualization of the fuel behaviour during the experiments was obtained to better understand the formation and growth of hot zone, the boiling of water layer and hence the boilover occurrence. Based on the data analysis and the photographs recorded from the experiments, the laboratory scale experimental rig could be used to simulate the hot zone formation mechanism and the boilover event safely and successfully. Such information are important for the understanding towards boilover phenomenon.     

基于ArcView GIS实现环境治理的热链接

研究地理信息系统(GIS)技术在环境综合治理中的应用,基于ArcViewGIS探讨实现GIS热链接的方法,通过Avenue语言编写程序进行ArcView的二次开发,同时建立文本、图像热链接,克服系统只能实现单一对象热连接的不便.建立环境治理区城图像数据库、基础信息数据库,应用地理信息系统技术实现环境治理工程规划设计、检查验收的可视化.通过ArcViewGIS的热链接功能提供准确的、可视化的环境综合治理依据.     

INTEGRATING A GEOGRAPHIC INFORMATION SYSTEM,A SCIENTIFIC VISUALIZATION SYSTEM,AND A PRECIPITATION MODEL1

ABSTRACT: Investigating natural, potential, and human-induced impacts on hydrologic systems commonly requires complex modeling with overlapping data requirements, plus massive amounts of one- to four-dimensional data at multiple scales and formats. Given the complexity of most hydrologic studies, the requisite software infrastructure must incorporate many components including simulation modeling and spatial analysis with a flexible, intuitive display. Integrating geographic information systems (GIS) and scientific visualization systems (SVS) provides such an infrastructure. This paper describes an integrated system consisting of an orographic precipitation model, a GIS, and an SVS. The results of this study provide a basis for improving the understanding of hydro-climatic processes in mountainous regions. An additional benefit of the integrated system, the value of which is often underestimated, is the improved ability to communicate model results, leading to a broader understanding of the model assumptions, sensitivities, and conclusions at a management level.     

水环境质量评价的可视化系统研究

以河南省安阳市境内３条水系为例，提出了实现水环境质量评价的计算机图形可视化的技术路线和系统设计方案。深入探讨了实现河流水系的动态控制和交互处理的可能性，通过形象直观的计算机动态图形画面，再现了河流水质的现在和将来。     

磷钼蓝比色法合适工作波长及线性范围的探讨

采用抗坏血酸-钼锑抗混合液作为磷钼蓝比色法测定磷含量的显色剂,形成稳定的显色液后,应用756CRT型紫外可见分光光度计进行600~850nm范围内的波长扫描。结果表明,吸收峰在722.2nm附近,同时,对720nm波长下的吸光度值与不同磷浓度吸收峰下的吸光度值进行比较,两者无显著差异。并且考虑到对于普通型的分光光度计很难做到722.2nm这样精确的调节。所以,可把720nm作为合适的工作波长,且磷浓度在0~1.0mg/kg内呈线性范围。     

GIS技术在滇池流域水环境管理中的应用

针对滇池流域水环境管理现状及特点整合流域信息资源,探讨利用GIS技术开发流域水环境管理可视化平台的可能性,根据流域地理水文等特点,结合ArcGIS系列开发软件和SQL数据库开发技术,以NET为中间件开发平台,完成系统设计与构建,主要实现流域信息数据管理维护、数据搜索查询和可视化决策功能,利用GIS可视化功能反映流域水环境的特点,为滇池流域水环境管理起到辅助决策作用。