Pub Date : 1900-01-01DOI: 10.2991/dramclr-19.2019.34
Wen Tian, Chongfu Huang
The online computing module supported by geospatial information diffusion technology can obtain complete disaster data through incomplete background data in the early stage of disasters, thus making up the disaster data blank and supporting accurate rescue. Among them, with the advent of the Internet era, the acquisition of background data will realize the transition from traditional static acquisition to dynamic acquisition with networked disaster data as the main body. Systematic background data statistics is the basic work. Therefore, this paper will (1) discuss the concept of background data; (2) take flood disaster as an example, comprehensively consider the rapid assessment indicators of disasters at home and abroad with the theme of disaster relief, and form an online calculation for supporting disaster relief resource matching and disaster relief intelligent network. Background data indicator system and its data collection index items; (3) Statistics and analysis of relevant background data sources of domestic open database and web page data, forming a list of background data sources for collecting data; (4) For example, in Santai County, Sichuan Province, based on the existing database source data items, combined with the MySQL database architecture, the background database design scheme in the disaster relief intelligent network is constructed to provide a data foundation for the online calculation of the disaster relief intelligent network. Keywords—Internet of Intelligences; background data; flood disaster 摘要—由地理空间信息扩散技术支持的救灾智联网在线计 算模块可以在灾害初期通过不完整的背景数据获得完整的灾 害数据,从而弥补灾情数据空白、支持精准救援。其中,随 着互联网时代的到来,背景数据的获取将实现从传统静态化 获取向以网络化灾情数据为主体的动态化获取转变,系统性 的背景数据统计是基础性工作。因此,本文将(1)讨论背景 数据的概念;(2)以洪涝灾害为例,综合考虑以救灾为主题 的国内外灾情快速评估指标,形成用于支持救灾资源匹配、 救灾智联网在线计算的背景数据指标体系及其数据采集指标 项;(3)对国内开放性数据库和网页数据等多途径的相关背 景数据源进行统计和分析,形成用于采集数据的背景数据源 列表;(4)以四川省三台县为例,以现有数据库源数据项为 根基,结合 MySQL 数据库体系结构,构建救灾智联网中背景 数据库设计方案,为救灾智联网的在线计算提供数据基础。 关键词—智联网,背景数据,洪涝灾害
{"title":"Statistical Analysis of Background Data in Internet of Intelligences","authors":"Wen Tian, Chongfu Huang","doi":"10.2991/dramclr-19.2019.34","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.34","url":null,"abstract":"The online computing module supported by geospatial information diffusion technology can obtain complete disaster data through incomplete background data in the early stage of disasters, thus making up the disaster data blank and supporting accurate rescue. Among them, with the advent of the Internet era, the acquisition of background data will realize the transition from traditional static acquisition to dynamic acquisition with networked disaster data as the main body. Systematic background data statistics is the basic work. Therefore, this paper will (1) discuss the concept of background data; (2) take flood disaster as an example, comprehensively consider the rapid assessment indicators of disasters at home and abroad with the theme of disaster relief, and form an online calculation for supporting disaster relief resource matching and disaster relief intelligent network. Background data indicator system and its data collection index items; (3) Statistics and analysis of relevant background data sources of domestic open database and web page data, forming a list of background data sources for collecting data; (4) For example, in Santai County, Sichuan Province, based on the existing database source data items, combined with the MySQL database architecture, the background database design scheme in the disaster relief intelligent network is constructed to provide a data foundation for the online calculation of the disaster relief intelligent network. Keywords—Internet of Intelligences; background data; flood disaster 摘要—由地理空间信息扩散技术支持的救灾智联网在线计 算模块可以在灾害初期通过不完整的背景数据获得完整的灾 害数据,从而弥补灾情数据空白、支持精准救援。其中,随 着互联网时代的到来,背景数据的获取将实现从传统静态化 获取向以网络化灾情数据为主体的动态化获取转变,系统性 的背景数据统计是基础性工作。因此,本文将(1)讨论背景 数据的概念;(2)以洪涝灾害为例,综合考虑以救灾为主题 的国内外灾情快速评估指标,形成用于支持救灾资源匹配、 救灾智联网在线计算的背景数据指标体系及其数据采集指标 项;(3)对国内开放性数据库和网页数据等多途径的相关背 景数据源进行统计和分析,形成用于采集数据的背景数据源 列表;(4)以四川省三台县为例,以现有数据库源数据项为 根基,结合 MySQL 数据库体系结构,构建救灾智联网中背景 数据库设计方案,为救灾智联网的在线计算提供数据基础。 关键词—智联网,背景数据,洪涝灾害","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129793959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.2991/dramclr-19.2019.21
Sanqiang Chen, K. Wu, Jiangmiao Zhu
朱建淼,陈三强 浙江省安全生产科学研究院、浙江省安全工程与技术研究重点实验室,杭州 310012 zjmsx@163.com Abstract:The principle,adaptive hidden danger identification characteristic and features of an intelligent power system are introduced in this paper. The types and distributions of common hidden dangers in electrical circuits are analyzed from a systematic perspective based on the monitoring data, which can provide basic ideas and methods for the further rectification directions of the circuits. According to an uncompleted statistics, approximately 15000 sets of intelligent power system are installed in Zhejiang Province. 583,665 hidden dangers have been monitored in which the hidden dangers of current take 41.2%, the hidden dangers of residual current occupy 37.3% and the hidden dangers of cable temperature contributes 21.5%. By the construction of socialized service system through intelligent electricity and electric fire prevention and control, the accurate location and accurate investigation of an electrical fire hazard can be realized, which can effectively reduce the hidden danger of safety in the process of electricity use, reduce the number of electric fires, and raise the risk awareness of the enterprise's electricity safety. The electrical fire accidents have dropped by more than 30% in the area where the intelligent power system is installed.
{"title":"Research on Adaptive Hidden Danger Identification Characteristic of Intelligent Power System","authors":"Sanqiang Chen, K. Wu, Jiangmiao Zhu","doi":"10.2991/dramclr-19.2019.21","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.21","url":null,"abstract":"朱建淼,陈三强 浙江省安全生产科学研究院、浙江省安全工程与技术研究重点实验室,杭州 310012 zjmsx@163.com Abstract:The principle,adaptive hidden danger identification characteristic and features of an intelligent power system are introduced in this paper. The types and distributions of common hidden dangers in electrical circuits are analyzed from a systematic perspective based on the monitoring data, which can provide basic ideas and methods for the further rectification directions of the circuits. According to an uncompleted statistics, approximately 15000 sets of intelligent power system are installed in Zhejiang Province. 583,665 hidden dangers have been monitored in which the hidden dangers of current take 41.2%, the hidden dangers of residual current occupy 37.3% and the hidden dangers of cable temperature contributes 21.5%. By the construction of socialized service system through intelligent electricity and electric fire prevention and control, the accurate location and accurate investigation of an electrical fire hazard can be realized, which can effectively reduce the hidden danger of safety in the process of electricity use, reduce the number of electric fires, and raise the risk awareness of the enterprise's electricity safety. The electrical fire accidents have dropped by more than 30% in the area where the intelligent power system is installed.","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122341259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.2991/dramclr-19.2019.5
Saisai Liu, Dandan Yu, Yija Hu, Xudong Peng
In this paper, the NCEP reanalysis data and the sea surface temperature data are used to diagnose the development process of the intense tropical cyclone “IDAI” generated in the SouthWest Indian Ocean. The results show that the presence of the high pressure ridge in the northeast and the weak high pressure in the south makes “IDAI” moving slowly or even stagnantly. According to the intensity, the development of “IDAI” can be divided into three processes: the rapid strengthening process, the weakening maintenance process and the secondary strengthening process. Then it eventually developed into an intense tropical cyclone. The high sea temperature, the relatively small vertical wind shear and the favorable high-level divergence conditions are benifit environmental conditions for its rapid strengthening; during its development process, the external water vapor transport is weak, the water vapor and heat mainly come from the ocean; the eye wall replacement process causes the second strengthening of its intensity. Finally it landed in Mozambique with an intensity of intense tropical cyclone. Keyword—South-West Indian Ocean, Tropical cyclone, Genesis analysis 摘要—本文利用 NCEP 再分析资料、海温资料等对西南印度洋 生成的强热带气旋 “伊代”(Idai)的发展过程进行了诊断 分析,结果表明:其东北侧的高压脊及西南侧弱高压的存在 使得“伊代”移动缓慢甚至停滞不前;“伊代”经历了快速 加强阶段、减弱维持阶段以及二次加强阶段,最终发展成为 强热带气旋,较高的海温、相对较小的垂直风切变以及良好 的高层辐散条件是其发展加强的有利环境条件,使其强度能 够迅速发展;其发展过程中外部水汽输送较弱,水汽和热量 主要来自海洋;眼墙置换过程促使其强度二次爆发,最终以 强热带气旋级登陆莫桑比克。
{"title":"Overview and Genesis Analysis of the Intense Tropical Cyclone IDAI in the South-West Indian Ocean","authors":"Saisai Liu, Dandan Yu, Yija Hu, Xudong Peng","doi":"10.2991/dramclr-19.2019.5","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.5","url":null,"abstract":"In this paper, the NCEP reanalysis data and the sea surface temperature data are used to diagnose the development process of the intense tropical cyclone “IDAI” generated in the SouthWest Indian Ocean. The results show that the presence of the high pressure ridge in the northeast and the weak high pressure in the south makes “IDAI” moving slowly or even stagnantly. According to the intensity, the development of “IDAI” can be divided into three processes: the rapid strengthening process, the weakening maintenance process and the secondary strengthening process. Then it eventually developed into an intense tropical cyclone. The high sea temperature, the relatively small vertical wind shear and the favorable high-level divergence conditions are benifit environmental conditions for its rapid strengthening; during its development process, the external water vapor transport is weak, the water vapor and heat mainly come from the ocean; the eye wall replacement process causes the second strengthening of its intensity. Finally it landed in Mozambique with an intensity of intense tropical cyclone. Keyword—South-West Indian Ocean, Tropical cyclone, Genesis analysis 摘要—本文利用 NCEP 再分析资料、海温资料等对西南印度洋 生成的强热带气旋 “伊代”(Idai)的发展过程进行了诊断 分析,结果表明:其东北侧的高压脊及西南侧弱高压的存在 使得“伊代”移动缓慢甚至停滞不前;“伊代”经历了快速 加强阶段、减弱维持阶段以及二次加强阶段,最终发展成为 强热带气旋,较高的海温、相对较小的垂直风切变以及良好 的高层辐散条件是其发展加强的有利环境条件,使其强度能 够迅速发展;其发展过程中外部水汽输送较弱,水汽和热量 主要来自海洋;眼墙置换过程促使其强度二次爆发,最终以 强热带气旋级登陆莫桑比克。","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125357331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.2991/dramclr-19.2019.43
Xiaojuan Chen, Ting Li, Jing Zhang, Jun Wei
Based on daily precipitation of Qianxi and six surrounding counties from 1984 to 2015, we estimate the risk of drought in Qianxi county during a series of return periods by probability distribution. So does the chestnut-drought risk by distribution of chestnut and relative risk grade. It is concluded that the risk of drought is higher in the southwest of Qianxi. The drought area and intensity increase with the augment of return period. Percentage of precipitation departure is -43% in Baimiaozi, Xingcheng, Xinzhuangzi and Donglianhua township when the return period is 30a. It is -52% when the return period being 100a. The distributions of chestnuts are largest in Yangjiayu and Shimenzi village, Hanerzhuang township, which are 683 and 670 ha. Influenced by hazard factor and bearing body, the risk grade is highest in most areas of Hanerzhuang, Luanyang, Shangying and Jinchangyu town. Keywords—chestnut; drought; risk; risk grade 摘要—本文基于 1984-2015 年的迁西县及周围 6 个县的日 降水量资料,运用概率分布理论对不同重现期下迁西干旱致 灾因子危险性进行评估,并结合各村板栗暴露数据,利用相 对风险等级法,对板栗干旱进行风险评估。结果表明:迁西 县西南部干旱致灾因子危险性相对较高。随着重现期的增 大,干旱面积和致灾强度也在增加,白庙子乡、兴城镇、新 庄子乡和东莲花院乡 30 年一遇的降水距平百分率达-43%, 100 年一遇达-52%。汉儿庄乡的杨家峪村、石门子村的板栗种 植面积最多,分别为 683 和 670 公顷。风险受到致灾因子与 承灾体共同作用,北部的汉儿庄、滦阳、洒河桥、上营和金
{"title":"Risk Assessment of Chestnut Drought Disaster in qixian county","authors":"Xiaojuan Chen, Ting Li, Jing Zhang, Jun Wei","doi":"10.2991/dramclr-19.2019.43","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.43","url":null,"abstract":"Based on daily precipitation of Qianxi and six surrounding counties from 1984 to 2015, we estimate the risk of drought in Qianxi county during a series of return periods by probability distribution. So does the chestnut-drought risk by distribution of chestnut and relative risk grade. It is concluded that the risk of drought is higher in the southwest of Qianxi. The drought area and intensity increase with the augment of return period. Percentage of precipitation departure is -43% in Baimiaozi, Xingcheng, Xinzhuangzi and Donglianhua township when the return period is 30a. It is -52% when the return period being 100a. The distributions of chestnuts are largest in Yangjiayu and Shimenzi village, Hanerzhuang township, which are 683 and 670 ha. Influenced by hazard factor and bearing body, the risk grade is highest in most areas of Hanerzhuang, Luanyang, Shangying and Jinchangyu town. Keywords—chestnut; drought; risk; risk grade 摘要—本文基于 1984-2015 年的迁西县及周围 6 个县的日 降水量资料,运用概率分布理论对不同重现期下迁西干旱致 灾因子危险性进行评估,并结合各村板栗暴露数据,利用相 对风险等级法,对板栗干旱进行风险评估。结果表明:迁西 县西南部干旱致灾因子危险性相对较高。随着重现期的增 大,干旱面积和致灾强度也在增加,白庙子乡、兴城镇、新 庄子乡和东莲花院乡 30 年一遇的降水距平百分率达-43%, 100 年一遇达-52%。汉儿庄乡的杨家峪村、石门子村的板栗种 植面积最多,分别为 683 和 670 公顷。风险受到致灾因子与 承灾体共同作用,北部的汉儿庄、滦阳、洒河桥、上营和金","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129211391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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