Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)最新文献

{"title":"Financial Early-Warning Analysis of Big Data Industry Enterprises Based on Factor Analysis and Logistic Model","authors":"X. Luana, Hongmei Zhang","doi":"10.2991/dramclr-19.2019.36","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.36","url":null,"abstract":"On the basis of systematic research on financial early-warning research at home and abroad, this paper selects Chinese big data listed companies as research samples, constructs financial early-warning model of electronic information listed companies with Logistic regression method comprehensively, and analyzes its discriminating effect. The results show that it is an effective method to construct a financial early-warning model by using logistics regression method to help listed companies prevent financial risks. Keywords—financial early-warning model, financial risk, Logistic regression analysis 摘要—在对国内外财务预警研究进行系统研究 的基础上,选取我国大数据上市企业公司作为研究 样本,综合运用 Logistic 回归法构建电子信息上 市公司财务预警模型,并分析其判别效果。研究结 果表明,通过运用 logistic 回归法构建财务预警 模型来帮助上市公司防范财务风险是一种行之有效","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"57 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":"131210204","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}

{"title":"Business Exploration in Meteorological Disaster Risk Management Based on Big Data","authors":"Xiaolei Chen","doi":"10.2991/dramclr-19.2019.7","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.7","url":null,"abstract":"—Based on the needs of supporting business in meteorological disaster risk management, this article firstly analyze the characteristics of big data and the connotation of meteorological big data, and clarifies the concept of the big data for meteorological disaster defense, which are composed of five major types of data such as disaster situation. We also explore how to apply artificial intelligence, experience method, screening method and other technical methods to expand the construction of big data for meteorological disaster defense. Then, we summarized the practical experience of using big data in meteorological disaster monitoring and evaluation, meteorological disaster risk zoning, meteorological disaster risk forecasting and early warning, risk management business system construction, etc. A future development is proposed. Keywords—meteorological disaster, big data, risk management, application exploration 摘要—本文从分析大数据特性和气象大数据内涵 入手,基于支撑气象灾害风险管理业务的需要,明确 了由灾情等五大类数据构成的气象灾害防御大数据 概念,探索了如何应用人工智能、经验法、筛选法等 多种技术方法去拓展气象灾害防御大数据建设,总结 了利用大数据在气象灾害监测评估、气象灾害风险区 划、气象灾害风险预报预警、风险管理业务系统建设 等方面的实践经验,并提出了今后发展建议。 关键词-气象灾害,大数据,风险管理,应用探 索 I. 引言 当前,大数据已成为全球社会和技术发展的 热点,各国政府和国际组织纷纷将开发利用大数 据作为夺取新一轮竞争制高点的重要抓手。美国 2012 年发布“大数据研发计划”,重点研究分析 大数据在医疗、天气和国防等领域应用。德国 2010 年发表《德国 ICT 战略:数字德国 2015》, 提出了如何利用大数据应用来促进未来发展。 ICT 是 Institute of Computing Technology 的 缩写,即,信息通信技术。英国政府投入大量资 金,率先利用大数据在交通、天气、健康等方面 开展应用分析研究。日本 2012 年发布了以大数 据为亮点的“活跃 ICT 日本新战略” [1] 。2015 年, 中国政府印发了《促进大数据发展行动纲要》, 国土资源部、农业部、环保部、贵州省、北京市 等纷纷印发促进大数据发展的实施意见。可以说, 大数据发展应用受到国内外各级政府、社会及学 术界、产业界高度关注 [2] 。 气象部门作为典型的信息部门,高度重视气 象大数据应用工作。2016 年,中国气象局在《全 国气象发展“十三五”规划》中明确提出,落实 国家“互联网+”行动和大数据发展战略,推进 云计算、大数据、物联网、移动互联网等技术的 气象应用。2017 年,中国气象局在《关于加强气 象防灾减灾救灾工作意见》中提出,应用大数据 和人工智能技术,搭建气象大数据人工智能算法 Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 171","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"43 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":"130634485","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}

{"title":"Research on Credit Risk Assessment of Listed Companies in Electronic Information Industry Based on Logistic Regression","authors":"Jinyue Liu, Hongmei Zhang","doi":"10.2991/dramclr-19.2019.17","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.17","url":null,"abstract":"Electronic information industry is the hottest industry in the contemporary economy. With the continuous development of the industry, some problems in the supply chain appear gradually. In order to expand the scale of sales, electronic information industry often produces a large number of credit sales, so it also expands the accounts receivable, leading to the rising financial risks faced by enterprises. In combination with its industry characteristics, this paper constructs its early-warning indicator system from six dimensions including operating capacity, profitability, debt paying ability, growth ability, cash flow and per share indicator, and USES principal component analysis method to reduce the dimension of the original indicators, so as to improve the classification efficiency and accuracy of the Logistic early-warning model. The warning accuracy rate was 89.3%. Keywords—credit risk; Listed companies of electronic information; Supply chain 摘要—电子信息行业是当代经济中最火热的行业。随着行 业的不断发展,一些供应链中的问题逐渐显现。强有力的风 险管理, 是民族危机意识的必然产物.目前我国已走进历史 关键时期。同时由于房地产行业因为与金融支持高度相关的 特点,成为国民经济中资本与风险的集散地。电子信息行业 往往为了扩大销售规模,产生大量的赊销行为,因此也扩大 了的应收账款,导致企业所面临的财务风险不断上升。本文 结合其行业特征本文从经营能力、盈利能力、偿债能力、成 长能力、现金流量以及每股指标六个维度考虑,构建其预警 指标体系,并运用主成分分析法对原始指标进行降维,提高 了 Logistic 预警模型的分类效率和准确性。预警准确率为 89.3%。 关键词—信用风险,电子信息产业上市公司,供应链融资 I. 引言 电子信息行业是当代经济中最火热的行业。大部分 电子信息行业现金流充沛,资金充裕,但是电子信息行 业往往为了扩大自身的销售规模,企业会产生大量的赊 销行为。而这种赊销行为,进而扩大的应收账款。并且, 在实际业务中,应收账款的回收并没有想象中的那么容 易。尽管应收账款使得企业产生了巨大的收益,但与此 同时企业所面临的财务风险也在上升。许多企业虽然具 有良好的盈利能力,但由于缺乏良好的应收账款管理能 力,因而面临着严重的财务危机。我国很多上市企业账 面情况良好,但却存在缺乏资金的情况。多半由应收账 款所引发的财务危机,这些都会直接威胁着企业的长远 发展。企业的应收账款,对企业的现金流量有着决定性 的影响。 目前,我国电子信息企业对应收款的重视程度不 够,一方面原因是没有建立起合理的机制进行监控和预 警,另一方面原因应收款在实际发生坏账之前很难注意 到,因为在财务报表中,体现在资产类科目。随着市场 竞争激烈程度的加剧,很多企业为了追求更多的经济利 润,通过提高生产技术改善产品质量、缩短生产周期, 与此同时,还采用商业信用完成销售,这样的经营方式 势必会产生规模可观的应收账款,同时以电子信息企业 为典型的企业在达到垄断地位之前依靠施行预付模式达 到增加销售量,创造市场流水和收入,提高市场占有率 的目的,也产生大量预付款的应收款。这些都对企业的 长远经营和持续发展带来了一定的隐患。 因此,企业应当建立健全信用管理体系、完善信用 管理政策,从而实现对应收账款占用的优化,有效规避 资产占有及坏账风险。因此,构建适用于电子信息金融 公司的信用风险指标体系,并从中提取维度低、表征能 Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 171","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"12 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":"117161392","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}

{"title":"Multi-source analysis of severe convection weather induced by a supercell storm in Hengshui","authors":"Hao Song, Yuting Zhang","doi":"10.2991/dramclr-19.2019.11","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.11","url":null,"abstract":"The severe convection weather induced by a supercell storm in Hengshui from north to south on June 13th, 2018 was analyzed by using the meteorological data from MICAPS, the data of the microwave radiometer from Hengshui Meteorological Bureau, the data of wind-profiling radar in Jizhou District of Hengshui, the data of the Doppler radar in Shijiazhuang, and the data of the dual polarization radar in Raoyang County of Hengshui. The results showed thatthe process was a severe convective weather triggered by a supercell storm, which triggered by the intersection of high-level dry and cold air with low-level warm and humid air in the rear of a vortex , and was dominated by hail, thunderstorm and strong wind. Hengshui had maintained an unstable stratification with cold-dry air on the top and warm-humid air on the bottom before the storm was born. The 0°C layer and the -20°C layer were at suitable heights, thus providing a favorable environment for the occurrence and development of severe convection. The northerly wind current in the middle and upper levels had played a good role in pumping and ventilating the current, which increased the transportation of cold and dry air in the middle and upper levels, thereby further increasing the vertical wind shear in the upper and lower levels, and eventually causing the stratification to became even less stable. As the low-level shear line transited, the unstable energy was triggered, which in turn maintainedthe strength of the severe convective weather. The data of the dual-polarized radarcould better describe the particle size, particle shape, and precipitation type, as well as detect and warn of the hail area. By integrating the data of the dual-polarized radar and the Doppler radar, early warning signals of hail could be sent about 66 minutes earlier. Keywords— supercell storm, hail, microwave radiometer, wind-profiling radar, doppler radar, dual polarization radar 摘要—利用 micaps 气象资料以及衡水市气象局微 波辐射计资料、衡水市冀州区风廓线雷达资料、石 家庄市多普勒雷达资料、衡水市饶阳县双偏振雷达 资料对 2018年 6月 13日衡水市自北向南出现的一 次超级单体风暴引发强对流天气过程进行分析。结 果表明:此次过程是一次涡槽后部高层干冷空气与 低层暖湿气流交汇触发超级单体风暴引发的强对 Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 171","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"13 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":"114999987","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}

{"title":"An Approach to Improve Diffusion Coefficient of Geospatial Information Model","authors":"Chongfu Huang","doi":"10.2991/dramclr-19.2019.1","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.1","url":null,"abstract":"This paper proposes an approach to improve the diffusion coefficient of the geospatial information diffusion model. The diffusion coefficient calculated by the average distance formula is appropriately amplified to become the initial diffusion coefficient. Employing a search method, we take two test points in the search interval consisting of 0 and the initial diffusion coefficient. Comparing the errors of the two test points used in the geospatial information diffusion model, we adjust the search interval: if the error of the left test point is small, the left point of the new search interval is unchanged, and the original right point of search interval is replaced with the right test point; if the error of the right test point is small, The right point of the new interval is unchanged, and the original left point of search interval is replaced with the left test point. Repeatedly, the search interval is continuously narrowed until the distance between the two test points is less than a given value, then the search is stopped. Meanwhile, the test point with a small error will be an optimized diffusion coefficient. A case constructing a relationship between the background data and disaster, with a sample size of 30, shows that the diffusion coefficient can reduce error approximately 17%. Keywords—geospatial information diffusion, diffusion coefficient, search interval, test point, background data, disaster 摘要—本文提出了一种改进地理空间信息扩散模型中扩散 系数的方法。将平均距离公式计算的扩散系数进行适当放 大,成为初始化扩散系数。使用某种搜索法,在由 0 和初始 化扩散系数构成的搜索区间中取两个测试点。将两个测试点 分别用于地理空间信息扩散模型,比较它们的误差,调整搜 索区间:如果左测试点的误差小,则新搜索区间左端点不 变,将原搜索区间的右端点换成右测试点;如果右测试点的 误差小,则新搜索区间的右端点不变,将原搜索区间左端点 换成左测试点。如此反复,不断缩小搜索区间,直到两个测 试点的距离小于一个给定的值,则停止搜索时,并以误差较 较的小测试点,为优化的扩散系数。用容量为 30 的样本,构 建背景数据和灾情间关系的算例表明,扩散系数优化后,大 约能减小 17%的估计误差。 关键词—地理空间信息扩散, 扩散系数, 搜索区间, 测试点, 背景数据 I. 引言 大灾中的信息孤岛,比比皆是。由于具有非线性识 别能力,且能学习矛盾样本,地理空间信息扩散模型 [1],较之加权地理回归[2]和人工神经元网络[3],能更好地 推测出空白地理单元上的灾情,有效解决信息孤岛的问 题。优化模型中的扩散系数,是进一步提高推测结果精 度的一个重要途径。 地理空间信息扩散模型,是将灾区已观测的地理单 元上的背景数据和灾情形成的样本,视为小样本,用正 态信息扩散公式[4],对其进行集值化处理,构造出“背 景数据”和“灾情”之间的因果关系。据此,我们用空 白地理单元上的背景数据,可推导出该地理单元上灾 情。 地理空间信息扩散模型,是一个集值统计回归模 型。扩散公式中的扩散系数,决定着样本点的集值化程 度,对预测结果有明显的影响。扩散系数较大时,较多 的监测点从一个样本点获得有效信息;反之,点较少。 理论上,样本足够大时,扩散系数为零,样本点的信 息,没有扩散。传统统计回归,就是在没有扩散的情况 下进行。换言之,传统统计回归,依赖于大样本。 目前,信息扩散理论的基础比较稳固,应用涉及面 较广。人们常用式(1)的平均距离公式计算正态信息 扩散中的扩散系数 h[5]。","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"176 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":"115702187","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}

{"title":"Impact of Upper Tropical Cyclone on West Bank of Bohai Sea","authors":"Zhiming Yu, Siyao Wang","doi":"10.2991/dramclr-19.2019.25","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.25","url":null,"abstract":"Based on the data of FY-2E infrared cloud image, radar, micaps3.1, island observation station, large buoy, and numerical weather forecasting products, effects of tropical storm Damrey on Tangshan were analyzed, forecast and disaster cause of tropical storm Damrey were also analyzed. The results show that the mesoscale low pressure system, going into the west area of 38°N, 121°E, will move toward north fast along the 586 line of the subtropical high. When more than 39°N, the system will turn to northeast by the effect of westerlies, and move faster. Double effect of ultra low level southeast jet on the sea was obvious, not only is the power factor but also the water vapor factor. Strong precipitation and wind of Damrey appears at the point, which is the inflection point of the line 586 of the subtropical high on 500hpa upper weather map. Leting County flooded seriously because of the 5 consecutive rainstorms and the storm surge of Damrey. Keywords— Damrey; Forecast; Disaster; Storm surge 摘要—利用 FY-2E 红外云图、雷达、micaps3.1、海岛站、 大浮标站及数值产品检验资料,分析了进入渤海的热带风暴 “达维”对河北省唐山市的影响,对“达维”的预报和造成灾 害的成因进行了研究。结果表明:进入 38°N,121°E 以西的 中尺度低压系统,将会沿副高 586 线边缘快速北上,超过 39° N 时,在西风带作用下移向转为东北,移速加快。“达维”进 入渤海后海区超低空东南急流“双重效应”明显,既是动力因 子又是水汽短时输送因子,产生的强降水位于 500 百帕高空图 “586 脊线”拐点处;前期连续出现的五次暴雨和“达维”产 生的风暴潮使乐亭县出现了严重的内涝灾害。 关键词—“达维”,预报,灾害,风暴潮 I. 引言 台风的破坏力主要是由强风、暴雨和风暴潮三个因素 引起的,给沿海各省市的工农业生产、交通运输和人民 生命财产安全造成严重威胁和极大损失,一直被广大气 象工作者[1 2]所关注。2012 年 8 月 3 日-8 月 4 日位于山 东半岛北部“达维”台风北移及副热带高压东退,在渤 海西部海区-海岸带形成 3维空间有利于强降水的形势场 和 NE-SW 向次天气尺度雨带,并在秦皇岛海区中尺度 低层辐合风场、水汽因子耦合下,导致区域性大暴雨及 大风天气的发生。近年来,许多学者对如何避免和减轻 的热带气旋的损失进行了研究与探讨[3 4]开展过大规模 的热带气旋外场[5]监测及数值模拟[6 、7] 试验,对热带气 旋的运动突变、结构、强度变化和热带气旋暴雨[8 9]等方 面进行了一系列[10]的研究,一些科研成果在多次热带气 旋预报中得到了较好的应用。据统计,2005 年至 2017 年影响渤海及沿岸地区的热带气旋仅有 5 次,分别为 2005 年的“麦莎”、2011 年的“梅花”及“米雷”、2014 年的“麦德姆”和 2017 年的“海棠”。目前对于热带气 旋北上进入黄渤海后的移动路径 [11]、预报指标[12 13]及灾 害成因[14]仍处于探讨阶段,相关的研究很少。2012 年进 入渤海的“达维”是 1949 年以后登陆我国长江以北地区 最强的热带气旋,唐山市气象台对 “达维”进行了系统 的分析,做出了较准确的预报,进行了较成功的服务。 但在前期连续出现 5 次暴雨的背景下, 受“达维”造成 的大风、强降水和农历十五天文大潮影响,唐山东南部","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"26 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":"126293308","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}

{"title":"The Harmonious Development of Ecological Civilization Construction and Financial Agglomeration in Guizhou","authors":"Xinpu Wang, Mu Zhang","doi":"10.2991/ieesasm-18.2019.17","DOIUrl":"https://doi.org/10.2991/ieesasm-18.2019.17","url":null,"abstract":"Based on the panel data of nine cities in Guizhou Province from 2013 to 2017, this paper constructs the evaluation index system of the coupling system of ecological civilization construction and financial agglomeration evaluation, and uses grey relational projection method and hesitant fuzzy language PROMETHEE method to measure the level of ecological civilization construction and financial agglomeration. The coupling coordination degree of ecological civilization construction and financial agglomeration and the space-time development trend of nine cities in Guizhou are calculated by using the coupling coordination model. The results show that: in terms of time, the coupling coordination degree of nine prefectures in Guizhou has been fluctuating continuously in the past five years, with relatively small amplitude and relatively stable in Southwest Guizhou. Spatially, Guiyang City and Zunyi City rank first and second in the province in the degree of coupling and coordination, achieving barely coordinated, while the remaining seven cities and municipalities have different degrees of imbalance. At the same time, it is pointed out that there exists regional imbalance in the process of coordinated development of ecological civilization construction and financial agglomeration in Guizhou, and the imbalance is aggravated. Keywords—Construction of Ecological Civilization; Financial Agglomeration; Coupled Coordination; Grey Relational Projection Method; Hesitant Fuzzy Language PROMETHEE Method 摘要—本文基于 2013-2017 年贵州省九个地州市的面板数 据构建生态文明建设和金融集聚评价耦合系统评价指标体系, 利用灰色关联投影法和犹豫模糊语言 PROMETHEE 方法测算生 态文明建设水平和金融集聚水平,并运用耦合协调模型计算 贵州九个地州市生态文明建设与金融集聚的耦合协调度以及 时空发展趋势。研究结果表明:从时间上看,贵州九个地州 市的耦合协调度在近五年来呈现出不断波动的状态,波幅较 小,比较平稳的是黔西南州;从空间上看,贵阳市和遵义市 的耦合协调度位列全省第一和第二,达到勉强协调,其余七 个地州市均存在不同程度失衡。同时还指出,贵州生态文明 建设与金融集聚耦合协调发展过程中存在区域不平衡现象, 且不平衡现象有所加剧。 关键词—生态文明建设,金融集聚,耦合协调,灰色关联 投影法,犹豫模糊语言 PROMETHEE 方法","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"42 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":"114208098","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}

{"title":"Characteristics and Cause Analysis of Local Rainstorms When Subtropical High Moving North","authors":"Yuhong Wang, Jiangbo Li, Y. Duan","doi":"10.2991/dramclr-19.2019.27","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.27","url":null,"abstract":"Using conventional meteorological observation data, automatic weather station data, radar data and Final Operational Global Analysis (FNL) data, and focusing on the local rainstorms of Hebei province in the process of subtropical high moving north on 20-22 July 2017, the meso-scale characteristics and reasons are analyzed in this paper. Firstly, the local rainstorms belong to the heavy rain caused by summer monsoon moving north, and the distribution of rainfall is extremely uneven, with 3 strong rainfall centers located in Qinhuangdao, Shijiazhuang, and Langfang. Secondly, the difference of heat and water vapor causes the different characteristics of 3 centers: local rainstorm in Qinhuangdao are accompanied by large-scale energy front and water vapor transportation, and radar echoes are banded and mixed; while local rainstorms in Shijiazhuang and Langfang occur at high temperature and moisture environment without large-scale water vapor transportation, and the radar echoes are dense block convective echoes. Lastly, the trigger mechanisms of the 3 strong rainfall centers are different: the local rainstorm in Qinhuangdao is triggered by the shear lines in middle and low level, and multiple convective cells affect successively resulting in “train effect”; while the local rainstorms generated by meso-scale convective systems in Shijiazhuang and Langfang are triggered by the northeast or east wind in the boundary layer. Keywords—subtropical high moving north, local rainstorm, radar characteristics, trigger mechanism 摘要—利用常规气象观测资料、自动站资料、雷达和 FNL 再分析资料,对 2017 年 7 月 20-22 日副高持续北抬过程中的 河北省局地暴雨中尺度特征进行了深入分析,并就其成因进 行了探讨。首先,本次局地暴雨属于夏季风北上产生的暴 雨,雨量分布极为不均,有 3 个强降水中心,分别位于秦皇 岛、石家庄、廊坊。其次,环境热力和水汽的差异导致 3 个 强降水中心的特征不同:秦皇岛的局地暴雨伴随有天气尺度 的能量锋和水汽输送,雷达回波呈带状混合性回波;石家庄 和廊坊的局地暴雨发生在高温高湿的环境中,没有天气尺度 的水汽输送,雷达回波为结构密实的块状对流回波。最后,3 个强降水中心的触发机制不同:秦皇岛局地暴雨由中低层切 变线触发,多个对流单体相继影响,造成列车效应;石家庄 和廊坊的局地暴雨由边界层东北风或偏东风渗透触发中尺度","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"51 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":"126638442","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}

{"title":"Comparative Study of Land Wind and Sea Wind in Qinhuangdao Based on Large Data Analysis","authors":"Chengyu Yan, Guohua Zhang, Zhizheng Mao, Haoye Liu, Yang Li","doi":"10.2991/dramclr-19.2019.19","DOIUrl":"https://doi.org/10.2991/dramclr-19.2019.19","url":null,"abstract":"Using the mobile weather station wind data installed on the \"Prince\" cruise ship on Qinhuangdao from August 2 to 10, 2016, the wind speed(sea wind) on the cruise ship route was obtained using the true wind observation algorithm. A comparative analysis of the meteorological observation station(near-shore wind) in the Haigang District closest to this cruise ship terminal and the Qinhuangdao National Basic Weather Station(land wind) shows that when controlled by the weak pressure field, the sea wind speed of Qinhuangdao is generally greater than the near-shore wind speed and the land wind speed about 1 to 2 wind levels. The use of near-shore wind speed to revise the sea wind speed is slightly better than the use of land wind speed to revise the sea wind speed; The sea winds are generally deflected clockwise from the near-shore winds and the land winds.However, it is unrealistic to use the near-shore wind or land wind direction to accurately adjust the sea wind direction. Keywords— Land wind; near-shore wind; sea wind; true wind algorithm; Qinhuangdao 摘要—利用 2016 年 8 月 2-10 日秦皇岛“王子号”游船上 安装的移动气象站风资料,采用真风观测算法得到游船航线上 的海上风向风速(海上风),与距此游船码头最近的海港区求 仙公园气象观测站(近岸风)、秦皇岛国家基本气象站资料(陆 上风)进行对比分析,结果表明:当受弱气压场控制时,秦皇 岛近海风速一般大于近岸风速和陆上风速约 1~2 个风级,用近 岸风速订正海上风略优于用陆上风速订正海上风速;海上风向 一般较陆上风、近岸风顺时针偏转,但偏转角度差异很大,若 想利用近岸风或陆上风风向精确调整海上风风向不现实。 关键词:陆上风,近岸风,海上风,真风算法,秦皇岛","PeriodicalId":142201,"journal":{"name":"Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)","volume":"96 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":"130951666","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}

{"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}