Article(id=1242138549282222115, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138518240179184, articleNumber=null, orderNo=10, doi=10.3981/j.issn.1000-7857.2020.16.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1588003200000, receivedDateStr=2020-04-28, revisedDate=1592496000000, revisedDateStr=2020-06-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1599632650427, onlineDateStr=2020-09-09, pubDate=1598544000000, pubDateStr=2020-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1599632650427, onlineIssueDateStr=2020-09-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078507962, creator=sys-migrate, updateTime=1774078507962, updator=sys-migrate, issue=Issue{id=1242138518240179184, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='16', pageStart='1', pageEnd='152', issueExtLink='null', onlineDate='null', pubDate='1598544000000', pubDateStr='2020-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=null, issueType=-1, specialIssue=null, createTime=1774078500562, creator='sys-migrate', updateTime=1774078500562, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=68, endPage=79, ext={EN=ArticleExt(id=1242138553933701759, articleId=1242138549282222115, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Spatial-temporal patterns of population exposed to the extreme maximum temperature events in the Belt and Road regions, columnId=1242138545050165813, journalTitle=Science & Technology Review, columnName=Exclusive: Silk-road risk reduction and sustainable development, runingTitle=null, highlight=null, articleAbstract=This paper investigates the extreme maximum temperature event characterization and the population exposure in the Belt and Road regions by using the maximum temperature form ERA-Interim reanalysis dataset and the gridded population dataset in the period from 1979 to 2018. The extreme maximum temperature threshold is determined based on the 95% quartile of the daily maximum temperature. The improved Intensity-Area-Duration (IAD) method is used to determine the extreme maximum temperature event characteristics and the quantitative assessment of the population exposure to these extreme events. It is shown that, in the Belt and Road area, the frequency, the intensity and the duration of the summer extreme maximum temperature events are increased in the 1979-2018 period. The significant increase area is distributed in eastern China, western Russia and Central Eastern Europe. In summer, the extreme maximum temperature events mostly occur in Kazakhstan, Xinjiang, and central Russia, generally, in the northern part of the study area. The intensity high value area is mainly distributed in Egypt, Saudi Arabia, Pakistan, India and other places in the southwest region whereas the duration high value area is concentrated in India mainly. During the study period, the yearly cumulative impact area and the population exposure to extreme temperature events show an upward trend, reaching the highest value in the past 10 years. Areas with the high population exposure are mainly distributed in eastern China, Indian continent and countries around the Black Sea and the areas with high population exposure are expanding. Among the influencing factors of the population exposure, the climate factor, the population factor, the interaction of the climate and population factors have a similar contribution rate, but the contribution rate of the climatic factors has increased significantly in the past 10 years. It is suggested to strengthen the research of monitoring, warning and forecast of the extreme maximum temperature events., authors=LÜ Yanran¹, JIANG Tong^1,3, TAO Hui³, ZHAI Jianqing², WANG Yanjun¹, authorsList=LÜ Yanran, JIANG Tong, TAO Hui, ZHAI Jianqing, WANG Yanjun, authorCompany=1. Institute for Disaster Risk Management, School of Geographical Sciences, Nanjing University of Information Science&Technology, Nanjing 210044, China;
2. National Climate Center, China Meteorological Administration, Beijing 100081, China;
3. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=14Asb4Tb1Ubb2+fTa7OPYQ==, pdfFileSize=7061327, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138552352452681, articleId=1242138549282222115, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=“一带一路”区域极端高温事件与人口暴露度特征, columnId=1242138544207110694, journalTitle=科技导报, columnName=专题：“一带一路”防灾减灾与可持续发展, runingTitle=null, highlight=null, articleAbstract=基于1979—2018年“一带一路”区域再分析数据集（ERA-Interim）夏季逐日最高气温和格网化的人口数据，选取日最高气温序列的95%分位数作为极端高温阈值，采用改进的强度-面积-持续时间（IAD）方法，辨识极端高温事件特征，并定量评估极端高温事件的人口暴露度。结果表明，1979—2018年“一带一路”区域夏季极端高温事件频次、强度和持续时间均呈上升趋势，年均值分别为11次、32.3℃和5.8 d，显著增加区域分布在中国东部、俄罗斯西部、中东欧地区；夏季极端高温事件多发于研究区偏北地区的哈萨克斯坦、中国新疆、俄罗斯中部等，但事件的强度高值区主要分布在西南部的埃及、沙特阿拉伯、巴基斯坦、印度等地，事件持续时间高值区集中分布在印度地区；1979—2018年夏季极端高温事件的年累计影响面积和人口暴露度均呈现上升趋势，近10年达到峰值。人口暴露度高值区主要分布在中国东部、印度大陆和黑海周边国家，且高暴露度范围不断扩大；人口暴露度变化的影响因素中，气候、人口、气候和人口综合因素的贡献率相当，但近10年气候因素的贡献率明显增加。建议加强高温等极端事件的监测、预警预报与区域合作研究，建立区域合作共同体，并培养和加强公众科学防灾减灾意识。, authors=吕嫣冉¹, 姜彤^1,3, 陶辉³, 翟建青², 王艳君¹, authorsList=吕嫣冉, 姜彤, 陶辉, 翟建青, 王艳君, authorCompany=1. 南京信息工程大学地理科学学院/灾害风险管理研究院, 南京 210044;
2. 中国气象局国家气候中心, 北京 100081;
3. 中国科学院新疆生态与地理研究所, 荒漠与绿洲生态国家重点实验室, 乌鲁木齐 830011, correspAuthors=null, authorNote=吕嫣冉,硕士研究生,研究方向为灾害风险管理,电子信箱:lvyanran1013@163.com, correspAuthorsNote=王艳君(通信作者),副教授,研究方向为气候变化社会经济影响的风险评估,电子信箱:yjwang78@163.com, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=7iet5UeGPq3l3oog+CGGJw==, pdfFileSize=7061327, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家重点研发计划项目（2018FY100501），江苏省研究生科研与实践创新计划项目（KYCX20_0957），国家自然科学基金项目（41971023）)}, authors=null, keywords=[Keyword(id=1242138551912050750, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138549282222115, language=CN, orderNo=1, keyword=极端高温事件), Keyword(id=1242138552000131136, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138549282222115, 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