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2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China;
4. Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;
5. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=xl3K7fp60leL4u+9Rrtp7Q==, pdfFileSize=983785, 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=1242138544282608167, articleId=1242138541564699158, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=“一带一路”区域自然灾害风险协同管理模式, 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=联合国《2015—2030年仙台减轻灾害风险框架》明确指出,减轻灾害风险是全世界的当务之急,但是在区域和地方尺度上落实国际层面的努力与共识,仍然有很多工作要做。因此,需要针对区域灾害与社会经济特征,提出有针对性的灾害风险管理模式。综合考虑“一带一路”区域的自然灾害特征性、孕灾承灾环境多样性、经济社会发展水平差异性等现状,提出了“一带一路”区域自然灾害风险协同管理模式。它是一种多层次、多元主体协同、覆盖灾害风险管理全周期,以域内国家政府为主导,通过政府高层制定框架协议引导,吸引多元主体参与的灾害风险协同管理的模式。协同的内涵体现在:管理主体的协同、上下管理层级的协同、利益相关方的协同、灾害风险管理各环节的协同等方面,即纵向协同、横向协同和链式协同,达成最大共识,汇聚各方资源,提高“一带一路”区域抵抗自然灾害风险的能力,助力区域可持续发展。, authors=崔鹏1,2,3,4, 吴圣楠1,2,5, 雷雨2,4, 张正涛1, 邹强3,4, authorsList=崔鹏, 吴圣楠, 雷雨, 张正涛, 邹强, authorCompany=1. 中国科学院地理科学与资源研究所陆地表层格局与模拟院重点实验室, 北京 100101;
2. 中国科学院大学, 北京 100049;
3. 中国科学院青藏高原地球科学卓越创新中心, 北京 100101;
4. 中国科学院·水利部成都山地灾害与环境研究所, 中国科学院山地灾害与地表过程重点实验室, 成都 610041;
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科技导报 | 专题:“一带一路”防灾减灾与可持续发展 2020, 38(16): 35-44
“一带一路”区域自然灾害风险协同管理模式
全屏
崔鹏1,2,3,4, 吴圣楠1,2,5, 雷雨2,4, 张正涛1, 邹强3,4
作者信息
    1. 中国科学院地理科学与资源研究所陆地表层格局与模拟院重点实验室, 北京 100101;
    2. 中国科学院大学, 北京 100049;
    3. 中国科学院青藏高原地球科学卓越创新中心, 北京 100101;
    4. 中国科学院·水利部成都山地灾害与环境研究所, 中国科学院山地灾害与地表过程重点实验室, 成都 610041;
    5. 北京师范大学地理科学学部, 北京 100875
Disaster risk management pattern along the Belt and Road regions
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出版时间: 2020-08-28 doi: 10.3981/j.issn.1000-7857.2020.16.004
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联合国《2015—2030年仙台减轻灾害风险框架》明确指出,减轻灾害风险是全世界的当务之急,但是在区域和地方尺度上落实国际层面的努力与共识,仍然有很多工作要做。因此,需要针对区域灾害与社会经济特征,提出有针对性的灾害风险管理模式。综合考虑“一带一路”区域的自然灾害特征性、孕灾承灾环境多样性、经济社会发展水平差异性等现状,提出了“一带一路”区域自然灾害风险协同管理模式。它是一种多层次、多元主体协同、覆盖灾害风险管理全周期,以域内国家政府为主导,通过政府高层制定框架协议引导,吸引多元主体参与的灾害风险协同管理的模式。协同的内涵体现在:管理主体的协同、上下管理层级的协同、利益相关方的协同、灾害风险管理各环节的协同等方面,即纵向协同、横向协同和链式协同,达成最大共识,汇聚各方资源,提高“一带一路”区域抵抗自然灾害风险的能力,助力区域可持续发展。
自然灾害  /  风险管理模式  /  协同治理  /  一带一路
The UN Sendai Framework for Disaster Risk Reduction says that the disaster risk reduction is imperative for all mankind. The consensus and the efforts with respects to the disaster risk reduction at the international level are expected in regional and local levels; and it is necessary to explore the disaster risk pattern and its regional and local features. This paper analyzes a coordinative regional disaster risk management model in the physical and social contexts of the Belt and Road regions. This model coordinates stakeholders and tasked the stakeholder at multiple levels with different responsibilities, from a national framework to a regional and local government action plan. In addition, different phases of a disaster event are covered by the risk management pattern to enhance the resilience to disaster risks of all stakeholders in the regions for the regional sustainable development.
disaster  /  disaster risk management pattern  /  coordinative governance  /  the Belt and Road
崔鹏, 吴圣楠, 雷雨, 张正涛, 邹强. “一带一路”区域自然灾害风险协同管理模式. 科技导报, 2020 , 38 (16) : 35 -44 . DOI: 10.3981/j.issn.1000-7857.2020.16.004
CUI Peng, WU Shengnan, LEI Yu, ZHANG Zhengtao, ZOU Qiang. Disaster risk management pattern along the Belt and Road regions[J]. Science & Technology Review, 2020 , 38 (16) : 35 -44 . DOI: 10.3981/j.issn.1000-7857.2020.16.004
2020年第38卷第16期
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doi: 10.3981/j.issn.1000-7857.2020.16.004
  • 接收时间:2019-07-20
  • 首发时间:2020-09-09
  • 出版时间:2020-08-28
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  • 收稿日期:2019-07-20
  • 修回日期:2020-03-31
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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