{"id":"a2b6335c-0adc-4309-8a4e-0a0743f85a04","title":"泛第三极风暴潮承灾体脆弱性评估数据集（2018）","title_en":"Dataset for vulnerability assessment of the disaster bearing body of the extensive third pole (2018)","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"数据以栅格tif格式存储，文件为国家名称存放，可使用ARCGIS、Wps等软件打开.","description":"基于全球热带气旋路径数据、全球灾害事件及损失数据、全球潮位观测数据以及一带一路区域的DEM数据、海岸线分布数据、土地覆盖信息、人口及其他相关数据，以百米网格为评估单元，提取并计算每个单元里与风暴潮灾害脆弱性相关的指标，如人口密度、GDP值、土地覆盖类型等指标。在此基础上，构建风暴潮灾害脆弱性综合指数，利用加权方法综合上述各指标得到风暴潮脆弱性指数。最后对风暴潮风险指数进行归一化处理，得到0-1之前的脆弱性指数值，以此来评价各评估单元风暴潮脆弱性的高低，并可用于进行风暴潮脆弱等级评估。\n关键节点数据集中仅包含了存在风险的11个节点区域 (孟加拉吉大港、缅甸皎漂港、印度加尔各答、缅甸仰光港、巴基斯坦卡拉奇、孟加拉达卡、印度孟买、斯里兰卡汉班托塔港、泰国曼谷、中缅石油天然气管道、雅万高铁）。","doi":"","projection":"","language":"zh","share_type":"online","east":109.0,"west":11.0,"south":2.0,"north":51.0,"scale":null,"crs":null,"filesize":1530.0,"share_policy":"a","ts_created":"2020-02-28T07:03:49.157767+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T11:20:02.705698+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[11],"specials":["f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":null,"review_status":5,"review_invite":[{"user_name":"马伟强","username":"wqma","email":"wqma@itpcas.ac.cn","is_cancel_expert":false}],"review_editor":{"id":21057,"last_login":"2022-04-02T11:43:37.753860+08:00","username":"gecm","email":"gechm@lzb.ac.cn","is_active":true,"is_staff":true,"user_name":"盖春梅"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"1km - 10km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"a2b6335c-0adc-4309-8a4e-0a0743f85a04","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-02-28T07:52:41.295233+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":1121}