{"id":"708446f5-081f-451a-9292-8a716ef3be85","title":"风暴潮灾害危险性空间分布数据集（2018）","title_en":"Storm Surge Hazard spatial distribution data set (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":"栅格格式，使用ARCGIS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34个关键接诶单区域的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危险性相关的指标，如节点潮位历史强度、风暴历史到达频次、历史损失、离岸线的距离等指标。在此基础上，构建风暴潮灾害危险性评估指数，利用加权方法综合上述各指标得到风暴潮危险指数。最后对风暴潮危险指数进行归一化处理，得到0-1之前的危险指数值，以此来评价各评估单元风暴潮危险性的高低，并可用于进行风暴潮危险等级评估。数据集包括“一带一路”沿线34个节点中有风暴潮灾害危险的11个节点的危险性评估结果图。","doi":"10.11888/Disas.tpdc.270414","projection":null,"language":"zh","share_type":"online","east":180.0,"west":12.0,"south":-11.0,"north":82.0,"scale":null,"crs":null,"filesize":4085.0,"share_policy":"a","ts_created":"2020-01-29T18:58:32.120795+08:00","doi_type":"","ts_updated":"2021-04-19T18:24:02.246488+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":42423,"last_login":"2022-04-08T09:30:55.983765+08:00","username":"吴强林","email":"wuql@itpcas.ac.cn","is_active":true,"is_staff":true,"user_name":"吴强林"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"708446f5-081f-451a-9292-8a716ef3be85","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-03-04T21:39:07.545025+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":2628}