{"id":"144f8538-ada9-4d57-ae71-a2ff3a7e60ff","title":"泛第三极34个关键节点高温热浪敏感性数据集（2015）","title_en":"Heat wave vulnerability data set of 34 key nodes in 2015","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":"栅格形式，可以采用ArcGIS、ENVI等打开查看和分析。","description":"脆弱性是指由于系统对系统内外扰动的敏感性以及缺乏应对能力从而使系统的结构和功能容易发生改变的一种属性，即高温热浪发生时区域应对灾害以减少损失的能力。本数据集以2015年为基准年，泛第三极区域路网数据、GDP数据、医疗设施空间分布数据、植被覆盖度数据、水体分布数据为基础数据。采取欧式距离计算法明确区域内路网、水体及医疗设施的空间分布情况，并以距道路距离、距水体距离、距医疗设施距离、GDP及植被覆盖度为评价指标，采取等权重叠加法评估各节点高温热浪脆弱性。为消除单位差异性带来的影响，评估前对各指标层数据进行归一化处理，最后利用自然间断点法划分各节点脆弱性等级。","doi":"10.11888/Meteoro.tpdc.270426","projection":"","language":"zh","share_type":"online","east":-165.0,"west":12.0,"south":-12.0,"north":85.0,"scale":70000000,"crs":null,"filesize":6144.0,"share_policy":"a","ts_created":"2020-02-03T07:37:28.642464+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-18T07:58:32.759901+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":"冉有华","username":"ryh","email":"ranyh@lzb.ac.cn","is_cancel_expert":false}],"review_editor":{"id":42023,"last_login":"2022-03-24T09:37:33.507049+08:00","username":"yanmh","email":"yanmh@itpcas.ac.cn","is_active":true,"is_staff":true,"user_name":"闫梦还"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"10m - 100m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"144f8538-ada9-4d57-ae71-a2ff3a7e60ff","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-03-10T05:47:37.070033+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":2116}