{"id":"0933ec3e-5562-4b99-bc0f-c61e7b403b1f","title":"极端降水灾害危险性空间分布数据集（2020）","title_en":"Spatial distribution data set of extreme precipitation hazard (2020)","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":"危险性评价成果以tiff格式储存，可以使用ArcGIS打开，文件的名称为\"xxx.tif\"，其中xxx代表节点的名称","description":"此数据集以1984-2018年全球地表水数据（WOD）为基础，选取了极端降水频率指标和极端降水强度指标，结合ArcGIS中的空间分析方法，构建评估了34个关键节点在极端降水条件下发生洪涝灾害的危险性等级。34个关键节点百里级危险性评估数据集评估了“一带一路”重点区域在极端降水事件下的洪涝灾害危险性，为当地政府部门决策提供依据，同时以便在洪涝灾害发生前进行预警，从而可以争取到宝贵的时间采取防灾减灾措施，降低洪涝灾害所带来的人民群众生命财产损失。","doi":"","projection":"WGS84","language":"zh","share_type":"online","east":-180.0,"west":180.0,"south":-50.0,"north":50.0,"scale":1000,"crs":null,"filesize":2046.0,"share_policy":"a","ts_created":"2020-12-23T02:44:15.821781+08:00","doi_type":"国际公开共享数据","ts_updated":"2021-04-19T14:35:28.544319+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":"郑东海","username":"XDA20100100","email":"zhengd@itpcas.ac.cn","is_cancel_expert":false}],"review_editor":{"id":42421,"last_login":"2022-04-08T15:16:51.670544+08:00","username":"任慧霞","email":"510727846@qq.com","is_active":true,"is_staff":true,"user_name":"任慧霞"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"10m - 100m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"0933ec3e-5562-4b99-bc0f-c61e7b403b1f","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":971}