{"id":"637e99a1-be38-4a9f-8af9-a8600e13d568","title":"中国陆表人为热排放通量数据集（2000-2016）","title_en":"Time-series anthropogenic heat flux of China land surface","serial":"","user_limit":"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（标注或引用：S. Wang, D. Hu, C. Yu, et al., Mapping China's time-series anthropogenic heat flux with inventory method and multi-source remotely sensed data, Science of the Total Environment (2020), https://doi.org/10.1016/j.scitotenv.2020.139457）。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":"文件命名：AHF+YYYY，其中yyyy代表年\n数据读取方式：GeoTiff格式，输出过程采用了压缩算法。推荐ArcGIS读取。","description":"人为热是城市化的产物之一，是指人类活动产生并释放到大气中的热量，主要来自各种类型的能源消耗和生物代谢。本数据集为中国陆表区域2000-2016年（2000/2004/2008/2012/2016）500m×500m空间分辨率的地表人为热排放通量数据。数据来源及加工方法：（1）通过收集2000-2016年各省市的能源消费数据和社会经济数据，采用清单法估算地级市（地、区、盟）的年平均AHF；（2） 综合多源遥感数据建立AHF估计模型，得到网格AHF；（3）对时间序列AHF估计结果进行分析和检验，修正偏差值，提高AHF估计结果的准确性。了解和掌握人为热排放及其变化，对于了解城市化对气候、环境和社会的影响具有重要意义。","doi":"10.11888/Socioeco.tpdc.270403","projection":"WGS84","language":"zh","share_type":"online","east":135.0,"west":73.0,"south":18.0,"north":54.0,"scale":null,"crs":null,"filesize":1520.0,"share_policy":"a","ts_created":"2020-05-28T02:04:05.604897+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T10:50:58.659383+08:00","time_description":"2000年-2016年","datas_group":3,"time_description_en":"2000-2016","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[],"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":"-","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[318],"subtopics":{"metadata":"637e99a1-be38-4a9f-8af9-a8600e13d568","three_pole":null,"third_pole":null},"username":"胡德勇","review_time":"2020-05-27T19:22:02.625228+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":2604}