以各个城市统计部门、水文部门、市政部门等公布的统计数据作为基础数据，搜集了1999-2020年的韧性评价指标数据，并针对指标需求开展进一步计算，对于缺测年份的数据采用前后年份数据线性插值的方法获取，以满足指标数据的连贯性。", "ds_source": "
韧性评价指标的基础数据来源于各城市统计部门、水文部门、市政部门等公布的统计数据。", "ds_process_way": "
（1）基于各城市统计部门、水文部门、市政部门等公布的统计数据，做进一步的计算以满足建立的韧性评价框架中的指标需求；\n
（2）对于缺测年份的数据采用前后年份数据线性插值的方法获取，以满足指标数据的连贯性。", "ds_quality": "
韧性指标数据主要来源于各省市发布的统计年鉴数据，与实际情况贴合。因此，本数据集可作为太湖流域洪涝应对韧性评价的可靠基础数据。", "ds_acq_start_time": "2022-09-01 00:00:00", "ds_acq_end_time": "2022-09-01 00:00:00", "ds_acq_place": "太湖流域", "ds_acq_lon_east": 122.0, "ds_acq_lat_south": 30.0, "ds_acq_lon_west": 119.0, "ds_acq_lat_north": 32.266666666666666, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 89436, "ds_files_count": 2, "ds_format": "*.xlsx", "ds_space_res": "0.1°", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "Albers Equal Area Conic Projection System", "ds_thumbnail": "1f8d412a-c4b3-4a0c-93cd-790d0516005f.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "37eb642a-c117-47e4-a677-07ecffb4b8b7", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.55" ], "quality_level": 3, "publish_time": "2025-02-27 18:55:32", "last_updated": "2025-06-30 11:40:12", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NHRI.DB6770.2025", "i18n": { "en": { "title": "Dataset of flood resilience evaluation indicators for the Lake Tai Basin (1999-2020)", "ds_format": "*.xlsx", "ds_source": "
The basic data for the resilience evaluation indicators come from statistical data published by the statistical department, hydrological department, municipal department, etc. of each city.", "ds_quality": "
The data of resilience indicators are mainly derived from the statistical yearbook data released by provinces and cities, which are close to the actual situation. Therefore, this dataset can be used as a reliable basic data for the evaluation of flood response resilience in the Lake Tai basin.", "ds_ref_way": "", "ds_abstract": "
Using the statistical data published by each city's statistical department, hydrological department, municipal department, etc. as the basic data, we collected the resilience evaluation index data from 1999 to 2020, and carried out further calculations in response to the index demand, and used the method of linear interpolation of the data before and after the year of the data of the missing years to obtain the data to meet the coherence of the index data.
", "ds_time_res": "年", "ds_acq_place": "Taihu basin", "ds_space_res": "0.1°", "ds_projection": "", "ds_process_way": "(1) Based on the statistical data published by each city's statistical department, hydrological department, municipal department, etc., further calculations are done to meet the indicator needs in the established resilience evaluation framework;\n
(2) For the data of the missing years of the measurement, the data of the preceding and following years are obtained by linear interpolation to meet the coherence of the indicator data.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "长江下游地区", "太湖流域", "洪涝应对韧性", "指标体系" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "长江下游", "太湖" ], "ds_time_tags": [ 1999, 2020 ], "ds_contributors": [ { "true_name": "卢开东", "email": "lukaidong@outlook.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "卢开东", "email": "lukaidong@outlook.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "卢开东", "email": "lukaidong@outlook.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "category": "其他" }