本数据集专注于巢湖流域内主要城市包括舒城县、合肥市、肥西县、肥东县、巢湖市、庐江县及无为市7座城市的地理位置信息，通过高精度空间数据技术与地理信息系统（GIS）的综合应用，精确界定了各城市的名称、地理位置坐标。\n
通过利用本数据集，可助力提升巢湖流域各城市的管理效率，促进区域经济的均衡与可持续发展，同时增强对自然灾害的抵御能力，为构建宜居、韧性、绿色的城市环境提供坚实的数据支撑。", "ds_source": "
数据集的核心部分来源于国家及各省市的统计局、地理信息局等官方机构。", "ds_process_way": "
（1）将收集到的行政区划数据进行整合，确保每个城市的名称、行政区划代码、地理位置坐标等信息都准确无误。\n
（2）将城市的地理位置坐标和边界信息进行整合，生成包含所有主要城市的地理位置数据集。\n
（3）使用地理信息系统（GIS）软件对数据进行准确性检查，确保城市的地理位置和边界信息与实际情况相符。\n
（4）使用地理信息系统（GIS）软件，根据整合后的地理位置数据集制作巢湖流域主要城市的地图。", "ds_quality": "
数据集的核心数据来源于国家及各省市的统计局、地理信息局等官方机构，确保了数据的权威性和准确性。同时，通过在线地图服务、专业GIS数据源ArcGIS以及实地调研等多种手段对数据进行验证和补充，进一步提升了数据的准确性。每个城市的地理位置坐标等关键信息均经过严格核对，确保与实际情况相符。", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "巢湖流域", "ds_acq_lon_east": 118.36, "ds_acq_lat_south": 30.94, "ds_acq_lon_west": 116.39, "ds_acq_lat_north": 32.13, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 3498, "ds_files_count": 6, "ds_format": "*.adf", "ds_space_res": "30m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "Albers Equal Area Conic Projection System", "ds_thumbnail": "81b39a97-47e6-42b4-a5ce-b23b90560f3b.png", "ds_thumb_from": 0, "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": [ "170.4510" ], "quality_level": 3, "publish_time": "2025-03-27 17:29:55", "last_updated": "2025-06-30 11:34:29", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NHRI.DB6781.2025", "i18n": { "en": { "title": " Data set of major cities in the Chaohu Lake Basin", "ds_format": "*.adf", "ds_source": "
The core part of the dataset comes from official organizations such as national and provincial statistical bureaus and geographic information bureaus.", "ds_quality": "
The core data of the dataset comes from the national and provincial statistical bureaus, geographic information bureaus, and other official organizations, which ensures the authority and accuracy of the data. At the same time, the data are verified and supplemented by a variety of means, including online map services, ArcGIS, a professional GIS data source, as well as field research, to further enhance the accuracy of the data. Key information such as the geographic coordinates of each city is strictly checked to ensure that it matches the actual situation.", "ds_ref_way": "", "ds_abstract": "
This dataset focuses on the geographic location information of seven major cities in the Chaohu Lake Basin, including Shucheng County, Hefei City, Feixi County, Feidong County, Chaohu City, Lujiang County, and Wuhu City, and accurately defines the names and geographic coordinates of each city through the integrated application of high-precision spatial data technology and geographic information systems (GIS).\n
By utilizing this dataset, it can help improve the management efficiency of the cities in the Chaohu Lake Basin, promote the balanced and sustainable development of the regional economy, and at the same time, enhance the resilience to natural disasters, and provide a solid data support for the construction of a livable, resilient and green urban environment.
", "ds_time_res": "", "ds_acq_place": "Chaohu lake basin", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "(1) Integrate the collected administrative division data to ensure that each city's name, administrative division code, geographic location coordinates, and other information are accurate.\n
(2) Integrate the geographic coordinates and boundary information of the cities to generate a geographic location dataset containing all major cities.\n
(3) The data were checked for accuracy using Geographic Information System (GIS) software to ensure that the geographic location and boundary information of the cities matched the actual situation.\n
(4) Use geographic information system (GIS) software to produce maps of the major cities in the Chaohu Lake Basin based on the integrated geographic location dataset.", "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": [ "巢湖流域", "城市", "遥感影像" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "舒城县", "合肥市", "肥西县", "肥东县", "巢湖市", "庐江县", "无为市" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "胡庆芳", "email": "hqf_work@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "胡庆芳", "email": "hqf_work@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "胡庆芳", "email": "hqf_work@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "category": "基础地理" }