该数据集为黄河上游、中游和下游全流域的河流网络数据集。当汇流量达到一定值的时候，就会产生地表水流，所有汇流量大于阈值的栅格就是潜在的水流路径，由这些水流路径构成的网络，就是河网。
\n本数据基于大于15000的汇流累积提取，并采用Strahler法对河网进行分级。
", "ds_source": "自主生产，原始黄河流域地形坡度数据集空间分辨率为30m。
", "ds_process_way": "Hydrology水文工具软件提取,地表径流漫流模型。
", "ds_quality": "本数据集经过DEM改正，平面精度和高程精度均小于一个像元。
", "ds_acq_start_time": "2020-01-01 00:00:00", "ds_acq_end_time": "2020-03-01 00:00:00", "ds_acq_place": "黄河流域", "ds_acq_lon_east": 119.345, "ds_acq_lat_south": 32.84166666666667, "ds_acq_lon_west": 95.88194444444444, "ds_acq_lat_north": 41.84388888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 462460921, "ds_files_count": 11, "ds_format": "tiff", "ds_space_res": "30", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "WGS_1984_Word_Merctor", "ds_thumbnail": "13b78125-ea8f-4402-bd1b-722e8e3add3a.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "在使用数据时，请注明本数据来自国家冰川冻土沙漠科学数据中心。", "ds_from_station": null, "organization_id": "b412fac3-1f10-4eb6-9d10-c51bcea30d0c", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.55" ], "quality_level": 3, "publish_time": "2021-09-01 09:17:36", "last_updated": "2025-05-29 10:53:10", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1677", "i18n": { "en": { "title": "Dataset of Hydrological Analysis in the Yellow River Basin - River Network", "ds_format": "tiff", "ds_source": "Self-produced, the spatial resolution of the original topographic slope dataset for the Yellow River Basin is 30m.
", "ds_quality": "This dataset has undergone DEM correction, with both planimetric accuracy and elevation accuracy being less than one pixel.
", "ds_ref_way": "", "ds_abstract": "This dataset represents the river network across the entire Yellow River Basin, including its upstream, midstream, and downstream regions. When the confluence flow reaches a certain value, surface water flow is generated. All grids with a confluence flow greater than the threshold value represent potential water flow paths. The network formed by these water flow paths is known as the river network.
\nThis data is extracted based on a confluence accumulation greater than 15,000 and employs the Strahler method to classify the river network.
", "ds_time_res": "", "ds_acq_place": "Yellow River Basin", "ds_space_res": "30", "ds_projection": "WGS_1984_Word_Merctor", "ds_process_way": "Extracted using the Hydrology hydrological tool software, it represents a surface runoff overland flow model.
", "ds_ref_instruction": "When using data, please indicate that this data is from the national glacier, frozen soil and desert science data center." } }, "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": [ "分级河网", "水文分析", "河网", "河流网络", "黄河流域" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "黄河流域", "黄河", "黄河上中下游" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "张耀南", "email": "yaonan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "康建芳", "email": "kangjf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "category": "水文" }