所采用的数据源为DEM，从地理空间数据云（http://www.gscloud.cn/search）下载，对多幅DEM进行拼接，利用渭河流域的矢量边界对DEM进行裁剪，最终得到渭河流域DEM数据。通过水文分析可确定河流方向、提取河网、河网分级、提取流域，主要包括以下5部分：\n
1. 无洼地DEM生成：（1）水流方向提取；（2）洼地深度计算；（3）洼地填充。\n
2. 汇流累积量计算：（1）重新计算无洼地DEM水流方向；（2）计算汇流累积量。\n
3. 水流长度计算：（1）DOWNSTREAM-计算沿流路径从每个像元到栅格边上的汇点或出水口的下坡距离；（2）UPSTREAM-计算沿流路径从每个像元到分水岭顶部的最长上坡距离。\n
4. 河网提取：（1）河网生成；（2）Stream link生成（河网的连接点，包括弧段的起点和终点）；（3）河网分级生成。\n
5. 流域的分割：（1）流域盆地的确定；（2）汇水区出水口的确定；（3）集水流域的生成。
", "ds_source": "原始DEM数据从地理空间数据云（http://www.gscloud.cn/search）下载。
", "ds_process_way": "1.数据所采用的数据源为DEM，从地理空间数据云(http://www.gscloud.cn/search）下载。对多幅DEM进行拼接，利用渭河流域的矢量边界对DEM进行裁剪，最终得到渭河流域的DEM数据。\n
2.利用ArcGIS软件，运用水文分析工具提取河流网络、流向、流量、汇流累积量和水流长度等因子。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "渭河流域,陕西省,甘肃省,宁夏回族自治区", "ds_acq_lon_east": 110.27444444444444, "ds_acq_lat_south": 33.69611111111111, "ds_acq_lon_west": 103.9713888888889, "ds_acq_lat_north": 37.40833333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1118544070, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": "30", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "40e2ab9b-3674-4b66-848d-3c975a1bc778.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0d5fea4e-6fd7-4c70-b28b-3f91204c579a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-28 16:28:27", "last_updated": "2025-05-29 11:35:53", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.WRiver.2021.3", "i18n": { "en": { "title": "Data set of hydrological factors in the Weihe River Basin", "ds_format": "tif", "ds_source": "Raw DEM data downloaded from Geospatial Data Cloud (http://www.gscloud.cn/search).", "ds_quality": "
Data quality is good.", "ds_ref_way": "", "ds_abstract": "
The adopted data source is DEM, which is downloaded from Geospatial Data Cloud (http://www.gscloud.cn/search), splicing multiple DEMs, cropping DEMs using vector boundaries of the Weihe River Basin, and finally obtaining DEM data of the Weihe River Basin. The hydrological analysis can determine the river direction, extract the river network, classify the river network, and extract the watershed, which mainly includes the following five parts:\n
1. Depression-free DEM generation: (1) water flow direction extraction; (2) depression depth calculation; (3) depression filling.\n
2. Confluence Accumulation Calculation: (1) Recalculate the direction of flow in the undepressed DEM; (2) Calculate the Confluence Accumulation.\n
3. Flow length calculations: (1) DOWNSTREAM-calculates the downslope distance along the flow path from each image to the sink or outlet on the edge of the raster; (2) UPSTREAM-calculates the longest upslope distance along the flow path from each image to the top of the watershed.\n
4. River network extraction: (1) River network generation; (2) Stream link generation (connection points of the river network, including the start and end points of arc segments); (3) River network hierarchy generation.\n
5. Basin segmentation: (1) identification of basin basins; (2) identification of catchment outlets; and (3) generation of catchment basins.
", "ds_time_res": "", "ds_acq_place": "Weihe River Basin, Shaanxi Province, Gansu Province, Ningxia Hui Autonomous Region", "ds_space_res": "30", "ds_projection": "", "ds_process_way": "1. The data source used for the data was DEM, which was downloaded from Geospatial Data Cloud (http://www.gscloud.cn/search). Multiple DEMs were spliced, and the DEMs were cropped using the vector boundaries of the Weihe River Basin to finally obtain the DEM data of the Weihe River Basin.\n
&Emsp; 2. Using ArcGIS software, apply hydrologic analysis tools to extract factors such as river network, flow direction, flow, catchment accumulation and stream length.
", "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": [ "无洼地DEM", "汇流累积量", "水流长度", "河网提取", "流域的分割" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "渭河流域", "甘肃省", "宁夏回族自治区", "陕西省" ], "ds_time_tags": [], "ds_contributors": [ { "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" } ], "ds_meta_authors": [ { "true_name": "李红星", "email": "lihongxing@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_managers": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "基础地理" }