{ "created": "2023-10-30 15:33:09", "updated": "2026-05-02 01:10:29", "id": "14d7745f-095c-4d47-8b7f-4d1f8481f92c", "version": 5, "ds_topic": null, "title_cn": "甘肃省水文因子数据集", "title_en": "Hydrological Factor Dataset of Gansu Province", "ds_abstract": "

  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，利用甘肃省的矢量边界对DEM进行裁剪，最终得到甘肃省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，数据集包含5个文件夹（.tif）：

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  1_无洼地DEM：填洼前流向.tif、洼地_汇.tif、洼地贡献区域.tif、洼地贡献区域的最低高程.tif、洼地贡献区域出口的最高高程.tif、洼地深度.tif、洼地填充.tif（即无洼地DEM）。

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  2_流向流量：流向.tif、流量.tif。

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  3_水流长度：flowdown.tif、flowup.tif。

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  4_河网：河网阈值30000.tif、河网矢量.shp、河流连接streamlink.tif、河流连接streamlink矢量、STRAHLER河网分级.tif、STRAHLER河网分级矢量.shp、SHREVE河网分级.tif、SHREVE河网分级.shp。", "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. 无洼地DEM生成：（1）水流方向提取；（2）洼地深度计算；（3）洼地填充获得无洼地DEM。\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（即顺流计算）；（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（即逆流计算）。\n

  4. 河网提取：（1）生成河网，阈值选取30000，平滑值0.001；（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（STRAHLER河网分级、SHREVE河网分级）。", "ds_quality": "

  数据质量良好。

", "ds_acq_start_time": "2023-01-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "甘肃省", "ds_acq_lon_east": 108.7075, "ds_acq_lat_south": 32.596111111111114, "ds_acq_lon_west": 92.33777777777777, "ds_acq_lat_north": 42.79333333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 19276938629, "ds_files_count": 112, "ds_format": "tif、shp", "ds_space_res": "30", "ds_time_res": "30m", "ds_coordinate": "WGS84", "ds_projection": "GCS_WGS_1984", "ds_thumbnail": "14d7745f-095c-4d47-8b7f-4d1f8481f92c.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "526ff655-4cd4-4650-bb86-6fd3481dfb65", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.40", "170.4510" ], "quality_level": 3, "publish_time": "2023-12-27 11:31:39", "last_updated": "2025-06-30 16:30:18", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.GSEER.DB4096.2023", "i18n": { "en": { "title": "Hydrological Factor Dataset of Gansu Province", "ds_format": "tif、shp", "ds_source": "

    Raw DEM data from geospatial data cloud（ http://www.gscloud.cn/search ）Download.

", "ds_quality": "

    The data quality is good.

", "ds_ref_way": "", "ds_abstract": "

    The data source used is DEM, sourced from geographic spatial data cloud（ http://www.gscloud.cn/search ）Download and concatenate multiple DEMs, crop the DEMs using the vector boundaries of Gansu Province, and finally obtain the DEM data of Gansu Province. Hydrological analysis can determine the direction of rivers, extract river networks, classify river networks, and extract watersheds. The dataset includes 5 folders (. tif):

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    1_No Depression DEM: Flow direction before filling depression. tif, depression convergence. tif, depression contribution area. tif, lowest elevation of depression contribution area. tif, highest elevation of depression contribution area exit. tif, depression depth. tif, depression filling. tif (i.e. no depression DEM).

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    Flow direction: flow direction. tif, flow direction. tif.

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    3_ Water flow length: flowdown.tif, flowup.tif.

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    4_ River Network: River Network Threshold 30000.tif, River Network Vector. shp, River Connection Streamlink.tif, River Connection Streamlink Vector, STRALLER River Network Grading. tif, STRALLER River Network Grading Vector. shp, SHREVE River Network Grading. tif, SHREVE River Network Grading. shp.

", "ds_time_res": "30m", "ds_acq_place": "Gansu Province", "ds_space_res": "30", "ds_projection": "", "ds_process_way": "

    1. Generation of DEM without depressions: (1) Extraction of water flow direction; (2) Calculation of depression depth; (3) Fill the depression to obtain a depression free DEM.\n

    2. Calculation of cumulative runoff: (1) Recalculate the direction of water flow in the DEM without depressions; (2) Calculate the cumulative amount of convergence.\n

    3. Calculation of water flow length: (1) DownStream - calculates the downhill distance from each pixel along the flow path to the convergence point or outlet on the grid edge (i.e. downstream calculation); (2) UPR - Calculate the longest uphill distance along the flow path from each pixel to the top of the watershed (i.e. counter current calculation).\n

    4. River network extraction: (1) Generate a river network with a threshold of 30000 and a smoothing value of 0.001; (2) Stream link generation (connection points of river network, including the starting and ending points of arc segments); (3) River network classification generation (STRALLER River Network Classification, SHREVE River Network Classification).", "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": [ "河流网络", "流向", "汇", "水流长度", "流量" ], "ds_subject_tags": [ "地图学", "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃省" ], "ds_time_tags": [ 2023 ], "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" }