{ "created": "2023-02-22 10:43:49", "updated": "2026-05-06 20:58:27", "id": "fdd476f2-c634-4132-90a6-bd7294003be7", "version": 3, "ds_topic": null, "title_cn": "祁连山国家公园水土流失数据（1982-2020年）", "title_en": "Water and soil loss data of Qilian Mountain National Park (1982-2020)", "ds_abstract": "

  该数据包含了祁连山从1982年至2020年的水土流失栅格数据集，地理坐标系WGS_1984,投影坐标系Albers。基于RUSLE模型中土壤侵蚀力因子、坡度坡长因子、降雨侵蚀力因子、植被覆盖与管理因子等结果,通过RUSLE模型模拟获得1982—2020年祁连山国家公园土壤侵蚀量，不同区域土壤侵蚀强度存在高度非均质性。", "ds_source": "

  依据联合国粮食及农业组织(FAO）和国际应用系统分析研究所（IIASA）建立的世界土壤数据库（HWSD)获取研究区土壤相关数据，植被数据由GIMMS NDVI数据与MODIS NDVI数据获得，DEM数据来源于地理空间数据云。", "ds_process_way": "

  基于降水数据、DEM数据、土壤数据、植被数据等，计算获得RUSLE模型中土壤侵蚀力因子、坡度坡长因子、降雨侵蚀力因子、植被覆盖与管理因子等结果,通过RUSLE模型模拟获得1982—2020年祁连山国家公园土壤侵蚀量，不同区域土壤侵蚀强度存在高度非均质性。", "ds_quality": "

  严格遵循相关技术规定和标准进行数据加工，操作规范，数据完整性，逻辑一致性，精度高，质量较好。", "ds_acq_start_time": "1982-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "祁连山", "ds_acq_lon_east": 102.98333333333333, "ds_acq_lat_south": 36.77916666666667, "ds_acq_lon_west": 94.81666666666666, "ds_acq_lat_north": 39.79722222222222, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 16476325, "ds_files_count": 2, "ds_format": "栅格数据", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "fdd476f2-c634-4132-90a6-bd7294003be7.jpg", "ds_thumb_from": 2, "ds_ref_way": "王让会，祁连山国家公园水土流失数据（1982-2020年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2023，doi：10.12072/ncdc.nieer.db2734.2023", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52109486-75ef-4764-a933-6380c6f42432", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.nieer.db2734.2023", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-02-28 21:21:31", "last_updated": "2023-03-01 11:00:08", "protected": false, "protected_to": "2024-01-01 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2734.2023", "i18n": { "en": { "title": "Water and soil loss data of Qilian Mountain National Park (1982-2020)", "ds_format": "", "ds_source": "

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  According to the World Soil Database (HWSD) established by the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA), the soil related data in the study area was obtained. The vegetation data was obtained from the GIMMS NDVI data and MODIS NDVI data. The DEM data was derived from the geo-spatial data cloud.", "ds_quality": "

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  Strictly follow relevant technical regulations and standards for data processing, operation specifications, data integrity, logic consistency, high accuracy and good quality.", "ds_ref_way": "", "ds_abstract": "

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  This data includes the grid data set of water and soil loss in Qilian Mountains from 1982 to 2020, and the geographic coordinate system WGS_ 1984, projection coordinate system Albert. Based on the results of soil erosivity factor, slope length factor, rainfall erosivity factor, vegetation cover and management factor in RUSLE model, the amount of soil erosion in Qilian Mountain National Park from 1982 to 2020 was obtained through RUSLE model simulation, and the soil erosion intensity in different regions was highly heterogeneous.

", "ds_time_res": "日", "ds_acq_place": "Qilian Mountains", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
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  Based on precipitation data, DEM data, soil data, vegetation data, etc., the results of soil erosivity factor, slope length factor, rainfall erosivity factor, vegetation cover and management factor in RUSLE model are calculated, and the soil erosion amount of Qilian Mountain National Park from 1982 to 2020 is obtained through RUSLE model simulation. The soil erosion intensity in different regions is highly heterogeneous.", "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": [ "祁连山", "水土流失", "栅格数据集", "RUSLE模型" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山" ], "ds_time_tags": [ 1982, 2020 ], "ds_contributors": [ { "true_name": "王让会", "email": "rhwang@nuist.edu.cn", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "周钧", "email": "2754137507@qq.com", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "ds_managers": [ { "true_name": "王让会", "email": "rhwang@nuist.edu.cn", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "category": "其他" }