本研究利用木里矿区气象、水文、土壤、土地利用、DEM等数据源，基于SWAT模型，生成木里矿区2000-2020年1k m、逐日数据产品。通过验证评价发现，产品的R2值大多在0.7以上、NSE系数也优于0.7。该数据集可为青藏高原水文生态系统研究提供基础数据支持。
\n数据集详细内容见说明文档。", "ds_source": "
气象数据（逐日降水、温度、太阳辐射、风速、湿度数据）：CN05.1再分析数据（1997-2018）
\nDEM：地理空间数据云（www.gscloud.cn）
\n土地利用（土地覆盖分类及空间分布）：Arcgis（https://livingatlas.arcgis.com/）
\n土壤类型（1km 土壤物理属性及空间分布）：中国青藏高原数据中心（https://data.tpdc.ac.cn/）
\n水文数据：青海省水文水资源测报中心
", "ds_process_way": "（1）搜集整理气象、水文、土壤、土地利用、DEM等数据集，并依据SWAT建模要求进行数据整编处理；
\n（2）根据DEM数据，通过ArcSWAT的“Watershed Delineation”模块进行填洼、流向计算、河网生成等预处理，划分河网，导入水文站点和流域总出口，共划分62个子流域；
\n（3）基于前期准备的土地利用数据、土壤类型数据、自定义坡度取值范围和生成的子流域，通过设定阈值（土地利用10%、土壤10%、坡度10%），剔除面积占比低于阈值的破碎斑块，得到609个水文响应单元；
\n（4）运行SWAT模型，并结合 SUFI2算法进行参数率定与敏感性分析。
\n（5）形成SWAT结果数据集，并处理成1km、逐日数据集
", "ds_quality": "采用相关性系数（R2）、纳什效率系数（NSE）两个评价标准。以1997-1999年月尺度为预热期，2000-2015年月尺度为参数率定期，2015-2018年月尺度为模型验证期，参数在率定期表现良好：尕大滩站率定结果为R2为0.77，NSE系数为0.76；青石嘴站率定结果为R2为0.75，NSE系数为0.81。数据集精度质量可靠，可作为评价木里矿区水文生态动态变化指标。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "青海省木里矿区", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 88830317210, "ds_files_count": 0, "ds_format": "*.tif", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "c36a886b-96d9-4080-ad9c-7f12c344ab0a.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "仅供科学研究使用", "ds_from_station": "", "organization_id": "5b99d600-008a-4069-8fc3-7adb9c3f2f8b", "ds_serv_man": "陈强", "ds_serv_phone": "13519712111", "ds_serv_mail": "", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-06-10 10:03:33", "last_updated": "2026-06-10 10:03:33", "protected": false, "protected_to": "2027-08-20 00:00:00", "lang": "zh", "cstr": "", "i18n": { "en": { "title": "Daily data set of soil vegetation and water cycle parameters in Muli Kuangqu, Qinghai Province based on SWAT model (2000-2021)", "ds_format": "*.tif", "ds_source": "Meteorological data (daily precipitation, temperature, solar radiation, wind speed, humidity data): CN05.1 reanalysis data (1997-2018)
", "ds_quality": "Adopt two evaluation criteria: correlation coefficient (R2) and Nash efficiency coefficient (NSE). Using the scale of 1997-1999 as the preheating period, the scale of 2000-2015 as the parameter calibration period, and the scale of 2015-2018 as the model validation period, the parameters performed well in the calibration period: the calibration result of Gadatan Station was R2 of 0.77, and the NSE coefficient was 0.76; The calibration result of Qingshizui Station is R2 of 0.75 and NSE coefficient of 0.81. The accuracy and quality of the dataset are reliable, and it can be used as an indicator to evaluate the dynamic changes in hydrological ecology in the Muli mining area.
", "ds_ref_way": "", "ds_abstract": "This study uses meteorological, hydrological, soil, land use, DEM and other data sources in Muli Kuangqu, and based on the SWAT model, generates 1k and daily data products in Muli Kuangqu from 2000 to 2020. Through verification and evaluation, it was found that the R2 values of the products were mostly above 0.7, and the NSE coefficient was also better than 0.7. This dataset can provide basic data support for the research of hydrologic ecosystems on the Qinghai-Tibet Plateau.
\r\nSee the documentation for details of the dataset.", "ds_time_res": "", "ds_acq_place": "Muli Kuangqu, Qinghai Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
(1) Collect and organize meteorological, hydrological, soil, land use, DEM and other datasets, and perform data compilation and processing according to SWAT modeling requirements;
", "ds_ref_instruction": "For scientific research purposes only" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/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, "belong_to_nieer": false, "ds_topic_tags": [ "降水", "蒸散发", "径流", "土壤含水量", "地表温度", "植被指数", "土壤养分", "地下水埋深" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青海省木里矿区" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "陈强", "email": "296945810@qq.com", "work_for": "青海省水文水资源测报中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈强", "email": "296945810@qq.com", "work_for": "青海省水文水资源测报中心", "country": "中国" }, { "true_name": "丁启慧", "email": "42111404@qq.com", "work_for": "青海省水文水资源测报中心", "country": "中国" }, { "true_name": "田庆斌", "email": "", "work_for": "青海省水文水资源测报中心", "country": "中国" }, { "true_name": "张艳玉", "email": "1546626143@qq.com", "work_for": "青海省水文水资源测报中心", "country": "中国" } ], "ds_managers": [ { "true_name": "陈强", "email": "296945810@qq.com", "work_for": "青海省水文水资源测报中心", "country": "中国" } ], "category": "生态" }