摘要
本数据集基于VIC(Variable Infiltration Capacity)水文模型,融合多源遥感地表参数、气象再分析数据和土壤数据,构建了1992–2020年黄土高原1000 m分辨率产水服务时空连续数据集。研究区覆盖黄土高原五大流域(33°39′0″–42°0′0″N,98°31′12″–113°38′24″E),总面积约623000 km^(2)。数据集通过栅格化供需比算法,量化了退耕还林工程实施前后产水服务的时空格局及供需失衡热点区域。数据处理采用ArcGIS空间分析和Fortran编程,采用兰州站、头道拐站和华县站三个代表性水文站点进行多站点模型验证,三站点Nash效率系数(Ens)均超过0.74,其中华县站率定期(1992–2006年)Nash效率系数(Ens)达0.744,验证期(2007–2020年)提升至0.872,相对误差(Er)低于3.4%,模型在黄土高原不同水文气候条件下均表现出良好的模拟精度。数据集包含29个年份的产水服务栅格数据(tif格式和nc格式),数据量9.06 MB,具有长时序连续性、空间明晰性和过程可溯性。数据集可用于生态工程水文效应评估、植被恢复与水资源承载力分析、气候变化情景下产水服务脆弱性预测,以及国土空间生态修复规划优化,为黄河流域生态治理和全球半干旱区人地系统适应性管理提供高精度数据支持。
Based on the VIC(Variable Infiltration Capacity)hydrological model,this dataset integrates multi-source remote sensing surface parameters,meteorological reanalysis data and soil data to construct a spatiotemporally continuous dataset of 1,000 m resolution water production services on the Loess Plateau from 1992 to 2020.The study area covers the five major river basins of the Loess Plateau(33°39′0"–42°0′0"N,98°31′12"–113°38′24"E),with a total area of about 623,000 km^(2).The dataset quantifies the spatiotemporal patterns of water production services and the hotspots of supply-demand imbalance before and after the implementation of the project through a rasterized supply-demand ratio algorithm.Data processing was performed using ArcGIS spatial analysis and Fortran programming,and model validation was conducted at three representative hydrological stations:Lanzhou,Toudaoguai,and Huaxian.The Nash efficiency coefficient(Ens)of the three stations exceeded 0.74,of which the Nash efficiency coefficient(Ens)of the three stations reached 0.744 in the regular(1992–2006)rate of Huaxian station,and increased to 0.872 during the verification period(2007–2020),and the relative error(Er)was less than 3.4%.The model shows high simulation accuracy under different hydrological and climatic conditions on the Loess Plateau.The dataset contains 29 years of water production service raster data(TIF format and nc format),with a data volume of 9.06 MB,characterized by long-term temporal continuity,spatial clarity and process traceability.The dataset can be used for the assessment of hydrological effects of ecological engineering,the analysis of vegetation restoration and water resource carrying capacity,the prediction of the vulnerability of water production services under climate change scenarios,and the optimization of ecological restoration planning,providing high-precision data support for the ecological governance of the Yellow River Basin and for adaptive management of human-land systems in semi-arid areas worldwide.
作者
魏敏
郭蓉
张城
李柏延
李晶
敏玉芳
冯克庭
WEI Min;GUO Rong;ZHANG Cheng;LI Boyan;LI Jing;MIN Yufang;FENG Keting(Shaanxi Normal University,Xi'an 710119,P.R.China;Shaanxi Bureau of Surveying,Mapping and Geoinformation,Xi'an 710054,P.R.China;National Glacier and Frozen Soil Desert Science Data Center,Lanzhou 730000,P.R.China;Institute of Earth Environment,Chinese Academy of Sciences,Xi'an 710061,P.R.China)
基金
国家冰川冻土沙漠科学数据中心开放基金项目(2024NCDC009)
陕西省青年科技新星项目(人才)(2024ZC-KJXX-013)
秦创原引用高层次创新创业人才项目(QCYRCXM-2023-066)
中国博士后科学基金第5批特别资助(站前)(2023TQ0207)
中央高校基本科研业务费专项资金(1110011297、1112010355)。
关键词
黄土高原
生态系统服务
产水服务
VIC模型
Loess Plateau
ecosystem services
water production services
VIC model
