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黄土高原1992-2020年1000m分辨率产水服务数据集

魏敏 郭蓉 张城 李柏延 李晶 敏玉芳 冯克庭

中国科学数据(中英文网络版)2025,Vol.10Issue(4):54-67,14.
中国科学数据(中英文网络版)2025,Vol.10Issue(4):54-67,14.DOI:10.11922/11-6035.csd.2025.0077.zh

黄土高原1992-2020年1000m分辨率产水服务数据集

A dataset of 1,000 m resolution water production services on the Loess Plateau(1992-2020)

魏敏 1郭蓉 1张城 2李柏延 1李晶 1敏玉芳 3冯克庭4

作者信息

  • 1. 陕西师范大学,西安 710119
  • 2. 陕西师范大学,西安 710119||陕西测绘地理信息局,西安 710054
  • 3. 国家冰川冻土沙漠科学数据中心,兰州 730000
  • 4. 中国科学院地球环境研究所,西安 710061
  • 折叠

摘要

Abstract

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 km2.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.

关键词

黄土高原/生态系统服务/产水服务/VIC模型

Key words

Loess Plateau/ecosystem services/water production services/VIC model

引用本文复制引用

魏敏,郭蓉,张城,李柏延,李晶,敏玉芳,冯克庭..黄土高原1992-2020年1000m分辨率产水服务数据集[J].中国科学数据(中英文网络版),2025,10(4):54-67,14.

基金项目

国家冰川冻土沙漠科学数据中心开放基金项目(2024NCDC009) (2024NCDC009)

陕西省青年科技新星项目(人才)(2024ZC-KJXX-013) (人才)

秦创原引用高层次创新创业人才项目(QCYRCXM-2023-066) (QCYRCXM-2023-066)

中国博士后科学基金第5批特别资助(站前)(2023TQ0207) (站前)

中央高校基本科研业务费专项资金(1110011297、1112010355).National Glacial Tundra Desert Science Data Center Open Fund Project(2024NCDC009) (1110011297、1112010355)

Shaanxi Provincial Young Science and Technology Star Project(Talent)(2024ZC-KJXX-013) (Talent)

Qin Chuangyuan High-Level Innovation and Entrepreneurship Talent Project(QCYRCXM-2023-066) (QCYRCXM-2023-066)

The 5th Special Grant of the China Postdoctoral Science Foundation(Pre-station)(2023TQ0207) (Pre-station)

Special Funds for Basic Scientific Research of Central Universities(1110011297,1112010355). (1110011297,1112010355)

中国科学数据(中英文网络版)

2096-2223

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