摘要
作为国家生态安全战略格局的重要组成部分,国家生态屏障区的产水服务从生态水文和水资源角度,将我国生态系统的完整性与社会的可持续发展紧密联系起来,其空间化和量化对我国水资源管理及优化配置具有重要意义。针对产水数据集的生产,本文基于水量平衡原理进行了遥感数据驱动的屏障区产水服务的建模研究。生产国家生态屏障区产水数据集的基础数据为气象(中国地面气候资料日值数据集(V3.0)、土地利用、NDVI等数据,采用InVEST模型的产水模块,以栅格为单元,实现对国家生态屏障区2000-2015年的产水服务的估算。数据的空间分辨率为1km,时间频率为16年(2000-2015),投影坐标系为WGS1984Albers,单位是mm,数据格式是ArcGIS TIFF,压缩后的数据量为169 MB。
The relationship between water and ecosystem is an important scientific issue that is widely concerned by the society.As a significant part of the national ecological security strategic pattern,water yield service in the National Ecological Barrier Zone closely links the integrity of China’s ecological system with the sustainable development of the society from the perspective of hydrology and water resources.Meanwhile,its specialization and quantification are of great significance to the management and optimal allocation of Chinese water resources.Aiming at the production of water yield dataset,based on the principle of water balance,the modeling of barrier area water yield service that is driven by remote sensing data is carried out.The basic data of water yield dataset of the National Ecological Barrier Zone includes meteorology(Daily dataset of China surface climate data(V3.0)),land use,NDVI and other data.The water yield module of InVEST model is adopted.At the same time,the grid is applied as the unit to realize the estimation of water yield service of national ecological barrier area from 2000 to 2015.The spatial resolution of the data is 1 km,and the time period is 2000-2015.The projection coordinate system is WGS1984Albers,and the unit is mm.The data is archived in.tif format with a data size is 169 MB.
作者
尹礼唱
王晓峰
王怡
Yin,L.C.;Wang,X.F.;Wang,Y.(Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100101,China;The College of Land Engineering,Chang’an University,Xi’an 710064,China;The Key Laboratory of Shaanxi Land Consolidation Project,Chang’an University,Xi’an 710064,China;School of Earth Science and Resources,Chang’an University,Xi’an 710054,China)
出处
《全球变化数据学报(中英文)》
CSCD
2020年第4期332-337,332-337,共12页
Journal of Global Change Data & Discovery
基金
中华人民共和国科学技术部(2019QZKK0405)
中国科学院(XDA2002040201)