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标题

基于GLDAS与TVDI降尺度反演土壤含水量

作者

吴盼 冯雨晴 梁四海 吴青柏 万力

机构

中国地质大学(北京)水资源与环境学院; 中国科学院寒区旱区环境与工程研究所

摘要

土壤水是连接大气降水、地表水和地下水的关键水文带, 在旱寒区对于维系植被生长起到至关重要的作用. 为获取相对精度较高, 时空分布更广的土壤含水量数据, 本文采用青藏高原2006年 MODIS(moderate resolution imaging spectroradiometer )植被归一化指数NDVI (normalized difference vegetation index )数据与地温数据LST (land surface temperatre )计算出青藏高原全年温度植被干旱指数TVDI (temperature ver getation dryness index);分析TVDI数据与GLDAS各层土壤含水量的相关性以及相关性的稳定性, 结果表明: 总体上TVDI数据与GLDAS各层土壤含水 量数据呈负相关关系, 其中TVDI与GLDAS 第1层土壤湿度数据相关性最好, 且相关性的稳定性较强; 利用TVDI和GLDAS第1层数据的相关关系反演出青藏高原2006年每月土壤水分分布图, 并利用月均值进行实例分析, 结果表明反演结果与GLDAS据基本吻合, 仅在青藏高原南部和北部两个区域存在偏差. 与原始GLDAS数据相比, TVDI反演的土壤含水量数据具有更高的分辨率(分辨率为1km), 在时间尺度上, 可以反演逐月的土壤水分.

关键词

青藏高原; 土壤水分; GLDAS ; TVDI

引用

吴盼 冯雨晴 梁四海 吴青柏 万力.与TVDI降尺度反演土壤含水量.[J]. 北京师范大学学报(自然科学版),2016,52(3):265-270.

基金

国家自然科学基金资助项目(41330634, 91125011, 41072191); 中央高校基本科研业务专项资金资助项目

分类号

P931

DOI

10.16360/j.cnki.jbnuns.2016.03.003

Title

Estimating soil moisture based on TVDI and GLDAS using downscaling method

Author

WU Pan, FENG Yuqing, LIANG Sihai, WU Qingbai, WAN Li

Affiliations

School of Water Resource and Environment, China University of Geosciences (Beijing); Cold and Arid Regions Environmental and Engineering Research Institute , Chinese Academy of Sciences

Abstract

Soil water is a critical connection among precipitation , surface and ground waters , and it is important in sustaining vegetation growth in cold and arid regions. To obtain soil moisture data with high precision and spatio temporal distribution, MODIS (moderate resolution imaging spectroradiometer ), NDVI (normalized difference vegetation index) and ground temperature LST (land surface temperature) are used to fit wet and dry edges. These are used to estimate TVDI in Tibet in 2006 by ArcGIS . Analysis of TVDI and GLDAS soil moisture data indicated a negative correlation between TVDI and GLDAS per layer soil moisture. TVDI showed best correlation with the first layer soil moisture of GLDAS and correlation is the most stable, with Cvat 0.075 , or higher. Correlation between TVDI and the first layer soil moisture of GLDAS was used to retrieve monthly soil moisture distribution in the Tibet Plateau in 2006. Mean soil moisture distribution in 2006 was analyzed . Distribution of the retrieved figure was found to be in good agreement with the original G-LDAS data, only two deviation regions were found in Tibet Plateau. Compared with original data, retrieved soil moisture gives higher resolution, and can be used to retrieve monthly soil moisture .

Key words

Qinghai-Tibet Plateau; soil moisture; GLDAS; TVDI

cite

WU Pan, FENG Yuqing, LIANG Sihai, WU Qingbai, WAN Li. Estimating soil moisture based on TVDI and GLDAS using downscaling method [J]. Journal of Beijing Normal University (Natural Science), 2016,52(3):265-270.

DOI

10.16360/j.cnki.jbnuns.2016.03.003

Copyright © 2014 Journal of Beijing Normal University (Natural Science)
Designed by Mr. Sun Chumin. Email: cmsun@mail.bnu.edu.cn