Simulating the freezing-thawing processes based on MODIS data in the Three-River Souce Region, China
-
Published:2022-09-12
Issue:
Volume:10
Page:
-
ISSN:2296-665X
-
Container-title:Frontiers in Environmental Science
-
language:
-
Short-container-title:Front. Environ. Sci.
Author:
Ju Qin,Zhang Rongrong,Wang Guoqing,Hao Wenlong,Wang Qin,Liu Yanli,Wang Wei
Abstract
The processes of soil freezing-thawing lead to soil water and heat movement in cold regions, which significantly influences the hydrological and energy cycles in the soil-plant-atmosphere system. This study presents a soil water content coupled with heat transfer model based on physical processes of water and heat movement in frozen soil. The model was calibrated and validated using the measured data of soil temperature and frost and thaw depth at 19 stations in and around the Three-River Source Region of China. The results show that the frozen soil model could capture the processes of soil freezing-thawing processes well at this region. The relationship between model parameters and climate and vegetation factors was analyzed using the observation data and remote sensing data obtained from MODIS, and results showed that the parameter c which represents the soil properties has a good correlation with longitude and vegetation coverage. A multi-regression model was established to estimate the model parameters in regions without observation data and its determination coefficient R2 was 0.82. The mean relative error between calibration and inversion parameters of 19 stations is 6.29%. Thus, the proposed method can be applied to cold regions without observation data to obtain the parameters and simulated the soil freezing-thawing processes.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Publisher
Frontiers Media SA
Subject
General Environmental Science
Reference64 articles.
1. Numerical simulation analysis of heat and mass transfer under a cannel in freezing;An;J. Glaciol. Geocryol.,1987
2. Potentials and limits of vegetation indices for LAI and APAR assessment;Baret;Remote Sens. Environ.,1991
3. On the relation between NDVI, fractional vegetation cover, and leaf area index;Carlson;Remote Sens. Environ.,1997
4. Simulation of spatial variability in snow and frozen soil;Cherkauer;J. Geophys. Res.,2003
5. Physics of plant environment;De Vries,1963
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献