Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area

• Published in: Applied Sciences
• Main Authors: Keunbo Park, Yongwon Kim, Kichoel Lee, Dongwook Kim
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2020
• Subjects: air temperature; soil temperature; soil temperature modelling; permafrost dynamics; soil water content; Technology; T; Engineering (General). Civil engineering (General); TA1-2040; Biology (General); QH301-705.5; Physics; QC1-999; Chemistry; QD1-999; permafrost; Alaska
• Online Access: https://doi.org/10.3390/app10031058; https://doaj.org/article/eadc3f6aee7d453197680a2500d9969f

A model for predicting shallow depth soil temperatures is important and effective to assess the changes in soil conditions related to global climate change and local disturbances. Shallow-depth soil temperature estimation model in cold region in Alaska is developed based on thermal response using air temperature and shallow-depth soil water content during active layer development period of 160 days from May to October. Among the seven soil temperature measurement sites, data from four sites were used for model development, and the remaining three sites were used for model validation. Near the middle of the seven measurement sites, air temperature is monitored at one location. The proposed model implemented concepts of thermal response and cumulative temperature. Temperatures and soil water contents were measured using automated remote sensing technology. Consequently, it was confirmed that the developed model enables fast and accurate assessment of shallow-depth soil temperature during active soil layer development period.