Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area
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 ai...
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MDPI AG
2020-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/3/1058 |
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doaj-eadc3f6aee7d453197680a2500d9969f2020-11-25T01:46:20ZengMDPI AGApplied Sciences2076-34172020-02-01103105810.3390/app10031058app10031058Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost AreaKeunbo Park0Yongwon Kim1Kichoel Lee2Dongwook Kim3Division of Polar Climate Sciences, Korea Polar Research Institute, Incheon 21990, KoreaInternational Arctic Research Center (IARC), University of Alaska Fairbanks (UAF), Fairbanks, AK 99775-7340, USADepartment of Civil and Environmental Engineering, Incheon National University, Incheon 22012, KoreaDepartment of Civil and Environmental Engineering, Incheon National University, Incheon 22012, KoreaA 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.https://www.mdpi.com/2076-3417/10/3/1058air temperaturesoil temperaturesoil temperature modellingpermafrost dynamicssoil water content |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Keunbo Park Yongwon Kim Kichoel Lee Dongwook Kim |
| spellingShingle |
Keunbo Park Yongwon Kim Kichoel Lee Dongwook Kim Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area Applied Sciences air temperature soil temperature soil temperature modelling permafrost dynamics soil water content |
| author_facet |
Keunbo Park Yongwon Kim Kichoel Lee Dongwook Kim |
| author_sort |
Keunbo Park |
| title |
Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area |
| title_short |
Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area |
| title_full |
Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area |
| title_fullStr |
Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area |
| title_full_unstemmed |
Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area |
| title_sort |
development of a shallow-depth soil temperature estimation model based on air temperatures and soil water contents in a permafrost area |
| publisher |
MDPI AG |
| series |
Applied Sciences |
| issn |
2076-3417 |
| publishDate |
2020-02-01 |
| description |
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. |
| topic |
air temperature soil temperature soil temperature modelling permafrost dynamics soil water content |
| url |
https://www.mdpi.com/2076-3417/10/3/1058 |
| work_keys_str_mv |
AT keunbopark developmentofashallowdepthsoiltemperatureestimationmodelbasedonairtemperaturesandsoilwatercontentsinapermafrostarea AT yongwonkim developmentofashallowdepthsoiltemperatureestimationmodelbasedonairtemperaturesandsoilwatercontentsinapermafrostarea AT kichoellee developmentofashallowdepthsoiltemperatureestimationmodelbasedonairtemperaturesandsoilwatercontentsinapermafrostarea AT dongwookkim developmentofashallowdepthsoiltemperatureestimationmodelbasedonairtemperaturesandsoilwatercontentsinapermafrostarea |
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