| The variation rule and interrelationship of farmland soil moisture content and ground temperature in arid areas |
|
View Fulltext View/Add Comment Download reader |
| |
| DOI：10.7606/j.issn.1000-7601.2013.02.24 |
| Key Words: soil moisture content soil temperature interrelationship arid area |
| Author Name | Affiliation | | ZHANG Jianbing | Institute of Soil Science, Chinese Academy of sciences, Nanjing, Jiangsu 210008, China | | XIONG Heigang | Urban Department of College of Art and Science of Beijing Union University ,Beijing 100083, China
Key Laboratory of Oasis Ecology of Ministry of Education, Urumqi, Xinjiang 830046, China | | LI Baofu | Xinjiang Institute of Ecology and Geography, Chinese Academy of Science, Urumqi, Xinjiang 830011, China | | LONG Tao | Land Resource and Housing Management Bureau of Yongchuan District, Chongqing 402160, China |
|
| Hits: 400 |
| Download times: 255 |
| Abstract: |
| Based on the data of irrigated farmland soil moisture content and ground temperature, this paper studied their variation rules and coupling relationships. The results showed that soil moisture content of each layer correlated significantly because the soil water infiltrated from top to bottom layer by layer when irrigation, and reversed when evaporation. The correlation of each layer ground temperature was obvious. Except for land surface temperature, ground temperature of soil layers had significant correlations especially the adjacent soil layers. The vertical variation characters of soil moisture content and ground temperature were distinct and dynamic. When it comes to high soil moisture content, their vertical variation coefficient was small; however variability became bigger when soil moisture content decreased. Both of the land surface ground temperature and soil moisture of 0～20 cm soil layer had middle variation, which is the highest variation of ground temperature and soil moisture content. Soil moisture content and ground temperature had obviously negative correlation. Land surface temperature was a good factor to forecast soil moisture content of the top and bottom soil layer. The linear regression equation of soil moisture content and ground temperature could be helpful for soil moisture content forecasting. |
|
|
|