| Variation characteristic and prediction of soil humidity in eastern Hexi Corridor |
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| DOI：10.7606/j.issn.1000-7601.2005.04.12 |
| Key Words: soil humidity distribution characteristic optimization subclass BP artificial neural network prediction model |
| Author Name | Affiliation | | QIAN Li | Lanzhou Institute of Arid Meteorology,China Meteorological Administration,Lanzhou 730020,China；Wuwei Municipal Meteorological Bureau,Wuwei,Gansu 733000,China；Key Laboratory of Arid Climate and Disaster Reduction of Gansu Province,Lanzhou 730000,China | | ZHANG Hui-ling | Wuwei Municipal Meteorological Bureau,Wuwei,Gansu 733000,China | | LIU Ming-chun | Wuwei Municipal Meteorological Bureau,Wuwei,Gansu 733000,China | | YANG Xiao-ling | Wuwei Municipal Meteorological Bureau,Wuwei,Gansu 733000,China |
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| Abstract: |
| The regional distribution, temporal evolvement and uprightness variation of soil humidity in plow layer during farming period in eastern Hexi Corridor is analyzed with statistical method. It is shown that there are three zones of soil humidity, and there is a remarkable seasonal change for the spatio-temporal distribution of soil humidity. The diminution of soil humidity is clearly related to the change of meteorological conditions such as air temperature, precipitation, sunlight and ground temperature. A prediction model of soil humidity in spring is established by using the method of optimization subclass neural network. This model may provide decision-making gist to combat drought calamities and improve the utilization of water resource. |
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