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 NameAffiliation
QIAN Li Lanzhou Institute of Arid MeteorologyChina Meteorological AdministrationLanzhou 730020ChinaWuwei Municipal Meteorological BureauWuweiGansu 733000ChinaKey Laboratory of Arid Climate and Disaster Reduction of Gansu ProvinceLanzhou 730000China 
ZHANG Hui-ling Wuwei Municipal Meteorological BureauWuweiGansu 733000China 
LIU Ming-chun Wuwei Municipal Meteorological BureauWuweiGansu 733000China 
YANG Xiao-ling Wuwei Municipal Meteorological BureauWuweiGansu 733000China 
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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.