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中国农学通报 ›› 2012, Vol. 28 ›› Issue (17): 262-266.doi: 10.11924/j.issn.1000-6850.2011-3955

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

黑龙江省双鸭山地区土壤相对湿度气象模型研究

王芳 高永刚 白鸣祺 南瑞   

  • 收稿日期:2011-12-28 修回日期:2012-02-09 出版日期:2012-06-15 发布日期:2012-06-15
  • 基金资助:

    黑龙江省气象局科研基金资助

Meteorological Model Study of Soil Relative Humidity in Shuangyashan Region of Heilongjiang Province

  • Received:2011-12-28 Revised:2012-02-09 Online:2012-06-15 Published:2012-06-15

摘要:

为了定量描述气象因子的协同作用对土壤相对湿度的影响,并对农业旱涝进行定量评估,利用黑龙江省三江平原双鸭山地区1994—2007年各旬气温、降水量、蒸发量、日照时数、土壤相对湿度(10~30 cm)观测资料,基于灰色关联度分析及检验,采用数理统计分析方法(CAR),建立了土壤相对湿度气象因子模型。结果表明:(1)土壤相对湿度与多项气象因子有较好的相关关系,与各气象因子的关联度大小依次为:旬降水量、旬日照时数、旬蒸发量和旬平均气温,降水量与蒸发量在土壤相对湿度变化中占有重要地位,平均气温与日照时数通过蒸发量起作用。(2)模型模拟效果较好,参数物理意义明确,可合理地解释气象因子对土壤相对湿度的影响,也能综合定量地描述气象因子的协同作用对土壤相对湿度的影响程度。10~30 cm各层土壤相对湿度模拟平均误差为7.2%;20 cm、30 cm和10~30 cm土层模拟效果要优于10 cm土层;夏季和秋季模拟效果优于春季,但春季5月份作物播种期模拟效果很好,模拟误差为4.4%。模型可为土壤旱涝定量评估及黑龙江省农业防灾减灾工作提供一定参考。

关键词: 生态文明建设, 生态文明建设

Abstract:

In order to qualitatively describe the soil relative humidity to be influenced by the cooperation with meteorological factors, and the agricultural drought and waterlog could be qualitatively evaluated, with 10 days average temperature, precipitation, evaporation and soil relative humidity (10-30 cm) data from 1994 to 2007 in Shuangyashan Region of Sanjiang Plain of Heilongjiang Province, based on grey correlation analysis, test and mathematical statistics method (CAR), the meteorological factors models of soil relative humidity were built. The results were shown: (1) the better correlativity was present between soil relative humidity and meteorological factors, the correlative prominent factors order was 10 days precipitation, ten days sun-shine, 10 days evaporation and ten days average air temperature, the important leading roles were precipitation and evaporation for soil relative humidity change, average air temperature and sun-shine impact on soil relative humidity by evaporation. (2) The model simulated effects were better, the physical significance of the model parameters was explicit, the impact were explained reasonably for soil relative humidity to be influenced by meteorological factor, at the same time, the impact degree under the cooperation with meteorological factors were described comprehensively and quantitatively for soil relative humidity. The simulated average error of soil relative humidity was 7.2% for 10-30 cm multilayer soil, the simulated effects were superior to 10 cm soil layer for 20 cm, 30 cm, and 10-30 cm average soil layer. The simulated effects of summer and autumn were superior to spring, but the one was good in May for crop sowing phase, the simulated error was 4.4%. The model could provide the reference for soil evaluation of drought and waterlog, agricultural disaster prevention and reduction in Heilongjiang Province.