Soil Water Dynamics and Prediction of Three-North Shelterbelt System Project of Western Heilongjiang Province

CUI Lin; WANG Ligang; ZHANG Yuzhu; BI Guangyou; YU Dongxing; CAO Zhiwei

doi:10.13961/j.cnki.stbctb.2017.04.007

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Soil Water Dynamics and Prediction of Three-North Shelterbelt System Project of Western Heilongjiang Province

- Soil Water Dynamics and Prediction of Three-North Shelterbelt System Project of Western Heilongjiang Province
- Bulletin of Soiland Water Conservation Vol. 37, Issue 4, Pages: 40-46(2017)
- 作者机构：
  
  黑龙江省森林与环境科学研究院,黑龙江,齐齐哈尔,161005
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2017.04.007
  CLC：
- Published：2017
- 稿件说明：
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CUI Lin, WANG Ligang, ZHANG Yuzhu, et al. Soil Water Dynamics and Prediction of Three-North Shelterbelt System Project of Western Heilongjiang Province[J]. Bulletin of Soiland Water Conservation, 2017, 37(4): 40-46.
DOI：

CUI Lin, WANG Ligang, ZHANG Yuzhu, et al. Soil Water Dynamics and Prediction of Three-North Shelterbelt System Project of Western Heilongjiang Province[J]. Bulletin of Soiland Water Conservation, 2017, 37(4): 40-46. DOI： 10.13961/j.cnki.stbctb.2017.04.007.

摘要

[目的

]

研究黑龙江省西部地区“三北”工程区不同类型土壤的水分动态特征及其与气象因子的相关性，为该地区土壤墒情预测提供科学参考。[方法

]

通过建立小型基准气象观测站定点观测土壤水分含量及气象因子，并利用回归分析建立了无降雨条件下土壤水分的预测模型。[结果

]

（1）生长季土壤水分变化均呈现消退期的现象，其中以黑土和黑钙土表现最为显著。3种土壤类型水分含量的变异系数都随土壤深度增大呈递减趋势。（2）相关分析结果表明，土壤水分含量与光照强度和大气温度均表现为负相关，与空气湿度表现为正相关，与降雨量和风速相关系数较小。（3）黑土和黑钙土的土壤水分日消耗量可由光照强度（X

）、湿度（X

）、风速（X

）和大气温度（X

）的变化来解释。[结论

]

土壤水分受气象因子综合调控，根据气象因子建立的模型可以用来预测无降雨条件下土壤水分的变化。

Abstract

[Objective] The dynamics of soil moistures of different soil types and its relation to meteorological factors were studied in the Three-North Shelterbelt System Project of Western Heilongjiang Province

to provide reference for soil moisture prediction.[Methods] Using miniature meteorological station

soil moisture and relevant meteorological factors were monitored in situ. Their relationships were analyzed using multiple regression and correlation analysis methods.[Results] (1) Soil moisture showed a decrease trend in growing season for all the monitored soils

of which Phaeozem

Chernozem behaved more obvious. The variation coefficient of soil moisture for all the 3 soil types decreased with the increase of soil depth. (2) The correlation analysis showed that the soil moisture content was negatively correlated with light intensity and atmospheric temperature

but positively correlated with the air humidity. The correlation coefficients with rainfall and wind speed were comparatively smaller. (3) The multiple regression analysis showed that daily soil moisture consumptions of Phaeozem

Chernozem could be explained by illumination intensity(X1)

humidity(X2)

wind speed(X3) and air temperature(X4).[Conclusion] Soil moisture was regulated comprehensively by meteorological factors. The established multiple regression models could be used to forecast the changes of soil moisture in upland soil.

关键词

Keywords

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