王志强, 朝伦巴根, 柴建华. 浑善达克沙地人工植被覆盖下土壤蒸发的模拟研究[J]. 中国生态农业学报(中英文), 2007, 15(6): 44-47.
引用本文: 王志强, 朝伦巴根, 柴建华. 浑善达克沙地人工植被覆盖下土壤蒸发的模拟研究[J]. 中国生态农业学报(中英文), 2007, 15(6): 44-47.
WANG Zhi-Qiang, Chaolunbagen, CHAI JianHua. Soil evaporation in artificially revegetated sandy areas of Hunshandake[J]. Chinese Journal of Eco-Agriculture, 2007, 15(6): 44-47.
Citation: WANG Zhi-Qiang, Chaolunbagen, CHAI JianHua. Soil evaporation in artificially revegetated sandy areas of Hunshandake[J]. Chinese Journal of Eco-Agriculture, 2007, 15(6): 44-47.

浑善达克沙地人工植被覆盖下土壤蒸发的模拟研究

Soil evaporation in artificially revegetated sandy areas of Hunshandake

  • 摘要: 应用自制的微型蒸渗仪(Micro-Lysimeter)测定了2005年浑善达克沙地人工牧草区的日棵间土壤蒸发量。对影响土壤蒸发的主要因子进行了回归分析,并比较了以6因子日平均气温(T)、净辐射(Rn)、相对湿度(RH)、2m处风速(U2)、0~30cm土壤含水率(θ)及叶面积指数(LAI)]和4因子日平均气温(T)、净辐射(Rn)、0~30cm土壤含水率(θ)及叶面积指数(LAI)]为输入样本,以日棵间土壤蒸发量为输出样本的BP网络模拟预报模型。研究表明,BP网络可以用于日棵间土壤蒸发量的预报,6因子法和4因子法均简便可行,能满足生产的需要。相比之下,6因子法的精度更高。此研究是对传统棵间土壤蒸发量计算的补充。

     

    Abstract: A Micro-Lysimeter based experiment was conducted to determine daily soil evaporation (Es) in the artificial grassland of Hunshandake sandy terrain in crop growing season of 2005, followed by the identification and analysis of the main factors affecting Es. Es BP network forecast models are compared between using six input vector factors (daily mean temperature, net radiation, relative humidity, wind speed at 2m height, soil moisture in 0~30cm soil depth and LAI) and four input vector factors (daily mean temperature, net radiation, soil moisture in 0~30cm soil depth, and LAI). The research results indicate that BP network model is suitable for Es forecasting, and the six and four input vector factors of BP network models are both convenient and feasible in Es forecasting at production levels. The six input vector factor network model is more accurate than the four input vector factor network model. The research provides supplement to traditional Es calculation methods.

     

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