摘要
将二维有限元方法和遗传算法结合起来,求解土壤水热耦合方程,获取土壤含水量数据。通过遗传算法来反演水热耦合边界条件,再应用二维有限元方法来正演土壤水热耦合方程,并以遥感数据作为方程的初始条件,实现对土壤水分的时空监测。通过使用内蒙西部研究区的土壤温度和土壤水分数据对此模型进行模拟和检验,结果表明此方法是合理的,应用效果令人满意。
In order to improve inversion accuracy for soil moisture and enhance the research on quantitative soil moisture, a method combining finite element with Genetic Algorithms is proposed. Affected by precipitation, irrigation, wind speed, and so on, there exist complex material and energy exchanges on the interface of atmosphere and soil, which lead to very complex boundary conditions of coupled moisture and heat flow equation. Then, Genetic Algorithms are applied to calculating the boundary conditions of the equation. Surface initial condition of the equation is obtained by remote sensing technique. Finally, the finite element method is applied to solving the equation. Thus, monitoring of soil moisture is fulfilled. The tested results show that the method is feasible and satisfactory by comparing with observed data of soil temperature and soil moisture.
出处
《水土保持通报》
CSCD
北大核心
2007年第5期83-88,共6页
Bulletin of Soil and Water Conservation
基金
国家重点研究973项目(2007CB714407)
广东省自然科学基金项目(05300342)
广东省环境科学与技术公共实验室开放基金项目
关键词
土壤水热耦合
有限元
遗传算法
土壤温度
土壤含水量
coupled moisture and heat flow equation
finite element
Genetic Algorithms
soil temperature
soil moisture
