摘要
通用土壤流失方程(USLE)是水动力土壤侵蚀研究领域应用广泛的经验模型。其结构简单,所需输入数据量少,计算结果可满足一定精度下,土壤侵蚀预测的要求。模型的改进使其应用范围扩大,适用性增强,计算精度提高。通用土壤流失方程的发展趋势:其一,传统方法,不改变模型的结构,通过引进合理的新参数或优化参数的取值来提高模型的预测能力;其二,非传统方法,通过模糊逻辑或人工神经网络方法来改变模型的结构,使土壤侵蚀影响因子的确定更加灵活合理,土壤流失量的计算结果更加精确可信。
Universal Soil Loss Equation (USLE) is an empirical model widely used in the domain of soil erosion by water. Although USLE has a simple structure, the result of the model can reach the requirement for soil erosion prediction under certain precision with less input data. The improvement of USLE includes the expansion of application scope, the enhancement of suitability, and the improvement of estimate precision. There are two developing trends of USLE, one is traditional way, which enhances the prediction ability of USLE through introducing new applicable parameters or optimizing parameter values without modifying model structure. The other is nontraditional way, which makes more flexible and reasonable confirmation of factors as well as more valuable and ascertainable result of soil loss quantities by using fuzzy logic or artificial neural networks to modify USLE structure.
出处
《地球信息科学》
CSCD
2004年第4期51-55,共5页
Geo-information Science
