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现在有多种沉积量的预测方法已在或正在实际中被应用.总的来说,这些方法可分为两类:从统计分析引出的一类,其中也包括用经验参数得出的确定数字模型;另一类是由某些物理过程与时间的相互作用引出的.统计方程式第一类数学模型是由统计分析引出的,这些方程通常是描述沉积量与一个或多个流域因子及气候因子的关系.由于方法本身的要求,得出这些数学方程需要有关流域参数和沉积物排出量的大量资料,因而收集足够的资料需耗费大量时间和资金.
There are a number of methods for predicting depositions that have been or are in the pipeline. In general, these methods fall into two categories: one derived from statistical analysis, including certain numbers derived from empirical parameters Model and the other is derived from the interaction of some physical processes with time.Statistical equations The first type of mathematical model is derived from statistical analysis and these equations usually describe the sedimentation volume and one or more watershed factors and climatic factors Due to the requirements of the method itself, it is concluded that these mathematical equations require a large amount of data on basin parameters and sediment discharges, so collecting sufficient data requires considerable time and money.