Various types of numerical models have been developed to evaluate the colonization and succession of riparian vegetation. Two types of models are applied for this purpose: one type analyzes the succession of the vegetation phase in accordance with flooding conditions; the other analyzes the vegetation dynamically. Both types of models are based on evaluations of the influence of physical factors such as the quantity of flow, the water level, the shear-stress and riverbed shape, etc. While the condition of the vegetation is important for simulating the channel morphology, it cannot be suitably evaluated without a dynamic growth model that considers the mortality of the vegetation and the effect of the vegetation on the roughness during floods. In this study we developed a new riparian vegetation model by combining the Dynamic Riparian Vegetation Model (DRIPVEM) with models to simulate river-bed deformation and changes in resistance during flood events.

The modified DRIPVEM was applied to predict the phenomena expected to come with global warming, such as the effects stemming from the increased growth rates of woody plants, flow rates in river channels, and eutrophication of river water. The model was also used to evaluate the maintenance cost of vegetation management. Our results indicated that the cost of vegetation harvesting performed every 5 years was 2.5 times higher than the cost of yearly harvesting. The dynamic model was found to be extremely useful, and requisite for the effective and efficient management of the riparian vegetation.

已经开发了各种类型的数值模型来评估河岸植被的定殖和演替。为此，使用了两种类型的模型：一种类型根据洪水情况分析植被阶段的演替；另一种类型则是根据淹没条件来分析植被的演替。另一种是动态分析植被。两种类型的模型都是基于对流量，水位，剪应力和河床形状等物理因素影响的评估。虽然植被条件对于模拟河道形态非常重要，如果没有考虑植被死亡率和植被对洪水期间粗糙度影响的动态增长模型，就无法进行适当评估。

修改后的DRIPVEM被用于预测全球变暖可能带来的现象，例如木本植物生长速度增加，河道流量增加和河水富营养化所产生的影响。该模型还用于评估植被管理的维护成本。我们的结果表明，每5年进行一次植被采伐的成本是每年采伐成本的2.5倍。动态模型被发现是非常有用的，并且是有效和高效管理河岸植被的必要条件。