The wise selection of modeling approaches with an appropriate level of complexity for the study objectives is critical for robust inference. In this paper, the structure of a cost-performance grid designed for flood modeling is presented. The grid is developed to compare different flood modeling approaches of variable complexity and to guide on the proper selection of the couple data-model. The methodology involves defining metrics to quantify the three variables: data costs, model costs, and performance. Preliminarily, eighteen flood modeling applications in literature were arbitrarily selected and analyzed to guide on the implementation of the grid. The cost-performance diagram allows tracing a cost-performance curve and grouping applications in 4 zones corresponding to 4 modeling approaches (empirical and geomorphic, hydrological, hydraulic, and coupling). The grid is a tool to support the comparison, classification, and future selection of cost-effective modeling approaches. It is flexible and can be extrapolated to other modeling objectives.

对于研究目标而言，明智地选择具有适当复杂度的建模方法对于进行可靠的推理至关重要。在本文中，提出了一种用于洪水建模的成本效益网格的结构。开发网格的目的是比较可变复杂性的不同洪水建模方法，并指导正确选择耦合数据模型。该方法涉及定义度量以量化三个变量：数据成本，模型成本和性能。初步地，任意选择和分析了18个文献中的洪水建模应用程序，以指导网格的实施。成本效果图可以跟踪成本效果曲线，并在与4种建模方法（经验和地貌，水文，水力，和耦合）。网格是支持比较，分类和将来选择具有成本效益的建模方法的工具。它很灵活，可以外推到其他建模目标。