Fixed parameters often fail to describe the material cycling process in hydro-environmental modeling. Traditional spatiotemporal dynamic parameters also suffer from low optimization efficiency and model bloat. This paper proposes to establish parametric comprehensive zoning by analyzing the characterization of multidimensional spatiotemporal heterogeneity in the study area. Through the connection equation, the parameter time series are connected with the spatial zones, realizing that spatiotemporal dynamics optimize the parameters by adjusting the time series, which greatly improves the efficiency of model parameter optimization. Taking the Erhai Lake as an example, the multidimensional spatiotemporal heterogeneity analysis shows that the flow field in the southern part of the Erhai Lake is more disordered, with clockwise and counterclockwise circulation co-existing, while the rest of the area is capable of forming a stable flow field. Erhai Lake aquatic plants are mainly distributed in the shoreline bay area, with less distribution in the middle relatively straight shore. The Erhai Lake hydro-environmental model established under the multidimensional heterogeneity characterization performed better in the multi-site and multi-variable accuracy assessment, with average R2 and NSE reaching 0.88 and 0.84. This shows that this method can significantly improve the model simulation accuracy, which can be used as an important reference for hydro-environmental modeling.