Methodology/Process

In this exercise, rainfall, temperature, and evaporation data remain consistent across all scenarios. The key difference lies in the groundwater (GW) data, which is modified for post-development conditions. The process involves the following steps:

1. Initial Model Runs The pre-configured model is first run for post-development conditions using observed GW data.
2. Simulated GW Model Runs The model is then re-run using simulated GW data, generated specifically for post-development conditions. Note that GW data serves as a critical input for the wetland model. The GW simulation tool operates as an independent module, which is used to generate GW data for post-development conditions. These simulated values are subsequently used as inputs for the wetland model.
3. Time Period Selection The training dataset includes precipitation, evaporation, flow for existing conditions, and observed GW levels from 1991 to 2007. This trained period is then used to predict GW levels for post-development conditions by applying the same precipitation and evaporation data while substituting post-development flow data in place of existing condition flow.