Assessing the Effect of Streamflow Estimation at Potential Station Locations In Entropy-Based Hydrometric Network Design

Having an efficient hydrometric network is important not only for successful water resources management but also for dealing with the economic cost of maintaining the network. One of the challenging tasks is to have a reliable dataset at candidate locations of additional monitoring stations. While many have applied regionalization methods, such as spatial interpolation, this study introduced a spatially distributed hydrologic model for generating data at potential locations. The determined optimal networks are compared with those from the use of spatial interpolation. The optimal networks are also evaluated using the outcome of transinformation analysis. The results showed that the optimal results using a spatially distributed model performed better than those using a spatial interpolation method.