Network optimization: A simple approach applying GIS and MLR

The collection of information (data) of a specific kind, in space and/or time is of major importance to the hydrologist. On regional scale, measurements of precipitation at several locations provide information of the input of a river catchment system. The study area with dimensions of 60 * 55.4 km2 , comprises 16 precipitation stations establishing a network. In general one can say that many experiments have been performed on gauged regions and many suggestions have been made relating the desired accuracy with the distance between the stations and the density of the network with the relief (WMO) , the local climatic conditions and the estimation of the study flood for a desired return period. Also it is proved that the increase of the network density is not always the best solution (even though one might not be so interested in the increase of costs). So the real problem is not only quantitative but qualitative as weIl and therefore more complex. This study dealt with the optimization of the existing network applying a mathematical- and a digital technique in combination with operational aspects. Although the influence of the individual approaches is difficult to quantify, conclusions which can be drawn are very satisfying; 2 stations can be abolished, 2 stations need to be re-equipped, for 3 stations the observer needs to be reconsidered. Also possible locations for new stations are distinguished. For composing the optimum network and rainfall-runoff relation ships additional research with more sophisticated digital techniques are requested.Water ManagementCivil Engineering and Geoscience