Intelligent geospatial system for suspended sediment estimation in Iranian rivers

In hydrological systems (watersheds), which is complex and at the same time, our understanding of the components and processes within it is always uncertain, the use of soft computing methods is an appropriate tool for modeling and estimating environmental variables such as suspended sediment load (SSL) of rivers. The Intelligent geospatial system of the SSL simulator is specialized software for storing, simulating, and managing the SSL data of rivers in the country. This software is completely designed and coded using GIS open source libraries in the .NET Framework, Visual C# programming language environment in a fully targeted way, and all the steps necessary for a successful modeling of the MLP artificial neural network (the multilayer perceptron) such as loading time series, clustering, statistical analysis of data, simulation and error evaluation are included. The SSL simulation of this system can be performed on a single-variable basis (simply based on flow discharge) or multivariable (flow discharge, temperature, precipitation, etc.) in a daily scale. The system, which has been written for nearly 7,000 lines of code so far, can serve as a national infrastructure for simulating and managing the SSL of all the country's hydrometric stations used by relevant organizations.