Author(s): LI Mingchang1, 3, ZHANG Guangyu1, 3, SI Qi1, LIANG Shuxiu2, SUN Zhaochen2, YOU Xueyi3
Pages: 150-158
Year: 2012 Issue:  S1
Journal: Journal of Basic Science and Engineering
Keyword:  marine water quality model; integrated element; pollution source concentration; optimal inversion; data-driven model;
Abstract: Source inversion of marine water quality model is one of major difficulties for model calibration.A marine water quality model was established with integrated elements,which was divided by the geographical position and spatial distribution of pollution sources and gauge stations.In this paper,a pollution source concentration optimal inversion method was developed by combination of the marine integrated element water quality model and data-driven model based on artificial neural network.Response sets of internal gauge stations were built up by numerical simulation results of multiple pollution sources design cases.The nonlinear relationship of concentration between gauge stations and pollution sources was obtained by data driven model based on artificial neuron network,and filed data was imported into the relationship for inversing pollution sources and the matching relationship in them dynamically.A case study in the Bohai Bay with seven pollution sources and twin experiment was presented for validating the presented method.Verification results show the method is efficient.