Water Transparency Prediction of Plain Urban River Network: A Case Study of Yangtze River Delta in China

Abstract

Water transparency is commonly used to indicate the combined effect of hydrodynamics and the aquatic environment on water quality throughout a river network. However, how water transparency responds to these indicators still needs to be explored, especially their complicated nonlinear relationship; thus, this study represents an analysis of the Suzhou civil river network. Using an artificial neural network (ANN) hydrological model and a multiple linear model (MLR) with in-situ data between 2013–2019, we investigated the Suzhou River’s sensitivity to the six factors and water transparency, which including flow velocity and data from five categories of water-quality monitoring data: total suspended matter (TSS), water temperature (TE), dissolved oxygen (DO), chlorophyll (Chl) and chemical oxygen demand (COD). The results suggest that the ANN model can achieve better performance than the MLR model. Furthermore, results also show a well-established correlation between enhanced hydrodynamics and improved water transparency when the flow velocity ranged from 0.22 to 0.45 m/s. Overall, COD is a vital factor for the SD prediction because including the COD can see a notable improvement in the ANN model (with a correlation coefficient of 0.918). This study demonstrates that the ANN model with hydrodynamic and water quality parameters can achieve a better prediction of water transparency than other discussed models for a coastal plain urban river network.

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

“…It is also highly commercially developed, with a large proportion of impervious surfaces. In such areas, it is essential to preserve river network water resources and manage environmental water quality [ 19 , 20 ]. Due to the difficulty of simulating all moisture, hydrodynamic, and water quality factors in a single model, it is necessary to link many models within an integrated framework.…”

Study and Application of Urban Aquatic Ecosystem Health Evaluation Index System in River Network Plain Area

“…Water pollution and aquatic ecosystem degradation is more serious [ 9 ]. In the past few decades, with the fast development of urbanization, aquatic ecosystems in China have gone through stages of pollution and restoration [ 10 ]. With strong processes of pollution control and river regulation, the water quality of urban rivers has greatly improved, but aquatic ecosystem health is still not very good, and requires more restoration.…”