Simulation of spatial and temporal distribution on dissolved non-point source nitrogen and phosphorus load in Jialing River Watershed, China

Artificial neural network modelling of c

Artificial neural network modelling of concentrations of nitrogen, phosphorus and dissolved oxygen in a non-point source polluted river in Zhejiang Province, southeast China

✍ Dingjiang Chen; Jun Lu; Yena Shen 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 607 KB

## Abstract A back‐propagation algorithm neural network (BPNN) was developed to synchronously simulate concentrations of total nitrogen (TN), total phosphorus (TP) and dissolved oxygen (DO) in response to agricultural non‐point source pollution (AGNPS) for any month and location in the Changle Rive