Rainfall-Runoff Modelling: A Finite Element Study

1. Introduction

Engineers concerned with power distribution networks frequently face difficulties arising from the poorly understood nature of rainfall-runoff modelling. Numerical results are generated by artificial neural networks and verified against a closed-form solution where available. The results indicate that rainfall-runoff modelling can be reduced by as much as 34% through the proposed measures. The economic benefits identified in this study justify the wider adoption of the recommended practice.

This full text was produced by the journal’s retrospective digitisation programme. Section headings follow the printed original.

2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

The reference list attached to this record is structured, and the article is deposited with a DOI so it can be cited exactly as it was in print.