Comparison of Moving Average-Based, S Growth-Based, and AUF Rainfall-Induced Soil Erosion Area Models
Authors
Lin Chen, Nannan Ma, Yulong Chen
Corresponding Author
Lin Chen
Available Online November 2015.
- DOI
- 10.2991/icache-15.2015.79How to use a DOI?
- Keywords
- Erosion experiment;S growth model; adaptive updating model; prediction model
- Abstract
This paper gives the comparison of the moving average, S growth and adaptive updating forecasting(AUF) models based on the rainfall-induced soil erosion area experiment. The results show that (1) the average relative error of the moving average method is 5.7%–12.1%, while S growth model has an error of 3%–9.7%and average relative error of adaptive updating model is between 3.4%-9.6%. (2) the moving average method is easy to be constructed; the S growth model owns good physical meaning; (3) the AUF model is very reliable since it combines two models.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lin Chen AU - Nannan Ma AU - Yulong Chen PY - 2015/11 DA - 2015/11 TI - Comparison of Moving Average-Based, S Growth-Based, and AUF Rainfall-Induced Soil Erosion Area Models BT - Proceedings of the 2015 International Conference on Architectural, Civil and Hydraulics Engineering PB - Atlantis Press SP - 409 EP - 412 SN - 2352-5401 UR - https://doi.org/10.2991/icache-15.2015.79 DO - 10.2991/icache-15.2015.79 ID - Chen2015/11 ER -