Combining Standard Artificial Intelligence Models, Pre-Processing Techniques, and Post-Processing Methods to Improve the Accuracy of Monthly Runoff Predictions in Karst-Area Watersheds

Combining Standard Artificial Intelligence Models, Pre-Processing Techniques, and Post-Processing Methods to Improve the Accuracy of Monthly Runoff Predictions in Karst-Area Watersheds

The complex and unique topography of karst regions highlights the weaknesses of traditional hydrological models which fail to fully generalize them. The successive proposals of standard artificial intelligence (AI) models, pre-processing techniques, and post-processing methods have provided new oppo...

Full description

Bibliographic Details
Main Authors: Chongxun Mo, Changhao Jiang, Xingbi Lei, Shufeng Lai, Yun Deng, Weiyan Cen, Guikai Sun, Zhenxiang Xing
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
standard artificial intelligence model
pre-processing technique
quantile mapping method
monthly runoff prediction
karst watershed
Online Access:https://www.mdpi.com/2076-3417/13/1/88

Internet

https://www.mdpi.com/2076-3417/13/1/88

Similar Items