This study compares four data-driven methods, Gaussian process regression (GPR), multivariate adaptive regression spline (MARS), M5 model tree (M5Tree), and multilinear …
This study aimed to map the 2022 flood with a 16.5-year return period near a bridge on the Red River, close to Grafton City, North Dakota, and evaluate the scour potential around the …
Shallow groundwater is a key variable of the hydrological cycle and has significant impacts on the components of energy, carbon, and water balances. Moreover, shallow saline …
The primary objective of this study is to examine the suitability of employing a machine learning models (MLMs) comprising Support Vector Machine (SVM), Gene Expression …
In cold regions, ice cover often appears on the water surface of rivers, posing significant challenges for hydraulic engineering and infrastructure safety, particularly around bridge …
Water resources engineering stands at the forefront of sustainable water management, facing challenges that necessitate innovative solutions. This thesis explores the integration …