Reconstructing Long-Term Daily Streamflow Data at the Discontinuous Monitoring Station in the Ungauged Transboundary Basin Using Machine Learning
VN Tran, HD Nguyen, H Van Khuong, HB Dao… - Water Resources …, 2025 - Springer
Streamflow data is essential for water resource management, especially in transboundary
river basins where data sharing between countries is often limited. Simulating and …
river basins where data sharing between countries is often limited. Simulating and …
[HTML][HTML] Short-term drought forecast across two different climates using machine learning models
This paper presents a comparative analysis of machine learning (ML) models for predicting
drought conditions using the Standardized Precipitation Index (SPI) for two distinct stations …
drought conditions using the Standardized Precipitation Index (SPI) for two distinct stations …