Enhancing streamflow prediction in ungauged basins using a nonlinear knowledge‐based framework and deep learning

P Ghaneei, E Foroumandi… - Water Resources …, 2024 - Wiley Online Library
In hydrology, a fundamental task involves enhancing the predictive power of a model in
ungagged basins by transferring information on physical attributes and hydroclimate …

[HTML][HTML] Streamflow Prediction with Time-Lag-Informed Random Forest and Its Performance Compared to SWAT in Diverse Catchments

DM Moges, H Virro, A Kmoch, R Cibin, RAN Rohith… - Water, 2024 - mdpi.com
This study introduces a time-lag-informed Random Forest (RF) framework for streamflow
time-series prediction across diverse catchments and compares its results against SWAT …

[HTML][HTML] Assessing the Impact of Climate Change on an Ungauged Watershed in the Congo River Basin

S Masamba, M Fuamba, E Hassanzadeh - Water, 2024 - mdpi.com
This study assesses the impact of climate change on streamflow characteristics in the
Lualaba River Basin (LRB), an important yet ungauged watershed in the Congo River Basin …

Impact of climate change on the sensitivity and uncertainty of HBV hydrologic model parameters

Q MA, X GUI, L XIONG, W SONG, J LI - Advances in Water Science, 2024 - skxjz.nhri.cn
Elucidating the impact of climate change on watershed hydrological model parameters is a
fundamental scientific issue for analyzing parameter transferability and estimating future …

气候变化对 HBV 水文模型参数敏感性和不确定性的影响

马秋梅, 桂绪, 熊立华, 宋文婕, **继清 - 水科学进展, 2024 - skxjz.nhri.cn
阐明气候变化对流域水文模型参数的影响是分析参数可移植性, 预估未来水量**衡组分的基础
科学问题. 基于CMIP6 框架下3 种数据来源(CNRM, IPSL 和MRI) 的气象信息, 驱动HBV …