Budyko framework; towards non-steady state conditions
The Budyko framework was firstly developed to estimate actual evaporation as a function of
precipitation and the aridity index at steady state conditions. Based on this framework, the …
precipitation and the aridity index at steady state conditions. Based on this framework, the …
Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea
The increasing release of nutrients to aquatic environments has led to great concern
regarding eutrophication and the risk of unwanted algal blooms. Based on observational …
regarding eutrophication and the risk of unwanted algal blooms. Based on observational …
[HTML][HTML] Comparative study of machine learning methods and GR2M model for monthly runoff prediction
Monthly runoff time-series estimation is imperative information for water resources planning
and development projects. This article aims to comparatively investigate the applicability of …
and development projects. This article aims to comparatively investigate the applicability of …
[HTML][HTML] Impacts of climate and environmental changes on water resources: A multi-scale study based on Nakanbé nested watersheds in West African Sahel
YP Gbohoui, JE Paturel, F Tazen, LA Mounirou… - Journal of Hydrology …, 2021 - Elsevier
Abstract Study region Nakanbé River watershed in the West Africa Sahel (WAS). Study focus
This study aims to better understand the hydrological behavior of WAS watersheds, which …
This study aims to better understand the hydrological behavior of WAS watersheds, which …
Constructing cooperative intelligent transport systems for travel time prediction with deep learning approaches
Drivers and traffic system planners require accurate forecasting of future travel times. To
alleviate traffic congestion on Taiwan's Provincial Highway No. 61, this study considers …
alleviate traffic congestion on Taiwan's Provincial Highway No. 61, this study considers …
Enhanced forecasting of chlorophyll-a concentration in coastal waters through integration of Fourier analysis and Transformer networks
X Sun, D Yan, S Wu, Y Chen, J Qi, Z Du - Water Research, 2024 - Elsevier
The accurate prediction of chlorophyll-a (chl-a) concentration in coastal waters is essential
to coastal economies and ecosystems as it serves as the key indicator of harmful algal …
to coastal economies and ecosystems as it serves as the key indicator of harmful algal …
Hydrologic regime alteration and influence factors in the Jialing River of the Yangtze River, China
W Guo, X Jiao, H Zhou, Y Zhu, H Wang - Scientific Reports, 2022 - nature.com
Under the influence of climate alteration and human activities, the hydrological regime of
rivers is changing dramatically, which has become a hot spot for water environment …
rivers is changing dramatically, which has become a hot spot for water environment …
Comparative analysis of climate change impacts on meteorological, hydrological, and agricultural droughts in the lake Titicaca basin
The impact of climate change on droughts in the Lake Titicaca, Desaguadero River, and
Lake Poopo basins (TDPS system) within the Altiplano region was evaluated by comparing …
Lake Poopo basins (TDPS system) within the Altiplano region was evaluated by comparing …
Using machine learning methods for supporting GR2M model in runoff estimation in an ungauged basin
Estimating monthly runoff variation, especially in ungauged basins, is inevitable for water
resource planning and management. The present study aimed to evaluate the …
resource planning and management. The present study aimed to evaluate the …
A novel ecohydrological model by capturing variations in climate change and vegetation coverage in a semi-arid region of China
Variations in vegetation are influenced by regional climate regimes and, in turn, control the
water balance behavior in water-limited regions. Owing to its role in ecohydrological …
water balance behavior in water-limited regions. Owing to its role in ecohydrological …