Budyko framework; towards non-steady state conditions

A Mianabadi, K Davary, M Pourreza-Bilondi… - Journal of …, 2020 - Elsevier
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 …

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

QV Ly, XC Nguyen, NC Lê, TD Truong… - Science of The Total …, 2021 - Elsevier
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 …

[HTML][HTML] Comparative study of machine learning methods and GR2M model for monthly runoff prediction

P Ditthakit, S Pinthong, N Salaeh, J Weekaew… - Ain Shams Engineering …, 2023 - Elsevier
Monthly runoff time-series estimation is imperative information for water resources planning
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 …

Constructing cooperative intelligent transport systems for travel time prediction with deep learning approaches

MY Chen, HS Chiang, KJ Yang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

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 …

Comparative analysis of climate change impacts on meteorological, hydrological, and agricultural droughts in the lake Titicaca basin

R Zubieta, J Molina-Carpio, W Laqui, J Sulca, M Ilbay - Water, 2021 - mdpi.com
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 …

Using machine learning methods for supporting GR2M model in runoff estimation in an ungauged basin

P Ditthakit, S Pinthong, N Salaeh, F Binnui… - Scientific Reports, 2021 - nature.com
Estimating monthly runoff variation, especially in ungauged basins, is inevitable for water
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

Q Fang, G Wang, S Zhang, Y Peng, B Xue, Y Cao… - Environmental …, 2022 - Elsevier
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 …