Streamflow prediction using machine learning models in selected rivers of Southern India

RK Sharma, S Kumar, D Padmalal… - International Journal of …, 2024 - Taylor & Francis
The need for adequate data on the spatial and temporal variability of freshwater resources is
a significant challenge to the water managers of the world in water resource planning and …

Modelling seasonal flow regime and environmental flow in Punarbhaba river of India and Bangladesh

S Pal, S Talukdar - Journal of Cleaner Production, 2020 - Elsevier
Investigations of changing the flow regime and flow prediction are of vital societal and hydro-
ecological importance in a transboundary river like Punarbhaba river between India and …

Hybrid Elman neural network and an invasive weed optimization method for bridge defect recognition

E Mohammed Abdelkader, O Moselhi… - Transportation …, 2021 - journals.sagepub.com
Existing bridges are aging and deteriorating, raising concerns for public safety and the
preservation of these valuable assets. Furthermore, the transportation networks that manage …

Rainfall-runoff simulation in ungauged tributary streams using drainage area ratio-based multivariate adaptive regression spline and random forest hybrid models

B Vaheddoost, MJS Safari, MU Yilmaz - Pure and Applied Geophysics, 2023 - Springer
For various reasons, it is not always possible to obtain adequate and reliable long-term
streamflow records in a river basin. It is known that streamflow records are even shorter …

Assessing different roles of baseflow and surface runoff for long-term streamflow forecasting in southeastern China

H Chen, YP Xu, RSV Teegavarapu… - Hydrological Sciences …, 2021 - Taylor & Francis
Accurate long-term streamflow forecast is essential to alleviate and solve the water security
problems related to flood and drought disaster warnings. In this study, a new strategy for …

Coupling large-scale climate indices with a stochastic weather generator to improve long-term streamflow forecasts in a Canadian watershed

S Sohrabi, FP Brissette, R Arsenault - Journal of Hydrology, 2021 - Elsevier
This paper aims at improving long-term streamflow forecasts by implementing a novel
technique based on conditioning the parameters of a stochastic weather generator on large …

Changes in climate and land cover affect seasonal streamflow forecasts in the Rio Grande Headwaters

CA Penn, DW Clow, GA Sexstone… - JAWRA Journal of the …, 2020 - Wiley Online Library
Seasonal streamflow forecast bias, changes in climate, snowpack, and land cover, and the
effects of these changes on relations between basin‐wide snowpack, SNOw TELemetry …

[HTML][HTML] Analyzing Climate Dynamics and Developing Machine Learning Models for Flood Prediction in Sacramento, California

D Dahal, BA Magar, A Aryal, B Poudel… - Hydroecology and …, 2024 - sciepublish.com
Climate change is leading to rapid environmental changes, including fluctuating
precipitation and water levels, which raises the risk of flooding in coastal and riverine …

Evaluating the performance of several data preprocessing methods based on GRU in forecasting Monthly Runoff Time Series

W Wang, Y Du, K Chau, CT Cheng, D Xu… - Water Resources …, 2024 - Springer
The optimal planning and management of modern water resources depends highly on
reliable and accurate runoff forecasting. Data preprocessing technology can provide new …

Refining Seasonal Precipitation Forecast in Brazil Using Simple Data-Driven Techniques and Climate Indices

FLR Torres, CAC Kuki, MS Reboita… - Revista Brasileira de …, 2024 - SciELO Brasil
Seasonal precipitation forecasts are essential for water resource management, agricultural
activities, and the operational planning of hydropower systems. Any methodological …