Comparison of different machine learning methods in river streamflow estimation using isovel contours and hydraulic variables
MF Maghrebi, SM Vatanchi - International Journal of River Basin …, 2024 - Taylor & Francis
This study evaluates several machine learning (ML) models for estimating streamflow in the
Osage River, Missouri, USA, and the Severn River, UK, using hydraulic input variables …
Osage River, Missouri, USA, and the Severn River, UK, using hydraulic input variables …
Estimating streamflow by an innovative rating curve model based on hydraulic parameters
SM Vatanchi, MF Maghrebi - Environmental Earth Sciences, 2024 - Springer
Estimating river flow is a critical step for planning and managing water resources. Since
direct streamflow measurement is complex and time-consuming, managers rely on rating …
direct streamflow measurement is complex and time-consuming, managers rely on rating …
Estimation of the daily flow in river basins using the data-driven model and traditional approaches: an application in the Hieu river basin, Vietnam
C Pham Van, H Le - Water Practice & Technology, 2023 - iwaponline.com
This paper presents the long short-term memory (LSTM), rating curve (RC), and rainfall–
runoff model that can be used for estimating the daily flow at the outlet of river basins. The …
runoff model that can be used for estimating the daily flow at the outlet of river basins. The …
Estimation of the daily flow in river basins using the data-driven model and traditional approaches: an application in the Hieu river basin, Vietnam
CP Van, H Le - Water Practice and Technology, 2023 - search.proquest.com
This paper presents the long short-term memory (LSTM), rating curve (RC), and rainfall–
runoff model that can be used for estimating the daily flow at the outlet of river basins. The …
runoff model that can be used for estimating the daily flow at the outlet of river basins. The …
Multiple data-driven approaches for estimating daily streamflow in the Kone River basin, Vietnam
TT Thach - Earth Science Informatics, 2024 - Springer
This paper presents deep learning using LSTM, machine learning employing RF and GB
algorithms, and the rating curve (RC) that can be used for estimating daily streamflow at the …
algorithms, and the rating curve (RC) that can be used for estimating daily streamflow at the …
Estimation of daily suspended sediment concentration in the Ca River Basin using a sediment rating curve, multiple regression, and long short-term memory model
C Pham Van, H Le, L Van Chin - Journal of Water and Climate …, 2023 - iwaponline.com
This study presents a sediment rating curve (SRC), multiple regression (MR), and long short-
term memory (LSTM) model for estimating daily suspended sediment concentration (SSC) …
term memory (LSTM) model for estimating daily suspended sediment concentration (SSC) …
Multiple linear regression and long short-term memory for evaluating water levels in irrigation and drainage systems: an application in the Bac Hung Hai irrigation and …
C Pham Van, D Nguyen-Ngoc - Water Supply, 2022 - iwaponline.com
In this context, multiple linear regression (MLR) and long short-term memory (LSTM) are
presented to evaluate water levels in irrigation and drainage systems based on the available …
presented to evaluate water levels in irrigation and drainage systems based on the available …
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Sacred groves have significance in socio-culture and biodiversity conservation. This study
evaluated local people's perceptions regarding conservation of sacred groves for water …
evaluated local people's perceptions regarding conservation of sacred groves for water …