Impact of satellite-derived land cover resolution using machine learning and hydrological simulations
This study carefully assesses the capability of supervised machine learning classification
algorithms in identifying land cover (LC) in the context of the Jhelum River basin in Kashmir …
algorithms in identifying land cover (LC) in the context of the Jhelum River basin in Kashmir …
A novel application of waveform matching algorithm for improving monthly runoff forecasting using wavelet–ML models
The main goal of this study is to enhance the precision and reliability of monthly runoff
forecasts within the complex Navrood watershed, situated in northern Iran. The innovative …
forecasts within the complex Navrood watershed, situated in northern Iran. The innovative …
[HTML][HTML] Comparative Analysis with Statistical and Machine Learning for Modeling Overall and High Salinity along the Scheldt Estuary
B Zhu, T Wang, J De Meester, P Willems - Water, 2024 - mdpi.com
Saltwater intrusion is an essential problem in estuaries that can threaten the ecological
environment, especially in high-salinity situations. Therefore in this paper, traditional …
environment, especially in high-salinity situations. Therefore in this paper, traditional …
Assessing the utility of hybrid hydrological modeling over complex conditions of the Chitral basin, Pakistan
Streamflow forecasting holds pivotal importance for planning and decision-making in the
domain of water resources management. The Chitral basin in Pakistan is characterized by …
domain of water resources management. The Chitral basin in Pakistan is characterized by …
[HTML][HTML] Application of Bio Sand Filters for improving drinking water quality in flood-affected areas of Pakistan, a case study of Shahdad Kot, Pakistan
Abstract Flooding in the Shahdad Kot district has significantly impacted groundwater quality,
compelling the resettled population to rely on surface water. Specifically, residents are using …
compelling the resettled population to rely on surface water. Specifically, residents are using …
Prediction of the discharge capacity of piano key weirs using artificial neural networks
M Iqbal, U Ghani - Journal of Hydroinformatics, 2024 - iwaponline.com
The discharge capacity of the piano key weir (PKW) is an important flow feature which
ultimately decides the design of PKWs. In the present research work, the different …
ultimately decides the design of PKWs. In the present research work, the different …
A hybrid ensemble learning wavelet-GARCH-based artificial intelligence approach for streamflow and groundwater level forecasting at Silakhor plain, Iran
E Saadatmand, M Komasi - Environmental Earth Sciences, 2024 - Springer
Today, due to the surface and ground water crisis, these components become vital and
valuable resources throughout the world. Being aware of surface and ground water …
valuable resources throughout the world. Being aware of surface and ground water …
Enhanced daily streamflow forecasting in Northeastern Algeria: integrating hybrid machine learning with advanced wavelet transformation techniques
The primary goal of this study is to devise robust models for analyzing daily streamflow time
series across three distinct watersheds in northeastern Algeria, employing artificial …
series across three distinct watersheds in northeastern Algeria, employing artificial …
Prediction of seasonal rainfall using the hybrid machine learning algorithms
The main objective of the current study is to predict seasonal summer rainfall at two different
stations of Northern Territory (NT), Australia using modified hybrid algorithms. The observed …
stations of Northern Territory (NT), Australia using modified hybrid algorithms. The observed …
[HTML][HTML] Machine learning algorithms to forecast wet-period rainfall using climate indices in Northern Territory of Australia
Accurate rainfall prediction is crucial for understanding and managing a region's social and
agricultural environment. As a key indicator of climate change, natural disasters, and local …
agricultural environment. As a key indicator of climate change, natural disasters, and local …