[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level
The groundwater resources are the essential sources for irrigation and agriculture
management. Forecasting groundwater levels (GWL) for the current and future periods is an …
management. Forecasting groundwater levels (GWL) for the current and future periods is an …
An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications
As a critical component of sustainable water management, groundwater level prediction
plays a vital role in mitigating droughts and ensuring adequate water supply. For decades …
plays a vital role in mitigating droughts and ensuring adequate water supply. For decades …
Groundwater level prediction with machine learning to support sustainable irrigation in water scarcity regions
Predicting groundwater levels is challenging, especially in regions of water scarcity where
data availability is often limited. However, these regions have substantial water needs and …
data availability is often limited. However, these regions have substantial water needs and …
[HTML][HTML] Groundwater level dynamics in a subtropical fan delta region and its future prediction using machine learning tools: sustainable groundwater restoration
S Mahammad, A Islam, PK Shit, ARMT Islam… - Journal of Hydrology …, 2023 - Elsevier
Abstract Study region The Damodar Fan Delta, West Bengal, India. Study focus The
depletion of groundwater resources worldwide is escalating due to its profuse demand for …
depletion of groundwater resources worldwide is escalating due to its profuse demand for …
A hybrid wavelet–machine learning model for qanat water flow prediction
In many parts of semiarid and arid regions, qanats are the leading supplier of water demand
for agricultural and drinking usage. Qanat is an ancient collecting water system, and qanat …
for agricultural and drinking usage. Qanat is an ancient collecting water system, and qanat …
[PDF][PDF] CNN-Bi LSTM neural network for simulating groundwater level
Managing groundwater resources affected by varying climatic conditions requires applying
reliable and precise forecasts of groundwater levels. Hence, we investigated the …
reliable and precise forecasts of groundwater levels. Hence, we investigated the …
Deep learning model for predicting tunnel damages and track serviceability under seismic environment
Jammu and Kashmir in the northwestern part of the Himalayan region is frequently triggered
with moderate to large magnitude earthquakes due to an active tectonic regime. In this …
with moderate to large magnitude earthquakes due to an active tectonic regime. In this …
Geospatial technology based morphometric analysis and watershed prioritization of lower Satluj basin in India for groundwater recharge potential
The morphometric characteristic of the Satluj Lower basin, which contains eight sub-
watersheds, was the subject of the research study. Using a Geographic Information System …
watersheds, was the subject of the research study. Using a Geographic Information System …
A hybrid groundwater level prediction model using signal decomposition and optimised extreme learning machine
The estimation and prediction of groundwater levels (GWLs) are key to water resource
management and directly linked to the socio-economic growth of sub-Saharan Africa. This …
management and directly linked to the socio-economic growth of sub-Saharan Africa. This …