[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …
water quality. This study introduces a new ensemble machine learning model called Extra …
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data
This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …
Methods to estimate evapotranspiration in humid and subtropical climate conditions
Selecting appropriate reference evapotranspiration (ET o) methods is crucial for managing
water resources efficiently. Statistical criteria commonly used to assess the performance of …
water resources efficiently. Statistical criteria commonly used to assess the performance of …
An integrated statistical-machine learning approach for runoff prediction
Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …
space and time. There is a crucial need for a good soil and water management system to …
Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration
Precise reference evapotranspiration (ETo) estimation and prediction are the first steps to
realize efficient agricultural water resources management. As machine learning methods are …
realize efficient agricultural water resources management. As machine learning methods are …
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Accurate and reliable prediction of streamflow is vital to the optimization of water resources
management, reservoir flood operations, catchment, and urban water management. In this …
management, reservoir flood operations, catchment, and urban water management. In this …
Data intelligence model and meta-heuristic algorithms-based pan evaporation modelling in two different agro-climatic zones: a case study from Northern India
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation
scheduling, and agricultural water management. In recent years, the data-driven models …
scheduling, and agricultural water management. In recent years, the data-driven models …
An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction
Precise prediction of water quality parameters plays a significant role in making an early
alert of water pollution and making better decisions for the management of water resources …
alert of water pollution and making better decisions for the management of water resources …