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Article
High-resolution remote sensing data-based urban heat island study in Chongqing and Changde City, China
The main determinants of climate change, forest dynamics, land alteration, heat stress, ecological disturbances, and urban expansion. Addressing challenges posed by increasing anthropogenic activities due to p...
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Article
Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model
River water quality management and monitoring are essential responsibilities for communities near rivers. Government decision-makers should monitor important quality factors like temperature, dissolved oxygen ...
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Article
Open AccessNew formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition
Total dissolved gas (TDG) concentration plays an important role in the control of the aquatic life. Elevated TDG can cause gas-bubble trauma in fish (GBT). Therefore, controlling TDG fluctuation has become of ...
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Article
Flood Subsidence Susceptibility Map** using Elastic-net Classifier: New Approach
In light of recent improvements in flood susceptibility map** using machine learning models, there remains a lack of research focusing on employing ensemble algorithms like Light Gradient Boosting on Elastic...
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Article
Daily Scale River Flow Forecasting Using Hybrid Gradient Boosting Model with Genetic Algorithm Optimization
Accurate and sustainable management of water resources is among the most important circumstances of basin and river engineering. In this study, a hybrid machine learning (ML) model was generated using CatBoost...
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Article
Open AccessMachine learning-based country-level annual air pollutants exploration using Sentinel-5P and Google Earth Engine
Climatic condition is triggering human health emergencies and earth’s surface changes. Anthropogenic activities, such as built-up expansion, transportation development, industrial works, and some extreme phase...
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Article
Megacities’ environmental assessment for Iraq region using satellite image and geo-spatial tools
Urban areas are quickly established, and the overwhelming population pressure is triggering heat stress in the metropolitan cities. Climate change impact is the key aspect for maintaining the urban areas and b...
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Article
A Conceptual Comparison of Dragonfly Algorithm Variants for CEC-2021 Global Optimization Problems
Since the past few years, several metaheuristic algorithms, inspired by the natural processes, have been introduced to solve different complex optimization problems. Studying and comparing the convergence, com...
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Article
Open AccessExtract nonlinear operating rules of multi-reservoir systems using an efficient optimization method
Hydropower plants are known as major renewable energy sources, usually used to meet energy demand during peak periods. The performance of hydropower reservoir systems is mainly affected by their operating rule...
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Article
Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform
This study aims to evaluate the usefulness and effectiveness of four machine learning (ML) models for modelling cyanobacteria blue-green algae (CBGA) at two rivers located in the USA. The proposed modelling frame...
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Article
A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups
Prediction of the scour depth around non-uniformly spaced pile groups (PGs) is one of the most complex problems is hydraulic engineering. Different types of empirical methods have been developed for estimating...
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Article
Surface water sodium (Na+) concentration prediction using hybrid weighted exponential regression model with gradient-based optimization
Undeniably, there is a link between water resources and people’s lives and, consequently, economic development, which makes them vital in health and the environment. Proper water quality forecasting time serie...
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Article
Nanofluids thermal conductivity prediction applying a novel hybrid data-driven model validated using Monte Carlo-based sensitivity analysis
Accurate estimation of the thermal conductivity of nanofluids plays a key role in industrial heat transfer applications. Currently available experimental and empirical relationships can be used to estimate the...
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Article
Open AccessAn 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. As one of the influential ...
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Article
Estimating daily global solar radiation in hot semi-arid climate using an efficient hybrid intelligent system
Solar energy is one of the most important renewable energy sources. Assessing the area's solar potential needs analyzed information about the dataset of the measured global solar radiation (GSR). Researchers r...
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Chapter
Data Mining Methods for Modeling in Water Science
One of the most useful research fields with many real-life applications, such as in water science, is the subject of data mining. Data mining (DM) is considered a process to extract valuable data from a wide r...
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Chapter
Optimization Algorithms Surpassing Metaphor
Achieving novel systems with optimal performance has been converted into a critical preoccupation amongst engineers and scientists across a wide range of fields, whereby optimization has played a crucial role ...
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Article
Open AccessToward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms
In the present study, two kernel-based data-intelligence paradigms, namely, Gaussian Process Regression (GPR) and Kernel Extreme Learning Machine (KELM) along with Generalized Regression Neural Network (GRNN) ...
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Article
A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications
Accurate estimation of thermal conductivity of hybrid nanofluids is crucial for various engineering and industrial applications. The main objective of this research is to accurately predict the thermal conduct...
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Article
Robust Diversity-based Sine-Cosine Algorithm for Optimizing Hydropower Multi-reservoir Systems
Hydropower energy generation depends on the available water resources. Therefore, planning and operation of the water resource systems are paramount tasks for energy management. Since reservoirs are one of the...
