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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
Open AccessImproved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data
This study investigates monthly streamflow modeling at Kale and Durucasu stations in the Black Sea Region of Turkey using remote sensing data. The analysis incorporates key meteorological variables, including ...
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Article
Open AccessSensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network
Accurate prediction of reference evapotranspiration (ETo) is crucial for many water-related fields, including crop modelling, hydrologic simulations, irrigation scheduling and sustainable water management. This s...
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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
Groundwater spring potential prediction using a deep-learning algorithm
Information about water resources is crucial for sustainable development, and this issue is considered to be one of the most important concerns worldwide due to rapid industrialization and population growth. C...
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Article
Open AccessDevelo** an ensembled machine learning model for predicting water quality index in Johor River Basin
Currently, the Water Quality Index (WQI) model becomes a widely used tool to evaluate surface water quality for agriculture, domestic and industrial. WQI is one of the simplest mathematical tools that can assi...
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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
Assessment of Hygiene Practices, Awareness, and Water Consumption Regarding Covid-19 Among Children in a Refugee Camp
At the outbreak of infectious diseases, the response of different communities to the disease varies, and children are most affected by the collective anxiety and grief that consequently arises. In this researc...
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Article
Open AccessHybrid river stage forecasting based on machine learning with empirical mode decomposition
The river stage is certainly an important indicator of how the water level fluctuates overtime. Continuous control of the water stage can help build an early warning indicator of floods along rivers and stream...
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Article
Evaluation of CatBoost Method for Predicting Weekly Pan Evaporation in Subtropical and Sub-Humid Regions
Pan evaporation modeling and forecasting are needed to provide timely, continuous, and valuable information to support water management. This study aimed to overcome the constraints identified in traditional r...
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Article
Improved prediction of monthly streamflow in a mountainous region by Metaheuristic-Enhanced deep learning and machine learning models using hydroclimatic data
This study compares the ability of Long Short-Term Memory (LSTM) tuned with Grey Wolf Optimization (GWO) and machine learning models, artificial neural network (ANN), Adaptive-Network-based Fuzzy Inference Sys...
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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
Open AccessModelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
Biochemical oxygen demand (BOD) is one of the most important parameters used for water quality assessment. Alternative methods are essential for accurately prediction of this parameter because the traditional ...
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Article
Enhancing accuracy of extreme learning machine in predicting river flow using improved reptile search algorithm
This study searches the feasibility of a new hybrid extreme leaning machine tuned with improved reptile search algorithm (ELM-IRSA), in river flow modeling. The outcomes of the new method were compared with si...
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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
Modelling coagulant dosage in drinking water treatment plant using advance machine learning model: Hybrid extreme learning machine optimized by Bat algorithm
Despite the high importance of coagulation process in drinking water treatment plant (DWTP), challenge remains in effectively linking raw water quality measured at the inlet of the DWTP with coagulant dosage r...
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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
Improving the accuracy of air relative humidity prediction using hybrid machine learning based on empirical mode decomposition: a comparative study
This paper proposes a hybrid air relative humidity prediction based on preprocessing signal decomposition. New modelling strategy was introduced based on the use of the empirical mode decomposition, variationa...
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Article
Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study
Accurate streamflow estimation is crucial for proper water management for irrigation, hydropower, drinking and industrial purposes. The main aim of this study to adopt new data preprocessing techniques (e.g., ...
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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...
