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Changing Box–Cox transformation parameter as an early warning signal for abrupt climate change
There are some critical thresholds in many complex dynamic systems. When a system approaches its critical threshold, the probability density...
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A Hybrid Model Integrating Elman Neural Network with Variational Mode Decomposition and Box–Cox Transformation for Monthly Runoff Time Series Prediction
Precise and reliable monthly runoff prediction plays a vital role in the optimal management of water resources, but the nonstationarity and skewness...
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An Alternative Approach for Computing the Standardized Precipitation-Evapotranspiration Index (SPEI)
This study presents an alternative approach for computing the Standardized Precipitation Evapotranspiration Index (SPEI). The proposed approach,...
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Characteristics of transfer zones under the influence of pre-existing faults and regional stress transformation: Wenchang A subsag, Zhujiang River Mouth Basin, northern South China Sea
A transfer zone in rift basins preserves important information on regional tectonic evolution and plays significant roles in hydrocarbon...
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Integrating machine learning techniques for Air Quality Index forecasting and insights from pollutant-meteorological dynamics in sustainable urban environments
Air pollution poses a significant environmental and health challenge in Delhi, India. This research focuses on predicting the Air Quality Index (AQI)...
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Nonlinear Segmental Runoff Ensemble Prediction Model Using BMA
In this study, a novel nonlinear segmental runoff ensemble forecast model based on the Bayesian model averaging (BMA) algorithm (NLTM-BMA m (P-III)) is...
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Exploring hybrid models for forecasting \(CO_2\) emissions in drought-prone Somalia: a comparative analysis
Climate change poses significant challenges globally, demanding accurate forecasting methodologies to comprehend and address its consequences. This...
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Redefined background state in the tropical Pacific resolves the entanglement between the background state and ENSO
Understanding the co-variability between the El Niño–Southern Oscillation (ENSO) and the background state in the tropical Pacific is critical for...
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Parallelization of AMALGAM algorithm for a multi-objective optimization of a hydrological model
A calibration procedure is essential step to achieve a realistic model simulation particularly in hydrological model which simulates water cycle in...
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Spatial interpolation of highly skewed data of the Junggar Basin phreatic groundwater through the multi-scale cokriging model
In groundwater studies, highly skewed data that are not conducive to kriging interpolation are very common. In this work, the total dissolved solids...
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A comparison of data-driven methods in prediction of weather patterns in central Croatia
The prediction of future weather patterns has recently become a very important research area due to the ongoing climate change process which causes...
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Microscopic pore-throat grading evaluation in a tight oil reservoir using machine learning: a case study of the Fuyu oil layer in Bayanchagan area, Songliao Basin central depression
Tight oil reservoirs are key research targets of petroleum geological exploration. Due to their strong heterogeneity, reservoir classification is...
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Using of gene expression programming method for prediction of daily components of tidal cycle in tidal rivers
The forecasting of tide or ebb elevation is a conventional issue. However, prediction of different components of tidal cycle in tidal rivers is a new...
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Phenology of different types of vegetation and their response to climate change in the Qilian Mountains, China
The Qilian Mountains (QM) possess a delicate vegetation ecosystem, amplifying the evident response of vegetation phenology to climate change. The...
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Climatic spatial dynamics in the state of Pernambuco through geostatistical modeling
The growth and yield of important agricultural crops are severely diminished under heat stress, as well as being eminently affected by subtle changes...
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Refining the Factors Affecting N2O Emissions from Upland Soils with and without Nitrogen Fertilizer Application at a Global Scale
Nitrous oxide (N 2 O) is a long-lived greenhouse gas that mainly originates from agricultural soils. More and more studies have explored the sources,...
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Research on Method of Predicting Sandbody Distribution of Tight Sandstone Gas Reservoirs Based on ArcGIS
In recent years, lateral sandbody variations of Shan 1 tight sandstone gas reservoirs discovered in the southwest of Ordos Basin are rapid, and...
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Development of a linear–nonlinear hybrid special model to predict monthly runoff in a catchment area and evaluate its performance with novel machine learning methods
Accurate forecasting of runoff as an important hydrological variable is a key task for water resources planning and management. Given the importance...
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Spatial Distribution of Particulate Matter in Iran from Internal Factors to the Role of Western Adjacent Countries from Political Governance to Environmental Governance
Environmental politics and governance are important topics in the Middle East, where issues such as climate change, pollution, environmental...
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Comparative evaluation of classic and seasonal time series hybrid models in predicting electrical conductivity of Maroun river, Iran
Seasonal autoregressive integrated moving average (SARIMA), Holt–Winters models (Hw), artificial multilayer perceptron neural network (ANN), seasonal...
