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Advances in the process-based models of constructed wetlands and a way forward for integrating emerging organic contaminants
This research examines advancements in the development of process-based models of constructed wetlands (CWs) tailored for simulating conventional...
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Importance of on-farm research for validating process-based models of climate-smart agriculture
Climate-smart agriculture can be used to build soil carbon stocks, decrease agricultural greenhouse gas (GHG) emissions, and increase agronomic...
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Modelling the spatiotemporal dynamics of cropland soil organic carbon by integrating process-based models differing in structures with machine learning
PurposeIntegrating process-based models with machine learning (ML) is an important way to derive spatially-explicit information on the dynamics of...
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Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq
Landslides are among the most critical geo-environmental disasters for both humans and the environment. This study intended to create a landslide...
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Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models
Agriculture, meteorological, and hydrological drought is a natural hazard which affects ecosystems in the central India of Maharashtra state. Due to...
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Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models
Accurate and timely monitoring of streamflow and its variation is crucial for water resources management in watersheds. This study aimed at...
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Sorption of zinc chloride complexes from acid-based solutions by using anionic resins: process optimization and modelling
The sorption of zinc chloride ions from hydrochloric acid-based solutions using anionic resins was investigated. A two-stage experiment was planned....
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Toward sustainable process industry based on knowledge graph: a case study of papermaking process fault diagnosis
Process industry suffers from production management in terms of efficiency promotion and waste reduction in large scale manufacturing due to poor...
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A process-based assessment of the sea-level rise in the northwestern Pacific marginal seas
Because regional sea-level rise can threaten coastal communities, understanding and quantifying the underlying process contributing to reginal...
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Remanufacturing benefit comprehensive evaluation for an automotive alternator based on the fuzzy analytic hierarchy process
Remanufacturing is an emerging green strategic industry with resource, economic, and environmental advantages, and has gradually become a popular...
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A review of sewage sludge dewatering and stabilisation in reed bed system: towards the process-based modelling
The sludge treatment reed bed is a sustainable sewage sludge management technology that offers promising sludge dewatering and stabilisation, due to...
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Elimination of pharmaceuticals from wastewater using microbial fuel cell-based bio-electro-Fenton process
This study highlights the potential of the microbial fuel cell (MFC)-based bio-electro-Fenton (BEF) process as an efficient and highly adaptable...
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Comparing geographic information systems-based fuzzy-analytic hierarchical process approach and artificial neural network to characterize soil erosion risk indexes
The pressure on the lands has increased with the dramatic increase in the world population in the last century. Erosion which is a natural process...
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Mathematical-Based Gene Expression Programming (GEP): A Novel Model to Predict Zinc Separation from a Bench-Scale Bioleaching Process
Attempts to predict metal recovery accurately have been hindered by the complexity of the solvent extraction process, nonlinear effects, and the...
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Process-based dynamic identification indicators of soybean chilling damage and analysis of the corresponding spatiotemporal characteristics in Northeast China
Northeast China (NEC) is one of the main soybean-producing areas among the northern-latitude regions. Climate warming leads to frequent extreme...
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A grey fuzzy analytic hierarchy process-based flash flood vulnerability assessment in an ungauged Himalayan watershed
Flash flood is the most recurrent natural threat in northeastern India, especially during the peak of the monsoon season. In recent decades, the...
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CO2 emission accounting and emission reduction analysis of the steel production process based on the material-energy-carbon correlation effect
This paper develops a process-level carbon emission calculation model for iron and steel enterprises through the carbon emission mechanism of the...
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Contribution of non-point source pollution that migrated with underground runoff process based on the SWAT model and a digital filter algorithm
Non-point source (NPS) pollution has always been the focus of research worldwide, and understanding the migration process is the basis for effective...
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Explore the advantage of step-feed Anoxic–Oxic (AO) process through model-based evaluation of a retrofit project
United Nations (UN) Sustainable Development Goals (SDG) of 2030 emphasizes the wastewater industry should seek more energy-efficient measures for...
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Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models
Accurately predicting future carbon emissions is of great significance for the government to scientifically promote carbon emission reduction...
