Interpretable predictive modelling of outlet temperatures in Central Alberta’s hydrothermal system using boosting-based ensemble learning incorporating Shapley Additive exPlanations (SHAP) approach

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134738 - 134738

Published: Jan. 1, 2025

Language: Английский

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Machine and deep learning-based prediction of potential geothermal areas in Hangjiahu Plain by integrating remote sensing data and GIS

Energy, Journal Year: 2025, Volume and Issue: 315, P. 134370 - 134370

Published: Jan. 1, 2025

Language: Английский

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Using machine learning models to predict the dose–effect curve of municipal wastewater for zebrafish embryo toxicity

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 488, P. 137278 - 137278

Published: Jan. 20, 2025

Language: Английский

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A Qualitative Study of Water Quality Using Landsat 8 and Station Water Quality-Monitoring Data to Support SDG 6.3.2 Evaluations: A Case Study of Deqing, China

Water, Journal Year: 2024, Volume and Issue: 16(10), P. 1319 - 1319

Published: May 7, 2024

Facing the challenge of degradation global water quality, it is urgent to realize Sustainable Development Goal 6.3.2 (SDG 6.3.2), which focuses on improving quality. Currently, remote sensing technology widely used for quality monitoring. Existing quality-monitoring studies have been conducted based quantitative inversion. It requires a high degree synchronization time and location collection station monitoring data (air–ground spatiotemporal synchronization), can be resource intensive consuming. However, policymakers public are more interested in (good or poor) than specific values parameters, as evidenced by emergence SDG 6.3.2. In this study, we change traditional idea research, focus qualitative research combined with characteristics pollution, propose sample enhancement method under condition “air–ground asynchrony”, construct library. On basis library, random forest classification model was constructed classify qualitatively. We obtained distribution good bodies Deqing County, China, example, from 2013 2022. The results show that has accuracy (Kappa = 0.6004, OA 0.8387), found County improved order “major rivers, lakes, tributaries” during period 2015. This also verifies feasibility using conduct Based model, set spatial-type evaluation processes image elements designed. situation divided into two stages: there trend substantial improvement (evaluated value 63.25) 2015 83.16); remained stable fluctuating after reaching environmental since study proposes simple rapidly evaluating via utilizing easily accessible Landsat 8 directly obtain category information without need additional sampling, thus saving costs. very process easy implement, while providing level accuracy. significantly reduces barriers 6.3.2, supports realization sustainable management resources globally, highly generalizable.

Language: Английский

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Orthogonal experimental investigation on permeability evolution of unconsolidated sandstones during geothermal fluid reinjection: a case study in the Minghuazhen Formation, Tianjin, China

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133626 - 133626

Published: Oct. 1, 2024

Language: Английский

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