Probabilistic mapping of imbalanced data for groundwater contamination using classification algorithms: Performance and reliability DOI
Yang Qiu, Aiguo Zhou, Hanxiang Xiong

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер 28, С. 101393 - 101393

Опубликована: Дек. 11, 2024

Язык: Английский

Evaluating the Effects of Climate-Induced Heatwaves on the Thermal Dynamics and Water Quality of a Deep Reservoir DOI
Manuel Almeida, Senlin Zhu, Rita M. Cardoso

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Real-time, reagent-free total phosphorus soft sensor based on frequency-enhanced decomposed transformer model DOI
Weilin Guo, Yizhang Wen,

Minghuan Liu

и другие.

Measurement, Год журнала: 2025, Номер unknown, С. 117509 - 117509

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Advanced machine learning schemes for prediction CO2 flux based experimental approach in underground coal fire areas DOI Creative Commons
Yongjun Wang,

Mengxiong Guo,

Hung Vo Thanh

и другие.

Journal of Advanced Research, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

Underground coal fires pose significant environmental and health risks due to releasing CO

Язык: Английский

Процитировано

2

Global Spatial Projections of Forest Soil Respiration and Associated Uncertainties DOI Open Access

Lingxia Feng,

Junjie Jiang, Junguo Hu

и другие.

Forests, Год журнала: 2024, Номер 15(11), С. 1982 - 1982

Опубликована: Ноя. 10, 2024

The accurate prediction of global forest soil respiration (Rs) is critical for climate change research. Rs consists autotrophic (Ra) and heterotrophic (Rh) respiration, which respond differently to environmental factors. Predicting as a single flux can be biased; therefore, Ra Rh should predicted separately improve accuracy. In this study, we used the SRDB_V5 database random model analyze uncertainty in predicting using (SGM) Ra/Rh specific categorical (SCM) spatial dynamics distribution pattern Ra, Rh, future under two different patterns. results show that higher tropical inland climatic conditions, while fluctuates less than Rs. addition, SCM predictions better capture key factors are more consistent with actual data. SSP585 (high emissions) scenario, projected increase by 19.59 percent, SSP126 (low increases only 3.76 percent over 80 years, underlines need projections.

Язык: Английский

Процитировано

1

Evaluating the Performance of Ce-Qual-W2 Sediment Diagenesis Model DOI
Manuel Almeida,

Pedro Coelho

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Advanced data augmentation techniques coupled with enhanced particle swarm optimization for predicting total phosphorus concentrations in limited transmission spectra samples: A case study on the Yangtze River DOI
Guohao Zhang, Cailing Wang, Hongwei Wang

и другие.

Journal of Water Process Engineering, Год журнала: 2024, Номер 68, С. 106547 - 106547

Опубликована: Ноя. 15, 2024

Язык: Английский

Процитировано

0

Probabilistic mapping of imbalanced data for groundwater contamination using classification algorithms: Performance and reliability DOI
Yang Qiu, Aiguo Zhou, Hanxiang Xiong

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер 28, С. 101393 - 101393

Опубликована: Дек. 11, 2024

Язык: Английский

Процитировано

0