Spatial patterns and mechanism of the impact of soil salinity on potentially toxic elements in coastal areas DOI

Mengge Zhou,

Yonghua Li

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175802 - 175802

Published: Aug. 26, 2024

Language: Английский

Estuary salinity prediction using machine learning: case study in the Hau estuary in Mekong River, Vietnam DOI Creative Commons
Huu Duy Nguyen, Dinh Kha Dang, Quang‐Thanh Bui

et al.

Water Science & Technology Water Supply, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

ABSTRACT The prediction of saltwater intrusion in estuaries plays an important role, supporting decision-makers or farmers building strategies, and also, policies made for agricultural development water resource management. objective this study is to develop machine learning models, namely gated recurrent unit (GRU), GRU-GWO (grey wolf optimiser), GRU-SFO (sailfish optimiser algorithm) predict 1, 7, 15, 30 days ahead the Mekong estuary Vietnam. Several statistical indices, root mean square error (RMSE), absolute (MAE), coefficient determination (R2), were applied evaluate accuracy model. results showed that GWO SFO optimisation algorithms successfully improved GRU model intrusion. For a one day forecast, R2 value proposed models ranged from 0.89 0.91, seven it 0.81 0.85, 15-day 0.67 0.76, 30-day 0.52 0.55. indicated ability

Language: Английский

Citations

1

Dynamic molecular regulation of salt stress responses in maize (Zea mays L.) seedlings DOI Creative Commons

Ailijiang Maimaiti,

Wei Gu, Diansi Yu

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 25, 2025

Maize ranks among the most essential crops globally, yet its growth and yield are significantly hindered by salt stress, posing challenges to agricultural productivity. To utilize saline-alkali soils more effectively enrich maize germplasm resources, identifying salt-tolerant genes in is essential. In this study, we used a inbred line, SPL02, salt-sensitive Mo17. We treated both lines with 180 mmol/L sodium chloride (NaCl) for 0 days, 3 6 9 days at three-leaf stage (V3). Through comprehensive morphological, physiological, transcriptomic analyses, assessed stress effects identified hub pathways associated tolerance. Our analysis 25,383 expressed genes, substantial differences gene expression patterns across treatment stages. found 8,971 differentially (DEGs)-7,111 unique SPL02 4,791 Mo17-indicating dynamic changes under stress. DEGs primarily MAPK signaling pathway, phenylpropanoid biosynthesis, hormone conditions. Mo17, responses mediated through abscisic acid-activated pathway response. Additionally, our weighted co-expression network (WGCNA) pinpointed five that likely play central roles mediating These functions including phosphate import ATP-binding protein, glycosyltransferase, WRKY transcription factors. This study offers valuable insights into complex regulatory networks governing response identifies further investigation. findings contribute knowledge enhancing resilience sustainability saline-affected environments.

Language: Английский

Citations

1

Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach DOI Creative Commons
Sana Arshad, Syed Jamil Hasan Kazmi, Endre Harsányi

et al.

Energy Nexus, Journal Year: 2025, Volume and Issue: unknown, P. 100374 - 100374

Published: Feb. 1, 2025

Language: Английский

Citations

0

Unraveling soil salinity on potentially toxic element accumulation in coastal Phragmites australis: A novel integration of multivariate and interpretable machine-learning models DOI

Mengge Zhou,

Yi Yang, Yan Guo

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 217, P. 118072 - 118072

Published: May 5, 2025

Language: Английский

Citations

0

Spatial patterns and mechanism of the impact of soil salinity on potentially toxic elements in coastal areas DOI

Mengge Zhou,

Yonghua Li

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175802 - 175802

Published: Aug. 26, 2024

Language: Английский

Citations

0