Mapping Soil Cadmium Content Using Multi-Spectral Satellite Images and Multiple-Residual-Stacking Model: Incorporating Information from Homologous Pollution and Spectrally Active Materials DOI

Chao Tan,

Haijun Luan, Qiuhua He

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 485, P. 136755 - 136755

Published: Dec. 6, 2024

Language: Английский

Identification of driving factors for heavy metals and polycyclic aromatic hydrocarbons pollution in agricultural soils using interpretable machine learning DOI
Jun Wang, Yirong Deng,

Zaoquan Huang

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 960, P. 178384 - 178384

Published: Jan. 1, 2025

Language: Английский

Citations

1

Machine learning-supported determination for site-specific natural background values of soil heavy metals DOI
Jian Wu, Chengmin Huang

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 487, P. 137276 - 137276

Published: Jan. 18, 2025

Language: Английский

Citations

1

A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê County DOI Creative Commons
Wanting Zeng, Li He, Zhengwei He

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 441 - 441

Published: Feb. 20, 2025

Under climate change and human activities, ecosystem service (ES) research lacks systematic approaches scientific depth. This study develops a comprehensive framework integrating advanced models to predict ESs, analyze interactions, identify key drivers, assess spatial effects on the Zoigê Plateau. The results indicate following: (1) From 2000 2020 across three 2040 scenarios, water conservation (WC) improves, while carbon storage (CS) habitat quality (HQ) decline, leading overall ES degradation. Core areas face rising degradation risks from 9% 29% under increasing environmental stress (SSP119 SSP585). (2) importance follows HQ > CS SC WC, with bivariate interactions outperforming single-factor effects. Future scenarios show weakened correlating higher ecological stress, indicating stability risks. (3) Land use (>40% explanatory power) is primary driver, urban expansion, slope, evapotranspiration, precipitation contribute (6–12%). (4) drivers showed weak patterns but became more stable future suggesting stronger control. provides methodological paradigm for analysis supports planning in alpine wetland–grassland regions.

Language: Английский

Citations

1

An Innovative Framework for Urban Allergenic Risk Assessment: Perspectives from Hazard to “Hazard-Exposure-Vulnerability” DOI
Rongbo Xiao,

Junhong Zhong,

Xin Rao

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112507 - 112507

Published: Jan. 1, 2025

Language: Английский

Citations

0

Spatial heterogeneity and interaction mechanism of human activity intensity and land-use carbon emissions along the urban-rural gradient: A case study of the Yellow River Delta DOI
Yijia Yang, Yingying Ma

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 125071 - 125071

Published: March 20, 2025

Language: Английский

Citations

0

Migration characteristics and health risk assessment of heavy metals in soil-vegetable system in a typical wastewater irrigation area DOI

Yuke Kong,

Jinhui Liu,

Junchao Pan

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107564 - 107564

Published: April 1, 2025

Language: Английский

Citations

0

Estimating and mapping tailings properties of the largest iron cluster in China for resource potential and reuse: A new perspective from interpretable CNN model and proposed spectral index based on hyperspectral satellite imagery DOI

Haimei Lei,

Nisha Bao, Mei Yu

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 139, P. 104512 - 104512

Published: April 7, 2025

Language: Английский

Citations

0

Heavy metals in roadside soil along an expressway connecting two megacities in China: Accumulation characteristics, sources and influencing factors DOI
Min Peng, Yang Zheng, Zijia Liu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 177095 - 177095

Published: Oct. 31, 2024

Language: Английский

Citations

1

Interpretable causal machine learning optimization tool for improving efficiency of internal carbon source-biological denitrification DOI
Shiqi Liu,

Zeqing Long,

Jinsong Liang

et al.

Bioresource Technology, Journal Year: 2024, Volume and Issue: 416, P. 131787 - 131787

Published: Nov. 8, 2024

Language: Английский

Citations

1

Machine learning combined with geodetector to predict the spatial distribution of soil heavy metals in mining areas DOI
Haiying Hu, Wei Zhou, Xiaoyang Liu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 959, P. 178281 - 178281

Published: Dec. 29, 2024

Language: Английский

Citations

1