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Yunxian Yan

Showing results (1-10 of 11) with videos related to

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Plos One|December 19, 2025
Determinants of farmers' decision-making behavior for black soil protection in Northeast China-A case of Jilin ProvinceXu Sun, Rui Yan, Ling Zhao, et al.
Journal of Environmental Management|February 14, 2026
A tobacco-rapeseed rotation model for economically sustainable phytoremediation of cadmium-contaminated farmlandZhaoyang Han, Yunxian Yan, Liang Wang, et al.
Ecotoxicology and Environmental Safety|July 20, 2025
Machine learning-driven optimization of arsenic phytoextraction using amendmentsHuading Shi, Yunxian Yan, Zhaoyang Han, et al.
Journal of Environmental Management|November 8, 2024
Economic evaluation of cadmium phytoextraction: Comparing accumulators using cost-efficiency indicators and scenario analysisRuqing Hu, Yunxian Yan, Zhaoyang Han, et al.
Environmental Pollution (Barking, Essex : 1987)|July 19, 2024
Quantifying the impact of factors on soil available arsenic using machine learningZhaoyang Han, Jun Yang, Yunxian Yan, et al.
Water Research|September 21, 2024
Neglected pathways of heavy metal input into agricultural soil: Water-land migration of heavy metals due to flooding eventsJun Yang, Zhaoyang Han, Yunxian Yan, et al.
The Science of the Total Environment|October 7, 2021
The key nodes and main factors influencing accumulation of soil arsenic in Pteris vittata L. under field conditionsJun Yang, Yunxian Yan, Nanjia Lu, et al.
The Science of the Total Environment|December 24, 2021
Temporal and spatial differentiation characteristics of soil arsenic during the remediation process of Pteris vittata L. and Citrus reticulata Blanco intercroppingYunxian Yan, Jun Yang, Xiaoming Wan, et al.
International Journal of Phytoremediation|May 17, 2021
Potential evaluation of different intercropping remediation modes based on remediation efficiency and economic benefits - a case study of arsenic-contaminated soilYunxian Yan, Jun Yang, Yue Guo, et al.
Toxics|June 25, 2026
Unraveling the Origins and Drivers of Potentially Toxic Elements (PTEs): A Sequential Framework Integrating Receptor Model and Machine LearningJingyun Wang, Xiaofeng Zhao, Jiufen Liu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Plos One|December 19, 2025
Determinants of farmers' decision-making behavior for black soil protection in Northeast China-A case of Jilin ProvinceXu Sun, Rui Yan, Ling Zhao, et al.
Journal of Environmental Management|February 14, 2026
A tobacco-rapeseed rotation model for economically sustainable phytoremediation of cadmium-contaminated farmlandZhaoyang Han, Yunxian Yan, Liang Wang, et al.
Ecotoxicology and Environmental Safety|July 20, 2025
Machine learning-driven optimization of arsenic phytoextraction using amendmentsHuading Shi, Yunxian Yan, Zhaoyang Han, et al.
Journal of Environmental Management|November 8, 2024
Economic evaluation of cadmium phytoextraction: Comparing accumulators using cost-efficiency indicators and scenario analysisRuqing Hu, Yunxian Yan, Zhaoyang Han, et al.
Environmental Pollution (Barking, Essex : 1987)|July 19, 2024
Quantifying the impact of factors on soil available arsenic using machine learningZhaoyang Han, Jun Yang, Yunxian Yan, et al.
Water Research|September 21, 2024
Neglected pathways of heavy metal input into agricultural soil: Water-land migration of heavy metals due to flooding eventsJun Yang, Zhaoyang Han, Yunxian Yan, et al.
The Science of the Total Environment|October 7, 2021
The key nodes and main factors influencing accumulation of soil arsenic in Pteris vittata L. under field conditionsJun Yang, Yunxian Yan, Nanjia Lu, et al.
The Science of the Total Environment|December 24, 2021
Temporal and spatial differentiation characteristics of soil arsenic during the remediation process of Pteris vittata L. and Citrus reticulata Blanco intercroppingYunxian Yan, Jun Yang, Xiaoming Wan, et al.
International Journal of Phytoremediation|May 17, 2021
Potential evaluation of different intercropping remediation modes based on remediation efficiency and economic benefits - a case study of arsenic-contaminated soilYunxian Yan, Jun Yang, Yue Guo, et al.
Toxics|June 25, 2026
Unraveling the Origins and Drivers of Potentially Toxic Elements (PTEs): A Sequential Framework Integrating Receptor Model and Machine LearningJingyun Wang, Xiaofeng Zhao, Jiufen Liu, et al.
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