PERSPECTIVE article
Front. Environ. Sci.
Sec. Soil Processes
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1606054
This article is part of the Research TopicWhat’s Ahead: Navigating the Future of Environmental ScienceView all articles
Soil Pollution and Remediation: Emerging Challenges and Innovations
Provisionally accepted
- 1Department of Agriculture, Landscape and Environment, University of Vermont, Burlington, VT, United States
- 2Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, Troy, NY, United States
- 3Department of Soil, Water, and Ecosystem Sciences, Tropical Research and Education Center, University of Florida, Homestead, FL, United States
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This perspective addresses the critical issue of soil pollution, exacerbated by rapid urbanization, intensive agriculture, and climate change, which introduces a complex mix of contaminants such as heavy metals, pesticides, PFAS, and microplastics into the soil. These pollutants pose severe risks to environmental health and agricultural productivity by altering soil functionality and contaminant mobility. We explore innovative monitoring and remediation technologies, including advanced sensors and bioremediation strategies, that enable real-time detection and effective management of soil pollutants. The integration of artificial intelligence and machine learning offers significant advancements in predicting and managing soil contamination dynamics. Furthermore, the manuscript discusses the challenges and future directions in soil pollution research, particularly the need for robust policy frameworks and international cooperation to effectively manage and mitigate soil contamination. Emphasizing a multidisciplinary approach, this study calls for enhanced global standards, public engagement, and continued scientific research to develop sustainable solutions for soil remediation and to ensure the protection of vital soil resources for future generations.
Keywords: Soil Pollution, Soil remediation, extreme weather, Pollution sensor, Environment policies
Received: 04 Apr 2025; Accepted: 17 Apr 2025.
Copyright: © 2025 Chen, Gao and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Hao Chen, Department of Agriculture, Landscape and Environment, University of Vermont, Burlington, VT, United States
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