Dynamic Soil Health Monitoring: Early Warning Thresholds of Pollution and Structural Failure Based on Data

Authors

  • Xuejing Zhang

    Beijing Shunyi District Ecological Environment Monitoring Station, Beijing 101300, China
  • Lanying Hua

    Beijing Municipal Ecological Environment Monitoring Center, Beijing 100048, China

DOI:

https://doi.org/10.30564/jees.v8i7.13451
Received: 14 April 2026 | Revised: 23 July 2026 | Accepted: 28 July 2026 | Published Online: 30 July 2026

Abstract

The health of soil is a vital factor in the ecology of the ecosystem, the use of agriculture, and the stability of infrastructure. The conventional soil evaluation techniques, which are mainly based on periodical sampling and laboratory analysis, are usually unable to provide the dynamic variability of chemical, physical, and biological soil properties. The recent sensor network, remote sensing, and data analytics innovations have allowed the creation of dynamic soil health monitoring systems that deliver high-resolution and continuous data. The review paper summarizes the existing information on the application of chemical, physical, and biological indicators to the assessment of soils, with a focus on how these indicators are used as early warning indicators of pollution and structural damage. We critically assess sensor technologies, Internet of Things (IoT) platforms, remote sensing strategies, and the integration of labs and fields, with an emphasis on their strong aspects, limitations, and opportunities to use them in real-time. The review goes on to discuss data-driven modeling approaches, such as statistical modeling, machine learning, and sensor fusion, for predicting soil degradation, contaminant accumulation, and structural instability. The main issues, including the heterogeneity of the soils, the reliability of the sensors, the fusion of the data, and the tailored thresholds, are presented, as well as the new opportunities in adaptive monitoring, the development of biosensors, and predictive analytics. Dynamic soil health monitoring can provide evidence-based interventions proactively in advance through the integration of multi-dimensional pointers with real-time data and predictive modeling, and through the implementation of soil management programs based on anticipation instead of remedies. It is a framework that provides a means of sustainability in the management of soil and infrastructure, which increases resilience to man-made pressures and environmental uncertainty.

Keywords:

Dynamic Soil Monitoring; Early Warning Thresholds; Pollution; Structural Failure; Data-Driven Modeling

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How to Cite

Zhang, X., & Hua, L. (2026). Dynamic Soil Health Monitoring: Early Warning Thresholds of Pollution and Structural Failure Based on Data. Journal of Environmental & Earth Sciences, 8(7), 299–314. https://doi.org/10.30564/jees.v8i7.13451

Issue

Vol. 8 , Iss. 7 (July 2026): In Progress

Article Type

Review

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Copyright © 2026 Xuejing Zhang, Lanying Hua

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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