Editorial: Geohazard monitoring, modeling, and assessment in harsh environments

Accurate detection and real-time monitoring of potential geohazards are critical for both early warning and understanding the mechanisms behind hazardous events. Wu et al.apply a combination of kinematic and numerical modeling techniques to assess the stability of a complex rock slope beneath a major overpass in Chongqing, China. Their multi-method approach provides a template for assessing infrastructure safety in urbanized, geologically complex settings. Meanwhile, Tak et al. employ GIS-based analysis to uncover the influence of altitude, slope, and waterway characteristics on slowmoving landslides in South Korea, providing valuable empirical data for the development of national-scale hazard information systems.Effective mitigation depends on both innovative materials and early warning systems. Zhu et al. propose improvements to enzyme-induced calcite precipitation (EICP) for soil stabilization, demonstrating that prehydrolysis and accelerated injection rates can markedly enhance the uniformity and total amount of calcite in treated soils. This technique holds promise for stabilizing loose, erosion-prone soils in harsh environments.Addressing compound geohazards, Ratnasari et al. develop an early warning system for tsunamis triggered by volcanic collapses, using numerical modeling and a precomputed database to support rapid, real-time forecasting for disaster-prone volcanic islands.Collectively, the articles in this Research Topic highlight the benefits of interdisciplinary, multi-scale approaches to geohazard monitoring, modeling, and assessment. By bridging laboratory innovation, field monitoring, and predictive analytics, these studies help drive progress toward more resilient communities and infrastructure in the face of growing geohazard risks. We thank all contributing authors and reviewers for their dedication and insight, and we hope this collection inspires further innovation and collaboration in the geoscience and engineering communities.

Abstract licence: CC BY

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