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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JWA</journal-id><journal-title-group><journal-title>Journal of World Architecture</journal-title></journal-title-group><issn>2208-3480</issn><eissn>2208-3499</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jwa.v9i6.13405</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Landslide Engineering Treatment: Integrated Technology and Practice of Exploration, Design and Construction</title><url>https://artdesignp.com/journal/JWA/9/6/10.26689/jwa.v9i6.13405</url><author>ZhangHongfang,HanSen,WeiHuilong,FangChunbo</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-12-31</published-time></date></history><abstract>Landslide disaster management requires the integration of investigation, design, and construction technologies to enhance engineering safety and cost-effectiveness. This study establishes an “air-space-ground” integrated investigation system using 3D laser scanning, InSAR monitoring, and UAV remote sensing to accurately identify sliding zone characteristics. Dynamic design of governance schemes is achieved through numerical simulation and multi-objective optimization algorithms. BIM collaborative management and automated monitoring systems ensure construction controllability. Case analysis shows that integrated technology reduces parameter misjudgment risks and improves comprehensive safety factors by 15–20%. Future research should focus on AI-driven real-time geological model inversion and green support materials.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Xu Q, Zhao B, Dai K, et al., 2023, Remote Sensing for Landslide Investigations: A Progress Report from China. Engineering Geology, 2023(321): 107156.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Bao H, Zeng C, Peng Y, et al., 2022, The Use of Digital Technologies for Landslide Disaster Risk Research and Disaster Risk Management: Progress and Prospects. Environmental Earth Sciences, 81(18): 446.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Zhang Z, Wu X, Xiao E, et al., 2023, Research and Practice of Key Technologies for Landslide Dam Development and Utilization: A Case in Hongshiyan Landslide Dam Water Conservancy Project. River, 2(3): 251–262.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Thirugnanam H, Uhlemann S, Reghunadh R, et al., 2022, Review of Landslide Monitoring Techniques with IoT Integration Opportunities. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022(15): 5317–5338.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Alcántara-Ayala I, 2021, Integrated Landslide Disaster Risk Management (ILDRiM): The Challenge to Avoid the Construction of New Disaster Risk. Environmental Hazards, 20(3): 323–344.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Liu S, Segoni S, Raspini F, et al., 2020, Satellite InSAR as a New Tool for the Verification of Landslide Engineering Remedial Works at the Regional Scale: A Case Study in the Three Gorges Reservoir Area, China. Applied Sciences, 10(18): 6435.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Hong-In P, Takahashi A, Likitlersuang S, 2024, Engineering and Environmental Assessment of Soilbag-based Slope Stabilisation for Sustainable Landslide Mitigation in Mountainous Area. Journal of Environmental Management, 2024(359): 120970.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Chen B, Peng H, Yang W, et al., 2025, Landslide-Reinforcement Method and its Application based on Jet Grouting to Improve Sliding-Soil Strength. Engineering Geology, 2025(349): 107976.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Khan R, Yousaf S, Haseeb A, et al., 2021, Exploring a Design of Landslide Monitoring System. Complexity, 2021(1): 5552417.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Hu W, Liu Z, Zhou C, et al., 2025, Enhancing Geohazard Management: Real-Time Dynamic Ascending Dimension Modeling for Landslide Risk Assessment. Bulletin of Engineering Geology and the Environment, 84(7): 1–19.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
