SINKHOLE SUSCEPTIBILITY HAZARD ZONES USING GIS AND ANALYTICAL HIERARCHICAL PROCESS (AHP): A CASE STUDY OF KUALA LUMPUR AND AMPANG JAYA

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4. Risk Prediction of Sinkhole Occurrence for Different Subsurface Soil Profiles due to Leakage from Underground Sewer and Water Pipelines H. Ali & J. Choi 10.3390/su12010310
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9. The Integration of Artificial Intelligence and GIS Methods in Determining the Subsidence Potential of Sediment Deposits: a Case Study of Southwestern Iran S. Pourmorad et al. 10.1134/S1028334X23601621
10. A random forest model of karst ground collapse susceptibility based on factor and parameter coupling optimization G. Wang et al. 10.1080/10106049.2022.2102216