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A platform for research: civil engineering, architecture and urbanism
Research for Predicting Landslide Hazards Protection from Geo Environmental Disaster
Landslide risk is a common geotechnical assessment intended to protect people and property. Landslides are unpredictable and can affect large areas due to sensitive ground zones. An important step in managing landslide risk and danger is landslide peril appraisal. There are several methods for determining the location of landslide danger, including probabilistic, semi-quantitative, quantitative, heuristic, and multicriteria dynamic interaction. However, no method is generally recognized as being effective for assessing the risks of landslides. Previously, models were mostly abstractly still up in the air by professionals. In order to lessen the impact of suspect factors on the forecast outcomes, increase the model's comprehensiveness, and maintain the constancy of expectation precision, it is crucial to properly summarize and examine the display of various models. This study focuses on vulnerability analysis of four major research areas, systematically outlines the difficulties in building various landslide prediction models and areas of research interest, and presents the fundamentals encountered in these four sub-areas. We discussed some of the most important issues and proposed some ideas for points. It will be a reference for future efforts to improve the accuracy of unprotected forecasts in landslide disasters.
Research for Predicting Landslide Hazards Protection from Geo Environmental Disaster
Landslide risk is a common geotechnical assessment intended to protect people and property. Landslides are unpredictable and can affect large areas due to sensitive ground zones. An important step in managing landslide risk and danger is landslide peril appraisal. There are several methods for determining the location of landslide danger, including probabilistic, semi-quantitative, quantitative, heuristic, and multicriteria dynamic interaction. However, no method is generally recognized as being effective for assessing the risks of landslides. Previously, models were mostly abstractly still up in the air by professionals. In order to lessen the impact of suspect factors on the forecast outcomes, increase the model's comprehensiveness, and maintain the constancy of expectation precision, it is crucial to properly summarize and examine the display of various models. This study focuses on vulnerability analysis of four major research areas, systematically outlines the difficulties in building various landslide prediction models and areas of research interest, and presents the fundamentals encountered in these four sub-areas. We discussed some of the most important issues and proposed some ideas for points. It will be a reference for future efforts to improve the accuracy of unprotected forecasts in landslide disasters.
Research for Predicting Landslide Hazards Protection from Geo Environmental Disaster
Jagan, S. (author) / Thenmozhi, S. (author) / Gowri, V. (author) / Ruthra, R. (author) / Upadhye, Nishant Anantrao (author) / Dobhal, Dinesh (author)
2023-09-14
453615 byte
Conference paper
Electronic Resource
English
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