Manik Das Adhikari on Muck Rack

Manik Das Adhikari

As seen in: Nature, MDPI, Emerald Publishing
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Articles

Sequence of events that led to the South Lhonak lake outburst flood in Sikkim, India

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By Prateek Gantayat, Ankur Dixit, Manik Das Adhikari, Rahul Biswas, Vivek Kumar Singh, Litan Kumar Mohanty
| Nature Verified
Abstract On October 4, 2023, a proglacial lake named the South Lhonak lake was the source of a catastrophic Glacier Lake Outburst Flood (GLOF) in the Teesta river basin area, resulting in 24 fatalities and leaving over 70 persons missing. The GLOF also destroyed 13 bridges and a major hydropower plant in the Chungthang region. Over 60,000 individuals in four districts of Sikkim were impacted by this GLOF event. This study examines the factors that led to the GLOF event.
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The Development of a Framework for the Automated Translation of Sketch-Based Data into BIM Models

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By Manik Das Adhikari, Sang-Guk Yum, Manik Chandra Das, WoonSeong Jeong
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Analysis of the Severity and Cause and Effect of Occupational Accidents in South Korea

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By Tae-Keun Oh, Jérémie Tuganishuri, Sang-Guk Yum, Manik Das Adhikari
| MDPI
3.2. Discussion The proposed optimal model excluded age, worker skills, project value, and the day of accident predictors, which did not contribute to the performance of the model. The significant variables, their odds ratio, confidence interval, and corresponding p-values are summarized in . The odds ratio is the ratio of the probability of being in a given category and the probability of not being in that category (probability of success divided by the probability of failure).
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