Landslide prediction and field monitoring for Darjeeling Himalayas: A case study from Kalimpong

2021 ◽  
pp. 165-188
Author(s):  
Neelima Satyam
Keyword(s):  
Field Monitoring ◽  
Landslide Prediction ◽  
Darjeeling Himalayas

scholarly journals Effect of Improvement and Application of Composite Prefabricated Vertical Drain Method in Marine Soft Ground: A Case Study

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Jianqing Jiang ◽  
Reqiang Liu
Keyword(s):  
High Speed ◽  
Pore Water Pressure ◽  
Water Pressure ◽  
Ground Improvement ◽  
Field Monitoring ◽  
Hyperbolic Model ◽  
Soft Ground ◽  
Prefabricated Vertical Drains ◽  
Prefabricated Vertical Drain

One of the commonly used techniques to improve marine soft ground is the drainage consolidation method by plastic board drains (PBDs). But some complex marine soft ground will cause construction inconvenience of PBDs in certain areas of these sites, thus affecting the improvement effect. An alternative possible approach to overcoming these deficiencies may be the combination of PBDs and sand wick drains (SWDs) (i.e., composite prefabricated vertical drains (CPVDs)) as vertical drainage channels in the same site. In order to verify the suitability and performance of this method in marine soft ground improvement, a case study was performed based on the field monitoring and construction of the marine soft ground of an intercity express railway project in China. The construction procedure using the CPVD system, the field monitoring instrumentation scheme, and the design of fill surcharge level were described, and the field monitoring data were presented. The settlement characteristics, dissipation features of pore water pressure, and the horizontal movement pattern were assessed. In addition, predictions of ultimate settlement, postconstruction settlement, and consolidation degree were discussed by applying a modified hyperbolic model. The results show that the marine ground improved by the CPVD system is suitable for the construction of intercity express railway and high-speed railway. The improvement construction period of complex marine soft ground will be greatly shortened by the proposed parallel construction programme. This work will provide technical supports and application reference for the improvement of the similar marine soft ground.

scholarly journals Predicting thermal performance of a mass concrete foundation – A field monitoring case study

2019 ◽  
Vol 11 ◽  
pp. e00289 ◽  
Author(s):  
Yogiraj Sargam ◽  
Mahmoud Faytarouni ◽  
Kyle Riding ◽  
Kejin Wang ◽  
Charles Jahren ◽  
...  
Keyword(s):  
Thermal Performance ◽  
Field Monitoring ◽  
Mass Concrete ◽  
Concrete Foundation

scholarly journals Northwest McGregor field CO2 Huff ‘n’ Puff: A case study of the application of field monitoring and modeling techniques for CO2 prediction and accounting

2011 ◽  
Vol 4 ◽  
pp. 3386-3393 ◽  
Author(s):  
James A. Sorensen ◽  
Darren D. Schmidt ◽  
Damion J. Knudsen ◽  
Steven A. Smith ◽  
Charles D. Gorecki ◽  
...  
Keyword(s):  
Field Monitoring ◽  
Modeling Techniques

Dynamics of soil water content using field monitoring and AI: A case study of a vegetated soil in an urban environment in China

2020 ◽  
Vol 28 ◽  
pp. 100301 ◽  
Author(s):  
Ankit Garg ◽  
Vinay Kumar Gadi ◽  
Yi-Cheng Feng ◽  
Peng Lin ◽  
Wang Qinhua ◽  
...  
Keyword(s):  
Water Content ◽  
Urban Environment ◽  
Soil Water ◽  
Soil Water Content ◽  
Field Monitoring

scholarly journals DELIVERING GIS TRAINING USING GEOSPATIAL WEB SERVICE – A CASE STUDY OF LANDSLIDE RISK MAPPING IN HONG KONG

2015 ◽  
Vol XL-6/W1 ◽  
pp. 15-16
Author(s):  
J. Huang ◽  
L. You ◽  
Q. Zhou ◽  
H. Wu
Keyword(s):  
Hong Kong ◽  
Web Service ◽  
Early Warning ◽  
Risk Level ◽  
Landslide Risk ◽  
Landslide Prediction ◽  
Web Based ◽  
Warning Messages ◽  
Geospatial Web Service

This paper sketches a prototype of web-based landslide prediction service for delivering web-based training. The results show that the proposed landslide GWSC model can effectively compute the landslide risk level in different location, and consequently allow for early-warning, which starts with the sensor in the field and ending with user-opitmized warning messages and action advice.

scholarly journals Determination of Rainfall Thresholds for Landslide Prediction Using an Algorithm-Based Approach: Case Study in the Darjeeling Himalayas, India

Geosciences ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 302 ◽  
Author(s):  
Togaru Surya Teja ◽  
Abhirup Dikshit ◽  
Neelima Satyam
Keyword(s):  
Warning System ◽  
Land Loss ◽  
Landslide Occurrence ◽  
Power Law Equation ◽  
The Relationship ◽  
Automated Tool ◽  
Indian Himalayas ◽  
Darjeeling Himalayas

Landslides are one of the most devastating and commonly recurring natural hazards in the Indian Himalayas. They contribute to infrastructure damage, land loss and human casualties. Most of the landslides are primarily rainfall-induced and the relationship has been well very well-established, having been commonly defined using empirical-based models which use statistical approaches to determine the parameters of a power-law equation. One of the main drawbacks using the traditional empirical methods is that it fails to reduce the uncertainties associated with threshold calculation. The present study overcomes these limitations by identifying the precipitation condition responsible for landslide occurrence using an algorithm-based model. The methodology involves the use of an automated tool which determines cumulated event rainfall–rainfall duration thresholds at various exceedance probabilities and the associated uncertainties. The analysis has been carried out for the Kalimpong Region of the Darjeeling Himalayas using rainfall and landslide data for the period 2010–2016. The results signify that a rainfall event of 48 hours with a cumulated event rainfall of 36.7 mm can cause landslides in the study area. Such a study is the first to be conducted for the Indian Himalayas and can be considered as a first step in determining more reliable thresholds which can be used as part of an operational early-warning system.

A Case Study of Effect of Horizontal Drains on Rainfall-Induced Landslide

2011 ◽  
Vol 250-253 ◽  
pp. 1834-1837
Author(s):  
Lin Tang ◽  
Xiao Wu Tang ◽  
Wei Liu
Keyword(s):  
Discharge Rate ◽  
Shallow Landslide ◽  
Field Monitoring ◽  
Groundwater Table ◽  
Monitoring Data ◽  
Horizontal Drain ◽  
Horizontal Drains ◽  
The Stability ◽  
The Relationship

Rainfall-induced landslides are of frequent occurrence in the south of China. One of the most effective methods to stabilize landslides is to lower the groundwater table by installing horizontal drain. A shallow landslide caused by typhoon Morakot happened along Shangyu - Sanmen Expressway in Zhejiang. Horizontal drains were installed and served as an important part of the slope stabilization scheme. The relationship among rainfall intensity, groundwater level, and slope stability was indicated by field monitoring data. Using software GeoStudio, the stability states of the original slope under rainfall are simulated, based on Fredlund’s Unsaturated Soil Strength Theory. After the rain ceases, the draining processes of the original slope and the slope with horizontal drains are compared. It is obvious that the factor of safety recovers rapidly in the slope with drains. The simulated discharge rate of drain and slope surface, and the change of groundwater table also prove the benefits of the drains, which agree well with the field monitoring data.

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