NDLI: Practicality of wireless sensor network technique in regional landslide monitoring

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Practicality of wireless sensor network technique in regional landslide monitoring

Content Provider	Semantic Scholar
Author	Jeong, Sang Seom Kim, Joseph H. Jung, Seung Ho
Copyright Year	2018
Abstract	Recently, due to climate change, localized heavy rainfall frequently occurs and rainfall patterns are changing. Especially, landslides occur in urban areas, resulting in loss of lives and property (Kim et al. 2012; Jeong et al. 2015). The occurrence of rainfall-induced landslides is increasing internationally (Borga et al. 2002; Lee et al. 2009; Liao et al. 2011; Kim et al. 2012), and the scale of landslides is also increasing (Song et al. 2013; Kim et al. 2017). In general, steep slope landslide monitoring is planned to perform precise measurement by installing inclinometers, water level meter, and surface extensometers on representative slope section. However, in the case of landslide measurement, mountainous area other than artificial slopes have been classified as ungauged areas since the target area is usually wide and equipment entry, installation and maintenance are difficult. In order to overcome these disadvantages, several studies on the landslide monitoring based on wireless sensor network (WSN) technology are being conducted (Ramesh 2014; Zhang et al. 2017). WSN-based measurement systems can monitor regional areas by relatively low cost, but it is pointed out that long-term monitoring cannot be performed due to power problems. Recently, research on the development of sensor and routing protocol technology with low power consumption and long lifetime has been conducted (Nasseri et al. 2017). In this study, the applicability of the latest WSN technology to landslide monitoring and the design and application method through test-bed based test measurement were proposed.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.hkges.org/JTC1_2nd/files/Papers/Extened/37_181101%20JTC1-Practicality%20of%20wireless%20sensor%20network%20technique%20in%20regional%20landslide%20monitoring_Jeong%20et%20al.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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