干旱区生态环境知识资源中心(Arid): Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India

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DOI	10.1007/s10668-021-01537-3
	Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India
	Khamkar, Dattatray; Aher, Sainath; Gawali, Praveen; Mhaske, Sumedh
通讯作者	Aher, S (corresponding author), SN Arts DJM Commerce & BNS Sci Coll, Sangamner 422605, India. ; Aher, S (corresponding author), Universal Geotech, Nasik 422011, India.
来源期刊	ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
ISSN	1387-585X
EISSN	1573-2975
出版年	2021-05
英文摘要	Road Cut Slope Catastrophe (RCSC) is a recent menace threatening vehicular traffic and commuter safety in hilly tracts. Reduction of risk along Road Cut Hill Slope (RCHS) needs to be tackled on priority. National Highway (NH) 60 (formerly NH-50) situated in semi-arid basaltic tract within Chandanapuri Ghat (hill) in Maharashtra is being expanded to enhance economic activity in the allied region. To predict RCSC or landslide activity across the Ghat stretch, eleven (n = 11) road cut slopes were investigated by collecting data regarding (1) slope, (2) RCHS height, (3) distance from road, (4) rock composition, (5) soil structure, and (6) mass movement. Traffic survey was also carried out to understand the vehicular frequency. Survey of India (SOI) 1:50,000 scale toposheet (47/I/3) and LISS-III satellite imagery were used to identify the pre-expansion road situation of the area. Mean rainfall and temperature data were collected from TRMM data, and worldclime grid, respectively, to evaluate climatic nature of the area. Satellite-derived ASTER GDEM data were used to prepare the topographic information. Field investigations, GPS data and traffic survey, space-based remote sensing (RS) satellite-derived data were all integrated in ArcGIS V.9.2 software to produce the composite spatial database of all samples. After that, RCHS site weighting and weighted factor combination (WFC) were carried out to form the Landslide Risk Intensity (LRI), i.e., Low risk (LR), Moderate Risk (MR), High risk (HR), and Very High risk (VHR). Results indicate that out of 11 samples, 2 (P3, P11) are prone to VHR, 3 (P2, P9, P10) prone to HR, 3 (P5, P7, P8) prone to MR, and 3 (P1, P4, P6) prone to RCSC. The results were validated from rock fall activity even though the cut slopes are protected with security net, confirmed by field visit. Thus, investigated RCSC will be useful to evaluate the risk intensity and help evolve suitable remedial measures for RCSC or landslide reduction in the present and other similar areas. It is also recommended to make highway slope maintenance an integral part of highway management.
英文关键词	Landslide risk intensity RCSC RS-GIS Slope site weighting
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000654165200004
WOS关键词	DECCAN VOLCANIC PROVINCE ; ROCK SLOPE ; STABILITY ; UDEC
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367515
作者单位	[Khamkar, Dattatray; Mhaske, Sumedh] VJTI, Civil & Environm Engn, Mumbai 400019, Maharashtra, India; [Aher, Sainath] SN Arts DJM Commerce & BNS Sci Coll, Sangamner 422605, India; [Aher, Sainath] Universal Geotech, Nasik 422011, India; [Gawali, Praveen] Indian Inst Geomagnetism, New Panvel 410218, Navi Mumbai, India
推荐引用方式 GB/T 7714	Khamkar, Dattatray,Aher, Sainath,Gawali, Praveen,et al. Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India[J],2021.
APA	Khamkar, Dattatray,Aher, Sainath,Gawali, Praveen,&Mhaske, Sumedh.(2021).Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India.ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY.
MLA	Khamkar, Dattatray,et al."Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India".ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2021).