Landslides in the Alaknanda Valley of Garhwal Himalaya, India

Sarkar, Sutanu; Kanungo, Debi Prasanna; Patra, A. K.

doi:10.1144/1470-9236/05-020

Cited by 27 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5 implied that all the maximum rainfall events without landslides in the test period between 1992 and 2009 were plotted well below the threshold line indicating that 30 days antecedent period is more effective in predicting the landslides in this region. The threshold was validated using the threat score [9,27,28]. The Threat Score (TS) is calculated as the ratio between the True Positives (where landslides have occurred when the threshold was exceeded) and the sum of True Positives (TP), False Negative (where landslides have occurred when the threshold was not exceeded) and False Positive (where landslides have not occurred though threshold was exceeded).…”

Section: Validationmentioning

confidence: 99%

Location-Specific Rainfall Threshold for Landslides in Select Micro-Watersheds in Coonoor Taluk, Tamil Nadu, India

Sujatha

Suribabu

Kannan

2021

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

Section: Validationmentioning

confidence: 99%

Location-Specific Rainfall Threshold for Landslides in Select Micro-Watersheds in Coonoor Taluk, Tamil Nadu, India

Sujatha

Suribabu

Kannan

2021

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

“…Many workers have carried out the studies of landslides in different part of Garhwal and Kumaun regions of Uttarakhand using various methods and techniques [40][41][42][43][44][45]. A landslide inventory is an important database extent and amount of landslide occurrences [46].…”

Section: Landslide Incidencesmentioning

confidence: 99%

Disaster in Rudraprayag District of Uttarakhand Himalaya: A Special Emphasis on Geomorphic Changes and Slope Instability

Khanduri¹,

Ks²,

Rawat³

et al. 2018

J Geogr Nat Disast

View full text Add to dashboard Cite

Deluge of June 2013 is the worst disaster faced by the nation in recent times. Changing rainfall pattern in the previous some years has made heavy localized precipitation all the more common in Uttarakhand and the same is a cause of concern for the state government, meteorologists and other researchers. These incidences cause enormous loss of human lives, property, infrastructures and natural resources. Moreover rainfall in the study area is highly variable even over short distances. Dissected topography and tectonically active nature of the area further promote mass movement and slope instability. Increased indiscriminate anthropogenic intervention along the river banks, on glacial sediments, thick colluviums zones and river borne materials on moderate to steep slope, has often resulted in devastation in the area. The study highlights causes of slope instability together with the geomorphic changes and suggestions for future developmental initiatives within the district.

show abstract

“…In the Indian Himalayan Region (IHR), landslide frequently occurs due to internal factors such as lithology setting, higher altitude, steep slope, fragile soil, high relief, and groundwater. However, the previous studies also emphasize that external factors such as heavy rainfall, earthquakes, and anthropogenic activities such as deforestation, shifting agriculture, road construction, and agriculture expansion further increased landslides in many potentially unstable slope areas [22][23][24][25][26]. The recently updated global landslide catalog (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018) available on NASA's open data portal (https://data.nasa.gov/browse (accessed on 2 August 2020)) indicated that the Indian Himalayas is a hotspot area of landslides that were mainly triggered by rainfall.…”

Section: Introductionmentioning

confidence: 99%

Landslide Susceptibility Mapping and Assessment Using Geospatial Platforms and Weights of Evidence (WoE) Method in the Indian Himalayan Region: Recent Developments, Gaps, and Future Directions

Batar

Watanabe

2021

IJGI

View full text Add to dashboard Cite

The Himalayan region and hilly areas face severe challenges due to landslide occurrences during the rainy seasons in India, and the study area, i.e., the Rudraprayag district, is no exception. However, the landslide related database and research are still inadequate in these landslide-prone areas. The main purpose of this study is: (1) to prepare the multi-temporal landslide inventory map using geospatial platforms in the data-scarce environment; (2) to evaluate the landslide susceptibility map using weights of evidence (WoE) method in the Geographical Information System (GIS) environment at the district level; and (3) to provide a comprehensive understanding of recent developments, gaps, and future directions related to landslide inventory, susceptibility mapping, and risk assessment in the Indian context. Firstly, 293 landslides polygon were manually digitized using the BHUVAN (Indian earth observation visualization) and Google Earth® from 2011 to 2013. Secondly, a total of 14 landslide causative factors viz. geology, geomorphology, soil type, soil depth, slope angle, slope aspect, relative relief, distance to faults, distance to thrusts, distance to lineaments, distance to streams, distance to roads, land use/cover, and altitude zones were selected based on the previous study. Then, the WoE method was applied to assign the weights for each class of causative factors to obtain a landslide susceptibility map. Afterward, the final landslide susceptibility map was divided into five susceptibility classes (very high, high, medium, low, and very low classes). Later, the validation of the landslide susceptibility map was checked against randomly selected landslides using IDRISI SELVA 17.0 software. Our study results show that medium to very high landslide susceptibilities had occurred in the non-forest areas, mainly scrubland, pastureland, and barren land. The results show that medium to very high landslide susceptibilities areas are in the upper catchment areas of the Mandakini river and adjacent to the National Highways (107 and 07). The results also show that landslide susceptibility is high in high relative relief areas and shallow soil, near thrusts and faults, and on southeast, south, and west-facing steep slopes. The WoE method achieved a prediction accuracy of 85.7%, indicating good accuracy of the model. Thus, this landslide susceptibility map could help the local governments in landslide hazard mitigation, land use planning, and landscape protection.

show abstract

Landslides in the Alaknanda Valley of Garhwal Himalaya, India

Cited by 27 publications

References 0 publications

Location-Specific Rainfall Threshold for Landslides in Select Micro-Watersheds in Coonoor Taluk, Tamil Nadu, India

Location-Specific Rainfall Threshold for Landslides in Select Micro-Watersheds in Coonoor Taluk, Tamil Nadu, India

Disaster in Rudraprayag District of Uttarakhand Himalaya: A Special Emphasis on Geomorphic Changes and Slope Instability

Landslide Susceptibility Mapping and Assessment Using Geospatial Platforms and Weights of Evidence (WoE) Method in the Indian Himalayan Region: Recent Developments, Gaps, and Future Directions

Contact Info

Product

Resources

About