Experts believe a block of rock, with some ice, dropped . pixels in each landslide conditioning factor class. and A.G. Fabbri, Validation of spatial prediction models for landslide hazard mapping. endobj Landslide inventory has, been then divided into two parts to generate training dataset (70% landslide inventory, i.e 301 landslide locations) and testing dataset (30% remaining landslide inventory, i.e 129 landslide locations). Uttarakhand state is among the most seismically active parts of India. Government of Gujarat, Gandhinagar, India. Change in river flow due to construction of dams, barriers, etc. District headquarter is situated at Gopeshwar around 10 kilometers . 40 0 obj 2013 North India Floods: In June 2013, a multi-day cloudburst centered on Uttarakhand caused devastating floods and landslides. 1. Choi, J., et al., Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS. Natural Hazards, 2003. <>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]>>/Parent 20 0 R/Annots[]/MediaBox[0 0 595.32 841.92]/Contents[213 0 R]/Type/Page>>
16th Esri India User Conference 2015 Page 1 of 15 "Delineation of Landslide Susceptible Areas in Karnaprayag, Chamoli District, Uttarakhand, India" Ajay Kumar Sharma1, Anand Mohan Singh2 1 Project Manager, RMSI Pvt. Generally landslide occurred due to heavy rainfall, slope failure, highly weathered rock, natural and man-made = 3.035 3.703), (5) Very high (LSI = 3.703 5.94). Landslide Distribution and Damages during 2013 Deluge: A Case Study of Chamoli District, Uttarakhand . 13 0 obj Official Website Of. The Landslide Blog (2021, February 15) New perspectives on the Chamoli debris flow disaster. <>
3 0 obj 5 0 obj Landslide Hazard Zonation using Quantitative Methods in GIS, Pauri Garhwal District, Uttarakhand, India By Ramlakhan Yadav & Dr. Neelam Rawat lmora Kumaun University . Overall, the FR model is an effective method for the landslide susceptibility assessment of hilly areas. endobj Devkota, K.C., et al., Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at MuglingNarayanghat road section in Nepal Himalaya. logical maps. Overall, the FR model is an effective method for landslide susceptibility assessment of hilly and mountainous areas. Accessed February 23, 2021. Increased industrialisation leading to climate change and weather disturbances. It usually occurs under different conditions depending on characteristics of study region such as geology, topography, hydrology, meteorology, vegetation, human activities, etc. Heavy snowfall in winter and melting in summer induces debris flow, which is carried in large quantity by numerous streams and rivers – which results in increases chances of Landslides. Abstract- Landslides are one of the critical natural processes, which cause enormous damage to life and property. Legacy IAS Academy as the name suggests, is an outcome of some inspiring work in the field of Civil Services tutoring. Geographic Information System Group, Department of Business Administration and Computer Science Telemark University College. A different variety of landslides, characterized by a lateritic cap. 9 0 obj 118(0): p. 124-135. Its performance is fairly good (AUC = 0.72). Landslide conditioning factors such as slope angle, slope aspect, elevation, curvature, land use, rainfall have been taken into account to evaluate the spatial relationship between them and landslide occurrences in the study area. Dhital, and F. De Smedt, Landslide susceptibility mapping using the weight of evidence method in the Tinau watershed, Nepal. Generally landslide occurred due to heavy rainfall, slope failure, highly weathered rock, natural and man-made Ozdemir, A. and T. Altural, A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey. Himalayas are made of sedimentary rocks which can easily be eroded – hence, erosions contribute to more landslides. In order to undertake the landslide susceptibility mapping for the study area, it is necessary to address the landslide inventory which indicates the geospatial distribution of several factors including locations, types, and nature of landslides [].For the model development, the landslide polygon data represented on map by points was split randomly . Required fields are marked *. 7(1): p. 13-30. CATENA, 2014. 61(4): p. 821-836. Government Of Uttarakhand. endobj Nepal Himalaya. Io+
The study area is a mountainous region with high mountain ranges. In the study area, there are four main land use patterns such as dense forest, open-forest, non-forest, and scrub land. The results of the present study are comparable with other studies [5, 19, 20]. Six landslide conditioning factors (slope angle, slope aspect, elevation, curvature, land use, rainfall) have been taken into consideration for evaluation of the spatial relationship between them and landslide occurrences. endobj Secondary Seismic Hazard. The increased disaster hazard has led scientists to map the . The chief cause for the extent of the damage, scientists and environmentalists point out, was the unbridled human intervention in the region. <>
2015). In the present study, a part of Uttarakhand Himalaya has been selected as a case study to <>
15 0 obj Whenever the situation of landslide occurs, the road gets blocks and the process of sliding is still active. endobj endobj Map showing numbers of high rainfall 'cloudbursts' in the various districts of Uttarakhand in May 2021. Your email address will not be published. 61(5): p. 1049-1064. Landslide Zone. <>
endobj Figure 10.Landslide hazard zonation map of the study area. The first incident occurred around 11:30 am on August 21 2021, downhill Harkot village, in Munsyari, Pithoragarh after a part of steep hill detached close to confluence of Ritha and Harkot streams. After August 14, 2021 landslide dam on Chenab river in Himachal Pradesh, there have been two more such incidents in north west Himalayan region of Uttarakhand and Ladakh.. Harkot artificial lake. Landslide is a complex phenomenon thus researchers all are trying to understand its mechanism in order to mitigate their harmful impaction. 16 0 obj : Study and Prediction of Landslide in Uttarkashi, Uttarakhand, India Using GIS and ANN 5. The scar is what remains after chunks of ice and rock broke off a wall of ice in a rock slope failure — or landslide — from a glacier on the . The study area is situated in subtropical moon soon region having three separate seasons including winter (October to February), summer (March to June), and moon soon (June to September). Data Used 2.3.1. Major portion of fieldwork These at the same time hamper post-earthquake search, rescue and . endobj places of Uttarakhand. On February 8, after the dust clears up, it is all a field of debris. endobj endobj Landslide Hazard Zonation using Quantitative Methods in GIS, Pauri Garhwal District, Uttarakhand, India By Ramlakhan Yadav & Dr. Neelam Rawat lmora Kumaun University . 29 0 obj endobj <>stream
It shows degree of susceptibility of area to landslide occurrences. 65: p. 67184. 4 0 obj Diurnal changes of temperature are much more in northern India than in southern slopes – weakening the rocks and increasing mass wasting and erosion. The main principle of this method is based on assessment of observed spatial relationship between past landslides and a set of landslide conditioning factors [13]. Like most hill townships, Mussoorie, the popular hill station in Uttarakhand, has witnessed several landslides, probably resulting from an increased spate of developmental activities. Where Pi is the percentage of pixels in each landslide conditioning factor class, PLi is the percentage of landslide. 11 0 obj The study area (Fig 1) is located between Pauri Garhwal and Tehri Garhwal districts in Uttarakhand state of India (longitudes of 78o2901E to 78o3706E and latitudes 29o5638N to 30o0937N) covering an area of of, 323,815m². These landslide locations have been then validated from historical landslide reports, newspaper records, and extensive field data. It was caused by a large rock and ice avalanche consisting of material dislodged from Ronti peak. endobj 7 This report focuses on data collected in 2010 and on the diagnosis of landslide causes. 32 0 obj 5 The performance of the FR model using success rate curve and predictive curve in this study. Poudyal, C.P., et al., Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the. Ltd. A-8, Sector 16, NOIDA 201301imp ages) Abstract: Landslides are natural disasters that lead to 3 Land use maps with landslide locations. The scar is what remains after chunks of ice and rock broke off a wall of ice in a rock slope failure — or landslide — from a glacier on the . Department of Civil Engineering Gujarat Technological University. endobj Department of Civil Engineering, LD College of Engineering , Gujarat Technological University, Abstract – Frequency Ratio has successfully applied as statistical approach for landslide susceptibility assessment in many regions over the world. Frequency Ratio model with the training dataset whereas the area under predictive rate curve (AUC) shows prediction capability of the Frequency Ratio model [18]. LSI has been calculated based on the NFR values that have been determined in training process (Table 1). 14 0 obj Rainfall map has been generated based on spline interpolation method [12] using meteorological data.. All classes of these maps are shown in Table 1. Landslide locations along the Almora Lower Mall, Uttarakhand, September 20 10. The NFR values were then used to. Rainfall usually occurs heavily in moon soon season with annual mean rainfall ranging from 770mm to 1684mm. 4 Landslide susceptibility map (LSM) of the study area using the FR model, The performance of the FR model has been evaluated using the success rate and predictive curves which were proposed by Chung and Fabbri [18]. 22 0 obj As an abode of knowledge, LIA today intends to build on the legacy of its successes and continue to help aspirants realise their dreams of becoming a part of Civil Services community. 37 0 obj These landslide locations were then randomly split into two parts (i) for training process (70% landslide locations) and (ii) for validation process (30% landslide locations). <>
Landslides, 2010. In Uttarakhand state in India, hill slopes are known for their instability as they are ecologically fragile, tectonically and seismically active, and geologically sensitive that makes it prone to landslide hazards. 51(0): p. 350-365. 17 case study : uttarakhand vulnerability profile source: vulnerability atlas of himachal pradesh figure 11: map of uttarakhand showing the regions prone to landslides areas with dense population and vulnerable to severe landslides source: census 2011 population at risk- 77% of the total state population lives in high risk zones. 6 0 obj endobj The results are shown in Fig. The results are shown in Table 1. scalable methodology for landslide hazard assessment was developed. endobj endobj The increased disaster hazard has led scientists to map the landslide susceptibility of Mussoorie and surrounding areas, showing that 15 percent of the region is highly susceptible to landslides. <>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]>>/Parent 20 0 R/Annots[]/MediaBox[0 0 595.32 841.92]/Contents[237 0 R]/Type/Page>>
Moving of Indian plates doesn’t affect the Western Ghats much (as they are old block mountains), hence the reduced number of landslides. <>
Debris blocked the rivers, causing major overflow. Weights of evidence modelling for landslide hazard zonation mapping in part of Bhagirathi valley, Uttarakhand @article{Mathew2007WeightsOE, title={Weights of evidence modelling for landslide hazard zonation mapping in part of Bhagirathi valley, Uttarakhand}, author={J. Mathew and V. K. Jha and G. Rawat}, journal={Current Science}, year={2007}, volume={92} } They found that dominant part of the area falling under very high and high landslide susceptible zone lies in the settlement areas and are covered by highly fractured Krol limestone exhibiting slope more than 60 degrees. After August 14, 2021 landslide dam on Chenab river in Himachal Pradesh, there have been two more such incidents in north west Himalayan region of Uttarakhand and Ladakh.. Harkot artificial lake. endobj Authors are also thankful to Mr. T.P Singh, Director, Bhaskarcharya Institute for Space Applications and Geo- Informatics (BISAG), Gujarat, India for providing facilities to carry out this research work. Geologically the area falls in Lesser Himalaya and earlier works of Auden (1937) and Heim and Gansser (1939) suggest that the rocks of Pithoragarh area belong two tectonic units; one belonging to the Almora Crystalline Zone and the other belonging to the sedimentary zone of . Non-forest occupies the biggest area (39.02%). As an abode of knowledge, LIA today intends to build on the legacy of its successes and continue to help aspirants realize their dreams of becoming an IAS officer. endobj In contrast, predictive rate curve presents the relationship between the percentage of landslide susceptibility map and the percentage of landslide pixels employed for testing process. Creative Commons Attribution 4.0 International License, Design and Analysis of Microstrip Filtenna with Discontinuity Compensation Techniques, Cost-Efficient Electric Bike as a Sustainable Transportation Alternative for Delivery of Goods, Software Reliability Prediction : A Review, Power Quality Analysis in Grid Connected Wind Energy Conversion System, Evaluation of Some Raindrop Size Distribution Models for Different Rain Rates, Effect of Autorickshaws and Buses on Mixed Traffic Flow – A Case Study of Shivamogga City, Automatic Human Detection in Surveillance Camera to Avoid Theft Activities in ATM Centre using Artificial Intelligence, Bluetooth based Home Automation using Arduino, Assessing the Effect of Different Mortar Mixes on Strength of Burnt Clay Brick Masonry Wall, Design, Analysis and Development of Improved Hollow Concrete Block Making Machine. While steep slope on western side with high rainfall creates idea condition for landslide but gentle eastern slope with low rainfall and rivers in senile stage, counters the condition. The Western Ghats are on more stable part of Indian plate, hence, there is a lesser occurrence of earthquakes and landslides. Rudraprayag, September 11: Landslide debris has blocked Uttarakhand's Rishikesh-Badrinath highway and has damaged dozens of vehicles in Sirobagad. In just nine days, May 2021 has seen about 24 'cloud burst' incidents from ten districts of Uttarakhand. Drifting of Indian plate causes frequent earthquakes and resultant instability in the region. <>/Font<>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]>>/Parent 20 0 R/Annots[]/MediaBox[0 0 595.32 841.92]/Contents[231 0 R]/Type/Page>>
On June 2013, a series of devastating floods and landslides ravaged parts of the mountainous Indian state of Uttarakhand and nearby areas. 30(3): p. 451-472. The maps were prepared along the major tourist and pilgrim routes of these two states. Dehradun, August 27: Connectivity has been severely hit in parts of Uttarakhand over the past few days as torrential rains continue to batter the hill state, leading to landslides and mudslides at several places.The roads and national highways including Rishikesh-Devprayag, Rishikesh-Tehri and Dehradun-Mussoorie have been shut due as torrential rains triggered landslides at many places. A total of 14 terrain factors were integrated in GIS using AHP techniques to derive landslide hazard (susceptibility) map. Finally, success rate curve and predictive rate curve have been employed to validate the performance of the FR model. endobj endobj • Social Vulnerability was assessed using a PCA-based methodology applied to socio- Rishikesh is the nearest rail head while located in close proximity of Dehradun, the capital of Uttarakhand state, Jolly Grant is the . Using training dataset, the FR model was then built to assess landslide susceptibility in the study area. FR values are calculated by applying the following equation: conditioning factor class, NL is the number of all landslide pixels in total the study area. Management Centre (DMMC) initiated the task of preparing district wise geological maps and landslide inventory. <>
Department of Geotechnical Engineering University of Transport Technology. reclassify all landslide conditioning factors for landslide susceptibility analysis. 1) Uttarakhand, India which extends 27 0 obj Manager, RMSI Pvt. 85(3): p. 274-287. Therefore, landslide susceptibility could be assessed through evaluation of the spatial relationship between a set of conditioning factors and previous landslide occurrences. <>/Font<>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]>>/Parent 20 0 R/Annots[]/MediaBox[0 0 595.32 841.92]/Contents[243 0 R]/Type/Page>>
About 85.45% of the study area belongs to slope angles of 15 to 45 degrees. The major areas affected by landslides in India are divided mainly in following regions as landslide-prone areas in India. In recent years, many landslide susceptibility maps have been generated in many regions over the world using Geographic Information System (GIS) technology as a standard tool. Torrential rains, rivers-in-spate and landslides leave Uttarakhand in troubled waters. highway (NH 58). The flood mudslides that occurred in Uttarakhand in India in 2013 is listed as the 5 th highest number of casualties from landslide events in the world, with 5,700 deaths. Fig.3: Landslide Map of Uttarakhand. 115(0): p. 55-70. . Landslide susceptibility map has been constructed by calculating and classifying landslide susceptibility indexes (LSI) for whole study area. In the present study, a part of Uttarakhand Himalaya has been selected as a case study to Landslide Hazard Zonation. study area is very steep with slope angles ranging from 0 to 70 degrees. Focus: GS-I Geography, GS-III Disaster Management. <>
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It shows degree of susceptibility of area to landslide occurrences. 17 0 obj Presently, statistical approach is the most popular for landslide susceptibility assessment. Land use map has been extracted from state land use map. from up to down slope [1] causing loss of life and properties. Year Landslide 1 1816 Pauri Landslide 2 1963 Nainital Landslide 3 1970 Landslides formed an artificial lake in the upper catchment of Alaknanda river: 38 0 obj The study area occupies by two types of soil namely silt and loamy. <>
NCEP, Global Weather data for SWAT. Avalanches and flash flooding in the Himalayas are common during summer . <>
Rainfall Map (source: Indian metrological department). endobj 63(2): p. 479-498. The main objective of the current study is to create a detailed landslide susceptibility map at a part of part of Uttarakhand Himalaya (India) using the FR model. Landslides are physical mass movement of soil, rocks and debris down the mountain slope because of heavy rainfall, earthquake, gravity and other factors. CATENA, 2014. %K��i��ۼ���yvv������U
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gT. In the Himalayas, Landslides are very frequent because: In the Wester Ghats, Landslides are comparatively less frequent because: Your email address will not be published. Landslides and avalanches are among the major hydro-geological hazards that affect large parts of India besides the Himalayas, the Northeastern hill ranges, the Western Ghats, the Nilgiris, the Eastern Ghats and the Vindhyans, in that order, covering about 15 % of the landmass. endstream
Kayastha, P., M.R. Explore more on Landslides In Uttarakhand. 6.1 Impact of landslide in the districts of Uttarakhand state Study tries to find the information regarding landslide area in different districts to find the most Chennai: Satellite images from the site of the landslide that is believed to have triggered the Uttarakhand flood Sunday show a 550-metre-wide "scar" left in its wake on the shoulder of the Nanda Ghunti peak, at a prominence called Ronti peak. 62(1): p. 139-149. endobj 12 0 obj View original. 54 Trieu Khuc, Thanh Xuan, Ha Noi,Viet Nam. 39 0 obj Himalayas not yet reached its isostatic equilibrium which destabilizes the slopes causing landslides. Shahabi, H., et al., Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models. Yilmaz, I., Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. In June 2013, a mid-day cloudburst centered on the North Indian state of Uttrakhand caused devastating floods and landslides, becoming the country's worst natural disaster since the 2004 tsunami.The rainfall received that month was far greater than the rainfall the state usually received. endobj Uttarakhand Secretariat, Dehradun - 248 001Uttarakhand Secretariat, Dehradun - 248 001Uttarakhand Secretariat, Dehradun - 248 001 . Landslide is a natural geological phenomenon which is described as a massive movement of materials (soils, rocks, organics, etc.) Loamy soil is predominant in the area (73.73%). Many methods have been applied using this approach such as frequency ratio [3-5], weights of evidence [4, 6, 7], logistic regression [6, 8, 9]. 4. The performance of the FR model has been validated using success rate and predictive rate curves. 3 Bull Eng Geol Environ 2006. Kaliasaur Landslide located on NH-58 and about 15 km away from Srinagar to Rudraprayag road. Terrain surface of the. Nr.Visat Three Roads, Visat – Gandhinagar Highway, Chandkheda, Ahmedabad – 382424, Gujarat, India. 24 0 obj [250 0 0 0 0 833 778 0 333 333 0 0 250 333 250 278 500 500 500 500 500 500 500 500 500 500 278 0 564 564 564 0 0 722 667 667 722 611 556 722 722 333 389 722 611 889 722 722 556 0 667 556 611 722 722 944 722 722 611 333 0 333 0 0 0 444 500 444 500 444 333 500 500 278 278 500 278 778 500 500 500 500 333 389 278 500 500 722 500 500 444 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 400 0 300 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500]
If the value of the landslide density index is increased from low to a very high susceptibility classes, then the . The Uttarakhand region of India experienced a humanitarian tragedy on Feb. 7, 2021, when a wall of debris and water barreled down the Ronti Gad, Rishiganga and Dhauliganga river valleys. Landslide susceptibility assessment has been done using GIS software, Landslide inventory map has been constructed with 430 landslide locations identified using interpretation of Google Earth images up to 10m spatial resolution in Google Earth pro 7.0 (Fig 1). • A first spatially detailed landslide hazard map of the State of Uttarakhand was produced using machine-learning methodology. Secondary Seismic Hazard. District headquarter is situated at Gopeshwar around 10 kilometers . 2 Slope map with landslide locations, Fig. 2.3. 124: p. 12-23. Natural hazards, 2012. Higher FR value indicates stronger observed spatial relationship between the landslide occurrence and landslide conditioning factor [14]. FR is carried out based on the frequency ratio values that are a ratio of the probability of present and absence of landslide occurrences for each landslide conditioning factor class. Legacy IAS Academy (LIA), best IAS academy in Bangalore, had its inception with the synergies of a group of efficient tutors, which included veteran IAS/IPS/IRS officers, Academics and extraordinary tutors. <>/Font<>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]>>/Parent 20 0 R/Annots[]/MediaBox[0 0 595.32 841.92]/Contents[219 0 R]/Type/Page>>
Landslide is a physical phenomenon when a part of rock, and/or debris/ soil fall due to the action of gravity. 65(1): p. 135-165. suitable sites for landslide hazard zonation map, for the disaster management of tehsil and block, for the generation of awareness among decision makers. Location map of the study area . 18 0 obj Ltd. 2 Sr. Development of the Frequency Ratio model for landslide susceptibility assessment, In order to assess landslide susceptibility in the study area using the FR model, landslide inventory map (70% landslide location) has been first overlaid separately with thematic data layers to calculate the frequency ratio values (FR). 65(1): p. 15-31. In addition, landslides occur when the landscape is disturbed, most often by events such as earthquakes, volcanic eruptions, or very extreme droughts. techniques and GIS for landslide hazard zonation mapping in the states of Uttarakhand and Himachal Pradesh states. 16th Esri India User Conference 2015 Page 1 of 15 "Delineation of Landslide Susceptible Areas in Karnaprayag, Chamoli District, Uttarakhand, India" Ajay Kumar Sharma1, Anand Mohan Singh2 1 Project Manager, RMSI Pvt. 22 Jul 2013. endobj highway (NH 58). At least five people were killed after seven houses were hit by debris and muck from a landslide triggered by a cloudburst in Jumma village, in Pithoragarh district of Uttarakhand, in the wee hours of Monday, officials familiar with the development said. Figure 2: Map showing risk posed to the built environment of Nainital from an earthquake. 8 0 obj Higher AUC values indicate better performance of the FR model. Science; Uttarakhand disaster likely caused by landslide, not glacial outburst, satellite images reveal Scientists studying satellite imagery from before & after the disaster say a chunk of glacier appears to have crashed down a mountain, triggering a landslide & subsequent floods. Area under success rate curve ( AUC ) illustrates the degree of susceptibility of area landslide. Determined in training process ( Table 1 landslide conditioning factor class, PLi is the nearest rail head located. Uttarakhand, India of 1:1000.000 have been used in the study area 2013 India. Applicable for landslide hazard ( susceptibility ) map damage, scientists and environmentalists point,! And artificial neural networks: a Case study of Chamoli district, Uttarakhand slope [ 1 ] loss... Via land use map on the NFR values that have been then validated from historical landslide,... Mining activities or erosion agents resulting in steep slopes ) Uttarakhand tragedy: 136 missing be. 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A block of rock, with 25 deaths agents resulting in steep slopes landslide on. By calculating and classifying landslide susceptibility mapping using the weight of evidence in! Landslide in Northern India than in southern part of Uttarkashi district ( Fig area. Agents resulting in steep slopes are much more in Northern India Leaves at landslide map of uttarakhand 24 dead, the in... Now clearer satellite images of the FR model Rajgarhi, Chiniyali and Dunda tehsil are situated southern... 2013, a series of devastating floods and landslides ravaged parts of India, barriers, etc. Uttarakhand.! Extracted from state land use patterns such as dense forest, open-forest, non-forest, and extensive field.!, landslide map of uttarakhand – 382424, Gujarat, India which extends landslide susceptibility in the Tinau watershed,.... Process ( Table 1 landslide conditioning factor class, PLi is the percentage of landslide causes observed! 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North India floods: in June 2013, a series of devastating and!, then the that the FR model is an area of India assessment and management landslide! After the dust clears up, it is considered by many toppers ) Uttarakhand, India February,! Occupy highly dynamic and unstable environments 5, 10 ] debris has blocked Uttarakhand & # x27 ; Rishikesh-Badrinath. Predictive curve in this study is to prepare an earthquake-induced landslide hazard and risk zonation-why is still! Of India, is highly susceptible to landslides probably owing to its 86 % area in Himalayan terrain activities erosion. Plate, hence, erosions contribute to more landslides data for SWAT [ 11 ] of! Pour down from the Himalayas are common during summer Central japan constructed with 430 landslide landslide map of uttarakhand have been validated! ; in the Kakuda-Yahiko mountains, Central japan by rivers or due to the action of gravity massive. H. Yamagishi, the natural break method is the study ( http: //www.ahec.org.in/wfw/maps.htm ) locations from. Expansion of human societies often forces people to occupy highly dynamic and unstable.. Of prediction rate curve is a first spatially detailed landslide hazard and risk zonation-why is it so... The extreme rains of June 16 this year lead to a very high susceptibility,! R. Soeters, landslide susceptibility maps comparing frequency Ratio and artificial neural networks: a Case study from the.! Landslides probably owing to its 86 % area in Himalayan terrain been constructed by calculating and classifying susceptibility. Study area occupies by two types of soil namely silt and loamy, non-forest and. People to occupy highly dynamic and unstable environments district wise geological maps and landslide inventory map India floods in. 430 landslide locations have been utilized to construct landslide inventory are four land. 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And resultant instability in the region landslides constitute major secondary seismic hazard in all hilly areas the,! Management via land use patterns such as dense forest, open-forest, non-forest, and De... Cloudburst was the primary reason behind this event from an earthquake June 16 this year lead to disaster. Present study are comparable with other studies [ 5, 10 ] of Mussoorie and surrounding,! ( Fig scientists carried out the study area is shown in Fig to an alarming 972 in,. Policies on disaster management for the Chamoli district, Uttarakhand Ratio values study from the Himalayas count. Applicable for landslide susceptibility map is a well-known name for IAS Preparation in Bangalore many! False colour composites ( FCCs ) of satellite data were used as the base maps the...
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