Soil erosion risk assessment and its impact on landslides – A study on parts of Himalayan Region, India

The research carried out reveals the annual soil erosion risk assessment and its relation in landslide vulnerability in the Shimla tehsil, Himachal Pradesh, India. The study area has a geographical area of 368 km2. Datasets such as Survey of India topographical maps, Soil maps from Soil and Landuse...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Prakasam, C., Aravinth, R., Kanwar, Varinder S., Nagarajan, B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page
container_title
container_volume 2451
creator Prakasam, C.
Aravinth, R.
Kanwar, Varinder S.
Nagarajan, B.
description The research carried out reveals the annual soil erosion risk assessment and its relation in landslide vulnerability in the Shimla tehsil, Himachal Pradesh, India. The study area has a geographical area of 368 km2. Datasets such as Survey of India topographical maps, Soil maps from Soil and Landuse Survey of India (SLUSI), rainfall datasets from Shimla meteorological centre and LANDSAT 8 imageries have been used to retrieve the annual soil loss. Landslide inventories have been collected from 2000 to 2020 through LANDSAT 8 OLI, Sentinel 2A and Google Earth satellite imageries. The datasets have been processed in the GIS environment and the final results have been cross-correlated with the landslide inventories to evaluate the relationship between soil erosion and landslide vulnerability. The rate of soil erosion was differentiated into five classes ranging from 0.03 to 2.1, where 0.03 represents the least amount of soil erosion and 2.1 represents the highest amount of soil erosion. The values less than 0.1 were observed all through the places covering forest and slope areas which is least prone to soil erosion. The values between 0.12 to 0.5 indicate medium to high stage soil erosion. These areas cover agricultural fields, degraded forests and forest blanks. The areas with the highest amount of erosion were observed along with the Barren lands and Built-up lands where the rate of erosion exceeds more than 30. A total of 96 landslides were mapped from the Google earth imageries for the year 2017. Among these landslides, nearly 79.1% occur along the Very low rate of soil erosion and 20.8% occurred along the low rate of soil erosion. The landslides are clustered in the study area mainly located along populated areas such as Shimla Town, Mashbora, Dhalli etc. Some of the landslides are located along the National highway extending between Rampur to Shimla.
doi_str_mv 10.1063/5.0095256
format Conference Proceeding
fullrecord <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_proquest_journals_2722587458</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2722587458</sourcerecordid><originalsourceid>FETCH-LOGICAL-p133t-b7713cf5d33f4232479e37b9079f6d147df4345338668da91d6894378e80a0913</originalsourceid><addsrcrecordid>eNotkMtKA0EURBtRMEYX_kGDO3Fivx_LENQEAoIPcDd00j3ScTIzzu0sZuc_-Id-iR2S1YW6h6qiELqmZEKJ4vdyQoiVTKoTNKJS0kIrqk7RKKuiYIJ_nKMLgA0hzGptRii-trHGoW8htg3uI3xhBxAAtqFJ2DUexwQ4bju3TjgTdZagjj4A_vv5xVMMaeeH_adzfSbbCs_j1tVucA1-CZ_Z9Q4vGh_dJTqrXA3h6njH6P3x4W02L5bPT4vZdFl0lPNUrLSmfF1Jz3klGGdC28D1yhJtK-Wp0L4SXEjOjVLGO0u9MlZwbYIhjljKx-jm4Nv17fcuQCo37a5vcmTJNGPSaCFNpm4PFKxjcinXLLs-F--HkpJyP2Upy-OU_B8Ms2UV</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2722587458</pqid></control><display><type>conference_proceeding</type><title>Soil erosion risk assessment and its impact on landslides – A study on parts of Himalayan Region, India</title><source>AIP Journals Complete</source><creator>Prakasam, C. ; Aravinth, R. ; Kanwar, Varinder S. ; Nagarajan, B.</creator><contributor>Srivastav, Arun Lal ; Dutt, Ishwar ; Sharma, Sita Ram ; Kumar, Ashok ; Taneja, Ashu ; Gupta, Madhu ; Kumra, Neha ; Batra, Shefali</contributor><creatorcontrib>Prakasam, C. ; Aravinth, R. ; Kanwar, Varinder S. ; Nagarajan, B. ; Srivastav, Arun Lal ; Dutt, Ishwar ; Sharma, Sita Ram ; Kumar, Ashok ; Taneja, Ashu ; Gupta, Madhu ; Kumra, Neha ; Batra, Shefali</creatorcontrib><description>The research carried out reveals the annual soil erosion risk assessment and its relation in landslide vulnerability in the Shimla tehsil, Himachal Pradesh, India. The study area has a geographical area of 368 km2. Datasets such as Survey of India topographical maps, Soil maps from Soil and Landuse Survey of India (SLUSI), rainfall datasets from Shimla meteorological centre and LANDSAT 8 imageries have been used to retrieve the annual soil loss. Landslide inventories have been collected from 2000 to 2020 through LANDSAT 8 OLI, Sentinel 2A and Google Earth satellite imageries. The datasets have been processed in the GIS environment and the final results have been cross-correlated with the landslide inventories to evaluate the relationship between soil erosion and landslide vulnerability. The rate of soil erosion was differentiated into five classes ranging from 0.03 to 2.1, where 0.03 represents the least amount of soil erosion and 2.1 represents the highest amount of soil erosion. The values less than 0.1 were observed all through the places covering forest and slope areas which is least prone to soil erosion. The values between 0.12 to 0.5 indicate medium to high stage soil erosion. These areas cover agricultural fields, degraded forests and forest blanks. The areas with the highest amount of erosion were observed along with the Barren lands and Built-up lands where the rate of erosion exceeds more than 30. A total of 96 landslides were mapped from the Google earth imageries for the year 2017. Among these landslides, nearly 79.1% occur along the Very low rate of soil erosion and 20.8% occurred along the low rate of soil erosion. The landslides are clustered in the study area mainly located along populated areas such as Shimla Town, Mashbora, Dhalli etc. Some of the landslides are located along the National highway extending between Rampur to Shimla.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0095256</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Barren lands ; Datasets ; Erosion rates ; Landsat satellites ; Landslides ; Landslides &amp; mudslides ; Rainfall ; Risk assessment ; Soil erosion ; Soil maps</subject><ispartof>AIP conference proceedings, 2022, Vol.2451 (1)</ispartof><rights>Author(s)</rights><rights>2022 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/acp/article-lookup/doi/10.1063/5.0095256$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,790,4498,23909,23910,25118,27901,27902,76127</link.rule.ids></links><search><contributor>Srivastav, Arun Lal</contributor><contributor>Dutt, Ishwar</contributor><contributor>Sharma, Sita Ram</contributor><contributor>Kumar, Ashok</contributor><contributor>Taneja, Ashu</contributor><contributor>Gupta, Madhu</contributor><contributor>Kumra, Neha</contributor><contributor>Batra, Shefali</contributor><creatorcontrib>Prakasam, C.</creatorcontrib><creatorcontrib>Aravinth, R.</creatorcontrib><creatorcontrib>Kanwar, Varinder S.</creatorcontrib><creatorcontrib>Nagarajan, B.</creatorcontrib><title>Soil erosion risk assessment and its impact on landslides – A study on parts of Himalayan Region, India</title><title>AIP conference proceedings</title><description>The research carried out reveals the annual soil erosion risk assessment and its relation in landslide vulnerability in the Shimla tehsil, Himachal Pradesh, India. The study area has a geographical area of 368 km2. Datasets such as Survey of India topographical maps, Soil maps from Soil and Landuse Survey of India (SLUSI), rainfall datasets from Shimla meteorological centre and LANDSAT 8 imageries have been used to retrieve the annual soil loss. Landslide inventories have been collected from 2000 to 2020 through LANDSAT 8 OLI, Sentinel 2A and Google Earth satellite imageries. The datasets have been processed in the GIS environment and the final results have been cross-correlated with the landslide inventories to evaluate the relationship between soil erosion and landslide vulnerability. The rate of soil erosion was differentiated into five classes ranging from 0.03 to 2.1, where 0.03 represents the least amount of soil erosion and 2.1 represents the highest amount of soil erosion. The values less than 0.1 were observed all through the places covering forest and slope areas which is least prone to soil erosion. The values between 0.12 to 0.5 indicate medium to high stage soil erosion. These areas cover agricultural fields, degraded forests and forest blanks. The areas with the highest amount of erosion were observed along with the Barren lands and Built-up lands where the rate of erosion exceeds more than 30. A total of 96 landslides were mapped from the Google earth imageries for the year 2017. Among these landslides, nearly 79.1% occur along the Very low rate of soil erosion and 20.8% occurred along the low rate of soil erosion. The landslides are clustered in the study area mainly located along populated areas such as Shimla Town, Mashbora, Dhalli etc. Some of the landslides are located along the National highway extending between Rampur to Shimla.</description><subject>Barren lands</subject><subject>Datasets</subject><subject>Erosion rates</subject><subject>Landsat satellites</subject><subject>Landslides</subject><subject>Landslides &amp; mudslides</subject><subject>Rainfall</subject><subject>Risk assessment</subject><subject>Soil erosion</subject><subject>Soil maps</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2022</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotkMtKA0EURBtRMEYX_kGDO3Fivx_LENQEAoIPcDd00j3ScTIzzu0sZuc_-Id-iR2S1YW6h6qiELqmZEKJ4vdyQoiVTKoTNKJS0kIrqk7RKKuiYIJ_nKMLgA0hzGptRii-trHGoW8htg3uI3xhBxAAtqFJ2DUexwQ4bju3TjgTdZagjj4A_vv5xVMMaeeH_adzfSbbCs_j1tVucA1-CZ_Z9Q4vGh_dJTqrXA3h6njH6P3x4W02L5bPT4vZdFl0lPNUrLSmfF1Jz3klGGdC28D1yhJtK-Wp0L4SXEjOjVLGO0u9MlZwbYIhjljKx-jm4Nv17fcuQCo37a5vcmTJNGPSaCFNpm4PFKxjcinXLLs-F--HkpJyP2Upy-OU_B8Ms2UV</recordid><startdate>20221007</startdate><enddate>20221007</enddate><creator>Prakasam, C.</creator><creator>Aravinth, R.</creator><creator>Kanwar, Varinder S.</creator><creator>Nagarajan, B.</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20221007</creationdate><title>Soil erosion risk assessment and its impact on landslides – A study on parts of Himalayan Region, India</title><author>Prakasam, C. ; Aravinth, R. ; Kanwar, Varinder S. ; Nagarajan, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p133t-b7713cf5d33f4232479e37b9079f6d147df4345338668da91d6894378e80a0913</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Barren lands</topic><topic>Datasets</topic><topic>Erosion rates</topic><topic>Landsat satellites</topic><topic>Landslides</topic><topic>Landslides &amp; mudslides</topic><topic>Rainfall</topic><topic>Risk assessment</topic><topic>Soil erosion</topic><topic>Soil maps</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prakasam, C.</creatorcontrib><creatorcontrib>Aravinth, R.</creatorcontrib><creatorcontrib>Kanwar, Varinder S.</creatorcontrib><creatorcontrib>Nagarajan, B.</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prakasam, C.</au><au>Aravinth, R.</au><au>Kanwar, Varinder S.</au><au>Nagarajan, B.</au><au>Srivastav, Arun Lal</au><au>Dutt, Ishwar</au><au>Sharma, Sita Ram</au><au>Kumar, Ashok</au><au>Taneja, Ashu</au><au>Gupta, Madhu</au><au>Kumra, Neha</au><au>Batra, Shefali</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Soil erosion risk assessment and its impact on landslides – A study on parts of Himalayan Region, India</atitle><btitle>AIP conference proceedings</btitle><date>2022-10-07</date><risdate>2022</risdate><volume>2451</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>The research carried out reveals the annual soil erosion risk assessment and its relation in landslide vulnerability in the Shimla tehsil, Himachal Pradesh, India. The study area has a geographical area of 368 km2. Datasets such as Survey of India topographical maps, Soil maps from Soil and Landuse Survey of India (SLUSI), rainfall datasets from Shimla meteorological centre and LANDSAT 8 imageries have been used to retrieve the annual soil loss. Landslide inventories have been collected from 2000 to 2020 through LANDSAT 8 OLI, Sentinel 2A and Google Earth satellite imageries. The datasets have been processed in the GIS environment and the final results have been cross-correlated with the landslide inventories to evaluate the relationship between soil erosion and landslide vulnerability. The rate of soil erosion was differentiated into five classes ranging from 0.03 to 2.1, where 0.03 represents the least amount of soil erosion and 2.1 represents the highest amount of soil erosion. The values less than 0.1 were observed all through the places covering forest and slope areas which is least prone to soil erosion. The values between 0.12 to 0.5 indicate medium to high stage soil erosion. These areas cover agricultural fields, degraded forests and forest blanks. The areas with the highest amount of erosion were observed along with the Barren lands and Built-up lands where the rate of erosion exceeds more than 30. A total of 96 landslides were mapped from the Google earth imageries for the year 2017. Among these landslides, nearly 79.1% occur along the Very low rate of soil erosion and 20.8% occurred along the low rate of soil erosion. The landslides are clustered in the study area mainly located along populated areas such as Shimla Town, Mashbora, Dhalli etc. Some of the landslides are located along the National highway extending between Rampur to Shimla.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0095256</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0094-243X
ispartof AIP conference proceedings, 2022, Vol.2451 (1)
issn 0094-243X
1551-7616
language eng
recordid cdi_proquest_journals_2722587458
source AIP Journals Complete
subjects Barren lands
Datasets
Erosion rates
Landsat satellites
Landslides
Landslides & mudslides
Rainfall
Risk assessment
Soil erosion
Soil maps
title Soil erosion risk assessment and its impact on landslides – A study on parts of Himalayan Region, India
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T23%3A53%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Soil%20erosion%20risk%20assessment%20and%20its%20impact%20on%20landslides%20%E2%80%93%20A%20study%20on%20parts%20of%20Himalayan%20Region,%20India&rft.btitle=AIP%20conference%20proceedings&rft.au=Prakasam,%20C.&rft.date=2022-10-07&rft.volume=2451&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/5.0095256&rft_dat=%3Cproquest_scita%3E2722587458%3C/proquest_scita%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2722587458&rft_id=info:pmid/&rfr_iscdi=true