Information value based landslide susceptibility zonation of Dharamshala region, northwestern Himalaya, India View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-06

AUTHORS

Swati Sharma, A. K. Mahajan

ABSTRACT

This study investigates the application of statistical information value method (In V) for landslide susceptibility zonation of Dharamshala region, Kangra valley of Himachal Pradesh, India. The study area witnesses a number of landslides due to the prevailing factors such as slope angle, aspect, lithology, soil type, land use pattern, drainage density, and fault density. A landslide inventory map was prepared for the study area to understand the spatial distribution of landslides and their correlation with the prevailing causal factors. The mapped landslides covered an area of approximately 1.1 km2 (landslide training data 0.66 km2 and testing data 0.44 km2) out of the total study area (39.3 km2). Degree of correlation of the causal factors with the mapped landslides was inferred using the bivariate statistical information value (In V) method. The results show that, VHS zone has 0.65 km2 landslide affected area whereas, the HS zone has 0.01 km2 landslide affected area which means that the complete landslide training data (0.66 km2) falls in the HS and VHS zones. The performance of the landslide susceptibility zonation map for predicting the future landslide events was inferred based on the prediction rate curve which gave 0.96 area under curve value. More... »

PAGES

1-12

References to SciGraph publications

  • 1999-08. Landslide hazard assessment: summary review and new perspectives in BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
  • 2011-05. Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: a case study from the Eastern Achaia County of Peloponnesus, Greece in ENVIRONMENTAL EARTH SCIENCES
  • 2009-05. Causes of large-scale landslides in the Lesser Himalaya of central Nepal in ENVIRONMENTAL GEOLOGY
  • 2008-02. GIS-based landslide hazard zonation: a case study from the Parwanoo area, Lesser and Outer Himalaya, H.P., India in BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
  • 2005-04. An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas in LANDSLIDES
  • 2015-12. Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim in GEOENVIRONMENTAL DISASTERS
  • 2016-05. A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS in ENVIRONMENTAL EARTH SCIENCES
  • 2004-03. Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan in LANDSLIDES
  • 2015-11. Rainfall and anthropogenically accelerated mass movement in the Outer Himalaya, north of Dharamshala town, Kangra district, Himachal Pradesh: A cause of concern in JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
  • 2013-10. Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas in JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
  • 2010-03. Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia in LANDSLIDES
  • 2018-02. Significance of variable selection and scaling issues for probabilistic modeling of rainfall-induced landslide susceptibility in SPATIAL INFORMATION RESEARCH
  • 2007-10. Trends in landslide occurrence in Nepal in NATURAL HAZARDS
  • 2012-01. Macro-zonation of landslide susceptibility in Garamaura-Swarghat-Gambhar section of national highway 21, Bilaspur District, Himachal Pradesh (India) in NATURAL HAZARDS
  • 2008-11. Evaluating cut slope failure by numerical analysis—a case study in NATURAL HAZARDS
  • 1991-04. A simple definition of a landslide in BULLETIN OF THE INTERNATIONAL ASSOCIATION OF ENGINEERING GEOLOGY
  • 2003-11. Validation of Spatial Prediction Models for Landslide Hazard Mapping in NATURAL HAZARDS
  • 2006-05. Formation and failure of the Tsatichhu landslide dam, Bhutan in LANDSLIDES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s41324-019-00259-z

    DOI

    http://dx.doi.org/10.1007/s41324-019-00259-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112587810


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0104", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Statistics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Mathematical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Central University of Himachal Pradesh", 
              "id": "https://www.grid.ac/institutes/grid.462327.6", 
              "name": [
                "School of Earth and Environmental Sciences, Central University of Himachal Pradesh, Dharamshala, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sharma", 
            "givenName": "Swati", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Central University of Himachal Pradesh", 
              "id": "https://www.grid.ac/institutes/grid.462327.6", 
              "name": [
                "School of Earth and Environmental Sciences, Central University of Himachal Pradesh, Dharamshala, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mahajan", 
            "givenName": "A. K.", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.geomorph.2011.04.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000766361"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.geomorph.2008.05.041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003734444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00254-008-1420-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011597993", 
              "https://doi.org/10.1007/s00254-008-1420-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.enggeo.2008.03.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012146663"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11069-006-9100-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013337352", 
              "https://doi.org/10.1007/s11069-006-9100-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:nhaz.0000007172.62651.2b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014927767", 
              "https://doi.org/10.1023/b:nhaz.0000007172.62651.2b"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-7952(92)90020-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015437374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-7952(92)90020-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015437374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.geomorph.2008.04.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019946490"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40677-014-0009-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023832909", 
              "https://doi.org/10.1186/s40677-014-0009-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40677-014-0009-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023832909", 
              "https://doi.org/10.1186/s40677-014-0009-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-010-0687-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024365241", 
              "https://doi.org/10.1007/s12665-010-0687-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0037-0738(92)90137-g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024428916"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0037-0738(92)90137-g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024428916"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12594-013-0162-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024756302", 
              "https://doi.org/10.1007/s12594-013-0162-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10346-004-0039-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024835677", 
              "https://doi.org/10.1007/s10346-004-0039-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10346-004-0039-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024835677", 
              "https://doi.org/10.1007/s10346-004-0039-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02590167", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028099084", 
              "https://doi.org/10.1007/bf02590167"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02590167", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028099084", 
              "https://doi.org/10.1007/bf02590167"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-555x(01)00087-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028117700"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10064-007-0113-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030601839", 
              "https://doi.org/10.1007/s10064-007-0113-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10064-007-0113-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030601839", 
              "https://doi.org/10.1007/s10064-007-0113-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01431160010014260", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032101771"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.geomorph.2006.12.036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034060667"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11069-011-0041-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035316586", 
              "https://doi.org/10.1007/s11069-011-0041-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10346-009-0183-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035393977", 
              "https://doi.org/10.1007/s10346-009-0183-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10346-009-0183-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035393977", 
              "https://doi.org/10.1007/s10346-009-0183-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10346-009-0183-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035393977", 
              "https://doi.org/10.1007/s10346-009-0183-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.enggeo.2008.03.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035628911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s100640050066", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036289094", 
              "https://doi.org/10.1007/s100640050066"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.14358/pers.70.5.617", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037932369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.geomorph.2004.06.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039776410"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12594-015-0347-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040333879", 
              "https://doi.org/10.1007/s12594-015-0347-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cageo.2012.11.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040545375"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-016-5317-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043247918", 
              "https://doi.org/10.1007/s12665-016-5317-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-016-5317-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043247918", 
              "https://doi.org/10.1007/s12665-016-5317-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10346-003-0006-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043706411", 
              "https://doi.org/10.1007/s10346-003-0006-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10346-005-0032-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045898977", 
              "https://doi.org/10.1007/s10346-005-0032-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10346-005-0032-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045898977", 
              "https://doi.org/10.1007/s10346-005-0032-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/nhess-6-237-2006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046267211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1130/0016-7606(1945)56[275:edosat]2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049350317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11069-008-9219-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052495238", 
              "https://doi.org/10.1007/s11069-008-9219-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0013-7952(96)00033-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052952017"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gsf.2017.10.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092460936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s41324-017-0154-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092953037", 
              "https://doi.org/10.1007/s41324-017-0154-y"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-03-06", 
        "datePublishedReg": "2019-03-06", 
        "description": "This study investigates the application of statistical information value method (In V) for landslide susceptibility zonation of Dharamshala region, Kangra valley of Himachal Pradesh, India. The study area witnesses a number of landslides due to the prevailing factors such as slope angle, aspect, lithology, soil type, land use pattern, drainage density, and fault density. A landslide inventory map was prepared for the study area to understand the spatial distribution of landslides and their correlation with the prevailing causal factors. The mapped landslides covered an area of approximately 1.1 km2 (landslide training data 0.66 km2 and testing data 0.44 km2) out of the total study area (39.3 km2). Degree of correlation of the causal factors with the mapped landslides was inferred using the bivariate statistical information value (In V) method. The results show that, VHS zone has 0.65 km2 landslide affected area whereas, the HS zone has 0.01 km2 landslide affected area which means that the complete landslide training data (0.66 km2) falls in the HS and VHS zones. The performance of the landslide susceptibility zonation map for predicting the future landslide events was inferred based on the prediction rate curve which gave 0.96 area under curve value.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s41324-019-00259-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1153043", 
            "issn": [
              "2366-3286", 
              "2366-3294"
            ], 
            "name": "Spatial Information Research", 
            "type": "Periodical"
          }
        ], 
        "name": "Information value based landslide susceptibility zonation of Dharamshala region, northwestern Himalaya, India", 
        "pagination": "1-12", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "f3d2952224b8f8232ecb442976af5f75f21a17d248a7d8f4b263a6402e99625c"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s41324-019-00259-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112587810"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s41324-019-00259-z", 
          "https://app.dimensions.ai/details/publication/pub.1112587810"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:09", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000353_0000000353/records_45339_00000002.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs41324-019-00259-z"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s41324-019-00259-z'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s41324-019-00259-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s41324-019-00259-z'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s41324-019-00259-z'


     

    This table displays all metadata directly associated to this object as RDF triples.

    183 TRIPLES      21 PREDICATES      59 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s41324-019-00259-z schema:about anzsrc-for:01
    2 anzsrc-for:0104
    3 schema:author N555ffc901df4410899c2653a7a4f4ff3
    4 schema:citation sg:pub.10.1007/bf02590167
    5 sg:pub.10.1007/s00254-008-1420-z
    6 sg:pub.10.1007/s10064-007-0113-2
    7 sg:pub.10.1007/s100640050066
    8 sg:pub.10.1007/s10346-003-0006-9
    9 sg:pub.10.1007/s10346-004-0039-8
    10 sg:pub.10.1007/s10346-005-0032-x
    11 sg:pub.10.1007/s10346-009-0183-2
    12 sg:pub.10.1007/s11069-006-9100-3
    13 sg:pub.10.1007/s11069-008-9219-5
    14 sg:pub.10.1007/s11069-011-0041-0
    15 sg:pub.10.1007/s12594-013-0162-z
    16 sg:pub.10.1007/s12594-015-0347-8
    17 sg:pub.10.1007/s12665-010-0687-z
    18 sg:pub.10.1007/s12665-016-5317-y
    19 sg:pub.10.1007/s41324-017-0154-y
    20 sg:pub.10.1023/b:nhaz.0000007172.62651.2b
    21 sg:pub.10.1186/s40677-014-0009-y
    22 https://doi.org/10.1016/0013-7952(92)90020-y
    23 https://doi.org/10.1016/0037-0738(92)90137-g
    24 https://doi.org/10.1016/j.cageo.2012.11.003
    25 https://doi.org/10.1016/j.enggeo.2008.03.010
    26 https://doi.org/10.1016/j.enggeo.2008.03.014
    27 https://doi.org/10.1016/j.geomorph.2004.06.010
    28 https://doi.org/10.1016/j.geomorph.2006.12.036
    29 https://doi.org/10.1016/j.geomorph.2008.04.013
    30 https://doi.org/10.1016/j.geomorph.2008.05.041
    31 https://doi.org/10.1016/j.geomorph.2011.04.019
    32 https://doi.org/10.1016/j.gsf.2017.10.008
    33 https://doi.org/10.1016/s0013-7952(96)00033-6
    34 https://doi.org/10.1016/s0169-555x(01)00087-3
    35 https://doi.org/10.1080/01431160010014260
    36 https://doi.org/10.1130/0016-7606(1945)56[275:edosat]2.0.co;2
    37 https://doi.org/10.14358/pers.70.5.617
    38 https://doi.org/10.5194/nhess-6-237-2006
    39 schema:datePublished 2019-03-06
    40 schema:datePublishedReg 2019-03-06
    41 schema:description This study investigates the application of statistical information value method (In V) for landslide susceptibility zonation of Dharamshala region, Kangra valley of Himachal Pradesh, India. The study area witnesses a number of landslides due to the prevailing factors such as slope angle, aspect, lithology, soil type, land use pattern, drainage density, and fault density. A landslide inventory map was prepared for the study area to understand the spatial distribution of landslides and their correlation with the prevailing causal factors. The mapped landslides covered an area of approximately 1.1 km2 (landslide training data 0.66 km2 and testing data 0.44 km2) out of the total study area (39.3 km2). Degree of correlation of the causal factors with the mapped landslides was inferred using the bivariate statistical information value (In V) method. The results show that, VHS zone has 0.65 km2 landslide affected area whereas, the HS zone has 0.01 km2 landslide affected area which means that the complete landslide training data (0.66 km2) falls in the HS and VHS zones. The performance of the landslide susceptibility zonation map for predicting the future landslide events was inferred based on the prediction rate curve which gave 0.96 area under curve value.
    42 schema:genre research_article
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf sg:journal.1153043
    46 schema:name Information value based landslide susceptibility zonation of Dharamshala region, northwestern Himalaya, India
    47 schema:pagination 1-12
    48 schema:productId N0f0262dd3de9431d968ed4a646b41f9b
    49 N28812411d5814ca093814f7129a3ae43
    50 N821f775be58c4de4a2fcefde9fbeb1fe
    51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112587810
    52 https://doi.org/10.1007/s41324-019-00259-z
    53 schema:sdDatePublished 2019-04-11T11:09
    54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    55 schema:sdPublisher N2cd247e72e52409b98ac561e6ff146a6
    56 schema:url https://link.springer.com/10.1007%2Fs41324-019-00259-z
    57 sgo:license sg:explorer/license/
    58 sgo:sdDataset articles
    59 rdf:type schema:ScholarlyArticle
    60 N0f0262dd3de9431d968ed4a646b41f9b schema:name readcube_id
    61 schema:value f3d2952224b8f8232ecb442976af5f75f21a17d248a7d8f4b263a6402e99625c
    62 rdf:type schema:PropertyValue
    63 N28812411d5814ca093814f7129a3ae43 schema:name doi
    64 schema:value 10.1007/s41324-019-00259-z
    65 rdf:type schema:PropertyValue
    66 N2be4ea597c0c46619688c11cbb525c78 schema:affiliation https://www.grid.ac/institutes/grid.462327.6
    67 schema:familyName Mahajan
    68 schema:givenName A. K.
    69 rdf:type schema:Person
    70 N2cd247e72e52409b98ac561e6ff146a6 schema:name Springer Nature - SN SciGraph project
    71 rdf:type schema:Organization
    72 N555ffc901df4410899c2653a7a4f4ff3 rdf:first Na9c1beab182e42669c4f462151815bcf
    73 rdf:rest Ncaeca3b4b413431e8fcf81277dfc48d4
    74 N821f775be58c4de4a2fcefde9fbeb1fe schema:name dimensions_id
    75 schema:value pub.1112587810
    76 rdf:type schema:PropertyValue
    77 Na9c1beab182e42669c4f462151815bcf schema:affiliation https://www.grid.ac/institutes/grid.462327.6
    78 schema:familyName Sharma
    79 schema:givenName Swati
    80 rdf:type schema:Person
    81 Ncaeca3b4b413431e8fcf81277dfc48d4 rdf:first N2be4ea597c0c46619688c11cbb525c78
    82 rdf:rest rdf:nil
    83 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
    84 schema:name Mathematical Sciences
    85 rdf:type schema:DefinedTerm
    86 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
    87 schema:name Statistics
    88 rdf:type schema:DefinedTerm
    89 sg:journal.1153043 schema:issn 2366-3286
    90 2366-3294
    91 schema:name Spatial Information Research
    92 rdf:type schema:Periodical
    93 sg:pub.10.1007/bf02590167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028099084
    94 https://doi.org/10.1007/bf02590167
    95 rdf:type schema:CreativeWork
    96 sg:pub.10.1007/s00254-008-1420-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1011597993
    97 https://doi.org/10.1007/s00254-008-1420-z
    98 rdf:type schema:CreativeWork
    99 sg:pub.10.1007/s10064-007-0113-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030601839
    100 https://doi.org/10.1007/s10064-007-0113-2
    101 rdf:type schema:CreativeWork
    102 sg:pub.10.1007/s100640050066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036289094
    103 https://doi.org/10.1007/s100640050066
    104 rdf:type schema:CreativeWork
    105 sg:pub.10.1007/s10346-003-0006-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043706411
    106 https://doi.org/10.1007/s10346-003-0006-9
    107 rdf:type schema:CreativeWork
    108 sg:pub.10.1007/s10346-004-0039-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024835677
    109 https://doi.org/10.1007/s10346-004-0039-8
    110 rdf:type schema:CreativeWork
    111 sg:pub.10.1007/s10346-005-0032-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045898977
    112 https://doi.org/10.1007/s10346-005-0032-x
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1007/s10346-009-0183-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035393977
    115 https://doi.org/10.1007/s10346-009-0183-2
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/s11069-006-9100-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013337352
    118 https://doi.org/10.1007/s11069-006-9100-3
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1007/s11069-008-9219-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052495238
    121 https://doi.org/10.1007/s11069-008-9219-5
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/s11069-011-0041-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035316586
    124 https://doi.org/10.1007/s11069-011-0041-0
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/s12594-013-0162-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1024756302
    127 https://doi.org/10.1007/s12594-013-0162-z
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/s12594-015-0347-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040333879
    130 https://doi.org/10.1007/s12594-015-0347-8
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/s12665-010-0687-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1024365241
    133 https://doi.org/10.1007/s12665-010-0687-z
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/s12665-016-5317-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1043247918
    136 https://doi.org/10.1007/s12665-016-5317-y
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/s41324-017-0154-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1092953037
    139 https://doi.org/10.1007/s41324-017-0154-y
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1023/b:nhaz.0000007172.62651.2b schema:sameAs https://app.dimensions.ai/details/publication/pub.1014927767
    142 https://doi.org/10.1023/b:nhaz.0000007172.62651.2b
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1186/s40677-014-0009-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1023832909
    145 https://doi.org/10.1186/s40677-014-0009-y
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1016/0013-7952(92)90020-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1015437374
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1016/0037-0738(92)90137-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1024428916
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1016/j.cageo.2012.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040545375
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1016/j.enggeo.2008.03.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012146663
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1016/j.enggeo.2008.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035628911
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1016/j.geomorph.2004.06.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039776410
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1016/j.geomorph.2006.12.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034060667
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1016/j.geomorph.2008.04.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019946490
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1016/j.geomorph.2008.05.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003734444
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1016/j.geomorph.2011.04.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000766361
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/j.gsf.2017.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092460936
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1016/s0013-7952(96)00033-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052952017
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1016/s0169-555x(01)00087-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028117700
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1080/01431160010014260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032101771
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1130/0016-7606(1945)56[275:edosat]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049350317
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.14358/pers.70.5.617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037932369
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.5194/nhess-6-237-2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046267211
    180 rdf:type schema:CreativeWork
    181 https://www.grid.ac/institutes/grid.462327.6 schema:alternateName Central University of Himachal Pradesh
    182 schema:name School of Earth and Environmental Sciences, Central University of Himachal Pradesh, Dharamshala, India
    183 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...