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10.46243/jstj.2020.v5.i2.282 registered

Landslide Inventory along newly Constructed Ghat road secetion at Vathalmalai Hills, Tamil Nadu, India

Resolves to https://www.jst.org.in/index.php/pub/article/view/1006

Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jstj.2020.v5.i2.282

Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 51cf0a6dcf565823…

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What the DOI identifies

JournalArticle — an article in a journal · Digital · Visual · en

Landslide Inventory along newly Constructed Ghat road secetion at Vathalmalai Hills, Tamil Nadu, India (PrincipalTitle)

Published 2020

Part of Journal of Science & Technology · ISSN 2456-5660 · volume 05 · issue 02 · pages 90–98

Agents

  • G Kavitha (author)
  • S Anbazhagan (author)
  • S Mani (author)
  • Longman Publishers (publisher)

Identifiers DOI 10.46243/jstj.2020.v5.i2.282

Abstract

The study aims to conduct landslide inventory and calculate the area and volume of landslide material from the geometrical measurements of landslides occurred at Vathalmalai hills, Dharmapuri district, Tamil Nadu, The study area located in a semi tropical region,India. Empirical relationship was derived between volume estimation and other parameters through the Person correlation coefficient model. Field data were collected through extensive field surveys and using the satellite data. The correlation between the areaunder landslideand volume of landslide material was studied using different curve estimation models. Various statistical parameters were calculated to relate the models with each other. Among various results, the power of law matches the recordsbetter. While, next to power law fit compound, growth and Exponential show high R2 value and low F statistic and less RMSE value. The correlationbetween areaand volume of landslides determined V=0.492A1.224 for 10 landslide locations of the slide areain Vathalmalai. The landslide modeling shows that high R2value in power law from 0.90, while it decreased as 0.83 in compound, growth and exponential. It significantly low in inverse model (0.48). According to the suggested relation, the mean of the average depth of landslides was assessed as 1.839 m which was near to mean of actual depth of 2.0 m.

Licence https://creativecommons.org/licenses/by/4.0/

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.

ElementValueIn the record
DOI Name
DOI name
10.46243/jstj.2020.v5.i2.282doi
Referent Type
referentType
Creationreferent
Referent Sub-Type
referentSubType
JournalArticle — an article in a journaltype
Referent Name(s)
referentName(s)
Landslide Inventory along newly Constructed Ghat road secetion at Vathalmalai Hills, Tamil Nadu, India (PrincipalTitle, en)titles
Basic Metadata
basicMetadata
author: G Kavitha
author: S Anbazhagan
author: S Mani
publisher: Longman Publishers
published: 2020
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 05 · no. 02 · pp. 90–98
language: en
form: Digital · Visual · Language
agents, dates, container, language, structural_type, modes, characters
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOIidentifiers, relations (IsSameAs)
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copyrecord.source_agency (our code, ra_doi_name, for names issued here once appointed)
Created Date
issueDate
2026-09-08record.registered (when the DOI name was first registered)
relatedIdentifiersnone needed — the descriptive metadata is in this recordcontainer, relations (only where the descriptive metadata lives at another identifier)

complete Every System Metadata element is here, with the basic metadata a journal article needs.

The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs

History — the ledger

Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.

#WhenWhatByChanges
129 Sep 2026, 10:00 PMregister
registered at Crossref; record read from api.crossref.org
Administrator (admin) 163 fields set · sha256 421c222463b4…
229 Sep 2026, 11:59 PMupdate
record re-read from api.crossref.org
Administrator (admin)
container.titles.0.value: Journal of Science & Technology → Journal of Science & Technology

Machine-readable: the history as JSON, with the full record after each change.

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