Cite this DOI
10.46243/jst.2021.v6.i04.pp188-194 · Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology
APA (7th edition)
Dr. Subhash, & V. Karande (2021). Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology. *Journal of Science & Technology*, *06*(04), 188–194. https://doi.org/10.46243/jst.2021.v6.i04.pp188-194
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{drsubhash2021landslide,
author = {Dr. Subhash and V. Karande},
title = {{Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology}},
journal = {Journal of Science \& Technology},
year = {2021},
month = {aug},
volume = {06},
number = {04},
pages = {188--194},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jst.2021.v6.i04.pp188-194},
url = {https://doi.org/10.46243/jst.2021.v6.i04.pp188-194},
language = {en},
abstract = {Western Ghats on the western part of the Indian peninsula is recognized as the most frequent landslides potential zone. South west monsoon rainfall is major triggered factors of the landslide. The present work is carried out to evaluate the landslide susceptibility of Mahabaleshwar tehsil of Satara district, Maharashtra, India using geospatial technique. Landslides are influenced by several natural and manmade factors, such as slope, rainfall, relief, lithology, soil depth, soil erosion, soil texture, land use / land cover, road distance, drainage distance, drainage density, lineament distance, lineament density, aspect, temperature, seismology. The weighted overlay methods and multi-criteria model in ArcGIS 10.5 software were used for the mapping landslide susceptible zones. The landslide susceptible zones are classified into six classes: very high (0.3 \%), high (2.2 \%), moderate (6.4 \%), low (14.2 \%) very low (20.7 \%) and no risk zone (56.2 \%). Out of the total 113 villages of the tehsil, the study identified 06 villages are situated in very high, 18 in high, 13 in moderate, 19 in low and 17 in very low risk zones. The study has significant for the prevention and mitigation of the high landslide potential villages in the study area}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology AU - Dr. Subhash AU - V. Karande JO - Journal of Science & Technology PY - 2021 DA - 2021/08/31/ VL - 06 IS - 04 SP - 188 EP - 194 PB - Longman Publishers SN - 2456-5660 LA - en AB - Western Ghats on the western part of the Indian peninsula is recognized as the most frequent landslides potential zone. South west monsoon rainfall is major triggered factors of the landslide. The present work is carried out to evaluate the landslide susceptibility of Mahabaleshwar tehsil of Satara district, Maharashtra, India using geospatial technique. Landslides are influenced by several natural and manmade factors, such as slope, rainfall, relief, lithology, soil depth, soil erosion, soil texture, land use / land cover, road distance, drainage distance, drainage density, lineament distance, lineament density, aspect, temperature, seismology. The weighted overlay methods and multi-criteria model in ArcGIS 10.5 software were used for the mapping landslide susceptible zones. The landslide susceptible zones are classified into six classes: very high (0.3 %), high (2.2 %), moderate (6.4 %), low (14.2 %) very low (20.7 %) and no risk zone (56.2 %). Out of the total 113 villages of the tehsil, the study identified 06 villages are situated in very high, 18 in high, 13 in moderate, 19 in low and 17 in very low risk zones. The study has significant for the prevention and mitigation of the high landslide potential villages in the study area DO - 10.46243/jst.2021.v6.i04.pp188-194 UR - https://doi.org/10.46243/jst.2021.v6.i04.pp188-194 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp188-194 gives all four in one JSON answer.
