Landslide susceptibility mapping in Sta. Fe, Nueva Vizcaya using GIS: an enhancement/ (Record no. 75)

MARC details
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fixed length control field 02407nam a22002297a 4500
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control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250320100009.0
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040 ## - CATALOGING SOURCE
Transcribing agency NVSU
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Agub, Krisvalen Rey F.
245 ## - TITLE STATEMENT
Title Landslide susceptibility mapping in Sta. Fe, Nueva Vizcaya using GIS: an enhancement/
Statement of responsibility, etc. Krisvalen Rey F. Agub, Jhorge A. Agmallo, Aljay D. Cuyahon, Jordan B. Dulnuan, Krisha M. Marcos
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bayombong:
Name of publisher, distributor, etc. Nueva Vizcaya State University,
Date of publication, distribution, etc. 2024.
300 ## - PHYSICAL DESCRIPTION
Extent x, 113 leaves :
Other physical details colored illustrations, photos ;
Dimensions 28 cm.
500 ## - GENERAL NOTE
General note Landslides pose a significant threat to communities, infrastructure, and the environment. Accurate landslide susceptibility mapping is crucial for effective risk management and mitigation strategies. This study aimed to generate an enhanced landslide susceptibility map for the municipality of Sta. Fe, Nueva Vizcaya, Philippines, using Geographic Information System (GIS) and the Analytical Hierarchy Process (AHP). The study examined the relationship between landslide occurrence and various causative factors, including slope, elevation, soil type, land cover, distance from roads and rivers, and rainfall. <br/><br/> The primary five contributing factors were identified, and their relative weights were determined using the AHP. The enhanced landslide susceptibility map was then generated by integrating these factors. The results revealed that slope (35%) and rainfall (23.56%) were the most influential factors, followed by soil type (15.38%), land cover (9.75%), and elevation (7.21%). The enhanced map classified the study area into four susceptibility classes: very low, low, moderate, and high. Approximately 7,330.41 hectares were identified as highly susceptible, 8,469.94 hectares as moderately susceptible, 5,847.56 hectares as low susceptible, and 2,171.32 hectares as very low susceptible to landslides. <br/><br/> Compared to the existing 2019 susceptibility map, the enhanced version showed a significant difference in the distribution of susceptibility classes, highlighting its improved accuracy and reliability.
501 ## - WITH NOTE
With note Research paper (Bachelor of Science in Geodetic Engineering)
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes appendices and bibliographical references
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Agmallo, Jhorge A.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Cuyahon,Aljay D.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dulnuan, Jordan B.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Marcos, Krisha M., author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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    Dewey Decimal Classification     Nueva Vizcaya State University - Bayombong Campus Nueva Vizcaya State University - Bayombong Campus Reference Section 03/19/2025   U (BSGE) Ag282l 2024 U2292 03/19/2025 03/19/2025 Undergraduate Research

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