Analysis of Erosion Hazard Index (IBE) and Its Distribution in Kamenti Tulap Watershed-East Coast Minahasa with Spatial Technology

Erosion is a disaster on agricultural land. Due to extreme weather, flash floods, erosion, and landslides occurred in several areas of Minahasa Regency. The Kamenti Tulap watershed is one of the areas on the East Coast of Minahasa that experienced the flash flood disaster and was affected by material losses and damaged agricultural land. The Kamenti Tulap watershed needs to be managed well because it is a source of drinking water and domestic needs and a source of livelihood for the local community as farmers. The erosion hazard index is needed to determine the condition of soil damage in the Kamenti Tulap watershed. This research aims to calculate the potential erosion, actual erosion, and erosion hazard index using the USLE-RUSLE-MUSLE method integrated with spatial technology to obtain its distribution in the Kamanti Tulap watershed. The materials used are base maps such as research area, watershed, slope, land use, soil map, and rainfall data. The result analysis is Kamenti Tulap Watershed with an 891.53 ha spread across the potential and actual erosion hazard index classes. The high class of potential erosion hazard index of 30.52% spread over 118 land units is generally moderately steep (25-40%). The very high class of actual erosion hazard index spread over 146 land units with a coverage area of about 13.81% and generally on mixed garden land. The government needs information on erosion hazard index classification to determine priority areas for land rehabilitation.

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Publication Details

Journal
International Journal on Advanced Science Engineering and Information Technology
Published
2024-08-21
DOI
https://doi.org/10.18517/ijaseit.14.4.20174
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
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article

Analysis of Erosion Hazard Index (IBE) and Its Distribution in Kamenti Tulap Watershed-East Coast Minahasa with Spatial Technology

Sandra Pakasi, Mitra Zebua, Wiske Rotinsulu, Grace A. J. Rumagit
International Journal on Advanced Science Engineering and Information Technology
Soil and Land Suitability Analysis
article

Analysis of Erosion Hazard Index (IBE) and Its Distribution in Kamenti Tulap Watershed-East Coast Minahasa with Spatial Technology

Sandra Pakasi, Mitra Zebua, Wiske Rotinsulu, Grace A. J. Rumagit
article en

Abstract

Erosion is a disaster on agricultural land. Due to extreme weather, flash floods, erosion, and landslides occurred in several areas of Minahasa Regency. The Kamenti Tulap watershed is one of the areas on the East Coast of Minahasa that experienced the flash flood disaster and was affected by material losses and damaged agricultural land. The Kamenti Tulap watershed needs to be managed well because it is a source of drinking water and domestic needs and a source of livelihood for the local community as farmers. The erosion hazard index is needed to determine the condition of soil damage in the Kamenti Tulap watershed. This research aims to calculate the potential erosion, actual erosion, and erosion hazard index using the USLE-RUSLE-MUSLE method integrated with spatial technology to obtain its distribution in the Kamanti Tulap watershed. The materials used are base maps such as research area, watershed, slope, land use, soil map, and rainfall data. The result analysis is Kamenti Tulap Watershed with an 891.53 ha spread across the potential and actual erosion hazard index classes. The high class of potential erosion hazard index of 30.52% spread over 118 land units is generally moderately steep (25-40%). The very high class of actual erosion hazard index spread over 146 land units with a coverage area of about 13.81% and generally on mixed garden land. The government needs information on erosion hazard index classification to determine priority areas for land rehabilitation.

International Journal on Advanced Science Engineering and Information TechnologyVol. 14(4)
Sam Ratulangi University (ID)
Openalex Percentile: Top 81%
Soil and Land Suitability Analysis
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