Proceedings of the 1st International Conference on Industry Science Technology and Sustainability (IConISTS 2023)

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Analyzing Erosion Using GIS in Way Besai Watershed

Authors
R. A. Saputro1, *, D. I. Kusumastuti1, E. P. Wahono1, O. T. Purwadi1, A. Zakaria1
1Department of Civil Engineering, FacultyofEngineering, University of Lampung, Lampung, Indonesia
*Corresponding author. Email: rifkiananda16@gmail.com
Corresponding Author
R. A. Saputro
Available Online 2 August 2024.
DOI
10.2991/978-94-6463-475-4_6How to use a DOI?
Keywords
Erosion; Way Besai Watershed; USLE; GIS
Abstract

The impact of erosion globally shows huge losses in food production. Economic damage due to erosion is related to the total rainfall that falls in an area. High rainfall due to extraordinary climate change will have an effect on soil erosion. Specific planning in various regions will restrain erosion impact. Erosion prevention such as environmental rehabilitation through reforestation of land can be done by managing land that has erosion potential. Universal Soil Loss Equation (USLE) is the most popular method for really used method predicting amount of erosion. Geographic Information Systems (GIS) can facilitate the process of visualization and geographic exploration of the secondary data obtained, especially in identifying the level of erosion hazard. The erosion hazard level in Way Besai watershed is 505.7502 tons/ha/year which is classified as Erosion Hazard Class V or very high. Sediment in Way Besai watershed is 352485.91 tons/year for an area of 38865 Ha. Erosion hazard percentage according to slope classification is 0 – 8 (1.89%), 8 – 15 (6.6%), 15 – 25 (14.62%), 25 – 40 (32.08%), and > 40 (44.81%). The erosion hazard area with high classification is located in a mountainous area with large slope.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st International Conference on Industry Science Technology and Sustainability (IConISTS 2023)
Series
Advances in Engineering Research
Publication Date
2 August 2024
ISBN
978-94-6463-475-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-475-4_6How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - R. A. Saputro
AU  - D. I. Kusumastuti
AU  - E. P. Wahono
AU  - O. T. Purwadi
AU  - A. Zakaria
PY  - 2024
DA  - 2024/08/02
TI  - Analyzing Erosion Using GIS in Way Besai Watershed
BT  - Proceedings of the 1st International Conference on Industry Science Technology and Sustainability (IConISTS 2023)
PB  - Atlantis Press
SP  - 43
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-475-4_6
DO  - 10.2991/978-94-6463-475-4_6
ID  - Saputro2024
ER  -