Issue |
MATEC Web Conf.
Volume 147, 2018
The Third International Conference on Sustainable Infrastructure and Built Environment (SIBE 2017)
|
|
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Article Number | 03003 | |
Number of page(s) | 6 | |
Section | Water Resources Engineering and Management | |
DOI | https://doi.org/10.1051/matecconf/201814703003 | |
Published online | 22 January 2018 |
Development Land Erosion Model Using Model Builder GIS (Case Study: Citepus Watershed)
1
Laboratorium Keairan, Faculty of Civil Engineering and Planning, Trisakti University, Jakarta, Indonesia
2
Laboratorium Keairan, Faculty of Civil Engineering and Planning, Trisakti University, Jakarta, . Indonesia
* Corresponding author: dinaparamitha06@gmail.com or dina.hidayat@trisakti.ac.id
Land erosion is the impact of increasing runoff discharge and land use conversion to impervious areas. Land erosion usually calculated by formula called USLE (Universal Soil Loss Equation) then modified as MUSLE (Modified Universal Soil Loss Equation). These formula calculate average annual soil loss in tons/areas depends on rainfall erosivity (R), soil erodibility factor (K), topographic factor (LS), cropping and conservation factor (CP). GIS (Geographic Information System) is a system designed to capture, manipulate, and analyze spatial/geographic data. There are some tools related water resources analysis in ArcGIS such as: watershed analysis and also have a tools for user to create their own model called model builder. This research was aim to create a model to calculate land erosion using MUSLE formula by model builder in ArcGIS. The output for this research is the model which can be used to calculate annual soil loss in watershed area based on GIS systems. For the model trial and case study, we use Citepus watershed located on Bandung West Java, that has 5 river branches: Cibogo, Cikakak, Cilimus, Cipedes and Ciroyom. As the result of the model, the value of average annual soil loss in Citepus watershed can be calculated automatically by developed model.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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