| Issue |
MATEC Web Conf.
Volume 101, 2017
Sriwijaya International Conference on Engineering, Science and Technology (SICEST 2016)
|
|
|---|---|---|
| Article Number | 04021 | |
| Number of page(s) | 5 | |
| Section | Applied Technology for Sustainable Environment | |
| DOI | https://doi.org/10.1051/matecconf/201710104021 | |
| Published online | 09 March 2017 | |
Development of erosion risk map using fuzzy logic approach
Civil Engineering Department, Universitas Riau, 28293 Riau, Indonesia
* Corresponding author: manyu_fauzi@yahoo.com
Erosion-hazard assessment is an important aspect in the management of a river basin such as Siak River Basin, Riau Province, Indonesia. This study presents an application of fuzzy logic approach to develop erosion risk map based on geographic information system. Fuzzy logic is a computing approach based on “degrees of truth” rather than the usual “true or false” (1 or 0) Boolean logic on which the modern computer is based. The results of the erosion risk map were verified by using field measurements. The verification result shows that the parameter of soil-erodibility (K) indicates a good agreement with field measurement data. The classification of soil-erodibility (K) as the result of validation were: very low (0.0–0.1), medium (0.21-0.32), high (0.44-0.55) and very high (0.56-0.64). The results obtained from this study show that the erosion risk map of Siak River Basin were dominantly classified as medium level which cover about 68.54%. The other classifications were high and very low erosion level which cover about 28.84% and 2.61% respectively.
© The Authors, published by EDP Sciences, 2017
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.