E3S Web Conf.
Volume 202, 2020The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|Number of page(s)||12|
|Section||Green Infrastructure and Resilience|
|Published online||10 November 2020|
Assessment of sedimentation rates in the Way Seputih Watershed Area
1 Master Program of Environmental Sciences, School of Post-Graduate, Diponegoro University, Semarang - Indonesia
* Corresponding author: firstname.lastname@example.org
Way Seputih watershed is one of the important watersheds located in Central Lampung Regency and is a source of waters both agriculture and industry. The occurrence of floods that occur during the rainy season is due to reduced forest cover that is converted to agricultural land and settlements. In the Way Seputih River many sand mining activities will have implications for the sedimentation process at the downstream of the Way Seputih River. The purpose of this study is to identify the effects of sedimentation using the SWAT model. To find out changes in land use/cover using the SWAT SUFI-2 analysis. Calibration and Validation are carried out to obtain the accuracy of the model. Model accuracy is measured using Nash Sutcliffe Efficiency values (0.58 and 0.62), and coefficient of determination (R2) (0.69 and 0.62). This condition is influenced by the runoff curve number (CN2.mgt) factor. Sediment prediction averaged 117,027 tons/ha in each sub-watershed. Good management is needed to reduce the rate of sedimentation.
Key words: Way Seputih / land use/cover / sediment / SWAT
© The Authors, published by EDP Sciences, 2020
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.