Idea Transcript
Your web browser (Safari 4) is out of date. Update your browser for more security, speed and the best experience on this site. Update browser (http://browser-update.org/update-browser.html#24:www.scientific.net) Ignore ()
GET ACCESS (/ACCOUNT/SUBSCRIPTIONS)
SYSTEM GUIDE (/INFO) (https://zh.scientific.net/AMM.845.24)
(/)
DISTRIBUTORS (/DISTRIBUTOR) ABOUT US (/HOME/ABOUTUS)
SUPPLEMENTS (/DOWNLOADS) CONTACT US (/HOME/CONTACTS) (/Payment/Cart)
Search
LOG IN
(/ACCOUNT/LOGIN
Paper Titles Identification of Suspended Sediment Concentration in Stream Network p.3
(/AMM.845.3) Rainfall Simulation at Bah Bolon Watershed with Backpropagation Artificial Neural Network Based on Rainfall Data Using Scilab p.10
(/AMM.845.10) Decentralized System of Greywater Recycling for Sustainable Urban Water Source (Case Study: Surakarta CityIndonesia) p.18
(/AMM.845.18) Rainfall-Discharge Simulation in Bah Bolon Catchment Area by Mock Method, NRECA Method, and GR2M Method
Home (/) Applied Mechanics and Materials (/AMM) Resilience and Reliability of Civil Engineering... (/AMM.845) Rainfall-Discharge Simulation in Bah Bolon...
Rainfall-Discharge Simulation in Bah Bolon Catchment Area by Mock Method, NRECA Method, and GR2M Method Abstract: Rainfall-discharge simulation is a process transformation from rainfall to discharge in a catchment area by modelling. The most popular models are Mock method and NRECA method. It is according to the handbook of irrigation that is written by government (Indonesia). GR2M (Global Rainfall-Runoff Model) is a new model that is not usual to be used in Indonesia. GR2M is a simulation model that needs less parameter than Mock and NRECA methods. This research was conducted in the Bah Bolon catchment area, Simalungun, North Sumatra. It will analyze the simulation of rainfall-discharge by three methods, Mock, NRECA, and GR2M without considering whether the watershed was wet or dry watershed. The analysis was computed the dependable discharge by flow duration curve (fdc) in a series data on each method. The parameter that compared was the dependable discharge, i.e. the discharge with probability 70% (Q70), probability 80% (Q80), and probability 90% (Q90). GR2M will compared with Mock, then compared with NRECA. The results show that the discharge simulation by GR2M methods and the discharge simulation by Mock method has correlation 0.968. The discharge simulation by GR2M method and the discharge simulation by NRECA method has correlation 0,955. It means that GR2M close to the both of them, but GR2M can used easily because it has less parameter than the other. Based on the graphic, GR2M close to the Mock method for probability more than 50%. So, if the probability is 70%, 80%, and 90%, then GR2M method close to Mock method.
p.24
(/AMM.845.24) The Analysis of Sediment Transport Using Yang Method, Engelund-Hansen Method, and Bagnold Method in Bah Bolon River, Simalungun Regency of North Sumatera p.30
(/AMM.845.30) Seismic Upgrade of Earth Dams Australian Practice p.37
(/AMM.845.37) Analysis of Seismic Ground Response in Makassar Using Geotechnical In Situ Tests p.52
Info: Periodical:
Applied Mechanics and Materials (/AMM) (Volume 845)
Main Theme:
Resilience and Reliability of Civil Engineering Infrastructures (/AMM.845)
Edited by:
S.A. Kristiawan, E. Schlangen and H. Jonkers
Pages:
24-29
DOI:
10.4028/www.scientific.net/AMM.845.24
Citation:
H. Rintis et al., "Rainfall-Discharge Simulation in Bah Bolon Catchment Area by Mock Method, NRECA Method, and GR2M Method", Applied Mechanics and Materials, Vol. 845, pp. 24-29, 2016
Online since:
July 2016
Authors:
Hadiani Rintis (/author/Hadiani_Rintis), Suyanto (/author/), Setyoasri (/author/Yosephina_Puspa_Setyoasri_1) *
Keywords:
Bah-Bolon (/keyword/Bah-Bolon), GR2M (/keyword/GR2M), Mock (/keyword/Mock), NRECA (/keyword/NRECA), Rainfall-Discharge Simulation (/keyword/RainfallDischarge_Simulation)
Export:
RIS, (/AMM.845.24.ris) BibTeX (/AMM.845.24.bib)
Price:
$38.00
Permissions:
Request Permissions (https://www.copyright.com/OpenURL? Sid=1000009152&issn=1662-7482&WT.mc_id=1000009152)
(/AMM.845.52) A Numerical Method of the Flexible Pavement Supported by SSC on Expansive Soil p.62
(/AMM.845.62) Axial Pile Capacity Prediction Obtained from Environmental Friendly Jack-In Piling Test on Clayey Soil p.70
(/AMM.845.70)
Share:
* - Corresponding Author
References Cited by Related Articles
Yosephina Puspa
1
ADD TO CART