Estimation of stream-order-ratios of catchments without GIS for modeling of catchment's runoff using the GIUH method

Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The GIUH method is one method which deals with prediction of the catchment’s runoff based on the stream-order-ratios (SOR) data and the geomorphologic data of the catchments lacking statistics. Many of the catchments, lack digital DEM map and need GIS to provide them which requires GIS expertise and spending extra time in which may of the hydrologists are not interested and are looking for simpler runoff-rainfall models. In this study, based on the stream ordering data of nine different stream catchments in the world some equations have been provided to determine stream-orderratios. Five regression equations have been presented to measure the geomorphologic of the streams including bifurcation ratio (RB), length ratio, area ration(Ra), (RL), stream slope ratio (RS) and overland slope ratio (RSO). The results of SOR for three other catchments have been evaluated. Based on the regression equations, the surface runoff of the other catchments of Heng-Chi and Kasilian using the GIUH method were estimated. Based on the results, the peak error of the calculated runoff using GIUH model based on the regression equations was 10% more than the model’s measurements based on the real data obtained from GIS. The errors of the model in the estimation of RB, RL, RA, RS, and RSO in the three case study catchments were 4.7%, 23.5%, 7.1%. 41.3%, and 22.9%, respectively. The relative sensitivities of the ratios RB, RL, RA, RS, and RSO are shown to be 0.56, 0.01, 0.92, 0.042, and 1.33, respectively.
Language:
Persian
Published:
Iran Water Resources Research, Volume:13 Issue: 3, 2017
Pages:
89 to 100
magiran.com/p1773505  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!