Synthetic Unit Hydrograph Based on Fractal Characteristics of Watersheds

Document Type : Research Paper

Authors

MS student, civil engineering department, Islamic Azad University, Marvdasht Branch

Abstract

Time of concentration is one of the main topics of physiographic and hydrology studies in watersheds, and it has relatively large impact in calculation of other hydrology parameters, especially flood peak discharge. Moreover, it is used to derive the unit hydrograph of watershed. Fractal geometry can be used as a qualitative tool in order to examine the geomorphology of rivers and also modeling of complex natural phenomena. The most important feature which is analyzed about the phenomena is the fractal dimension that has a great importance to understand and predict the behavior of river changes. This article is aimed to find relationships for time of concentration based on fractal dimension using the production of fractal triangular unit hydrograph of Walnut Gulch watershed. Accordingly, all sub-watersheds and waterways of Walnut Gulch watershed were separated using the GIS software, image of sub-watersheds were digital image processed and the fractal dimension of waterways were calculated using box counting method. Then, by fitting the curve of watershed fractal dimension with the concentration time, which had been calculated by the Kirpich method, a new time of concentration relation was obtained based on the fractal dimension. Finally, fractal triangular unit hydrograph was developed using the new time of concentration. Results showed that the developed triangular unit hydrographs had a relatively appropriate match with NRCS triangular unit hydrograph.

Keywords


منابع:
1)       علمی زاده ه، ا ماه اوجر و م سعادتمند . 1393. بررسی نظریه ی فراکتال در ژئومورفولوژی رودخانه ها (مطالعه ی موردی زرینه رود).پژوهش های زمین‌ریخت‌شناسی کمی. صص 141-130: 3.
2)       فتاحی م.ه و ح جهانگیری. 1393. بررسی ارتباط ویژگی‌های برخال شبکه ی رودخانه و سریهای زمانی جریان رودخانه، مجله ی مهندسی منابع آب. صص 10-1 :7.
3)       علی زاده ا. 1394. اصول آبشناسی کاربردی ،چاپ چهلم ،انتشارات دانشگاه امام رضا(ع)،مشهد، صص 670-615 .
4)       Ariza V.A,F Jiménez-Hornero & E Gutiérrez de Ravé. 2013. Multi-fractal analysis applied to the study of the accuracy of DEM-based stream derivation, Geomorphology. 197:85-95.
5)       Baas A.C.W. 2002. Chaos, fractals and self-organization in coastal geomorphology: simulating dune landscapes in vegetated environments. Geomorphology. 48: 309 – 328.
6)       Bi L, H He, Z Wei & F Shi. 2012. Fractal properties of landform in the Ordos Block and surrounding areas, China Geomorphology. 175:151–162.
7)       Li J, Q Du &C Sun. 2009. An improved box-counting method for image fractal dimension estimation. Pattern Recognition. 42: 2460-2469.
8)       Mandelbrot B. 1967. How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science. 156: 636 – 638.
9)       Molteno T.C.A. 1993. Fast O (N) box-counting algorithm for estimating dimensions. Physical Review.  48: R3263– R3266.
10)   Nikora V. I. 1991. Fractal structures of river plan forms. Water Resour. 27: 1327-1333.
11)   Nikora V. I, V.B Sapozhnikov & D.A Noever. 1993. Fractal geometry of individual river channels and its computer simulation. Water resource. 29:3561-3568.
12)   Phillips J.D. 2002. Interpreting the fractal dimension of river networks. In: N.S.N Lam & L Decola (eds.): Fractals in geography. PTR Prentice-Hall, Inc., New Jersey: 142–157.
13)   Rodriguez-IturbeI and A Rinaldo. 1997. Fractal river basins, chance and Self-Organization, Cambridge: Cambridge University Press.
14)   Shen XH, L Zou &H Li. 2002. Successive shift box counting method for calculating fractal dimension and its application in identification of fault.  Acta geologica sinica. 76:257-263.
15)   Sherman LK. 1932. Streamflow from rainfall by the unit Graph Method. Engineering news-record.108: 501-505.
16)   Turcotte D.L. 2007. Fractal and chaos in geology and geophysics. Cambridge University Press, Cambridge, 398.
17)   Zhu J, X Yu, J Li & Z Zhang. 2009. Improved method for computing fractal dimension of river networks based on image analysis and its application. Geo-Information Science.11:610-616.