REPLY to “On width function-based unit hydrographs deduced from separately random self-similar river networks and rainfall variability”

Hung, Chun-Po; Wang, Ru-Yih

doi:10.1623/hysj.52.1.237

Cited by 3 publications

(1 citation statement)

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“…Both the vector (i.e., geographical features) and property (i.e., topographical parameters) information for drainage networks extracted from Digital Elevation Models (DEMs) are important for physically based distributed hydrological modeling (Hung and Wang, 2007;Moretti and Montanari, 2008;Li et al, 2011;Åkesson and Wörman, 2012;, non-point source pollutant simulation Buchanan et al, 2013;, and geomorphological analysis (Li et al, 2009;Millares et al, 2012). With the development of Remote Sensing (RS), Global Positioning System (GPS), and Geographical Information System (GIS) technologies, DEM with higher accuracy and resolution can be obtained (Wilson, 2012).…”

Section: Introductionmentioning

confidence: 99%

A hierarchical pyramid method for managing large-scale high-resolution drainage networks extracted from DEM

Bai

Huang

et al. 2015

Computers & Geosciences

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Section: Introductionmentioning

confidence: 99%

A hierarchical pyramid method for managing large-scale high-resolution drainage networks extracted from DEM

Bai

Huang

et al. 2015

Computers & Geosciences

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An efficient and comprehensive method for drainage network extraction from DEM with billions of pixels using a size-balanced binary search tree

Bai

Huang

et al. 2015

Geomorphology

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General Coding Method on Random Self-Similar Tree Composed of Multiple Basic Patterns

Hung

2009

Fractals

Self Cite

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This work discusses the random self-similar tree generation by employing multiple basic patterns, and investigates the character code and standardization algorithm for multiple basic patterns. With reference to the wide range of various basic patterns in natural shapes, the general coding method and the corresponding algorithm to calculate the topological distance is developed for random self-similar tree with multiple basic patterns. To assess the adaptability of the process, the general coding method is applied to transfer the generated river network to a code series and the corresponding algorithm for calculating topological distance of the links is used to determine the width function of the pattern. Finally, the width-function based geomorphologic instantaneous unit hydrograph (WF-GIUH) model is then applied to estimate the runoff of the Po-bridge watershed in northern Taiwan. The results reveal that the random self-similar tree with multiple basic patterns proposed in this study can be implemented successfully to calculate hydrologic responses. . Downloaded from www.worldscientific.com by YALE UNIVERSITY on 02/02/15. For personal use only. Fractals 2009.17:283-298. Downloaded from www.worldscientific.com by YALE UNIVERSITY on 02/02/15. For personal use only. Fractals 2009.17:283-298. Downloaded from www.worldscientific.com by YALE UNIVERSITY on 02/02/15. For personal use only.

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REPLY to “On width function-based unit hydrographs deduced from separately random self-similar river networks and rainfall variability”

Cited by 3 publications

References 1 publication

A hierarchical pyramid method for managing large-scale high-resolution drainage networks extracted from DEM

A hierarchical pyramid method for managing large-scale high-resolution drainage networks extracted from DEM

An efficient and comprehensive method for drainage network extraction from DEM with billions of pixels using a size-balanced binary search tree

General Coding Method on Random Self-Similar Tree Composed of Multiple Basic Patterns

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