in press

Estimation of Subsurface Flow Hydrograph of Catchments by Time-Area Hydrograph Method" /> in press Estimation of Subsurface Flow Hydrograph of Catchments by Time-Area Hydrograph Method
EN PL
RESEARCH PAPER

in press

Estimation of Subsurface Flow Hydrograph of Catchments by Time-Area Hydrograph Method
 
More details
Hide details
1
Department of Civil Engineering, Islamic Azad University, Estahban Branch, Fars, Iran
 
2
Department of Economics, Engineering, Society and Business Organization (DEIM), Tuscia University, Via S. Camillo de Lellis snc, 01100 Viterbo (VT), Italy.
 
These authors had equal contribution to this work
 
 
Submission date: 2024-04-04
 
 
Final revision date: 2024-06-06
 
 
Acceptance date: 2024-06-08
 
 
Publication date: 2024-08-19
 
 
Corresponding author
Touraj Sabzevari   

Department of Civil Engineering, Islamic Azad University, Estahban Branch, Fars, Iran
 
 
Acta Sci. Pol. Formatio Circumiectus 2024;23(2):83-96
 
HIGHLIGHTS
  • 1. Introduce subsurface travel time in subsurface flow in soil.
  • 2. Introduce new method for calculating isochrones location in subsurface flow by Arc Gis
  • 3. Calculating of subsurface hydrograph of catchments by time-area method
KEYWORDS
TOPICS
ABSTRACT
Aim of the study:
In this study, a novel approach was undertaken, employing the concept of SSF isochrones in tandem with the time-area histogram (TAH) method as a fresh model for SSF estimation within catchments.

Material and methods:
Leveraging the subsurface travel time equation of hillslopes and GIS software, the spatial delineation of isochrones within the soil was accomplished. Furthermore, a methodology was introduced to compute the TAH of SSF. Subsequently, the subsurface hydrograph of the catchment was derived by convoluting the TAH of SSF with the infiltration hyetograph. To validate the findings, the subsurface hydrographs calculated using the geomorphologic instantaneous unit hydrograph (GIUH) model were juxtaposed with those from two catchments in northern Taiwan—Heng-Chi and San-Hsia.

Results and conclusions:
The mean error in comparison with the SSF time-area model stood at 10.5%, affirming the robustness of the proposed approach.10.5%.

ISSN:1644-0765
Journals System - logo
Scroll to top