scholarly journals A New Algorithm For The Grid Cell-Based Runoff Routing Model Based on Travel Time Concept

2020 ◽  
Vol 5 (2) ◽  
pp. 160
Author(s):  
Baina Afkril ◽  
M. Pramono Hadi ◽  
Slamet Suprayogi
Keyword(s):  
Travel Time ◽  
Routing Algorithm ◽  
Grid Cell ◽  
Direct Runoff ◽  
Runoff Hydrograph ◽  
Data Formats ◽  
Matlab Programming ◽  
Model Algorithm ◽  
Direct Runoff Hydrograph ◽  
Runoff Routing

The grid cell-based routing model has recently been used to simulate direct runoff hydrographs at catchment scales. This study develops a flexible event-based runoff routing algorithm to simulate a direct runoff hydrograph (DRH). The experiment was based on the spatiotemporal inputs of a hydrological data set. The flexibility is based on the time step and grid cell size applied in the original STORE-DHM. Rainfall distribution was obtained using radar data adjusted by the measured point ground, while the runoff yield was determined using the NRCS-CN method. The parameter distribution was captured in the GIS environment as raster data formats. Furthermore, it was converted into ASCII data formats for scripting the routing algorithm using Matlab programming codes. The model algorithm was tested for storm events within two small study river systems in Yogyakarta, Indonesia. One event in each catchment was selected and calibrated to the observed hydrograph, treating the Curve Number (CN) and Manning coefficient (n) values as parameter calibrations. In the end, two events were selected for validation. The proposed routing model algorithm simulates DRHs of all selected events in the study areas with excellent performance. The Nash-Sutcliffe coefficient was greater than 0.75 for all DRH during validation, and the volume bias and peak discharge error were less than 25%. Keywords: Algorithm; Cell-based runoff routing; Travel time; GIS; Direct runoff hydrograph.   Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

Simulation of the direct runoff hydrograph at basin outlet

1998 ◽  
Vol 12 (5) ◽  
pp. 769-779 ◽  
Author(s):  
Florisa Melone ◽  
Corrado Corradini ◽  
Vijay P. Singh
Keyword(s):  
Direct Runoff ◽  
Runoff Hydrograph ◽  
Direct Runoff Hydrograph

Investigating Parameters of Geomorphic Direct Runoff Hydrograph Models

2019 ◽  
Vol 46 (1) ◽  
pp. 19-28 ◽  
Author(s):  
A. R. Ghumman ◽  
Y. Ghazaw ◽  
R. H. Abdel-Maguid ◽  
A. Zafar
Keyword(s):  
Direct Runoff ◽  
Runoff Hydrograph ◽  
Direct Runoff Hydrograph

scholarly journals A Comparison of Continuous and Event-Based Rainfall–Runoff (RR) Modelling Using EPA-SWMM

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 611 ◽  
Author(s):  
Sharif Hossain ◽  
Guna Alankarage Hewa ◽  
Subhashini Wella-Hewage
Keyword(s):  
Goodness Of Fit ◽  
Model Performance ◽  
South Australia ◽  
Comparative Performance ◽  
Direct Runoff ◽  
Continuous Simulation ◽  
Runoff Hydrograph ◽  
Total Runoff ◽  
Event Based ◽  
Runoff Hydrographs

This study investigates the comparative performance of event-based and continuous simulation modelling of a stormwater management model (EPA-SWMM) in calculating total runoff hydrographs and direct runoff hydrographs. Myponga upstream and Scott Creek catchments in South Australia were selected as the case study catchments and model performance was assessed using a total of 36 streamflow events from the period of 2001 to 2004. Goodness-of-fit of the EPA-SWMM models developed using automatic calibration were assessed using eight goodness-of-fit measures including Nash–Sutcliff efficiency (NSE), NSE of daily high flows (ANSE), Kling–Gupta efficiency (KGE), etc. The results of this study suggest that event-based modelling of EPA-SWMM outperforms the continuous simulation approach in producing both total runoff hydrograph (TRH) and direct runoff hydrograph (DRH).

scholarly journals Decentralized Routing Algorithm with Physical Time Windows for Modular Conveyors

2019 ◽  
Author(s):  
Simon Sohrt ◽  
Ludger Overmeyer
Keyword(s):  
Travel Time ◽  
Lead Time ◽  
Time Windows ◽  
Routing Algorithm ◽  
Routing Algorithms ◽  
System Throughput ◽  
Physical Time ◽  
Starvation Effects

We describe a decentralized routing algorithm with physical time windows for modular conveying systems. Existing routing algorithms for modular conveyors are already capable of bi-directional conveying while avoiding conflicts such as collisions, deadlocks, livelocks and starvation effects. In addition to avoiding conflicts, routing algorithms must also select routes that reduce the travel time. No existing algorithm for modular conveyors bases this decision on the expected physical lead time, even though physical lead time directly affects the system throughput. In this publication, we present an algorithm that uses the physical lead time to select routes while avoiding conflicts.

scholarly journals Spatially Distributed Characterization of Soil Dynamics Using Travel-Time Distributions

2016 ◽  
Author(s):  
Falk Heße ◽  
Matthias Zink ◽  
Rohini Kumar ◽  
Luis Samaniego ◽  
Sabine Attinger
Keyword(s):  
Travel Time ◽  
Potential Evapotranspiration ◽  
Grid Cell ◽  
Large Data ◽  
Data Sets ◽  
Travel Times ◽  
Spatially Distributed ◽  
Hydrological System ◽  
And Storage

Abstract. Travel-time distributions are a comprehensive tool for the characterization of hydrological system dynamics. Unlike streamflow hydrographs, they describe the movement and storage of water inside and through the hydrological system. Until recently, studies using such travel-time distributions have generally either been applied to simple (artificial toy) models or to real-world catchments using available time series, e.g. stable isotopes. Whereas the former are limited in their realism, the latter are limited in their use of available data sets. In our study, we employ a middle ground by using the mesoscale Hydrological Model (mHM) and apply it to a catchment in Central Germany. Being able to draw on multiple large data sets for calibration and verification, we generate a large array of spatially distributed states and fluxes. These hydrological outputs are then used to compute the travel-time distributions for every grid cell in the modeling domain. A statistical analysis shows the general soundness of the upscaling scheme employed in mHM and reveal precipitation, saturated soil moisture and potential evapotranspiration as important predictors for explaining the spatial heterogeneity of mean travel times. In addition, we demonstrate and discuss the high information content of mean travel times for characterization of internal hydrological processes.

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