Event-based rainfall-runoff modeling for a data-scarce semi-urban catchment using PC-SWMM:A case study for Vizianagaram town, Andhra Pradesh, India.

2021 ◽  
Author(s):  
L K S V PRASAD SALLANGI
Keyword(s):  
Andhra Pradesh ◽  
Rainfall Runoff ◽  
Urban Catchment ◽  
Runoff Modeling ◽  
Event Based

Contribution of Satellite-Based Precipitation in Hydrological Rainfall–Runoff Modeling: Case Study of the Hammam Boughrara Region in Algeria

2021 ◽  
Author(s):  
Abdelkader Bemmoussat ◽  
Khaled Korichi ◽  
Djelloul Baahmed ◽  
Noureddine Maref ◽  
Omar Djoukbala ◽  
...  
Keyword(s):  
Rainfall Runoff ◽  
Runoff Modeling

Rainfall-runoff modeling considering soil moisture accounting algorithm, case study: Karoon III River basin

2016 ◽  
Vol 43 (4) ◽  
pp. 699-710 ◽  
Author(s):  
Homa Razmkhah ◽  
Bahram Saghafian ◽  
Ali-Mohammad Akhound Ali ◽  
Fereydoun Radmanesh
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Rainfall Runoff ◽  
Soil Moisture Accounting ◽  
Runoff Modeling

Assessing the potential of using telecommunication microwave links in urban drainage modelling

2013 ◽  
Vol 68 (8) ◽  
pp. 1810-1818 ◽  
Author(s):  
M. Fencl ◽  
J. Rieckermann ◽  
M. Schleiss ◽  
D. Stránský ◽  
V. Bareš
Keyword(s):  
Urban Areas ◽  
Rainfall Variability ◽  
Rain Gauge ◽  
Urban Drainage ◽  
Rainfall Runoff ◽  
Urban Catchment ◽  
Flow Prediction ◽  
Spatial Coverage ◽  
Spatio Temporal

The ability to predict the runoff response of an urban catchment to rainfall is crucial for managing drainage systems effectively and controlling discharges from urban areas. In this paper we assess the potential of commercial microwave links (MWL) to capture the spatio-temporal rainfall dynamics and thus improve urban rainfall-runoff modelling. Specifically, we perform numerical experiments with virtual rainfall fields and compare the results of MWL rainfall reconstructions to those of rain gauge (RG) observations. In a case study, we are able to show that MWL networks in urban areas are sufficiently dense to provide good information on spatio-temporal rainfall variability and can thus considerably improve pipe flow prediction, even in small subcatchments. In addition, the better spatial coverage also improves the control of discharges from urban areas. This is especially beneficial for heavy rainfall, which usually has a high spatial variability that cannot be accurately captured by RG point measurements.

Sign in / Sign up

Export Citation Format

Share Document