Floods Punctuated by Drought: Developing an Early Warning System for the Missouri River Basin in the Midst of Alternating Extremes

2017 ◽  
pp. 347-358
Author(s):  
Chad McNutt ◽  
Doug Kluck ◽  
Dennis Todey ◽  
Brian A. Fuchs ◽  
Mark D. Svoboda ◽  
...  
Keyword(s):  
River Basin ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Missouri River

Floods Punctuated by Drought: Developing an Early Warning System for the Missouri River Basin in the Midst of Alternating Extremes

2017 ◽  
pp. 347-358
Author(s):  
Chad McNutt ◽  
Doug Kluck ◽  
Dennis Todey ◽  
Brian Fuchs ◽  
Mark Svoboda ◽  
...  
Keyword(s):  
River Basin ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Missouri River

scholarly journals The use of rapid assessment for flood hazard map development in upper citarum river basin

2018 ◽  
Vol 229 ◽  
pp. 04011
Author(s):  
Idham Riyando Moe ◽  
Akbar Rizaldi ◽  
Mohammad Farid ◽  
Arie Setiadi Moerwanto ◽  
Arno Adi Kuntoro
Keyword(s):  
River Basin ◽  
Early Warning ◽  
Early Warning System ◽  
Flood Hazard ◽  
Rapid Assessment ◽  
Warning System ◽  
Observation Data ◽  
Hazard Map ◽  
Material Loss ◽  
Flood Hazard Map

Flood is a natural disaster that can occur at any time and anywhere. The flood disaster causes material and non-material loss, then in order to increase the resilience to disaster, an early warning system is needed. The data is indispensable as a reference to make an early warning system. Unfortunately, flood assessment in purpose to record the data is often conducted much later after the event occurs. Therefore, this research was conducted to do modelling of flood hazard map is quantitatively and validated with observation data as a form of rapid flood assessment. The location of this study is in the Upper Citarum River Basin, around Bandung basin. The model is well done if the result shows the location of the flood as illustrated as the observational data. The result shows fair agreement with observed data where some points of inundated areas are captured and the location of inundated areas from modelling result looks similar to the inundated area from observation data.

Assessing Flood Risks in Malwathu Oya River Basin in Northern Sri Lanka for Establishing Effective Early Warning System

2021 ◽  
pp. 765-776
Author(s):  
Nandana Mahakumarage ◽  
Vajira Hettige ◽  
Sunil Jayaweera ◽  
Buddika Hapuarachchi
Keyword(s):  
Sri Lanka ◽  
River Basin ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Flood Risks

Cost-benefit analysis of flood early warning system in the Karnali River Basin of Nepal

2020 ◽  
Vol 47 ◽  
pp. 101534 ◽  
Author(s):  
Rajesh Kumar Rai ◽  
Marc J.C. van den Homberg ◽  
Gopal Prasad Ghimire ◽  
Colin McQuistan
Keyword(s):  
River Basin ◽  
Early Warning ◽  
Early Warning System ◽  
Cost Benefit Analysis ◽  
Warning System ◽  
Cost Benefit ◽  
Benefit Analysis

Flood early warning system on the Đetinja river Basin in Serbia

2016 ◽  
Vol 11 (2) ◽  
pp. 273-278
Author(s):  
Aleksandar Drobnjak ◽  
Nikola Zlatanović ◽  
Milutin Stefanović ◽  
Mileta Milojević ◽  
Milica Đapić
Keyword(s):  
River Basin ◽  
Early Warning ◽  
Early Warning System ◽  
Flood Control ◽  
Warning System ◽  
Real Data ◽  
Flood Defense ◽  
Timely Response ◽  
Control And Prevention ◽  
Server Application

The Đetinja river basin, in Užice, western Serbia, is ungauged. Many torrential floods have occurred there over the past decades. In the city of Užice, there are no rainfall intensity gauges, and it is impossible to provide the data needed to monitor torrential floods or make a timely response, which is a precondition for successful defense from them. An early warning system for torrential floods was designed, with three key elements: measuring devices in the basin and river, a server application and a web-client application. A hydrologic study was made to assess multiple scenarios, focusing on the analysis of real data to determine alarm criteria for oncoming floods. Alarm criteria were proposed, based on analysis of previous floods and measurements. Using the direct relationship between runoff, rainfall depth and intensity, the alarm criteria are based on precipitation and river stage. There are three levels: the first level ‘warning’, the second ‘regular flood defense’, and the third ‘emergency flood defense’. The earliest possible warning is of great importance, due to the nature and speed of onset of the process. The system plays a key role in active flood control and prevention, by providing the lead time to secure and strengthen the flood defense system, thereby minimizing the adverse impacts of torrential floods.

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