Probability distributions for flood warning systems

1994 ◽  
Vol 30 (4) ◽  
pp. 1145-1152 ◽  
Author(s):  
Karen S. Kelly ◽  
Roman Krzysztofowicz
Keyword(s):  
Probability Distributions ◽  
Warning Systems ◽  
Flood Warning ◽  
Flood Warning Systems

The East Coast and London tidal flood warning systems

1972 ◽  
Vol 272 (1221) ◽  
pp. 173-178 ◽  
Keyword(s):  
At Risk ◽  
East Coast ◽  
Warning System ◽  
Warning Systems ◽  
Tidal Flooding ◽  
Thames Estuary ◽  
Flood Warning ◽  
Physical Setting ◽  
Flood Warning System ◽  
Flood Warning Systems

Disastrous tidal flooding on the East Coast of England in 1953 was followed by the setting up of a flood warning system for the East Coast, and led to consideration being given to the feasibility of excluding dangerous surges from London by the construction of a tidal barrier across the Thames. Frequency estimates in connexion with the latter led in turn to the introduction of an improved warning system for London in 1968. This paper describes the physical setting and the nature of surges on the East Coast and in the Thames estuary, and the means used to forecast them; and refers to supporting investigational work. It discusses the means of disseminating warnings to those at risk and concludes by attempting to foresee how the system might develop.

scholarly journals Fuzzy Logic-based Data Controlled Wireless Sensor Network Routing Protocol for Flood Early Warning

2021 ◽  
Vol 18 (3) ◽  
pp. 166-173
Author(s):  
A.E. Alabi ◽  
O.S. Ayoola ◽  
O.A. Fakolujo
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Cluster Head ◽  
Life Time ◽  
Network Routing ◽  
Warning Systems ◽  
Energy Efficient Routing ◽  
Flood Warning ◽  
Flood Warning Systems

Floods account for 15% of all natural disasters related deaths. Therefore, early flood warning systems using wireless network of sensors installed in flood prone areas is necessary to provide early notice of impending flood. This research focuses on the use of an energy efficient routing protocol to prolong the life time of the Network. The importance of this is to minimize energy consumption as necessary for reliable field operations. It adopts the use of mandami Fuzzy logic-based data controlled routing protocol (F-DCRP).Simulation was carried out for the F-DCRP, LEACH and Crisp Data controlled routing protocol (DCRP). The performance of the three protocols were obtained and compared. The result showed that Cluster head (CH) load was better shared uniformly among all the nodes. Percentage of packets dropped showed that the proposed F-DCRP was 10% lower compared to DCRP and 50% lower compared to LEACH resulting in more packets sent per round and greater reliability compared to LEACH and DCRP. The network lifetime was also improved by 40 % when compared to LEACH and DCRP.

Flood Warning Systems and Their Performance

2017 ◽  
Author(s):  
Dennis John Parker
Keyword(s):  
Flood Risk ◽  
Large Body ◽  
Flood Forecasting ◽  
The Other ◽  
Legal Responsibility ◽  
Warning Systems ◽  
Flood Warning ◽  
Wide Range ◽  
Flood Warning Systems ◽  
Flood Warnings

Humankind is becoming increasingly dependent on timely flood warnings. Dependence is being driven by an increasing frequency and intensity of heavy rainfall events, a growing number of disruptive and damaging floods, and rising sea levels associated with climate change. At the same time, the population living in flood-risk areas and the value of urban and rural assets exposed to floods are growing rapidly. Flood warnings are an important means of adapting to growing flood risk and learning to live with it by avoiding damage, loss of life, and injury. Such warnings are increasingly being employed in combination with other flood-risk management measures, including large-scale mobile flood barriers and property-level protection measures. Given that lives may well depend on effective flood warnings and appropriate warning responses, it is crucial that the warnings perform satisfactorily, particularly by being accurate, reliable, and timely. A sufficiently long warning lead time to allow precautions to be taken and property and people to be moved out of harm’s way is particularly important. However, flood warnings are heavily dependent on the other components of flood forecasting, warning, and response systems of which they are a central part. These other components—flood detection, flood forecasting, warning communication, and warning response—form a system that is characterized as a chain, each link of which depends on the other links for effective outcomes. Inherent weaknesses exist in chainlike processes and are often the basis of warning underperformance when it occurs. A number of key issues confront those seeking to create and successfully operate flood warning systems, including (1) translating technical flood forecasts into warnings that are readily understandable by the public; (2) taking legal responsibility for warnings and their dissemination; (3) raising flood-risk awareness; (4) designing effective flood warning messages; (5) knowing how best and when to communicate warnings; and (6) addressing uncertainties surrounding flood warnings. Flood warning science brings together a large body of research findings from a particularly wide range of disciplines ranging from hydrometeorological science to social psychology. In recent decades, major advances have been made in forecasting fluvial and coastal floods. Accurately forecasting pluvial events that cause surface-water floods is at the research frontier, with significant progress being made. Over the same time period, impressive advances in a variety of rapid, personalized communication means has transformed the process of flood warning dissemination. Much is now known about the factors that constrain and aid appropriate flood warning responses both at the individual and at organized, flood emergency response levels, and a range of innovations are being applied to improve response effectiveness. Although the uniqueness of each flood and the inherent unpredictability involved in flood events means that sometimes flood warnings may not perform as expected, flood warning science is helping to minimize these occurrences.

Advances in radar-based flood warning systems

2008 ◽  
pp. 1295-1303 ◽  
Author(s):  
C Corral ◽  
D Velasco ◽  
D Forcadell ◽  
D Sempere-Torres ◽  
E Velasco
Keyword(s):  
Warning Systems ◽  
Flood Warning ◽  
Flood Warning Systems

The Role of Unofficial Flood Warning Systems

1998 ◽  
Vol 6 (1) ◽  
pp. 45-60 ◽  
Author(s):  
Dennis J. Parker ◽  
John W. Handmer
Keyword(s):  
Warning Systems ◽  
Flood Warning ◽  
Flood Warning Systems
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