As a non-structural measure, flood forecasting (such as discharge, water level, or flow volume) is a crucial part of flow regulation and water resources management. Worldwide, flood disasters account for about one-third of all natural disasters in terms of number and economic losses (Berz 2000). As stated by Dutta and Herath (2004), out of the total number of flood events in the world during the past 30 years, 40% occurred in Asia and Southeast Asia countries stand for the second worst region in Asia. ASEAN Disaster Risk Management Initiative (2010) reported that a catastrophic 200-year flood (0.5 percent annual probability of exceedance) would have a major impact on the economies of the Southeast Asian countries, including Myanmar, which …show more content…
As real time flood forecasting systems of Myanmar still provide river stage forecasts for 1-day lead time, provision of more lead times is an interest of this study. Myanmar is one of the tropical countries characterized by the monsoon climate and river flooding is a recurrent natural phenomenon, particularly during monsoon (Sanyal and Lu 2004). Severe floods have occurred in major rivers in Myanmar during the last decades and there seems to be a trend of frequent hydrological extreme events, leading to a high risk of flood hazards. When implementing a flood forecasting system in a developing country, special attention should be paid to the sustainability of its operation (Shamseldin 2010) and availability of hydrometric data which are commonly monitored in the region. While conceptual or physically based models are vital for the understanding of hydrological processes, there are practical situations where the main focus is to provide accurate predictions at specific locations, especially for the river basins where catchment properties are not fully monitored. Sometimes, a model is valued for its simplicity and robustness in solving the local problems. In the Myanmar context, such a strong predictive model would benefit to the key flood management actions. In recent years, a great deal of work has been done in applying data driven models like multiple regressions and neural networks for water resources research.
Over the past decade, the world has experienced more natural disaster than people can count. Floods, mudslides, earthquakes, and raging fires are just a few of the events that have stripped people away from their families, homes, and possessions. The deadliest of these natural disasters are hurricanes. Extremely strong winds mixed with large waves can cause enormous damage, taking months, even years for towns to recover. Hurricane Katrina left millions of people without homes and families torn apart. Hurricane Sandy demolished the Jersey coast, leaving years of repair work behind. The most recent and powerful hurricane that surfaced is Hurricane Maria. A level five hurricane, Hurricane Maria ripped straight through the United States territory of Puerto Rico. The island lost power, supplies
Hurricanes leave a lot of damage to the states they hit. It also can kill people and leave people injured, my topic is Hurricane Sandy and this affected a lot of people.
The tendency towards more intense precipitation events is projected to the future. The more precipitation, the more risk of flooding.More heavy downpours may increase the likelihood of property damage, travel delays and disruption in
Floods are common natural disasters that occur all over the world. Flooding has devastating impacts on the lives of people who are affected by the disaster. Floods can ruin crops, demolish homes, take innocent lives and cause many other types of hardships. These disasters can also leave people with a financial burden and emotional effects. Studies have shown that floods have led to various sickness and health complications. This common disaster has recently taken place in the state of Louisiana. Louisiana has been suffering from an enormous flood and has left people without homes, without food, and without personal belongings.
The watershed model is used to develop projections of peak stream flows and water surface (flood)
A flood can be defined in many depths but is simply water where it isn’t wanted. In late 2010 Queensland was affected by major flash flooding this continued on into the beginning of 2011 and ¾ of Queensland was declared a disaster zone.
Nobody knows when floods happen. These are natural disasters that can just strike when we least expect it. We may live in deserts or atop a mountain and still experience flooding.
Unfortunately there are several economic consequences of Hurricane Irma. Two significant unanticipated consequences of Hurricane Irma, in my opinion, would have to be the degree of destruction left in Irma’s wake through the Caribbean and the sudden slowing down of Irma over the Cuban coast before turning and making landfall in the United States.
No one knows what I went through; you were not in shoes during hurricane Maria. I was at my father's at house. I was sleeping in my room with my dog. First, I heard the wind going “Woosh! Woosh!.” When I woke up Maria was already here! Unexpectedly, my house got flooded. During the flooding, I had to grabbed the mop while my father went to grabbing towels to try and dry the water. I was worried about mother and sibling since I could not contact them. Eventually, I felt as if my house was a prison since there was not anything to do.
Sustainability is based on designing for storms that have already happen. For example, a storm occurs and damage is done to a community. The community then decides to redesign a building that was ruined to withstand the storm that ruined it. This seems as though it could be logical, but it does not consider that the next storm will be greater than the last, as suggested by scientific trends about storm frequency and intensity (Blunden). Thus, it is noted that sustainability is almost solely dependent on historical accounts and records of the previous disasters putting the population, economy, and infrastructure at a deficit when it comes to preparedness for disasters. These issues are evident in FEMA flood mapping. Through the RiskMAP program, they “identify flood hazards, assess flood risks, and provide accurate data to guide stakeholders in taking effective mitigation actions that result in safer and more resilient communities,” (Flood Hazard Mapping…). The agency produces maps to “provide the basis for community floodplain management regulations and flood insurance requirements” based on various factors (Flood Hazard Mapping…). The
Following the needs assessment, the health – related behavior outcome for the at risk community is to efficiently and effectively prepare a household hurricane plan. The performance objectives are: Identify hurricane risk, know how to prepare a personal/household preparedness plan and identify what to do in the face of a serious hurricane threat.
The methodology used was to utilize the Recurrence Interval formula (R) = (N+1)/M, to determine the recurrence interval and magnitude of historical floods provided on the Stream Gauge Data of Peak Flood Discharges on Clearwater River in Hazard City. Also, I reviewed the flood insurance map to
This measure considers the potential risks of a disaster event and the potential disaster effects. Demographic and vulnerability of the area are considered along with the community’s capability to respond, react, and rebound after a disaster. Natural disasters such as hurricanes are not obviously not preventable but the effects can be predicted. Regional areas such as coastal towns can expect to experience a hurricane disaster event with high winds, flooding, and break in power services while inland communities may feel the hurricane effects such as the storms backlash including flooding and poor weather
Due to diverse geo-climatic conditions prevalent in different parts of the globe, different types of natural disasters like floods, droughts, earthquakes, cyclones, landslides, and volcanoes etc may strike according to the vulnerability of the area.
Bangladesh is one of the largest deltas in the world which is highly Penetrable to Natural Disasters because of its Geographical location, Flat and low-lying landscape, Poverty, Population density, Illiteracy, Lack of Institutional setup etc. Similarly the Physical, Social as well as Economic states of Bangladesh are very typical to any of the most Penetrable countries to Natural Disasters in the world . The total land area is 147,570 sq. km. consists mostly of Floodplains (almost 80%) leaving major part of the country (with the exception of the north-western highlands) prone to flooding in the rainy season. Moreover, the adverse affects of Climate Change – especially High Temperature, Cyclones and Sea-level Rise, Storm Surges, Salinity Intrusion, Heavy Monsoon Downpours etc. has aggravated the overall Economic Development scenario of the country to a great extent.