Flood

Definition

Flood is usually used as a general term to describe the overflow of water from a stream channel into normally dry land in the floodplain (riverine flooding), higher-than–normal levels along the coast and in lakes or reservoirs (coastal flooding) as well as ponding of water at or near the point where the rain fell (flash floods) (IRDR Glossary).

Facts and figures

Floods are the natural hazard with the highest frequency and the widest geographical distribution worldwide. According to the Organization for Economic Cooperation and Development (OECD)  flooding is one of the most common, widespread and destructive natural perils, affecting approximately 250 million people worldwide and causing more than $40 billion in damage and losses on an annual basis (OECD).

Flooding occurs most commonly from heavy rainfall when natural watercourses lack the capacity to convey excess water. It can also result from other phenomena, particularly in coastal areas, by a storm surge associated with a tropical cyclone, a tsunami or a high tide. Dam failure, triggered by an earthquake, for instance, will lead to flooding of the downstream area, even in dry weather conditions.

Various climatic and non-climatic processes can result in different types of floods: riverine floods, flash floods, urban floods, glacial lake outburst floods and coastal floods.

Flood magnitude depends on precipitation intensity, volume, timing and phase, from the antecedent conditions of rivers and the drainage basins (frozen or not or saturated soil moisture or unsaturated) and status. Climatological parameters that are likely to be affected by climate change are precipitation, windstorms, storm surges and sea-level rise (UNDRR).

When floodwaters recede, affected areas are often blanketed in silt and mud. The water and landscape can be contaminated with hazardous materials such as sharp debris, pesticides, fuel, and untreated sewage. Potentially dangerous mold blooms can quickly overwhelm water-soaked structures. Residents of flooded areas can be left without power and clean drinking water, leading to outbreaks of deadly waterborne diseases like typhoid, hepatitis A, and cholera (UNDRR).

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    Floods are a common disaster in many parts of the world. It is considered to be the most common, costly and deadly of all natural hazards. Flooding is not just confined to certain region of the world but is a globally pervasive hazard. India experiences one of the highest incidences of Flood, and the area subjected to it is estimated to be one-eight of the geographical area (0.410 M km2) and have been occurring almost regularly each and every year.

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    Floods and associated landslides account for the largest number of natural disasters and affect more people than any other type of natural disaster. With the availability of satellite rainfall analyses at fine time and space resolution, it has also become possible to mitigate such hazards on a near-global basis. In this article, a framework to detect floods and landslides related to heavy rain events in near-real-time is proposed. Key components of the framework are: a fine resolution precipitation acquisition system; a comprehensive land surface database; a hydrological modeling component; and landslide and debris flow model components. A key precipitation input dataset for the integrated applications is the NASA TRMM-based multi-satellite precipitation estimates. This dataset provides near real-time precipitation at a spatial-temporal resolution of 3 h and 0.258 x 0.258. In combination with global land surface datasets it is now possible to expand regional hazard…

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    Flooding is one of the most destructive natural hazards, accounting for over a third of all disaster damage worldwide. In particular inless developed countries (LDCs) this is typically attributed to poor planning, lack of warning systems and limited awareness of thehazard. A number of flood risk models have been developed, but have as yet contributed little to mapping and quantifying the risk inLDCs, for several reasons. In addition to limited human and technical capacity, these models require considerable amounts ofcurrent spatial information that is widely lacking, such as landcover, elevation and elements at risk basedata. Collecting those withground-based methods is difficult, but remote sensing technologies have the potential to acquire them economically. To account forthe variety of required information, data from different sensors are needed, some of which may not be available or affordable.Therefore, data interchangeability needs to be considered.Thus we test…

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    Tsunami occurred on December 26th, 2004 and caused heavy losses of lives and properties along the western coast of Thailand, especially in the six provinces along the Andaman Sea. In order to prepare for such unpredictable natural disaster, Tsunami Warning System Committee agreed to establish tsunami warning towers in the six provinces along the Andaman coastline as the first priority. GISTDA utilized LANDSAT and IKONOS satellite images along with GIS to locate the most suitable sites for tower installation. Factors that were taken into consideration in locating the sites include the risk of the area for tsunami, effectiveness of tower working range and the towers must not block the good view of scenery. The Committee then selected the sites and has established three tsunami-warning towers in Phuket, which have been in operation since April 2005. Each is located 3 km apart from each other and can broadcast within 1.5 km range. In summary, satellite images are extremely…

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  • Massive flooding that has swept through Queensland, Australia, and claimed at least one life will likely force the evacuation of at least 1,000 people

    Source: GLIDEnumber,

    More news: BBC

  • Floods in South-Central Vietnam have cost the lives of 29 people and more than 39,212 flooded or damaged houses. As of this morning, a low pressure zone in the East Sea has strengthened into a tropical depression causing strong winds and medium to heavy rain in provinces from Thua Thien - Hue to Binh Dinh in the next 24h.

    Source: GLIDEnumber

  • 305 families affected by heavy rains that destroyed their homes in Aragua state and caused landslides.

    Source: GLIDEnumber

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