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Showing posts with the label Flood risk mapping

Key Immediate Needs and Preliminary Impact Assessment: North Eastern Flash Flood, May 2022 Bangladesh

  The northeast part of Bangladesh experienced a flash flood that started on the week of 15 May 2022. The intensity of the flood increased on 18 May 2022 as the major river ‘Surma’ and ‘Kusiara’ started to overflown 140 cm above the danger level. Alongside that, heavy rainfall in that areas and northeastern Indian states was the main cause of this flood. The Sylhet meteorically meteorological department stated that the continuous rain was an effect of Cyclone Asani. It has taken effect among 4 million people across five districts - Sylhet, Sunamganj, Habiganj, Netrokona, and Maulvibazar, while Sylhet and Sunamganj were affected severely. In this flood, around 418,546 people were exposed to inundation, as projected by the EU’s Copernicus Emergency Management Services (CEMS). It is also estimated that over 1.5 million (40%) children were at risk of waterborne diseases, drowning, and malnutrition due to extensive flood water. Their woes coupled with 150,000 families in Sylhet and Sunamgan

Flood Risk Mapping and Damage Analysis Using GIS

ABSTRACT Natural and manmade hazards and their destructive nature can seriously restrict economic development due to the loss of life and the destruction of property. It is the premise of this study that Geographic Information System (GIS) can be a useful tool for hazard identification and analysis for implementing mitigation strategies. Flooding is a natural phenomenon that occurs in Bangladesh almost every year with varied intensity. In this study GIS was used as a tool for flood hazard analysis, taking Nabinagar Upazila of Brhamanbaria District as a case study because of its geo-physical characteristics. The leading objectives of this study were to determine the Highest Flood Level (HFL) for a determined return period (25 years) and to analyze both the physical and economic damage caused by the determined flood level.   Using a deterministic approach of flood level prediction, highest flood level was determined by analyzing the previous 40 years’ highest water level da