This study used GIS to identify flood risk areas on the proposed Wapuli and Kpalba roads to help policy makers take a firm decision on which road to link Yendi, Saboba, Chereponi and Gushiegu districts in Northern Ghana. The aim was to identify and measure floodable areas on the proposed roads. Factors influencing flooding in the area are identified and reclassified to flood risk values based o...

Climate change has caused more frequent floods in China which have already resulted in huge losses. Thus flood risk assessment and management is an important research topic. In this paper, a new model of flood risk assessment is proposed based on the information diffusion theory and the back propagation (BP) neural network. Due to the fact that flood statistics data are relatively short and oft...

[1] It is widely acknowledged that climate variability modifies the frequency spectrum of extreme hydrologic events. Traditional hydrological frequency analysis methods do not account for year to year shifts in flood risk distributions that arise due to changes in exogenous factors that affect the causal structure of flood risk. We use Hierarchical Bayesian Analysis to evaluate several factors ...

Abstract Flood-related risks to people and property are expected increase in the future due environmental demographic changes. It is important quantify effectively communicate flood hazards exposure inform design implementation of risk management strategies. Here we develop an integrated modeling framework assess projected changes regional riverine inundation risks. The samples climate model ou...

Flood disasters frequently happen in locations with specific geographic characteristics, such as close proximity to rivers and excessive rainfall, especially during the rainy season, making most soil types contain clay unsuitable for water absorption. One of Indonesian cities that experiences frequent flooding is Pontianak City. Based on parameters established preceding circumstances, multiple ...

Floods are one of the most common hazards in the world, affect ing people’s lives and livelihoods. Flood hazard mapping and flood shelters suitability analysis are v ital elements in appropriate land use planning for flood-prone areas. This paper describes application of Remote Sensing (RS) and Geographical Information Systems (GIS) in identifying flood hazard zones and flood shelters and are t...

Abstract A reliable estimation of flood impacts enables meaningful risk management and rapid assessments shortly after a flood. The in 2021 Central Europe the analysis its revealed that these estimations are still inadequate. Therefore, we investigate influence different data sets methods aiming to improve impact estimates. We estimated economic private households companies for event 2013 Germa...

Due to climate change, the frequency and intensity of Hydro-Meteorological disasters, such as floods, are increasing. Therefore, the main purpose of this work is to assess tangible future flood damage in the urban watershed of the To Lich River in Hanoi, Vietnam. An approach based on spatial analysis, which requires the integration of several types of data related to flood characteristics that ...

introduction floods are major disasters worldwide that causes serious damage to agriculture, fisheries, housing and infrastructure. they can also disrupt socio-economic activities. as the severity and frequency of flood events have considerably increased, there is a growing global concern about the need to decrease flood related fatalities and associated economic losses. just in 2010, 178 million...

In recent years, through the availability of remotely sensed data and other national datasets, it has become possible to conduct national-scale flood risk assessment in the England and Wales. The results of this type of risk analysis can be used to inform policy-making and prioritisation of resources for flood management. It can form the starting point for more detailed strategic and local-scal...