Institutional and legal setup to mitigate the impacts of floods has evolved over the years. Nevertheless, statistics do not reveal major reduction in the flood damages. However, river-friendly and less-interventionist approaches have been suggested to achieve sustainable flood management....
The peak flood estimated for various return periods in the Mahanadi river system using GP distribution is endowed with high correlation statistics for this value.doi:10.1080/17499518.2015.1116013Nibedita GuruDepartment of Civil EngineeringRamakar Jha...
The corresponding susceptibility class statistics were extracted from the statistical zonal toolbox and are shown in Table 6. The Table 7 shows the incidence of flooding according to different categories of the flood conditioning factors. Table 6 Relationship between number of floods and level of ...
Fig. 2: Summary statistics of inundated area, population and population exposed to flooding. a Percent inundated area, (b) population (billion people), and (c) population exposed to flooding (billion people) from a range of sources, urban and non-urban environment, and across lowest 1/3, ...
The seasonality of flooding and its influencing factors is characterized by circular statistics3,19,20,24. When applying this analysis, we firstly excluded the flow stations whose floods are uniformly distributed within the year (through the Kuiper’s test with a significance level 0.05) and 5763 ...
The method presented in J15 for estimation of flood vulnerability is novel and highly useful; however, it would be beneficial to confirm these findings using an independent global river and inundation model and different dis- aster statistics, because large uncertainties in land surface and ...
According to the Federal Bureau of statistics, there has been witnessed a decline in the forest area up to 3% in the years between 2000 and 2005. This has been mainly due to over grazing, farming techniques, use of wood as a major source of energy in the rural areas. The increasing ...
Flood is one of the most destructive natural disasters of climate change effects in West Africa. Flood risk occurrence is a combination of natural and anthropogenic factors, which calls for a better understanding of its spatial extent. The aim of this pa
Liu J, Wang J, Xiong J, Cheng W, Sun H, Yong Z, Wang N (2021) Hybrid models incorporating bivariate statistics and machine learning methods for flash flood susceptibility assessment based on remote sensing datasets. Remote Sens 13(23):4945. https://doi.org/10.3390/rs13234945 Article Google...
Meanwhile, we are very grateful to the National Bureau of Statistics in China for providing data and information. We also would like to thank the anonymous reviewers and the editor(s) for their insightful comments and suggestions. Author information Authors and Affiliations School of Water ...