A simple logistic model to understand the occurrence of flood events into the Biobío River Basin in central Chile

2014 ◽  
Vol 10 (1) ◽  
pp. 17-29 ◽  
Author(s):  
I. Fustos ◽  
R. Abarca-del-Rio ◽  
A. Ávila ◽  
R. Orrego
2012 ◽  
pp. 57-69 ◽  
Author(s):  
Ana Elizabeth Cortés ◽  
Ricardo Oyarzún ◽  
Nicole Kretschmer ◽  
Henrique Chaves ◽  
Guido Soto ◽  
...  

2014 ◽  
Vol 78 (2) ◽  
pp. 109-119 ◽  
Author(s):  
GUSTAVO CHIANG ◽  
KELLY R. MUNKITTRICK ◽  
MARK E. MCMASTER ◽  
RICARDO BARRA ◽  
MARK SERVOS

2021 ◽  
Vol 19 (1) ◽  
pp. 43-69
Author(s):  
Aznarul Islam ◽  
Biplab Sarkar

AbstractFloods of the Mayurakshi River Basin (MRB) have been historically documented since 1860. The high magnitude, low-frequency flood events have drastically changed to low magnitude, high-frequency flood events in the post-dam period, especially after the 1950s, when the major civil structures (Massanjore dam, Tilpara barrage, Brahmani barrage, Deucha barrage, and Bakreshwar weir) were constructed in the MRB. The present study intends to find out the nature of flood frequency using the extreme value method of Gumbel and Log-Pearson type III (LP-III). The results show that the highest flood magnitude (11,327 m3 s−1) was observed during 1957–2009 for the Tilpara barrage with a return probability of 1.85% and the lowest (708 m3 s−1) recorded by the Bakreshwar weir during 1956–77 with a return probability of 4.55%. In the present endeavour, we have computed the predicted discharge for the different return periods, like 2, 5, 10, 25, 50,100, and 200 years. The quantile-quantile plot shows that the expected discharge calculated using LP-III is more normally distributed than that of Gumbel. Moreover, Kolmogorov–Smirnov (KS) test, Anderson–Darling (AD), and x2 distribution show that LP-III distribution is more normally distributed than the Gumbel at 0.01 significance level, implying its greater reliability and acceptance in the flood simulation of the MRB.


Author(s):  
H.Y. Abdul

Over the years, flood is one of the natural hazards which occur all over the world and it is critical to be controlled through proper management. Flood in Kelantan is mainly caused by heavy rainfall brought by the Northeast monsoon starting from November to March every year. It is categorized as annual flood as it occurs every year during the Monsoon season. Severe flood events in Kelantan, Malaysia cause damage to both life and property every year and understanding landscape structure changes is very important for planners and decision makers for future land use planning and management. This research aims to quantify the landscape structure near to Kelantan River basin during the flood event using integrated approach of remote sensing (RS), geographic information system (GIS) technique and landscape ecological approach. As a result, this study provide new knowledge on landscape structure that contributes to understand the impact of flood events and provide the best ways to mitigate flooding for helping to protect biodiversity habitat and dwellers. As conclusions, this kind of study will give more benefits to various stakeholders such as Department of Irrigation and Drainage, Department of Environment, state government, fisherman and communities.


2017 ◽  
Vol 9 (11) ◽  
pp. 1100 ◽  
Author(s):  
Hao Zhou ◽  
Zhicai Luo ◽  
Natthachet Tangdamrongsub ◽  
Lunche Wang ◽  
Lijie He ◽  
...  

2020 ◽  
Vol 34 (7) ◽  
pp. 2201-2220 ◽  
Author(s):  
Patricia López López ◽  
Tashrifa Sultana ◽  
Mohammed Abdulla Hel Kafi ◽  
Mohammed Shahadat Hossain ◽  
Abu Saleh Khan ◽  
...  

2019 ◽  
Vol 20 (2) ◽  
pp. 416-427 ◽  
Author(s):  
Jianzhu Li ◽  
Keke Zhou ◽  
Ting Zhang ◽  
Qiushuang Ma ◽  
Ping Feng

Abstract The study of flood scaling is an important means to solve the problem of flood prediction in ungauged and poorly gauged basins. With the impact of climate change and human activities, the mechanism and process of floods are constantly changing. However, in many areas, there are only simple scaling results that can be used to guide daily work. Taking the Daqinghe River basin as an example, a fixed flood scaling exponent determined in 1974 (before the change point of 1979) is still used all over the basin, which is apparently no longer appropriate. Therefore, in this paper, we aim to explore: (1) the scale relationship between the peak flows and the basin area under changing environments; (2) the validation of the scale invariance theory; (3) the physical relationship between the event-based scaling theory and the annual flood quantile-based scaling theory in the mesoscale non-nested and partly nested basins; and (4) the modification of the existing uniform flood scaling exponent in the study area. To achieve these objectives, eight simultaneous observed flood events in seven non-nested and partly nested mesoscale sub-basins of the Daqinghe River basin were selected to analyze the flood scaling theory. The results showed that there was a scaling relationship between the flood peaks and watershed area for the flood events, and the scale invariance theory was also supported herein. To analyze the effect of the environmental conditions on flood scaling in the Daqinghe River basin, the flood events were reconstructed after the change point (the year 1979). It was found that the flood scaling exponents of the reconstructed flood events are larger than those of the observed events after the change point. The flood scaling exponent changed with flood events, varying from 0.65 to 1.26 when considering the basin area as the independent variable, and decreasing with a minimum of 0.36 when taking the rainfall characteristics into consideration. It was also found that the mean of the event-based scaling exponents is larger than the annual flood quantile-based scaling exponents.


Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 343
Author(s):  
Wiwandari Handayani ◽  
Uchendu Eugene Chigbu ◽  
Iwan Rudiarto ◽  
Intan Hapsari Surya Putri

This study explores urbanization and flood events in the northern coast of Central Java with river basin as its unit of analysis. Two types of analysis were applied (i.e., spatial data and non-spatial data analysis) at four river basin areas in Central Java—Indonesia. The spatial analysis is focused on the assessment of LULC change in 2009–2018 based on Landsat Imagery. The non-spatial data (i.e., rural-urban classification and flood events) were overlaid with results of spatial data analyses. Our findings show that urbanization, as indicated by the growth rate of built-up areas, is very significant. Notable exposure to flood has taken place in the urban and potentially urban areas. The emerging discussion indicates that river basins possess dual spatial identity in the urban system (policy- and land-use-related). Proper land use planning and control is an essential instrument to safeguard urban areas (such as the case study area) and the entire island of Java in Indonesia. More attention should be put upon the river basin areas in designing eco-based approach to tackle the urban flood crises. In this case, the role of governance in flood management is crucial.


2019 ◽  
Vol 5 (4) ◽  
pp. 1731-1744 ◽  
Author(s):  
Satish Nagalapalli ◽  
Arnab Kundu ◽  
R. K. Mall ◽  
D. Thattai ◽  
S. Rangarajan

2015 ◽  
Vol 79 (1) ◽  
pp. 537-547 ◽  
Author(s):  
Ana M. Petrović ◽  
Slavoljub S. Dragićević ◽  
Boris P. Radić ◽  
Ana Z. Milanović Pešić

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