Effects of an extreme flood on river morphology (case study: Karoon River, Iran)

Geomorphology ◽  
2018 ◽  
Vol 304 ◽  
pp. 30-39 ◽  
Author(s):  
Saleh Yousefi ◽  
Somayeh Mirzaee ◽  
Saskia Keesstra ◽  
Nicola Surian ◽  
Hamid Reza Pourghasemi ◽  
...  
Keyword(s):  
River Morphology ◽  
Karoon River ◽  
Extreme Flood

Geomorphological change detection of an urban meander loop caused by an extreme flood using remote sensing and bathymetry measurements (a case study of Karoon River, Iran)

2020 ◽  
pp. 125712
Author(s):  
Saleh Yousefi ◽  
Hamid Reza Pourghasemi ◽  
Omid Rahmati ◽  
Saskia Keesstra ◽  
Sayed Naim Emami ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Karoon River ◽  
Extreme Flood

scholarly journals Flooding and Land Use Change in Southeast Sulawesi, Indonesia

Land ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 139 ◽  
Author(s):  
Lisa C. Kelley ◽  
Agung Prabowo
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Management Practices ◽  
Vegetable Production ◽  
Flood Events ◽  
Daily Production ◽  
Extreme Flood ◽  
Agrarian Societies

Flooding is a routine occurrence throughout much of the monsoonal tropics. Despite well-developed repertoires of response, agrarian societies have been ‘double exposed’ to intensifying climate change and agro-industrialization over the past several decades, often in ways that alter both the regularity of flood events and individual and community capacity for response. This paper engages these tensions by exploring everyday experiences of and responses to extreme flood events in a case study village in Southeast Sulawesi, Indonesia, which has also been the site of corporate oil palm development since 2010. We first reconstruct histories of extreme flood events along the Konawe’eha River using oral histories and satellite imagery, describing the role of these events in straining the terms of daily production and reproduction. We then outline the ways smallholder agriculturalists are responding to flood events through alterations in their land use strategies, including through the sale or leasing of flood-prone lands, the relocation of riverine vegetable production to hillside locations, and adoption of new cropping choices and management practices. We highlight the role of such responses as a driver of ongoing land use change, potentially in ways that increase systemic vulnerability to floods moving forward.

scholarly journals Dependence of model-based extreme flood estimation on the calibration period: case study of the Kamp River (Austria)

2015 ◽  
Vol 60 (7-8) ◽  
pp. 1424-1437 ◽  
Author(s):  
P. Brigode ◽  
E. Paquet ◽  
P. Bernardara ◽  
J. Gailhard ◽  
F. Garavaglia ◽  
...  
Keyword(s):  
Calibration Period ◽  
Model Based ◽  
Extreme Flood ◽  
Flood Estimation

Powhatan, Louisiana: A Case Study in River Morphology

1999 ◽  
Vol 14 (2) ◽  
pp. 70-72
Author(s):  
Paul R. Baumann
Keyword(s):  
River Morphology

scholarly journals Assessing the extreme risk of coastal inundation due to climate change: A case study of Rongcheng, China

2017 ◽  
Author(s):  
Aiqing Feng ◽  
Jiangbo Gao ◽  
Shaohong Wu ◽  
Yanzhong Li ◽  
Xiliu Yue
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Sea Level ◽  
Water Levels ◽  
Assessment Model ◽  
Rcp Scenarios ◽  
Extreme Water Levels ◽  
Extreme Risk ◽  
Extreme Flood

Abstract. Extreme water levels, caused by the joint occurrence of storm surges and high tides, always lead to super floods along coastlines. Given the ongoing climate change, this study explored the risk of future sea-level rise on the extreme inundation by combining P-III model and losses assessment model. Taking Rongcheng as a case study, the integrated risk of extreme water levels was assessed for 2050 and 2100 under three Representative Concentration Pathways (RCP) scenarios of 2.6, 4.5, and 8.5. Results indicated that the increase in total direct losses would reach an average of 60 % in 2100 as a 0.82 m sea-level rise under RCP 8.5. In addition, affected population would be increased by 4.95 % to 13.87 % and GDP (Gross Domestic Product) would be increased by 3.66 % to 10.95 % in 2050 while the augment of affected population and GDP in 2100 would be as twice as in 2050. Residential land and farmland would be under greater flooding risk in terms of the higher exposure and losses than other land-use types. Moreover, this study indicated that sea-level rise shortened the recurrence period of extreme water levels significantly and extreme events would become common. Consequently, the increase in frequency and possible losses of extreme flood events suggested that sea-level rise was very likely to exacerbate the extreme risk of coastal zone in future.

scholarly journals MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania

2016 ◽  
Vol 64 (4) ◽  
pp. 329-336 ◽  
Author(s):  
Vasile Craciunescu ◽  
Gheorghe Stancalie ◽  
Anisoara Irimescu ◽  
Simona Catana ◽  
Denis Mihailescu ◽  
...  
Keyword(s):  
Social Impact ◽  
Observation Data ◽  
Local Conditions ◽  
Software Licenses ◽  
Extreme Flood ◽  
Flood Detection ◽  
Earth Observation Data ◽  
Flooded Area ◽  
Geospatial Web Services

Abstract Flooding remains the most widely distributed natural hazard in Europe, leading to significant economic and social impact. Earth observation data is presently capable of making fundamental contributions towards reducing the detrimental effects of extreme floods. Technological advance makes development of online services able to process high volumes of satellite data without the need of dedicated desktop software licenses possible. The main objective of the case study is to present and evaluate a methodology for mapping of flooded areas based on MODIS satellite images derived indices and using state-of-the-art geospatial web services. The methodology and the developed platform were tested with data for the historical flood event that affected the Danube floodplain in 2006 in Romania. The results proved that, despite the relative coarse resolution, MODIS data is very useful for mapping the development flooded area in large plain floods. Moreover it was shown, that the possibility to adapt and combine the existing global algorithms for flood detection to fit the local conditions is extremely important to obtain accurate results.

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