scholarly journals Assessment of systemic vulnerability in flood prone areas

2009 ◽  
Author(s):  
S. Pascale ◽  
L. Giosa ◽  
F. Sdao ◽  
A. Sole
Keyword(s):  
Flood Prone Areas

ANALYSIS OF FLOOD PRONE AREAS IN NAGAN RAYA REGENCY ACEH PROVINCE

2020 ◽  
Vol 5 (1) ◽  
pp. 414
Author(s):  
Amsar Yunan
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Flood Hazard ◽  
Parameter Analysis ◽  
Thematic Maps ◽  
Aceh Province ◽  
Object Area ◽  
Use Factors ◽  
Hazard Levels ◽  
Flood Prone Areas

Maps or remote sensing can be interpreted as the process of reading using various sensors where data collected remotely can be analyzed to obtain information about the object, area or phenomenon. In this study, the author develops a flood disaster mapping information system applying overlays with scoring between the parameters. The determinant factors to provide flood hazard levels includes rainfall factors in the dasarian unit, land-use factors and land-use arbitrary factors. Of all these parameters, a scoring process will be carried out by assigning weights and values according to their respective classifications, then an overlay process will be performed using ArcGIS software. The author conducted this study in Nagan Raya Regency since this area experiences flooding annually.  Framing a thematic map of flood-prone areas in Nagan Raya Regency was designed using the flood hazard method. Spatial data that has been presented in the form of thematic maps as parameters are land use maps, landform maps, and dasarian rainfall maps (per 10 daily). The design of thematic maps that are prone to flooding is done by overlapping (overlay process). In contrast, the determination of the classification is done by adding scores to each parameter, with low, medium and high hazard levels. Parameter analysis shows the level of flood vulnerability in Nagan Raya Regency of each district, namely Beutong: high 0.21%, medium 13.68%, low 86.12%. Seunagan District: high 51.17%, medium 48.83%, low 0%. Seunagan Timur District: high 10.07%, medium 46.18%, low 43.75%. Kuala Subdistrict: high 29.66%, medium 68.99%, low 1.35%. Darul Makmur District: high 8.57%, medium 63.37%, low 28.06%. From the overall results of the study, it can be concluded that the danger of flooding in Nagan Raya Regency with a level of vulnerability: high 9.92%, moderate 42.65% and low 47.43%.

Comparative urban capacity analysis for flood-prone areas: method and a case study of Sidoarjo, Indonesia

2021 ◽  
Author(s):  
D. R. Hizbaron ◽  
N. Ismayani ◽  
F. N. Ernawan ◽  
N. N. A. Puspitasari ◽  
Y. Yulianda ◽  
...  
Keyword(s):  
Capacity Analysis ◽  
Flood Prone Areas

Retrofitting and Rehabilitation of Vernacular housing in Flood Prone Areas in Sri Lanka

2021 ◽  
pp. 102420
Author(s):  
Shawn L. Platt ◽  
Gihan Ranasinghe ◽  
H.A.D.G.S. Jayathilaka ◽  
C. Jayasinghe ◽  
M.T.R. Jayasinghe ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Flood Prone Areas

Assessing flood vulnerability using a rule-based fuzzy system

2012 ◽  
Vol 66 (8) ◽  
pp. 1766-1773 ◽  
Author(s):  
J. Yazdi ◽  
S. A. A. S. Neyshabouri
Keyword(s):  
Fuzzy Rule ◽  
Vulnerability Analysis ◽  
Human Knowledge ◽  
Small Watershed ◽  
Flood Vulnerability ◽  
Rule Based ◽  
Rule Based System ◽  
Vulnerability Map ◽  
Flood Prone Areas

Population growth and urbanization in the last decades have increased the vulnerability of properties and societies in flood-prone areas. Vulnerability analysis is one of the main factors used to determine the necessary measures of flood risk reduction in floodplains. At present, the vulnerability of natural disasters is analyzed by defining the various physical and social indices. This study presents a model based on a fuzzy rule-based system to address various ambiguities and uncertainties from natural variability, and human knowledge and preferences in vulnerability analysis. The proposed method is applied for a small watershed as a case study and the obtained results are compared with one of the index approaches. Both approaches present the same ranking for the sub-basin's vulnerability in the watershed. Finally, using the scores of vulnerability in different sub-basins, a vulnerability map of the watershed is presented.

Meso-scale hazard zoning of potentially flood prone areas

2015 ◽  
Vol 527 ◽  
pp. 316-325 ◽  
Author(s):  
Raffaele De Risi ◽  
Fatemeh Jalayer ◽  
Francesco De Paola
Keyword(s):  
Hazard Zoning ◽  
Meso Scale ◽  
Flood Prone Areas
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