Development of flood inundation area GIS database for Samsung-1 drainage sector, Seoul, Korea

2016 ◽  
Vol 49 (12) ◽  
pp. 981-993 ◽  
Author(s):  
Minkwan Oh ◽  
Dongryul Lee ◽  
Hyunhan Kwon ◽  
Dongkyun Kim
Keyword(s):  
Flood Inundation ◽  
Inundation Area ◽  
Gis Database

scholarly journals Flood Inundation Assessment in the Low-Lying River Basin Considering Extreme Rainfall Impacts and Topographic Vulnerability

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 896
Author(s):  
Thanh Thu Nguyen ◽  
Makoto Nakatsugawa ◽  
Tomohito J. Yamada ◽  
Tsuyoshi Hoshino
Keyword(s):  
River Basin ◽  
Extreme Rainfall ◽  
Flood Damage ◽  
Water Levels ◽  
Flood Inundation ◽  
Inundation Area ◽  
Inundation Depth ◽  
Study Results ◽  
Inundation Duration ◽  
Short Time

This study aims to evaluate the change in flood inundation in the Chitose River basin (CRB), a tributary of the Ishikari River, considering the extreme rainfall impacts and topographic vulnerability. The changing impacts were assessed using a large-ensemble rainfall dataset with a high resolution of 5 km (d4PDF) as input data for the rainfall–runoff–inundation (RRI) model. Additionally, the prediction of time differences between the peak discharge in the Chitose River and peak water levels at the confluence point intersecting the Ishikari River were improved compared to the previous study. Results indicate that due to climatic changes, extreme river floods are expected to increase by 21–24% in the Ishikari River basin (IRB), while flood inundation is expected to be severe and higher in the CRB, with increases of 24.5, 46.5, and 13.8% for the inundation area, inundation volume, and peak inundation depth, respectively. Flood inundation is likely to occur in the CRB downstream area with a frequency of 90–100%. Additionally, the inundation duration is expected to increase by 5–10 h here. Moreover, the short time difference (0–10 h) is predicted to increase significantly in the CRB. This study provides useful information for policymakers to mitigate flood damage in vulnerable areas.

PREDICTING FLOOD INUNDATION AREA BY RAINFALL-RUNOFF-INUNDATION MODEL EMULATOR

2020 ◽  
Vol 76 (2) ◽  
pp. I_547-I_552
Author(s):  
Taisei SEKIMOTO ◽  
Satoshi WATANABE ◽  
Shunji KOTSUKI ◽  
Masafumi YAMADA ◽  
Shiori ABE ◽  
...  
Keyword(s):  
Flood Inundation ◽  
Rainfall Runoff ◽  
Inundation Area ◽  
Inundation Model

scholarly journals DETERMINAÇÃO DO LIMITE DA FAIXA DE INUNDAÇÃO COM USO DO HEC-RAS PARA O PARQUE LINEAR DO CÓRREGO MACAMBIRA EM GOIÂNIA, GOIÁS (doi:10.5216/reec.V11i1.32101)

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Fernanda Almeida de Oliveira ◽  
Carolina Queiroz Arantes ◽  
Juliana Almeida de Oliveira ◽  
Tatiane Souza Rodrigues Pereira ◽  
Tatiane Souza Rodrigues Pereira ◽  
...  
Keyword(s):  
Drainage System ◽  
Urban Stream ◽  
Flood Inundation ◽  
Public Park ◽  
Inundation Area ◽  
Hydrodynamic Study ◽  
The Subject ◽  
Small Industries ◽  
The City ◽  
Natural Channel

RESUMO: O presente trabalho teve por objetivo delimitar as áreas inundáveis do Córrego Macambira para implantação de um parque linear. Esse curso d'água é objeto de um projeto denominado Programa Urbano Ambiental Macambira-Anicuns com a finalidade de transformar as margens de dois córregos em um parque para população do município de Goiânia-GO. O curso d'água em questão, não diferente dos outros presentes na área urbana, atualmente se encontra degradado e com as áreas de várzea ocupadas desordenadamente por habitações, comércios, pequenas plantações e indústrias. Para a delimitação do perímetro máximo do parque, sua área de abrangência, foi necessário um estudo hidrodinâmico com a delimitação da faixa de inundação das margens do córrego urbano Macambira, em Goiânia, utilizando topografia de alta resolução e o software HEC-RAS. De forma geral, a mancha de inundação obtida para a área em estudo apresentou estar dentro da calha natural inundável do curso d'água na maior parte do tempo. No entanto, alguns pontos ocorrem transbordamentos, que atingem as ruas e locais de áreas habitadas, podendo chegar a até 70 metros a partir da calha natural. Dessa forma, a modelagem por HEC-RAS permitiu contemplar o diagnóstico atual do funcionamento hidrodinâmico do sistema de drenagem do Córrego Macambira com foco no comportamento hidráulico da calha de drenagem existente, servindo de base para o projeto, para que se posa estabelecer estratégias de intervenções eficazes mais apropriadas para cada situação. ABSTRACT: This study aimed to define the flood inundation area of the stream Macambira to implement a linear park. This stream is the subject of a project called Urban Environmental Program-Macambira Anicuns, which aims to transform the banks of these two streams in a public park for the city of Goiania. The stream in question, not different from the others in the urban area, is currently degraded and the floodplain areas occupied by disorderly houses, shops, small industries and plantations. To define the maximum perimeter of the park, its area of coverage, a hydrodynamic study was necessary with the delimitation of flood area of Macambira's urban stream margins, in Goiania, using high-resolution topography and HEC-RAS software. Overall, the flood of band obtained for the study area was flooded in the natural channel of the stream. However, there are overflowing in some points, reaching the streets and places of populated areas, reaching up to 70 meters from the natural channel. Thus, the modeling HEC-RAS allowed contemplate the current diagnosis of the drainage system Stream Macambira, focusing on the hydraulic behavior of the existing drainage channel, providing the basis for the project, so that we can establish effective intervention strategies more appropriate for each situation.

scholarly journals STUDI PEMETAAN DAERAH GENANGAN BANJIR DAS SEI KAMBING DENGAN SISTEM INFORMASI GEOGRAFIS

Teras Jurnal ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 165
Author(s):  
Asril Zevri
Keyword(s):  
River Basin ◽  
Return Period ◽  
Daily Rainfall ◽  
Water Levels ◽  
Disaster Mitigation ◽  
Flood Inundation ◽  
The Public ◽  
Inundation Area ◽  
Flood Level ◽  
The Impact

<p><em>Sei Sikambing River Basin is one of the Sub Das of Deli River which has an important role in water requirement in Medan City. Rainfall with high intensity is supported by changes in land use causing floods which reach 0.6 m to 1 m from river banks. The purpose of this study was to map the Sei Kambing River basin flood inundation area as information to the public in disaster mitigation efforts. The scope of this research is to analyze the maximum daily rainfall with a return period of 2 to 100 years, analyze flood discharge with a return period of 2 to 100, analyze flood water levels with HECRAS software, and spatially map flood inundation areas with GIS. The results showed that the return flood rate of the Sikambing watershed with a 25-year return period of 211.94 m<sup>3</sup>/s caused the flood level of the Sikambing watershed to be between 1.7 m to 3.7 m. The Sikambing watershed flood inundation area reached an area of 1.19 Km<sup>2</sup> which resulted in the impact of flooding on 5 sub-districts in Medan, namely Medan Selayang District, Medan Sunggal, Medan Petisah, Medan Helvetia, and West Medan.</em><em></em></p>

scholarly journals On-line multistep-ahead inundation depth forecasts by recurrent NARX networks

2012 ◽  
Vol 9 (10) ◽  
pp. 11999-12028 ◽  
Author(s):  
H.-Y. Shen ◽  
L.-C. Chang
Keyword(s):  
Nonlinear Dynamical Systems ◽  
Flood Inundation ◽  
Forecast Period ◽  
Nonlinear Dynamical ◽  
Inundation Area ◽  
Inundation Depth ◽  
On Line ◽  
Dimensional Simulation ◽  
Hydrological Fields ◽  
Nonlinear Autoregressive

Abstract. Various types of artificial neural networks (ANNs) have been successfully applied in hydrological fields, but relatively scant on flood inundation forecast. This study proposes a recurrent configuration of nonlinear autoregressive with exogenous inputs (NARX) network, called R-NARX, to forecast multistep-ahead inundation depths in an inundation area. The proposed R-NARX is constructed based on the recurrent neural network (RNN), which is commonly used for modeling nonlinear dynamical systems. The models were trained and tested based on a large number of inundation data generated by a well validated two-dimensional simulation model at thirteen inundation-prone sites in Yilan County, Taiwan. We demonstrate that the R-NARX model can effectively inhibit error growth and accumulation when being applied to on-line multistep-ahead inundation forecasts over a long lasting forecast period. For comparison, a feedforward time-delay and an on-line feedback configuration of NARX networks (T-NARX and O-NARX) were performed. The results show that (1) T-NARX networks cannot make on-line forecasts due to unavailable inputs in the constructed networks even though they provide the best performances for reference only; and (2) R-NARX networks consistently outperform O-NARX networks and can be adequately applied to on-line multistep-ahead forecasts of inundation depths in the study area during typhoon events.

scholarly journals Flood Inundation of the Morphological Complexes of the Oka River: Geographic Information Analysis of the Inundated Areas

2021 ◽  
pp. 163-171
Author(s):  
А.Ю. Воробьев
Keyword(s):  
Geographic Information ◽  
Flood Inundation ◽  
Areal Extent ◽  
Information Analysis ◽  
Inundation Area

По результатам геоинформационного моделирования контуров весеннего затопления поймы реки Оки в ее Рязанском расширении в 2018 году на участке 742–662 км от устья была определена общая площадь покрытой водой территории в пределах днища окской долины. Был также произведен расчет меры затопляемости каждого из локальных морфологических комплексов форм рельефа, выделенных нами для Рязанского расширения ранее. С помощью моделирования, основанного на анализе спутниковых снимков и собственных полевых данных, выявлено наиболее полное заметание гребнем половодной волны сегментно-гривистой поймы современного пояса меандрирования по сравнению с локальными морфологическими комплексами прочих типов. The geographic information analysis of the flood inundation area of the Oka floodplain in the Ryazan region (742–662 km away from the estuary), which was performed in 2018, enabled the author of the article to assess the extent of inundated area within the Oka valley. The author investigated the areal extent of inundation of all the morphological complexes of the Oka. GIS-based modelling showed that the segmental-ridge floodplain meander belt was inundated to a greater extent than other local morphological complexes.

Application of Google earth to investigate the change of flood inundation area due to flood detention dam

2014 ◽  
Vol 8 (3) ◽  
pp. 627-638 ◽  
Author(s):  
Mohamad Reza Madadi ◽  
Hazi Mohammad Azamathulla ◽  
Mahmood Yakhkeshi
Keyword(s):  
Google Earth ◽  
Flood Inundation ◽  
Inundation Area
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