GRASP OF FLOOD RISK OF MEDIUM AND SMALL SIZE RIVERS BY RAINFALL-RUNOFF AND FLOOD-INUNDATION ANALYSIS ~THE CASE OF THE KATURA RIVER IN KYUSHU-HOKUBU HEAVY RAIN ON JULY 2017~

2018 ◽  
Vol 74 (5) ◽  
pp. I_1483-I_1488
Author(s):  
Mirei SHIGE-EDA ◽  
Juichiro AKIYAMA ◽  
Ryosuke KATSUHARA
Keyword(s):  
Flood Risk ◽  
Heavy Rain ◽  
Flood Inundation ◽  
Rainfall Runoff

scholarly journals NUMERICAL SIMULATION OF RAINFALL-RUNOFF AND FLOOD INUNDATION FLOWS IN THE YAMAKUNI RIVER BASIN AT KYUSHU-HOKUBU HEAVY RAIN IN 2014

2015 ◽  
Vol 71 (4) ◽  
pp. I_1405-I_1410
Author(s):  
Mirei SHIGE-EDA ◽  
Juichiro AKIYAMA ◽  
Takuma MATSUMOTO ◽  
Shunpei YAMAMOTO ◽  
Yu KAWAKAMI
Keyword(s):  
Numerical Simulation ◽  
River Basin ◽  
Heavy Rain ◽  
Flood Inundation ◽  
Rainfall Runoff

DYNAMIC RAINFALL-RUNOFF AND FLOOD-INUNDATION ANALYSIS OF AKATANI RIVER BASIN IN KYUSHU-HOKUBU HEAVY RAIN IN 2017

2018 ◽  
Vol 74 (5) ◽  
pp. I_697-I_702
Author(s):  
Mirei SHIGE-EDA ◽  
Juichiro AKIYAMA ◽  
Shaobo WANG ◽  
Ryosuke KATSUHARA
Keyword(s):  
River Basin ◽  
Heavy Rain ◽  
Flood Inundation ◽  
Rainfall Runoff

scholarly journals Assessment of Flood Risk Exposure for the Foshan-Zhongshan Region in Guangdong Province, China

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1159
Author(s):  
Qi Zhang ◽  
Wei Jian ◽  
Edmond Yat Man Lo
Keyword(s):  
Flood Risk ◽  
Pearl River Delta ◽  
Risk Exposure ◽  
Economic Losses ◽  
Flood Inundation ◽  
Rainfall Runoff ◽  
Proposed Model ◽  
Rainfall Runoff Model ◽  
The Pearl River ◽  
Runoff Model

Floods have caused 20% of the worldwide economic losses resulting from catastrophe events over 2008 to 2018. In China, the annual flood economic losses have exceeded CNY 100 billion from 1990 to 2010, which is equivalent to 1% to 3% of China’s Gross Domestic Product (GDP). This paper presents a rainfall-runoff model coupled with an inundation estimation to assess the flood risk for a basin within the Foshan-Zhongshan area of the Pearl River Delta (PRD) region in China. A Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) model was constructed for the crisscrossing river network in the study basin where the West and North Rivers meet, using publicly accessible meteorological, hydrological and topographical datasets. The developed model was used to analyze two recent flood events, that in July 2017 with large upstream river inflows, and in June 2018 with high local rainfall. Results were further used to develop the needed river rating curves within the basin. Two synthetic events that consider more severe meteorological and hydrological conditions were also analyzed. These results demonstrate the capability of the proposed model for quick assessment of potential flood inundation and the GDP exposure at risk within the economically important PRD region.

scholarly journals A reliable rainfall–runoff model for flood forecasting: review and application to a semi-urbanized watershed at high flood risk in Italy

2016 ◽  
Vol 48 (3) ◽  
pp. 726-740 ◽  
Author(s):  
Daniele Masseroni ◽  
Alessio Cislaghi ◽  
Stefania Camici ◽  
Christian Massari ◽  
Luca Brocca
Keyword(s):  
Flood Risk ◽  
Climatic Conditions ◽  
Rainfall Runoff ◽  
Number Of Factors ◽  
Wide Range ◽  
Median Volume ◽  
Flood Estimation ◽  
High Flood ◽  
Rainfall Runoff Model ◽  
Flooding Events

Many rainfall–runoff (RR) models are available in the scientific literature. Selecting the best structure and parameterization for a model is not straightforward and depends on a broad number of factors, including climatic conditions, catchment characteristics, temporal/spatial resolution and model objectives. In this study, the RR model ‘Modello Idrologico Semi-Distribuito in continuo’ (MISDc), mainly developed for flood simulation in Mediterranean basins, was tested on the Seveso basin, which is stressed several times a year by flooding events mainly caused by excessive urbanization. The work summarizes a compendium of the MISDc applications over a wide range of catchments in European countries and then it analyses the performances over the Seveso basin. The results show a good fit behaviour during both the calibration and the validation periods with a Nash–Sutcliffe coefficient index larger than 0.9. Moreover, the median volume and peak discharge errors calculated on several flood events were less than 25%. In conclusion, we can be assured that the reliability and computational speed could make the MISDc model suitable for flood estimation in many catchments of different geographical contexts and land use characteristics. Moreover, MISDc will also be useful for future support of real-time decision-making for flood risk management in the Seveso basin.

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 Assessment of Flood Hazard and Agriculture Damage Under Climate Change in the Bagmati River Basin of Nepal

2019 ◽  
Vol 8 (2) ◽  
pp. 55-69 ◽  
Author(s):  
Badri Bhakta Shrestha
Keyword(s):  
River Basin ◽  
Flood Risk ◽  
Damage Assessment ◽  
Growth Stage ◽  
Flood Hazard ◽  
Flood Damage ◽  
Flood Risk Management ◽  
Flood Inundation ◽  
Flood Hazards ◽  
Bagmati River

Assessment of flood hazard and damage is a prerequisite for flood risk management in the river basins. The mitigation plans for flood risk management are mostly evaluated in quantified terms as it is important in decision making process. Therefore, analysis of flood hazards and quantitative assessment of potential flood damage is very essential for mitigating and managing flood risk. This study focused on assessment of flood hazard and quantitative agricultural damage in the Bagmati River basin including Lal Bakaiya River basin of Nepal under climate change conditions. Flood hazards were simulated using Rainfall Runoff Inundation (RRI) model. MRI-AGCM3.2S precipitation outputs of present and future climate scenarios were used to simulate flood hazards, flood inundation depth, and duration. Flood damage was assessed in the agricultural sector, focusing on flood damage to rice crops. The flood damage assessment was conducted by defining flood damage to rice crops as a function of flood depth, duration, and growth stage of rice plants and using depth-duration-damage function curves for each growth stage of rice plants. The hazard simulation and damage assessment were conducted for 50- and 100-year return period cases. The results show that flood inundation area and agricultural damage area may increase in the future by 41.09 % and 39.05 % in the case of 50-year flood, while 44.98 % and 40.76 % in the case of 100-year flood. The sensitivity to changes in flood extent area and damage with the intensity of return period was also analyzed.

scholarly journals Flood Risk Management Methodology for Lakes and Adjacent Areas: The Lake Pamvotida Paradigm

Proceedings ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 21
Author(s):  
George Papaioannou ◽  
Athanasios Loukas ◽  
Lampros Vasiliades
Keyword(s):  
Risk Management ◽  
Natural Hazards ◽  
Flood Risk ◽  
Urban Areas ◽  
Hydrologic Modeling ◽  
Flood Risk Management ◽  
Flood Inundation ◽  
Hydrodynamic Simulations ◽  
Flood Inundation Modeling ◽  
Inundation Modeling

In recent decades, natural hazards have caused major disasters in natural and man-made environments. Floods are one of the most devasting natural hazards, with high levels of mortality, destruction of infrastructure, and large financial losses. This study presents a methodological approach for flood risk management at lakes and adjacent areas that is based on the implementation of the EU Floods Directive (2007/60/EC) in Greece. Contemporary engineering approaches have been used for the estimation of the inflow hydrographs. The hydraulic–hydrodynamic simulations were implemented in the following order: (a) hydrologic modeling of lake tributaries and estimation flood flow inflow to the lake, (b) flood inundation modeling of lake tributaries, (c) simulation of the lake as a closed system, (d) simulation of the lake outflows to the adjacent areas, and (e) simulation of flood inundation of rural and urban areas adjacent to the lake. The hydrologic modeling was performed using the HEC-HMS model, and the hydraulic-hydrodynamic simulations were implemented with the use of the two-dimensional HEC-RAS model. The simulations were applied to three soil moisture conditions (dry, medium and wet) and three return periods (T = 50, T = 100 and T = 1000 years) and a methodology was followed for the flood inundation modeling in urban areas. Upper and lower estimates on water depths, flow velocities and inundation areas are estimated for all inflow hydrographs and for varying roughness coefficient values. The proposed methodology presents the necessary steps and the results for the assessment of flood risk management and mapping for lake and adjacent urban and rural areas. The methodology was applied to Lake Pamvotida in Epirus, Greece, Ioannina.

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