Assessing the impact of resolution and soil datasets on flash-flood modelling

2018 ◽  
Author(s):  
Renata Romanowicz
Keyword(s):  
Flash Flood ◽  
Flood Modelling ◽  
The Impact

scholarly journals Assessing the impact of resolution and soil datasets on flash-flood modelling

2019 ◽  
Vol 23 (3) ◽  
pp. 1801-1818 ◽  
Author(s):  
Alexane Lovat ◽  
Béatrice Vincendon ◽  
Véronique Ducrocq
Keyword(s):  
Land Cover ◽  
Soil Texture ◽  
Flash Flood ◽  
Grid Cell ◽  
Coupled System ◽  
High Water ◽  
Catchment Scale ◽  
Flood Modelling ◽  
Flood Simulations ◽  
The Impact

Abstract. The present study assesses the impacts of two grid resolutions and the descriptors of soil texture and land cover on flash-flood modelling at local and basin scales. The ISBA-TOP coupled system, which is dedicated to Mediterranean flash-flood simulations, is used with two grid-cell sizes (300 and 1000 m), two soil texture datasets, and two land use databases to model 12 past flash-flood events in southeastern France. The skill of the hydrological simulations is assessed using conventional data (discharge measurements from operational networks) and proxy data such as post-event surveys and high-water marks. The results show significant differences between the experiments in terms of both the simulated river discharge and the spatial runoff, whether at the catchment scale or at the local scale. The spatial resolution has the largest impact on the hydrological simulations. In this study, it is also shown that the soil texture has a larger impact on the results than the land cover.

scholarly journals Assessing the impact of resolution and soil datasets on flash-flood modelling

2018 ◽  
Author(s):  
Alexane Lovat ◽  
Béatrice Vincendon ◽  
Véronique Ducrocq
Keyword(s):  
Land Cover ◽  
Soil Texture ◽  
Flash Flood ◽  
Grid Cell ◽  
Coupled System ◽  
High Water ◽  
Catchment Scale ◽  
Flood Modelling ◽  
Flood Simulations ◽  
The Impact

Abstract. The present study assesses the impacts of the grid resolution and the descriptors of soil texture and land cover on flash-flood modelling at local and basin scales. The ISBA-TOP coupled system, which is dedicated to Mediterranean flash-flood simulations, is used with two grid-cell sizes (300 m and 1000 m) and various soil datasets to model 12 past flash-flood events in southeastern France. The skill of the hydrological simulations is assessed using conventional data (discharge measurements from operational networks) and proxy data such as post-event surveys and high-water marks. The results show significant differences between the experiments in terms of both the simulated river discharge and the spatial runoff, whether at the catchment scale or at the local scale. The spatial resolution has the largest impact on the hydrological simulations. In this study, it is also shown that the soil texture has a larger impact on the results than the land cover.

scholarly journals Hydrometeorological extremes derived from taxation records for south-eastern Moravia, Czech Republic, 1751–1900 AD

2012 ◽  
Vol 8 (2) ◽  
pp. 467-481 ◽  
Author(s):  
R. Brázdil ◽  
K. Chromá ◽  
H. Valášek ◽  
L. Dolák
Keyword(s):  
Czech Republic ◽  
Crop Yields ◽  
Extreme Event ◽  
Flash Flood ◽  
Secondary Importance ◽  
Agricultural Work ◽  
South Eastern ◽  
Tax Relief ◽  
Taxation System ◽  
The Impact

Abstract. Historical written records associated with tax relief at ten estates located in south-eastern Moravia (Czech Republic) are used for the study of hydrometeorological extremes and their impacts during the period 1751–1900 AD. At the time, the taxation system in Moravia allowed farmers to request tax relief if their crop yields had been negatively affected by hydrological and meteorological extremes. The documentation involved contains information about the type of extreme event and the date of its occurrence, while the impact on crops may often be derived. A total of 175 extreme events resulting in some kind of damage are documented for 1751–1900, with the highest concentration between 1811 and 1860 (74.9% of all events analysed). The nature of events leading to damage (of a possible 272 types) include hailstorm (25.7%), torrential rain (21.7%), flood (21.0%), followed by thunderstorm, flash flood, late frost and windstorm. The four most outstanding events, affecting the highest number of settlements, were thunderstorms with hailstorms (25 June 1825, 20 May 1847 and 29 June 1890) and flooding of the River Morava (mid-June 1847). Hydrometeorological extremes in the 1816–1855 period are compared with those occurring during the recent 1961–2000 period. The results obtained are inevitably influenced by uncertainties related to taxation records, such as their temporal and spatial incompleteness, the limits of the period of outside agricultural work (i.e. mainly May–August) and the purpose for which they were originally collected (primarily tax alleviation, i.e. information about hydrometeorological extremes was of secondary importance). Taxation records constitute an important source of data for historical climatology and historical hydrology and have a great potential for use in many European countries.

scholarly journals KESIAPAN WARGA SEKOLAH DALAM MENGHADAPI BENCANA BANJIR BANDANG DI SMA NEGERI 2 BOGOR

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Chyndy Kasmila ◽  
Tirton Nefianto ◽  
L Lasmono
Keyword(s):  
Disaster Preparedness ◽  
Teaching And Learning ◽  
Flash Flood ◽  
Provincial Government ◽  
Preparedness Planning ◽  
Analysis Technique ◽  
Disaster Preparedness Planning ◽  
Knowledge And Attitude ◽  
The Impact ◽  
Research Analysis

Disaster preparedness in schools is still on the minimum level, whereas schools necessarily are the centers of teaching and learning activities to give proper education for the nation’s better future. The purpose of this research is to analyze the preparedness of SMAN 2 Bogor to face flash flood disaster, and to analyze the impact of its occurrence. This research uses qualitative method, and the locus is Sukaresmi Village, Tanah Sareal Sub-district, Bogor City, West Java. The data is obtained from predetermined informants and analyzed by qualitative analysis technique. The parameters used in the analysis are knowledge and attitude parameters, policies and guidelines, emergency response plans, disaster warning systems, also resource mobilization. The results show that disaster preparedness in SMAN 2 Bogor is held by using various resources of school residents and supporting facilities, yet it has not been maximally done to increase the capacity of students and other elements of SMAN 2 Bogor. In general, schools only focus on the academic achievement, which ultimately leads to the lack of sensitivity toward people’s welfare needs. Awareness of disaster preparedness should not be owned only by the students, but also by educators, officials, and all elements of the school. However, this research analysis focuses more on the students. The unawareness of disaster preparedness planning is the main factor which makes the socialization and capacity improvement can not be done sustainably. Co-ordination and consultation with Provincial Government and Regional Disaster Management Agency is the necessary thing to do for the disaster prepardness planning.

scholarly journals Impact of multiple radar reflectivity data assimilation on the numerical simulation of a flash flood event during the HyMeX campaign

2017 ◽  
Vol 21 (11) ◽  
pp. 5459-5476 ◽  
Author(s):  
Ida Maiello ◽  
Sabrina Gentile ◽  
Rossella Ferretti ◽  
Luca Baldini ◽  
Nicoletta Roberto ◽  
...  
Keyword(s):  
Hydrological Cycle ◽  
Initial Conditions ◽  
Flash Flood ◽  
Central Italy ◽  
Heavy Precipitation ◽  
Radar Reflectivity ◽  
Precipitation Event ◽  
Italian Regions ◽  
Reflectivity Data ◽  
The Impact

Abstract. An analysis to evaluate the impact of multiple radar reflectivity data with a three-dimensional variational (3-D-Var) assimilation system on a heavy precipitation event is presented. The main goal is to build a regionally tuned numerical prediction model and a decision-support system for environmental civil protection services and demonstrate it in the central Italian regions, distinguishing which type of observations, conventional and not (or a combination of them), is more effective in improving the accuracy of the forecasted rainfall. In that respect, during the first special observation period (SOP1) of HyMeX (Hydrological cycle in the Mediterranean Experiment) campaign several intensive observing periods (IOPs) were launched and nine of which occurred in Italy. Among them, IOP4 is chosen for this study because of its low predictability regarding the exact location and amount of precipitation. This event hit central Italy on 14 September 2012 producing heavy precipitation and causing several cases of damage to buildings, infrastructure, and roads. Reflectivity data taken from three C-band Doppler radars running operationally during the event are assimilated using the 3-D-Var technique to improve high-resolution initial conditions. In order to evaluate the impact of the assimilation procedure at different horizontal resolutions and to assess the impact of assimilating reflectivity data from multiple radars, several experiments using the Weather Research and Forecasting (WRF) model are performed. Finally, traditional verification scores such as accuracy, equitable threat score, false alarm ratio, and frequency bias – interpreted by analysing their uncertainty through bootstrap confidence intervals (CIs) – are used to objectively compare the experiments, using rain gauge data as a benchmark.

scholarly journals Spatiotemporal Characteristics and Driving Force Analysis of Flash Floods in Fujian Province

2020 ◽  
Vol 9 (2) ◽  
pp. 133 ◽  
Author(s):  
Junnan Xiong ◽  
Quan Pang ◽  
Chunkun Fan ◽  
Weiming Cheng ◽  
Chongchong Ye ◽  
...  
Keyword(s):  
Driving Forces ◽  
Flash Flood ◽  
Principal Component ◽  
Flash Floods ◽  
Fujian Province ◽  
Spatiotemporal Characteristics ◽  
Middle Mountains ◽  
Driving Force Analysis ◽  
Economic Development Model ◽  
The Impact

Flash floods are one of the most destructive natural disasters. The comprehensive identification of the spatiotemporal characteristics and driving factors of a flash flood is the basis for the scientific understanding of the formation mechanism and the distribution characteristics of flash floods. In this study, we explored the spatiotemporal patterns of flash floods in Fujian Province from 1951 to 2015. Then, we analyzed the driving forces of flash floods in geomorphic regions with three different grades based on three methods, namely, geographical detector, principal component analysis, and multiple linear regression. Finally, the sensitivity of flash floods to the gross domestic product, village point density, annual maximum one-day precipitation (Rx1day), and annual total precipitation from days > 95th percentile (R95p) was analyzed. The analytical results indicated that (1) The counts of flash floods rose sharply from 1988, and the spatial distribution of flash floods mainly extended from the coastal low mountains, hills, and plain regions of Fujian (IIA2) to the low-middle mountains, hills, and valley regions in the Wuyi mountains (IIA4) from 1951 to 2015. (2) From IIA2 to IIA4, the impact of human activities on flash floods was gradually weakened, while the contribution of precipitation indicators gradually strengthened. (3) The sensitivity analysis results revealed that the hazard factors of flash floods in different periods and regions had significant differences in Fujian Province. Based on the above results, it is necessary to accurately forecast extreme precipitation and improve the economic development model of the IIA2 region.

scholarly journals Streamflow prediction in ungauged basins: benchmarking the efficiency of deep learning

2020 ◽  
Vol 163 ◽  
pp. 01001
Author(s):  
Georgy Ayzel ◽  
Liubov Kurochkina ◽  
Eduard Kazakov ◽  
Sergei Zhuravlev
Keyword(s):  
Deep Learning ◽  
Hydrological Model ◽  
State Of The Art ◽  
Flash Flood ◽  
Early Warning Systems ◽  
Model Parameters ◽  
Ungauged Basins ◽  
Streamflow Prediction ◽  
Basin Scale ◽  
The Impact

Streamflow prediction is a vital public service that helps to establish flash-flood early warning systems or assess the impact of projected climate change on water management. However, the availability of streamflow observations limits the utilization of the state-of-the-art streamflow prediction techniques to the basins where hydrometric gauging stations exist. Since the most river basins in the world are ungauged, the development of the specialized techniques for the reliable streamflow prediction in ungauged basins (PUB) is of crucial importance. In recent years, the emerging field of deep learning provides a myriad of new models that can breathe new life into the stagnating PUB methods. In the presented study, we benchmark the streamflow prediction efficiency of Long Short-Term Memory (LSTM) networks against the standard technique of GR4J hydrological model parameters regionalization (HMREG) at 200 basins in Northwest Russia. Results show that the LSTM-based regional hydrological model significantly outperforms the HMREG scheme in terms of median Nash-Sutcliffe efficiency (NSE), which is 0.73 and 0.61 for LSTM and HMREG, respectively. Moreover, LSTM demonstrates the comparable median NSE with that for basin-scale calibration of GR4J (0.75). Therefore, this study underlines the high utilization potential of deep learning for the PUB by demonstrating the new state-of-the-art performance in this field.

Urban Area Response to Flash Flood–Triggering Rainfall, Featuring Human Behavioral Factors: The Case of 22 October 2015 in Attica, Greece

2017 ◽  
Vol 9 (3) ◽  
pp. 621-638 ◽  
Author(s):  
Katerina Papagiannaki ◽  
Vassiliki Kotroni ◽  
Kostas Lagouvardos ◽  
Isabelle Ruin ◽  
Antonis Bezes
Keyword(s):  
Risk Perception ◽  
Flash Flood ◽  
Time Correlation ◽  
Flash Floods ◽  
Space Time ◽  
Coping Responses ◽  
Accumulated Rainfall ◽  
Flood Impact ◽  
And Coping ◽  
The Impact

Abstract Over the past several decades, flash floods that occurred in Attica, Greece, caused serious property and infrastructure damages, disruptions in economic and social activities, and human fatalities. This paper investigated the link between rainfall and flash flood impact during the catastrophic event that affected Attica on 22 October 2015, while also addressing human risk perception and behavior as a response to flash floods. The methodology included the analysis of the space–time correlation of rainfall with the citizens’ calls to the emergency fire services for help, and the statistical analysis of people’s responses to an online behavioral survey. The results designated critical rainfall thresholds associated with flash flood impact in the four most affected subareas of the Attica region. The impact magnitude was found to be associated with the localized accumulated rainfall. Vulnerability factors, namely, population density, geographical, and environmental features, may have contributed to the differences in the impact magnitudes between the examined subareas. The analysis of the survey’s behavioral responses provided insights into peoples’ risk perception and coping responses relative to the space–time distribution of rainfall. The findings of this study were in agreement with the hypothesis that the more severe the rainfall, the higher peoples’ severity assessment and the intensity of emotional response. Deeper feelings of fear and worry were found to be related to more adjustments to the scheduled activities and travels. Additionally, being alert to the upcoming rainfall risk was found to be related to decreased worry and fear and to fewer changes in scheduled activities.

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