Relevant bibliographies by topics / Flash floods

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Flash floods'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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Journal articles on the topic "Flash floods"

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Bonacci, O., I. Ljubenkov, and T. Roje-Bonacci. "Karst flash floods: an example from the Dinaric karst (Croatia)." Natural Hazards and Earth System Sciences 6, no. 2 (March 31, 2006): 195–203. http://dx.doi.org/10.5194/nhess-6-195-2006.

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Abstract. Flash floods constitute one of the deadliest and costliest natural disasters worldwide. This paper explains the karst flash flood phenomenon, which represents a special kind of flash flood. As the majority of flash floods karst flash floods are caused by intensive short-term precipitation in an area whose surface rarely exceeds a few square kilometres. The characteristics of all flash floods are their short duration, small areal extent, high flood peaks and rapid flows, and heavy loss of life and property. Karst flash floods have specific characteristics due to special conditions for water circulation, which exist in karst terrains. During karst flash floods a sudden rise of groundwater levels occurs, which causes the appearance of numerous, unexpected, abundant and temporary karst springs. This paper presents in detail an example of a karst flash flood in the Marina bay (Dinaric karst region of Croatia), which occurred in December 2004.
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Li, Qing, Yu Li, Lingyun Zhao, Zhixiong Zhang, Yu Wang, and Meihong Ma. "Comprehensive Risk Assessment Framework for Flash Floods in China." Water 16, no. 4 (February 19, 2024): 616. http://dx.doi.org/10.3390/w16040616.

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Accurately assessing the risk of flash floods is a fundamental prerequisite for defending against flash flood disasters. The existing methods for assessing flash flood risk are constrained by unclear key factors and challenges in elucidating disaster mechanisms, resulting in less-than-ideal early warning effectiveness. This article is based on official statistics of flash flood disaster data from 2017 to 2021. It selects eight categories of driving factors influencing flash floods, such as rainfall, underlying surface conditions, and human activities. Subsequently, a geographical detector is utilized to analyze the explanatory power of each driving factor in flash flood disasters, quantifying the contribution of each factor to the initiation of flash flood; the flash flood potential index (FFPI) was introduced to assess the risk of flash flood disasters in China, leading to the construction of a comprehensive assessment framework for flash flood risk. The results indicate that (1) Flash floods are generally triggered by multiple factors, with rainfall being the most influential factor, directly causing flash floods. Soil type is the second most influential factor, and the combined effects of multiple factors intensify the risk of flash floods. (2) The southeastern, southern, and southwestern regions of China are considered high-risk areas for flash floods, with a high danger level, whereas the northwestern, northern, and northeastern plain regions exhibit a lower danger level. The above research results provide reference and guidance for the prevention and control of flash flood disasters.
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Moy de Vitry, Matthew, Simon Dicht, and João P. Leitão. "floodX: urban flash flood experiments monitored with conventional and alternative sensors." Earth System Science Data 9, no. 2 (September 4, 2017): 657–66. http://dx.doi.org/10.5194/essd-9-657-2017.

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Abstract. The data sets described in this paper provide a basis for developing and testing new methods for monitoring and modelling urban pluvial flash floods. Pluvial flash floods are a growing hazard to property and inhabitants' well-being in urban areas. However, the lack of appropriate data collection methods is often cited as an impediment for reliable flood modelling, thereby hindering the improvement of flood risk mapping and early warning systems. The potential of surveillance infrastructure and social media is starting to draw attention for this purpose. In the floodX project, 22 controlled urban flash floods were generated in a flood response training facility and monitored with state-of-the-art sensors as well as standard surveillance cameras. With these data, it is possible to explore the use of video data and computer vision for urban flood monitoring and modelling. The floodX project stands out as the largest documented flood experiment of its kind, providing both conventional measurements and video data in parallel and at high temporal resolution. The data set used in this paper is available at https://doi.org/10.5281/zenodo.830513.
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Nguyen Van Ha, Tran Dang Hung, Doan Tran Anh, Giang Hoang Hiep, Nguyen Thi Huyen Trang, and Doan Ha Phong. "APPLICATION OF GIS AND REMOTE SENSING FOR MAPPING FLASH FLOOD RISE IN HOA BINH PROVINCE UNDER CLIMATE CHANGE CONTEXT." Tạp chí Khoa học Biến đổi khí hậu, no. 23 (December 28, 2022): 53–68. http://dx.doi.org/10.55659/2525-2496/23.75013.

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Hoa Binh is one of the provinces strongly suffering from natural disasters, especially flash floods. High slope mountainous terrains, reduced vegetation cover and unfavorable weather conditions form favorable conditions for flash floods to occur. This article develops a map of flash flood risk zoning in Hoa Binh using remote sensing and GIS technology. First, the factors affecting the risk of flash floods are identified, and each factor is classified based on the level of influence, then proceed to overlay the component maps causing flash floods. Factors affecting flash flood risk include: Slope, soil type, land use type, forest cover density and rain. As a result, areas at risk of flash floods are identified with 3 level: High, medium and low. This information can be used as a basis for forecasting areas at high risk of flash floods in the province.
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Nguyen, Duyen Thi My, and Hai Quang Ha. "Flash floods potential area mapping at Huong Khe district, Ha Tinh prov." Science and Technology Development Journal - Natural Sciences 1, T4 (December 31, 2017): 249–54. http://dx.doi.org/10.32508/stdjns.v1it4.487.

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Ha Tinh is one of the provinces most affected by natural hazards, especially flash floods. Sloping hilly terrain conditions, reduced covering density of forest and unfavorable weather conditions are potential hazards to flash floods. Flash floods potential area mapping at Huong Khe district, Ha Tinh province was carried out using Remote Sensing and GIS technologies. Factors causing flash floods was indentified and classified basing n their afecting level. Component maps of flash flood–causing factors were overlayed. Factors causing flash floods as noted by Greg Smith included: slope, soil type, forms of using land, covering density of forest. Potential areas of flash floods and the potential level of each part were indentified. The resulted maps can be used for forecasting risk regions of flash floods at the district.
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Liu, Yesen, Yaohuan Huang, Jinhong Wan, Zhenshan Yang, and Xiaolei Zhang. "Analysis of Human Activity Impact on Flash Floods in China from 1950 to 2015." Sustainability 13, no. 1 (December 28, 2020): 217. http://dx.doi.org/10.3390/su13010217.

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An early warning of a flash flood is essential to prevent the general public from the hazardous flooding events, however, the rapid variation of human activities has led to the uncertainty of risk in prone areas. The lack of a systematic record of flash flood events introduces challenges to flash flood-related research. Herein, we map spatial and temporal variations in flash floods in China from 1950 to 2015 and establish a general ordered logit model in a geographic information environment to estimate the association between the occurrence of flash flood events and natural conditions and the variation of human activities at the watershed level. The results showed that precipitation is an important cause of flash flooding, and demonstrate that anthropogenic intervention (heavy rainfall, density of villages, and vegetation cover) in the environment affect the likelihood of flash floods. We found that the likelihood of flash floods in China may increase with the air quality worsening and that the occurrence of flash floods is strongly correlated with vegetation cover. Our findings suggest a need for further investigation of the link between air quality and flash flooding in flood-prone areas.
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Bin, Lingling, Weichao Yang, and Kui Xu. "Driving Force Exploration for Flash Flood Based on Mann–Kendall Test and Geographical Detector: A Case Study of Hainan Island, China." Sustainability 15, no. 16 (August 17, 2023): 12517. http://dx.doi.org/10.3390/su151612517.

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Flash floods are among the deadliest hazards in China and have led to substantial casualties and losses, especially on Hainan Island. Therefore, it is of great significance to explore the main driving force behind them. Nevertheless, research on the driving force of flash floods is limited here. This study explores the driving force of flash floods on Hainan Island from 14 factors involving three categories: natural, social, and rainfall factors. Two quantitative methods, like the Mann–Kendall test and the geographical detector method, are applied. The Mann–Kendall test is usually used for time series trend analysis and is introduced to divide the flash flood periods into D95 (years from 1980 to 1995) and D14 (years from 1996 to 2014) through the results of reported flash flood trend analysis. The geographical detector is applied to analyze the driving force of flash floods. There are several key findings from this study that help better understand the driving force about flash floods. Firstly, the results show that the main driving forces of flash floods are natural factors like Elevation and Soil in both periods, and they are on the rise. Secondly, the influence of short-term heavy rainfall on flash floods is becoming more and more serious. Thirdly, even though the driving forces from social factors to flash floods are small, the impact of population density on that is significantly increasing.
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Jessup, Stephen M., and Arthur T. DeGaetano. "A Statistical Comparison of the Properties of Flash Flooding and Nonflooding Precipitation Events in Portions of New York and Pennsylvania." Weather and Forecasting 23, no. 1 (February 1, 2008): 114–30. http://dx.doi.org/10.1175/2007waf2006066.1.

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Abstract Flash floods reported for the forecast area of the National Weather Service Forecast Office at Binghamton, New York (BGM), are compared with similar significant precipitation and flash flood watch events not corresponding to flash flood reports. These event types are characterized by measures of surface hydrological conditions, surface and upper-air variables, thermodynamic properties, and proxies for synoptic-scale features. Flash flood and nonflood events are compared quantitatively via discriminant analysis and cross validation, and qualitatively via scatterplots and composite soundings. Results are presented in the context of a flash flood checklist used at BGM prior to this study. Flash floods and nonfloods are found to differ most significantly in antecedent soil moisture. The wind direction at 850 hPa shows differences between flood and nonflood events, with flooding more common for an easterly to southeasterly direction and nonflooding more common for a northwesterly direction. Southwesterly wind direction is characteristic of both types. In general, nonflooding significant precipitation events are more commonly associated with a better-defined ridge axis of relatively high 850-hPa equivalent potential temperature and larger convective available potential energy as compared to the flash flood events. Several parameters included on the BGM flash flood checklist, though effective at distinguishing significant precipitation events and flash floods from random events, were found to be unable to separate flash floods from nonflooding significant rain events.
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Asaly, Saed, Lee-Ad Gottlieb, Yoav Yair, Colin Price, and Yuval Reuveni. "Predicting Eastern Mediterranean Flash Floods Using Support Vector Machines with Precipitable Water Vapor, Pressure, and Lightning Data." Remote Sensing 15, no. 11 (June 2, 2023): 2916. http://dx.doi.org/10.3390/rs15112916.

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Flash floods in the Eastern Mediterranean (EM) region are considered among the most destructive natural hazards, which pose a significant challenge to model due to their high complexity. Machine learning (ML) methods have made a significant contribution to the advancement of flash flood prediction systems by providing cost-effective solutions with improved performance, enabling the modeling of the complex mathematical expressions underlying physical processes of flash floods. Thus, the development of ML methods for flash flood prediction holds the potential to mitigate risks, inform policy recommendations, minimize loss of human life, and reduce property damage caused by flash floods. Here, we present a novel approach for improving flash flood predictions in the EM region using Support Vector Machines (SVMs) with a combination of precipitable water vapor (PWV) data, derived from ground-based global navigation satellite system (GNSS) receivers, along with surface pressure measurements, and nearby lightning occurrence data to predict flash floods in an arid region of the EM. The SVM model was trained on historical data from 2004 to 2019 and was used to forecast the likelihood of flash floods in the region. The study found that integrating nearby lightning data with the other variables significantly improved the accuracy of flash flood prediction compared to using only PWV and surface pressure measurements. The results of the SVM model were validated using observed flash flood events, and the model was found to have a high predictive accuracy with an area under the receiver operating characteristic curve of 0.93 for the test set. The study provides valuable insights into the potential of utilizing a combination of meteorological and lightning data for improving flash flood forecasting in the Eastern Mediterranean region.
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Akter, N., MR Islam, MA Karim, MG Miah, and MM Rahman. "Impact of Flash Floods On Agri-based Livelihoods In Sylhet Haor Basin." Annals of Bangladesh Agriculture 26, no. 1 (June 30, 2022): 61–73. http://dx.doi.org/10.3329/aba.v26i1.67019.

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Bangladesh is most vulnerable to natural disasters and climate change. Over the past few decades, flash floods have frequently affected the livelihood of people in the Sylhet Haor Basin. This study highlights the causes of increased flash floods, their impact on farming practices and livelihoods, and possible solutions to flash flood risk in the Sylhet Haor Basin. Data were collected using a pre-tested structured questionnaire from randomly selected 298 Haor farmers in high and moderately vulnerable flash flood zones across the Haor region during November 2021 and April 2022. In moderately vulnerable areas, the lack of rivers and canal dredging was the main factor contributing to flash flood deterioration. Index scores and ranks revealed that flash floods most severely affect the primary production sector (agriculture) and threaten the lives and livelihoods of the local populace in high- and moderately flood-prone areas. After the severe flash flood, farmers were forced to turn to other occupations instead of agriculture for their livelihood. To reduce the impact of flash floods on particular features or entire wetlands, most farmers preferred the construction of embankments over sandbags, concrete or stone dams, submergible embankments, and rubber dams. For flash flood risk management, farmers in high- and moderately flash flood-vulnerable areas emphasize the construction of higher dams and embankments and the installation of more flood barriers (dams/embankments). The concerned flash flood management agencies could incorporate the key findings of this study while formulating risk mitigation strategies for the Sylhet Haor Basin. Ann. Bangladesh Agric. (2022) 26 (1) : 61-73
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Dissertations / Theses on the topic "Flash floods"

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Díaz, Loaiza Manuel Andrés. "Drought and flash floods risk assessment methodology." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/325143.

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Floods and Drought are some of the most catastrophic natural disasters for humanity, averaging 1 to 5 billion dollar of annually damage for flood events and 6 to 8 billion dollars respectively for drought events. To avoid this phenomena risk management science has grown in the last years and allows us to assess the risk and the possible benefits if some specific measures are implemented (e.g. mitigation / adaptation measures). A methodology for Non-Structural Measures (NSM) implementation in risk assessment has been developed for flood event management. Likewise, an uncertainty analysis has been done in order to identify the variation of the possible results in the risk assessment. An analysis has been done based on the Expected Annual Damage (EAD) to determine the optimal return period of design of a structural measure. A new indicator has been proposed based on this analysis: The Optimal Expected Annual Damage indicator (OEAD). In the present document the results of pluvial flood risk assessment are described. These results include structural and non-structural measures based on a developed methodology for Arenys de Munt basin, which belongs to the region of Catalonia in Spain. To include non-structural measures in risk assessment, mitigation coefficients where built in the methodology, and are described in the methodology. Also, steps for the optimization of their possible implementation are defined. This research shows that potential economic losses are decreasing with the construction of structural measures from approximately 6.6 M€ to 3 M€ (box culvert of €14Million), and in combination with the implementation of non-structural measures this could even decrease to 0.7 M€ if the non-structural measures are implemented (for 500 year return period event). Related potential casualties results decrease from approx. 11 casualties to 8 and even as low as 2 casualties respectively if non-structural measures are implemented (for 500 year return period). This, demonstrate that non-structural measures are a way to follow in the flood risk mitigation. For drought events, a new methodology has been developed in order to relate quantitative potential economic losses for rainfed crops with "Meteorological Drought". In the same, a method for the hazard (through the Palmer index) and vulnerability assessment was developed. The susceptibility of a particular crop due to a drought event was linked with a classification of the phenological stages according two seasons: the sowing and harvesting season. The case study was focus on the Llobregat basin, in which both, hydrometeorological and crop statistics data series were available. Results illustrate that the Llobregat basin has suffered at least 2 important periods of drought (2000/2001 and 2005/2006) during the length of the considered 16 year crop production record statistics. These periods of drought caused potential economic losses of approximately 40.13 M€ and 55.84 M€ in the geopolitical subdivision called "Comarcas" of the Llobregat basin. The related methodology, demonstrates coherence in the detection of "important" drought events, and in the quantification of individual potential losses per crop type, which shows that crops, like olives (classified in category woody crop type) are more resistant to drought than vegetables (tomato, lettuce chard etc.). Finally, in addition to the presented methodology the potential losses of crop efficiency curves are proposed, as indicators for agricultural drought risk assessment.
Les inundacions i les sequeres són alguns dels desastres més catastròfics per a la humanitat, promitjant anualment al voltant d'1 a 5 x 10³ milions de dòlars i 6 a 8 x 10³ milions de dòlars en pèrdues econòmiques respectivament. Per combatre aquests fenòmens, la ciència de la "gestió del riscs" ha anat desenvolupant al llarg dels últims anys, permetent-nos quantificar el risc i els possibles beneficis en el cas que algunes mesures siguin implementades (tals com mesures de mitigació/adaptació etc.). En el present document es presenta una metodologia per a la quantificació del risc considerant la implementació de mesures no-estructurals (NSM). Així mateix, es va desenvolupar una anàlisi d'incertesa per identificar les fonts de variància sobre els resultats en el càlcul del risc. Amb l'indicador EAD (Expected Annual Damage), es va realitzar una anàlisi per determinar el període de tornada òptima en el disseny de mesures estructurals, com a resultat del mateix, es proposa un nou indicador: l "Optimal Expected Annual Damage" (OEAD). En el present document s'exposen els resultats per a la quantificació del risc pluvial. Aquests resultats inclouen mesures estructurals i no-estructurals d'acord amb la metodologia desenvolupada per a la conca d'Arenys de Munt a Catalunya-Espanya. Per incloure en el càlcul del risc a les mesures no-estructurals, es van desenvolupar coeficients de mitigació els quals són explicats dins de la metodologia. Igualment, es defineixen els passos a seguir per a l'optimització en la implementació d'aquestes mesures. En aquesta investigació, s'il·lustra que les pèrdues potencials econòmiques disminueixen si una mesura estructural és implementada (canalització per Box Culvert de 14 M€), des de 6.6 M€ a 3 M€ (T=500 anys), i si s'implementen mesures no-estructurals en combinació amb la mesura estructural, les pèrdues potencials poden disminuir-se fins a 0.7 M€ per al període de tornada de 500 anys. Sobre les pèrdues potencials de vides humanes, la mitigació obtinguda segueix el mateix comportament que les pèrdues potencials econòmiques, disminuint des d'11 possibles víctimes a 8 amb la mesura estructural i a 2 en combinació amb la mesura no estructural. Pel fenomen de la sequera, es va desenvolupar una metodologia per relacionar la "Sequera Meteorològica" amb les pèrdues potencials econòmiques en cultius de secà. En la mateixa, es proposa un mètode per a la quantificació de la perillositat (mitjançant els índexs de Palmer) i la vulnerabilitat. La susceptibilitat d'un cultiu de secà a un esdeveniment de sequera (vulnerabilitat) es va relacionar fent una classificació d'acord a dos estats fenològics: l'època de sembra i de recol·lecció. El cas d'estudi es va enfocar a la conca del riu Llobregat-Espanya, de la qual es va disposar d'informació hidrometeorològica i de les estadístiques de producció de diferents tipus de cultius de secà. De l'anàlisi realitzada sobre la conca, es va observar que al llarg dels 16 anys d'estadístiques en els cultius, van ocórrer dos períodes importants de sequera (2000/2001 i 2005/2006). Aquests períodes de sequera van deixar respectivament pèrdues potencials econòmiques d'aproximadament 40.13 M€ i 55.84 M€ per a les comarques associades a la conca del riu Llobregat. La metodologia desenvolupada, demostra eficàcia en la detecció d'esdeveniments importants de sequera, així mateix, il·lustra una coherència en la quantificació de les pèrdues individuals en els tipus de cultiu, en les que cultius com l'oliva (classificat com a cultiu llenyós), demostra més resistència a la sequera respecte a altres cultius com l'enciam, tomàquets etc.. Finalment, com a complement a la metodologia desenvolupada, es proposa a les corbes de pèrdua d'eficiència de cultiu, com a indicadors per a la gestió del risc de sequeres en cultius de secà.
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Amponsah, William. "Stream power and geomorphic effects of flash floods." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3426210.

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As one of the most devastating natural hazards, flash floods are responsible for major and abrupt geomorphic effects in the fluvial system as well as significant loss of life and socio-economic damages. Flash floods are characterized by strong spatio-temporal rainfall variability and therefore show variations in discharge and energy expenditure: associated geomorphic effects depend on geological controls on channel geometry and sediment characteristics, as well as on variations in flood intensity. Geomorphic effects usually take the form of erosional and depositional modification of the pre-flood channel. The central question of this thesis is to evaluate why flash floods of similar magnitudes and intensities sometimes produce dissimilar geomorphic results. The use of peak instantaneous hydraulic flow parameters such as discharge, velocity, shear stress, and stream power to quantify geomorphic changes has commonly been non-deterministic. This thesis aims at investigating how factors such as channel geometry, substrate, and flood magnitude and duration can interact and influence geomorphic effectiveness of high magnitude floods. A combined analysis of data from post-flood surveys and hydrological modelling permitted a comprehensive hydro-geomorphic investigation of seven major flash flood that occurred between 2007 and 2014 in different hydro-climatic regions in central and southern Europe. High peak discharge coupled with long flow duration ensured significant geomorphic impacts in Mediterranean basins. Values of stream power are generally consistent with observed geomorphic changes in the studied cross sections. However, bedrock channels show the highest values of energy expenditure but no visible erosion, whereas major erosion has been observed in alluvial channels. The trends in semi-alluvial channels urge the recognition of local or event-specific conditions that increase the resistance of channel bed and banks to erosion. Short flow duration caused major sedimentological effects but limited channel widening in most semi-alluvial channels. Eight rivers that were highly affected by three of the studied flash floods were selected for detailed analysis and modelling of the contiguous downstream variability in stream power. Power functions adequately interpreted the systematic downstream increase in peak discharge, whereas contrary to the usual exponential function, a quadratic function better interpreted the high downstream variability in channel gradient. The performance of the resulting empirical models for cross-sectional stream power and unit stream power were essentially influenced by channel gradient. The availability of high-resolution pre- and post-flood satellite images allowed assessment of channel changes along seven of these channels. Statistical analysis indicated that hydraulic forces alone are not adequate to interpret the rate of channel widening, which is primarily influenced by the degree of channel confinement. Together with lateral confinement, unit stream power better predicted channel widening in steep channels, whereas cumulative energy expenditure was relatively better for moderate channel reaches. The use of different erosion-resistance thresholds to quantify the geomorphological changes of riverbeds supports the conclusion that the determination of these changes is much more difficult than to determine the hydraulic variables involved.
Le piene improvvise (flash flood) sono fra i processi naturali più devastanti e sono responsabili di rilevanti e subitanei effetti morfologici, nonché della perdita di vite umane e di gravi danni economici. Le piene improvvise sono caratterizzate dalla forte variabilità spazio-temporale delle precipitazioni innescanti, cui consegue una forte variabilità delle portate e della potenza della corrente. Gli effetti geomorfologici delle piene improvvise dipendono sia dal controllo che l’assetto geologico esercita sulla geometria del canale e sulle caratteristiche del sedimento, sia dall’intensità della piena. Gli effetti geomorfologici delle piene improvvise si manifestano attraverso processi sia erosivi che deposizionali che determinano variazioni nell’assetto del canale rispetto alle condizioni antecedenti l’evento. La questione centrale di questa tesi è valutare perché piene improvvise di simile intensità producano talvolta effetti morfologici nettamente differenti. L’uso dei valori istantanei massimi di variabili di tipo idraulico, quali la portata, la velocità, lo sforzo tangenziale e la potenza della corrente, si è spesso rivelato non conclusivo nel quantificare i cambiamenti morfologici. Questa tesi mira a studiare come fattori quali la geometria del canale, il substrato, l’intensità e la durata dell’evento possano interagire e influenzare l’azione morfologia delle piene improvvise. Un’analisi combinata, basata rilievi post-evento e sulla modellazione idrologica, ha consentito di caratterizzare sette importanti eventi di piena improvvisa verificatisi fra il 2007 e il 2014 in diverse regioni dell’Europa centrale e meridionale. Nei bacini mediterranei gli elevati valori delle portate di picco, uniti alla durata relativamente lunga degli eventi, hanno determinato le condizioni favorevoli a significativi impatti geomorfologici. I valori della potenza della corrente sono generalmente coerenti con i cambiamenti morfologici osservati. Inoltre, i canali in roccia mostrano i valori di dispendio energetico più elevati ma senza erosioni apprezzabili, mente ingenti fenomeni di erosione sono stati osservati in canali alluvionali. Gli andamenti dei processi geomorfologici nei canali semi alluvionali richiedono il riconoscimento di situazioni locali che aumentano la resistenza del letto del canale e delle sponde all’erosione, o di condizioni specifiche di un particolare evento. Piene di breve durata causano talvolta abbondante trasporto solido, peraltro non associato a significativi allargamenti del canale nella maggior parte degli alvei semi-alluvionali. Otto corsi d’acqua, individuati fra quelli maggiormente interessati da tre delle piene studiate sono stati scelti per ulteriori analisi e per la modellazione della variazione longitudinale dei valori della potenza della corrente. Funzioni di potenza interpretano adeguatamente l’aumento verso valle delle portate di picco, mentre funzioni quadratiche si sono dimostrate più soddisfacenti delle relazioni esponenziali comunemente utilizzate per rappresentare la variazione longitudinale della pendenza dell’alveo. Le prestazioni dei modelli empirici per la variazione longitudinale della potenza della corrente per unità di larghezza dell’alveo (unit stream power) evidenziano il fondamentale controllo esercitato dalla pendenza dell’alveo. La disponibilità di immagini satellitari ad elevata risoluzione riprese prima e dopo gli eventi oggetto di studio ha permesso di valutare le modifiche del canale lungo sette di questi canali. Analisi statistiche hanno indicato che le sole variabili idrauliche non sono sufficienti per interpretare il tasso di allargamento del canale, che è principalmente influenzato dal grado di confinamento del canale stesso. Insieme al confinamento laterale, la potenza della corrente per unità di larghezza dell’alveo appare un valido predittore dell’allargamento in alvei ad elevata pendenza, mentre l’energia complessiva della corrente calcolata per l’intero evento fornisce prestazioni migliori nell’interpretare la variabilità dell’allargamento dell’alveo in canali a pendenza moderata. L'uso di differenti soglie di resistenza all’erosione per quantificare i cambiamenti geomorfologici degli alvei supporta la conclusione che la determinazione di tali cambiamenti è molto più difficile della determinazione delle variabili idrauliche coinvolte.
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Michaud, Jene Diane. "RAINFALL-RUNOFF MODELING OF FLASH FLOODS IN SEMI-ARID WATERSHEDS." Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ), 1992. http://hdl.handle.net/10150/614156.

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Flash floods caused by localized thunderstorms are a natural hazard of the semi -arid Southwest, and many communities have responded by installing ALERT flood forecasting systems. This study explored a rainfall- runoff modeling approach thought to be appropriate for forecasting in such watersheds. The kinematic model KINEROS was evaluated because it is a distributed model developed specifically for desert regions, and can be applied to basins without historic data. This study examined the accuracy of KINEROS under data constraints that are typical of semi -arid ALERT watersheds. The model was validated at the 150 km2, semi -arid Walnut Gulch experimental watershed. Under the conditions examined, KINEROS provided poor simulations of runoff volume and peak flow, but good simulations of time to peak. For peak flows, the standard error of estimate was nearly 100% of the observed mean. Surprisingly, when model parameters were based only on measurable watershed properties, simulated peak flows were as accurate as when parameters were calibrated on some historic data. The accuracy of KINEROS was compared to that of the SCS model. When calibrated, a distributed SCS model with a simple channel loss component was as accurate as KINEROS. Reasons for poor simulations were investigated by examining a) rainfall sampling errors, b) model sensitivity and dynamics, and c) trends in simulation accuracy. The cause of poor simulations was divided between rainfall sampling errors and other problems. It was found that when raingage densities are on the order of 1/20 km2, rainfall sampling errors preclude the consistent and reliable simulation of runoff from localized thunderstorms. Even when rainfall errors were minimized, accuracy of simulations were still poor. Good results, however, have been obtained with KINEROS on small watersheds; the problem is not KINEROS itself but its application at larger scales. The study also examined the hydrology of thunderstorm -generated floods at Walnut Gulch. The space -time dynamics of rainfall and runoff were characterized and found to be of fundamental importance. Hillslope infiltration was found to exert a dominant control on runoff, although flow hydraulics, channel losses, and initial soil moisture are also important. Watershed response was found to be nonlinear.
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Knocke, Ethan William. "Modeling Flash Floods in Small Ungaged Watersheds using Embedded GIS." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/31312.

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Effective prediction of localized flash flood regions for an approaching rainfall event requires an in-depth knowledge of the land surface and stream characteristics of the forecast area. Flash Flood Guidance (FFG) is currently formulated once or twice a day at the county level by River Forecast Centers (RFC) in the U.S. using modeling systems that contain coarse, generalized land and stream characteristics and hydrologic runoff techniques that often are not calibrated for the forecast region of a given National Weather Service (NWS) office. This research investigates the application of embedded geographic information systems (GIS) modeling techniques to generate a localized flash flood model for individual small watersheds at a five minute scale and tests the model using historical case storms to determine its accuracy in the FFG process. This model applies the Soil Conservation Service (SCS) curve number (CN) method and synthetic dimensionless unit hydrograph (UH), and Muskingum stream routing modeling technique to formulate flood characteristics and rapid update FFG for the study area of interest. The end result of this study is a GIS-based Flash Flood Forecasting system for ungaged small watersheds within a study area of the Blacksburg NWS forecast region. This system can then be used by forecasters to assess which watersheds are at higher risk for flooding, how much additional rainfall would be needed to initiate flooding, and when the streams of that region will overflow their banks. Results show that embedding these procedures into GIS is possible and utilizing the GIS interface can be helpful in FFG analysis, but uncertainty in CN and soil moisture can be problematic in effectively simulating the rainfall-runoff process at this greatly enhanced spatial and temporal scale.
Master of Science
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Ahmed, Mohamed Saber Mohamed Sayed. "Hydrological Approaches of Wadi System Considering Flash Floods in Arid Regions." 京都大学 (Kyoto University), 2010. http://hdl.handle.net/2433/126791.

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Mohammed, Abdel-Fattah Sayed Soliman. "Integrated Hydro-geomorphological Approach to Flash Flood Risk Assessment and Mitigation Strategies in Wadi Systems." Kyoto University, 2017. http://hdl.handle.net/2433/227604.

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Weaver, Joshua A. 1978. "An automated system to detect flash floods and alert at-risk communities." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/37060.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaf 25).
This thesis describes an automated monitoring station designed to detect flash floods occurring in the Rio Aguan river basin, Honduras. An Atmel microcontroller polls a series of sensors in the river, logging all data for later hydrological analysis and modeling. A high-power APRS radio is used to alert a central monitoring facility of impending floods. Careful component choices and power management allows the system to run for 100 days on a single deep-cycle marine battery or practically indefinitely using a supplemental solar panel.
by Joshua A. Weaver.
M.Eng.
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Gaume, Eric. "Eĺéments d'analyse sur les crues éclair." Paris, ENGREF, 2002. https://pastel.archives-ouvertes.fr/pastel-00002654.

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Les crues éclair (i. E. Crues soudaines provoquées par des événements pluvieux orageux) constituent sans aucun doute le risque naturel le plus destructeur en France. Malgré la menace qu'elles représentent et les nombreuses questions qu'elles suscitent, elles n'ont pas fait l'objet par le passé d'études systématiques. Dans la première partie de ce document, une méthodologie d'analyse hydrologique post-événementielle a été mise au point et testée sur cinq études de cas. Les premiers résultats obtenus sont encourageants et relativement inattendus : a) les bassins versants réagissent avec retard aux épisodes de pluies intenses, b) les volumes d'eau de pluie retenus sur les bassins et ne participant pas à la crue sont importants (de 150 à 200 millimètres dans les études de cas traitées), c) le type d'occupation des sols ne semble pas jouer un rôle déterminant sur la réponse des bassins versants. La seconde partie de la thèse est consacrée à l'analyse théorique des lois de probabilité des débits de pointes de crues. Les possibilités offertes par l'approche qualifiée de semi-déterministe, consistant à coupler un modèle mathématique de genèse aléatoire de séries pluviographiques et un modèle ``pluie-débit'' sont explorées. Il apparaît que, compte tenu des propriétés de la relation pluie-débit, les distributions des débits pointes de crues (DDPC) n'appartiennent probablement à aucun des trois types de lois des valeurs extrêmes. Elles sont asymptotiquement contrôlées par la distribution des intensités moyennes maximales des événements pluvieux, mesurées sur une durée caractéristique du bassin versant
Flash floods (i. E. Floods produced by severe thunderstorms of limited areal extent) are certainly the most destructive natural hazard in France. They also give rise to numerous questions but no systematic studies have been conducted in the past on such events. In the first part of this document, a post flood investigation methodology is proposed and tested on five case studies. The first results obtained are hopeful and reveal some original aspects of the rainfall-runoff relationship during flash floods : 1) the watershed response to the intense storm bursts is late and relatively sudden, 2) a large amount of rainwater (150 to 200 millimeters in the present case studies) is retained on the catchments and does not contribute to the flood flow, 3) no significant effects of the land use type could be identified. The second part of the document, is devoted to the theoretical analysis of the flood peak distributions. The potential of the so called derived distribution methods consisting in coupling a stochastic rainfall simulator and a mathematical ``rainfall-runoff'' model is assessed. It appears that, due to the properties of the ``rainfall-runoff'' process, flood peak distributions (FPD) belong most probably to none of the three extreme value distibution types. The asymptotic behaviour of the FPD is controlled by the maximum rainfall intensities measured over a duration characteristic of the studied watershed
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Hatter, Elizabeth. "Using radar and hydrologic data to improve forecasts of flash floods in Missouri /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1422929.

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Colón, Sirel. "La sédimentation récente sur la marge nord-vénézuelienne (littoral central) : enregistrement superposé des instabilités d’origine climatique et des conséquences de l’activité sismique (glissements, tsunamis)." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAU019/document.

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La bordure septentrionale du Vénézuela (bordure méridionale de la Plaque Caraïbe) correspond pour l’essentiel à un relais de grandes failles décrochantes actives, génératrice d’une marge escarpée et accidentée (Sud de la Mer Caraïbe, Fosse et Golfe de Cariaco, Fig. 1). Cette région est donc exposée à trois sources d’aléas naturels : 1) séismes et effets directs, 2) tsunamis (liés à ces failles, à l’activité plus lointaine des Arcs Antillais, ou à des glissements sous-marins), 3) glissements et coulées aériens, parfois liés à des événements climatiques brutaux (cf. flash flood de Vargas, Décembre 1999). Le deuxième et le troisième type de phénomènes affectent directement la sédimentation soit marine (littoral et plateforme) soit lagunaire ou lacustre. Par ailleurs, les dernières variations globales (rapides) du niveau marin ont subdivisé et structuré l’empilement sédimentaire.La partie récente de ces dépôts (env. 150 000 à 200 000 ans) a fait l’objet de deux campagnes préliminaires d’imagerie sismique à haute résolution, la première consacrée à la partie orientale (Golfe de Cariaco; Audemard et al., 2007 ; Van Daele et al., 2010) et la seconde au littoral central (entre Cabo Codera et la Golfe Triste, Fig. 2). Cette seconde mission sera complétée par une nouvelle acquisition d’imagerie et la prise de carottes courtes en mer et dans les lagunes côtières. L'interprétation des sections sismiques et l'analyse sédimentologique des carottes sera utilisé pour ce travail de thèse avec un double but : 1) reconstituer l’évolution générale de la sédimentation sur la marge, et l’influence des changements environnementaux globaux, 2) connaître la distribution géographique et dans le temps (pour une période d’au moins 100 000 ans) des phénomènes catastrophiques majeurs (séismes, tsunamis, flash floods) qui se sont intercalés dans cette sédimentation. L’impact possible de la superposition de phénomènes externes et sismo-tectoniques (cf. récent séismes de Tucacas pendant un épisode pluvieux) et la localisation des zones à risques pour les tsunamis, seront modélisés et discutés
The northern border of Venezuela (southern border of the Caribbean Plate) corresponds essentially to a relay of large active strike-slip faults, generating a steep and rugged margin (South of the Caribbean Sea, Pit and Gulf of Cariaco, Fig. 1). This region is therefore exposed to three sources of natural hazards: 1) earthquakes and direct effects, 2) tsunamis (related to these faults, to the more distant activity of the West Indies bows, or to submarine landslides), 3) slips and airflows, sometimes linked to sudden climatic events (see Vargas flash flood, December 1999). The second and third types of phenomena directly affect sedimentation, whether marine (littoral and platform), lagoon or lacustrine. In addition, the latest global (fast) changes in the sea level have subdivided and structured the sedimentary stack.The recent part of these deposits (about 150 000 to 200 000 years ago) was the subject of two preliminary high resolution seismic imaging campaigns, the first devoted to the eastern part (Gulf of Cariaco, Audemard et al. 2007, Van Daele et al., 2010) and the second at the central coast (between Cabo Codera and the Sad Gulf, Fig. 2). This second mission will be complemented by a new imaging acquisition and the taking of short cores at sea and in coastal lagoons. The interpretation of the seismic sections and the sedimentological analysis of the cores will be used for this work of thesis with a double aim: 1) to reconstruct the general evolution of the sedimentation on the margin, and the influence of the global environmental changes, 2) to know the geographical distribution and over time (for a period of at least 100,000 years) major catastrophic phenomena (earthquakes, tsunamis, flash floods) that have interbedded in this sedimentation. The possible impact of the superposition of external and seismo-tectonic phenomena (see the recent Tucacas earthquakes during a rainy episode) and the location of tsunami risk areas will be modeled and discussed
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Books on the topic "Flash floods"

1

Sene, Kevin. Flash Floods. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5164-4.

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Sumi, Tetsuya, Sameh A. Kantoush, and Mohamed Saber, eds. Wadi Flash Floods. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-2904-4.

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Eve, Gruntfest, and Handmer John W, eds. Coping with flash floods. Boston: Kluwer Academic Publishers, 2001.

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Ba, Le Huy, Thai Van Nam, and Le Hung. Flash Floods in Vietnam. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10532-6.

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Gruntfest, Eve, and John Handmer, eds. Coping With Flash Floods. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0918-8.

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Negm, Abdelazim M., ed. Flash Floods in Egypt. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29635-3.

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Wright, Mary. Flash flood! Boston, Mass: Houghton Mifflin, 2006.

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United States. National Weather Service, ed. Flash floods and floods--: The awesome power! : a preparedness guide. [Washington, D.C.?]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1992.

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Aleksandar, Sotirovski, ed. Flash flood. Edinburgh: Barrington Stoke, 2009.

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Sene, Kevin. Flash Floods: Forecasting and Warning. Dordrecht: Springer Netherlands, 2013.

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Book chapters on the topic "Flash floods"

1

Sene, Kevin. "Flash Floods." In Hydrometeorology, 273–312. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23546-2_9.

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Sene, Kevin. "Introduction." In Flash Floods, 1–31. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_1.

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Sene, Kevin. "Urban Flooding." In Flash Floods, 293–311. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_10.

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Sene, Kevin. "Dams and Levees." In Flash Floods, 313–33. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_11.

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Sene, Kevin. "Research." In Flash Floods, 335–76. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_12.

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Sene, Kevin. "Precipitation Measurement." In Flash Floods, 33–70. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_2.

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Sene, Kevin. "Catchment Monitoring." In Flash Floods, 71–100. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_3.

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Sene, Kevin. "Rainfall Forecasting." In Flash Floods, 101–32. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_4.

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Sene, Kevin. "Flood Forecasting." In Flash Floods, 133–68. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_5.

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Sene, Kevin. "Flood Warning." In Flash Floods, 169–98. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5164-4_6.

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Conference papers on the topic "Flash floods"

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Alexoaie, Laura. "FORMING�CONDITIONS�FOR�FLASH�FLOODS�." In SGEM2012 12th International Multidisciplinary Scientific GeoConference and EXPO. Stef92 Technology, 2012. http://dx.doi.org/10.5593/sgem2012/s13.v3022.

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Stoyanova, Vesela, Georgy Koshinchanov, and Silviya Stoyanova. "COMPARISON OF NATIONAL, EUROPEAN AND BLACK SEA REGION FLASH FLOOD FORECASTING PRODUCTS FOR THE TERRITORY OF BULGARIA." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023/3.1/s12.07.

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Flash floods occur in small areas and in a short time after an extreme precipitation event - generally less than six hours. The intensity of the precipitation, the location and distribution of the precipitation, the land use and topography, soil type, etc. determine just how quickly Flash Flooding can occur. These types of floods are extremely dangerous and it is very important to pay special attention to their forecasting. Due to the complex nature of flash floods, in addition to the qualification and experience of the hydrologist involved in forecasting this type of extreme event, it is important to analyze and compare the results of different forecasting products. This article presents the analyses and comparison of the results of three different products related to the forecasting of flash floods over the territory of Bulgaria. The forecast products considered are Flash Flood Guidance (FFG) of the Black Sea Middle East Flash Flood Guidance System (BSMEFFGS), ERIC - Numerical weather prediction based flash flood indicator of the European Flood Awareness System (EFAS) and the flash flood product of the National Institute of Meteorology and Hydrology (NIMH) - Bulgaria for forecasting flash floods in small watersheds based on the Rational Method (RM). Forecast information for several significant events in 2022 on the territory of the country were analyzed.
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Yordanova, Valeriya, Silviya Stoyanova, Snezhanka Balabanova, Georgy Koshinchanov, and Vesela Stoyanova. "FLASH FLOOD FORECASTING USING FLASH FLOOD GUIDANCE SYSTEM PRODUCTS." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/3.1/s12.11.

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Flash floods are defined as rapidly developing extreme events caused by heavy or excessive amounts of rainfall. Flash floods usually occur over a relatively small area within six hours or less of the extreme event with quite a rapid streamflow rise and fall. Increased occurrence of flash flood events is expected due to climate change and increase in extreme precipitation events [1]. Flash flood forecasting is still a challenge for hydrologists and water professionals due to the complex nature of the event itself. Besides having sufficient background in hydrological and meteorological forecasting as well as information about local conditions yet an adequate approach for flash flood forecasting is needed. The Flash Flood Guidance System (FFGS) is widely recognized for enhancing the capacity to issue timely and accurate flash flood warnings by providing hydrological and meteorological forecasters with real-time information and products. FFGS is based on global data as well as national hydrometeorological data and analyses. In this paper the use of the Black Sea Middle East Flash Flood Guidance System (BSMEFFGS) products for flash flood forecasting by the hydrologists at the Hydrological Forecasting department at the National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences (NIMH) in Bulgaria is presented. An overview of the FFGS for Bulgaria with closer attention paid to the Flash Flood Guidance (FFG), Flash Flood Risk (FFR) and the Flash Flood Threat Products is introduced. Two case studies are also presented � a flash flood in the town of Shumen and another one in the area of the village of Popovitsa on September 28th 2015.
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Segretier, Wilfried, Martine Collard, and Manuel Clergue. "Evolutionary predictive modelling for flash floods." In 2013 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2013. http://dx.doi.org/10.1109/cec.2013.6557656.

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VASILE, Diana Marinela, Mihnea Cristian POPA, Florentina TOMA, Daniel Constantin DIACONU, and Daniel Constantin DIACONU. "Flash Flood Assessment Using GIS and the Frequency Ratio Bivariate Statistical Model – Case Study, Codlea, Romania." In Air and Water – Components of the Environment 2021 Conference Proceedings. Casa Cărţii de Ştiinţă, 2021. http://dx.doi.org/10.24193/awc2021_06.

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Floods are one of the biggest natural disasters, causing significant economic and human losses. Regardless of the degree of development of urban or rural systems, floods account for about a third of all-natural disasters globally. Identifying areas vulnerable to floods is essential for better management and mitigation of their effects. The research aims to identify areas vulnerable to floods in the city of Codlea, Brașov County. Annually, the city records significant floods, one of the determining factors being its location, near the southern slope of the Perșani Mountains. The research proposes the Flash Flood Potential Index (FFPI) computation by combining GIS techniques with the Frequency Ration bivariate statistical model. The correlation of various flash-flood conditioning variables allowed us to compute the FFPI. The methodological approach could represent an essential tool for local authorities for better flood risk management.
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Charlie, Wayne A., and Don Doehring. "Repeated Flash Floods at Colorado State University." In Watershed Management and Operations Management Conferences 2000. Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40499(2000)74.

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Papakos, Tatiana H., and Kristi Root. "Hydraulic Modeling of Flash Floods in Sana'a." In World Environmental and Water Resources Congress 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41114(371)161.

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Saur, David. "Methods of predicting risk of flash floods." In 2017 International Conference on Military Technologies (ICMT). IEEE, 2017. http://dx.doi.org/10.1109/miltechs.2017.7988760.

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Soltesz, Andrej. "PREVENTION AGAINST FLASH FLOODS IN SMALL CATCHMENTS." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/3.1/s12.056.

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Uhrova, Marie, Josef Krecek, Eva Pazourkova, and Jiri Vritska. "DENDROGEOMORPHIC ANALYSIS OF FLASH FLOODS IN A SMALL FOREST CATCHMENT." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023v/3.2/s12.09.

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Flash floods represent one of the most significant natural hazards in headwater catchments facing the lack of systematic hydrological monitoring. This study focus on the detection of flash floods on growth disturbances detected at trees of European beech (Fagus sylvatica L.) located in the torrential channel of the Holubi Potok stream in the Jizera Mountains (North Bohemia, Czech Republic). At the injured stems, flood scars were identified and core samples dated by tree ring analysis; the intensity of the disturbance clearly depends on geomorphology of the stream channel. These data were compared with 40 years of hydrometric measurements at the catchment outlet. The flood injuries were detected in the last 65 years, and those flood signs occurred on average every 12-13 years. All of them correspond with intensive summer rainstorms. Flood waves exceeding the gauging capacity or the period of hydrometric observation were reconstructed by HEC- HMS 4.4 and HEC-RAS 5.0.3 tools. The applied approach contributed to the extrapolation and correction of the standard flood frequency curve at the investigated catchment.
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Reports on the topic "Flash floods"

1

Ferdinand, J., J. Merz, J. Xu, and M. Eriksson. Managing Flash Floods and Sustainable Development in the Himalayas. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2006. http://dx.doi.org/10.53055/icimod.450.

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Ferdinand, J., J. Merz, J. Xu, and M. Eriksson. Managing Flash Floods and Sustainable Development in the Himalayas. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2006. http://dx.doi.org/10.53055/icimod.450.

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Higuera Roa, Oscar, and Jack O'Connor. Technical Report: Hurricane Ida. United Nations University - Institute for Environment and Human Security (UNU-EHS), August 2022. http://dx.doi.org/10.53324/nyky2894.

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On 1 September 2021, remnants of Hurricane Ida, the costliest disaster of 2021, brought historic rainfall to New York City, triggering the city’s first-ever flash flood alerts as water flooded streets, subway stations and apartments. Many of the people that lost their lives in the floods lived in basement apartments, and the water management system was completely overwhelmed, indicating a pressing need for infrastructure improvements to prevent such a disaster from happening again. This technical background report for the 2021/2022 edition of the Interconnected Disaster Risks report analyses the root causes, drivers, impacts and potential solutions for Hurricane Ida through a forensic analysis of academic literature, media articles and expert interviews.
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Yousef, Shahinaz, Ramy Mawad, and Yasser h. O. Algafari. On the solar stimuli that initiate Makkah Al-Mukaramah, Al-Madinah Al-Munawarah and Jeddah flash floods. Edited by Lotfia Elnadi. Journal of Modern trends in physics research, December 2014. http://dx.doi.org/10.19138/mtpr/(14)122-130.

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Few, Roger, Mythili Madhavan, Narayanan N.C., Kaniska Singh, Hazel Marsh, Nihal Ranjit, and Chandni Singh. Voices After Disaster. Indian Institute for Human Settlements, 2021. http://dx.doi.org/10.24943/vad09.2021.

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This document is an output from the “Voices After Disaster: narratives and representation following the Kerala floods of August 2018” project supported by the University of East Anglia (UEA)’s GCRF QR funds. The project is carried out by researchers at UEA, the Indian Institute for Human Settlements (IIHS), the Indian Institute of Technology (IIT), Bombay, and Canalpy, Kerala. In this briefing, we provide an overview of some of the emerging narratives of recovery in Kerala and discuss their significance for post-disaster recovery policy and practice. A key part of the work was a review of reported recovery activities by government and NGOs, as well as accounts and reports of the disaster and subsequent activities in the media and other information sources. This was complemented by fieldwork on the ground in two districts, in which the teams conducted a total of 105 interviews and group discussions with a range of community members and other local stakeholders. We worked in Alleppey district, in the low-lying Kuttanad region, where extreme accumulation of floodwaters had been far in excess of the normal seasonal levels, and in Wayanad district, in the Western Ghats, where there had been a concentration of severe flash floods and landslides.
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Shrestha, A. B., and S. R. Bajracharya. Case Studies on Flash Flood Risk Management in the Himalayas; In support of specific flash flood policies. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2013. http://dx.doi.org/10.53055/icimod.577.

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Shrestha, A. B., P. S. Chapagain, and R. Thapa. Flash Flood Risk Management; A Training of Trainers Manual. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2011. http://dx.doi.org/10.53055/icimod.541.

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Shrestha, A. B., P. S. Chapagain, and R. Thapa. Flash Flood Risk Management; A Training of Trainers Manual. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2011. http://dx.doi.org/10.53055/icimod.541.

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Shrestha, A. B., G. C. Ezee, R. P. Adhikary, and S. K. Rai. Resource Manual on Flash Flood Risk Management; Module 3 - Structural Measures. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2012. http://dx.doi.org/10.53055/icimod.570.

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Shrestha, A. B., G. C. Ezee, R. P. Adhikary, and S. K. Rai. Resource Manual on Flash Flood Risk Management; Module 3 - Structural Measures. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2012. http://dx.doi.org/10.53055/icimod.570.

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