Relevant bibliographies by topics / Flash Flood Warnings

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Flash Flood Warnings'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Flash Flood Warnings"

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Martinaitis, Steven M., Jonathan J. Gourley, Zachary L. Flamig, Elizabeth M. Argyle, Robert A. Clark, Ami Arthur, Brandon R. Smith, Jessica M. Erlingis, Sarah Perfater, and Benjamin Albright. "The HMT Multi-Radar Multi-Sensor Hydro Experiment." Bulletin of the American Meteorological Society 98, no. 2 (February 1, 2017): 347–59. http://dx.doi.org/10.1175/bams-d-15-00283.1.

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Abstract There are numerous challenges with the forecasting and detection of flash floods, one of the deadliest weather phenomena in the United States. Statistical metrics of flash flood warnings over recent years depict a generally stagnant warning performance, while regional flash flood guidance utilized in warning operations was shown to have low skill scores. The Hydrometeorological Testbed—Hydrology (HMT-Hydro) experiment was created to allow operational forecasters to assess emerging products and techniques designed to improve the prediction and warning of flash flooding. Scientific goals of the HMT-Hydro experiment included the evaluation of gridded products from the Multi-Radar Multi-Sensor (MRMS) and Flooded Locations and Simulated Hydrographs (FLASH) product suites, including the experimental Coupled Routing and Excess Storage (CREST) model, the application of user-defined probabilistic forecasts in experimental flash flood watches and warnings, and the utility of the Hazard Services software interface with flash flood recommenders in real-time experimental warning operations. The HMT-Hydro experiment ran in collaboration with the Flash Flood and Intense Rainfall (FFaIR) experiment at the Weather Prediction Center to simulate the real-time workflow between a national center and a local forecast office, as well as to facilitate discussions on the challenges of short-term flash flood forecasting. Results from the HMT-Hydro experiment highlighted the utility of MRMS and FLASH products in identifying the spatial coverage and magnitude of flash flooding, while evaluating the perception and reliability of probabilistic forecasts in flash flood watches and warnings. NSSL scientists and NWS forecasters evaluate new tools and techniques through real-time test bed operations for the improvement of flash flood detection and warning operations.
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Huang, Wei, Zhixian Cao, Minghai Huang, Wengang Duan, Yufang Ni, and Wenjun Yang. "A New Flash Flood Warning Scheme Based on Hydrodynamic Modelling." Water 11, no. 6 (June 11, 2019): 1221. http://dx.doi.org/10.3390/w11061221.

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Flash flooding is one of the most severe natural hazards and commonly occurs in mountainous and hilly areas. Due to the rapid onset of flash floods, early warnings are critical for disaster mitigation and adaptation. In this paper, a flash flood warning scheme is proposed based on hydrodynamic modelling and critical rainfall. Hydrodynamic modelling considers different rainfall and initial soil moisture conditions. The critical rainfall is calculated from the critical hazard, which is based on the flood flow depth and velocity. After the critical rainfall is calculated for each cell in the catchment, a critical rainfall database is built for flash flood warning. Finally, a case study is presented to show the operating procedure of the new flash flood warning scheme.
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Créton-Cazanave, L. "Warning! The use of meteorological information during a flash-flood warning process." Advances in Science and Research 3, no. 1 (May 26, 2009): 99–103. http://dx.doi.org/10.5194/asr-3-99-2009.

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Abstract. Warning is a key issue to reduce flash floods impacts. But, despite many studies, local and national authorities still struggle to issue good flash floods warnings. We will argue that this failure results from a classical approach of warnings, based on a strict separation between the assessment world and the action world. We will go further than the previous criticisms (Pielke and Carbone, 2002) and show that forecasters, decision makers, emergency services and local population have quite similar practices during a flash-flood warning. Focusing on the use of meteorological information in the warning process, our case study shows that more research about the real practices of stakeholders would be another step towards integrated studies.
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Ma, Meihong, Huixiao Wang, Pengfei Jia, Guoqiang Tang, Dacheng Wang, Ziqiang Ma, and Haiming Yan. "Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China." Remote Sensing 12, no. 12 (June 17, 2020): 1954. http://dx.doi.org/10.3390/rs12121954.

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NASA’s Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) is a major source of precipitation data, having a larger coverage, higher precision, and a higher spatiotemporal resolution than previous products, such as the Tropical Rainfall Measuring Mission (TRMM). However, there rarely has been an application of IMERG products in flash flood warnings. Taking Yunnan Province as the typical study area, this study first evaluated the accuracy of the near-real-time IMERG Early run product (IMERG-E) and the post-real-time IMERG Final run product (IMERG-F) with a 6-hourly temporal resolution. Then the performance of the two products was analyzed with the improved Rainfall Triggering Index (RTI) in the flash flood warning. Results show that (1) IMERG-F presents acceptable accuracy over the study area, with a relatively high hourly correlation coefficient of 0.46 and relative bias of 23.33% on the grid, which performs better than IMERG-E; and (2) when the RTI model is calibrated with the gauge data, the IMERG-F results matched well with the gauge data, indicating that it is viable to use MERG-F in flash flood warnings. However, as the flash flood occurrence increases, both gauge and IMERG-F data capture fewer flash flood events, and IMERG-F overestimates actual precipitation. Nevertheless, IMERG-F can capture more flood events than IMERG-E and can contribute to improving the accuracy of the flash flood warnings in Yunnan Province and other flood-prone areas.
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Song, Park, Lee, Park, and Song. "Flood Forecasting and Warning System Structures: Procedure and Application to a Small Urban Stream in South Korea." Water 11, no. 8 (July 29, 2019): 1571. http://dx.doi.org/10.3390/w11081571.

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The runoff from heavy rainfall reaches urban streams quickly, causing them to rise rapidly. It is therefore of great importance to provide sufficient lead time for evacuation planning and decision making. An efficient flood forecasting and warning method is crucial for ensuring adequate lead time. With this objective, this paper proposes an analysis method for a flood forecasting and warning system, and establishes the criteria for issuing urban-stream flash flood warnings based on the amount of rainfall to allow sufficient lead time. The proposed methodology is a nonstructural approach to flood prediction and risk reduction. It considers water level fluctuations during a rainfall event and estimates the upstream (alert point) and downstream (confluence) water levels for water level analysis based on the rainfall intensity and duration. We also investigate the rainfall/runoff and flow rate/water level relationships using the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) and the HEC’s River Analysis System (HEC-RAS) models, respectively, and estimate the rainfall threshold for issuing flash flood warnings depending on the backwater state based on actual watershed conditions. We present a methodology for issuing flash flood warnings at a critical point by considering the effects of fluctuations in various backwater conditions in real time, which will provide practical support for decision making by disaster protection workers. The results are compared with real-time water level observations of the Dorim Stream. Finally, we verify the validity of the flash flood warning criteria by comparing the predicted values with the observed values and performing validity analysis.
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Li, Zhehao, Hongbo Zhang, Vijay Singh, Ruihong Yu, and Shuqi Zhang. "A Simple Early Warning System for Flash Floods in an Ungauged Catchment and Application in the Loess Plateau, China." Water 11, no. 3 (February 27, 2019): 426. http://dx.doi.org/10.3390/w11030426.

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Under climate change, flash floods have become more frequent and severe, and are posing a danger to society, especially in the ungauged catchments. The objective of this paper, is to construct a simple and early warning system, serving for flash floods risk management in the ungauged catchments of the Loess Plateau in China, and offer a reference for flash flood warning in other areas in the world. Considering the absence of hydrological data in the ungauged catchments, the early warning system for flash floods is established by combining the regional or watershed isograms of hydrological parameters and local empirical formulas. Therein, rainfall and water stage/flow are used as warning indices for real-time risk estimation of flash flood. For early warning, the disaster water stage was first determined according to the protected objects (e.g., residents and buildings), namely the critical water stage. The critical flow (flow threshold), was calculated based on the water stage, and the established relationship between water stage and flow using the cross-sectional measured data. Then, according to the flow frequency curve of the design flood, the frequency of critical flow was ascertained. Assuming that the rainfall and the flood have the same frequency, the critical rainfall threshold was calculated through the design rainstorm with the same frequency of the design flood. Due to the critical rainfall threshold being sensitive with different soil conditions, the design flood and frequency curve of flood flow were calculated under different soil conditions, and thus the rainfall threshold was given under different soil condition for early warning of the flash flood disaster. Taking two sections in Zichang County (within the Loess Plateau) as an example, we set the rainfall and water stage/flow thresholds to trigger immediate or preparation signals for the migration of the population along the river. The application of this method to the 7.26 flood events in 2017 in China, shows that the early warning system is feasible. It is expected that this simple early warning system can provide early warnings of flash floods in ungauged catchments in the Loess Plateau and other similar areas.
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Pan, Tsung-Yi, Hsuan-Tien Lin, and Hao-Yu Liao. "A Data-Driven Probabilistic Rainfall-Inundation Model for Flash-Flood Warnings." Water 11, no. 12 (November 30, 2019): 2534. http://dx.doi.org/10.3390/w11122534.

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Owing to their short duration and high intensity, flash floods are among the most devastating natural disasters in metropolises. The existing warning tools—flood potential maps and two-dimensional numerical models—are disadvantaged by time-consuming computation and complex model calibration. This study develops a data-driven, probabilistic rainfall-inundation model for flash-flood warnings. Applying a modified support vector machine (SVM) to limited flood information, the model provides probabilistic outputs, which are superior to the Boolean functions of the traditional rainfall-flood threshold method. The probabilistic SVM-based model is based on a data preprocessing framework that identifies the expected durations of hazardous rainfalls via rainfall pattern analysis, ensuring satisfactory training data, and optimal rainfall thresholds for validating the input/output data. The proposed model was implemented in 12 flash-flooded districts of the Xindian River. It was found that (1) hydrological rainfall pattern analysis improves the hazardous event identification (used for configuring the input layer of the SVM); (2) brief hazardous events are more critical than longer-lasting events; and (3) the SVM model exports the probability of flash flooding 1 to 3 h in advance.
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N. Mbau, Stella, and Vinesh Thiruchelvam. "Flash Flood Warning Sub-Systems for Rural Africa." International Journal of Engineering & Technology 7, no. 3.32 (August 26, 2018): 47. http://dx.doi.org/10.14419/ijet.v7i3.32.18389.

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This paper aims to present the need for sub-systems in rural Africa for real-time warning delivery. It has been reported in previous studies, that Sub-Sahara Africa lacks weather radars. This means that there are no real-time early warnings presenting a gap in knowledge that this study aims to address. This is done through the following objective; to examine the relationship between variables in the study and therefore, establish whether sub-systems are a significant variable in flash flood warning systems for rural Africa. The variables to be examined are; the independent variable (existing warning system), the dependent variable (early warnings), the moderator variable (ancillary elements) and the mediator variable (sub-systems). This is investigated through a closed-ended questionnaire that is administered to a sample of meteorologists whose email addresses are available on the World Meteorological Organization’s expert database. The target sample is determined through the G*Power application. The data is analyzed on SPSS. Variables in the study are found to be correlated after conducting a Pearson’s correlation test. Using PROCESS allows for the testing of various models where moderation is confirmed. A moderated mediation model is also confirmed. The results confirm that sub-systems are significant enough to be developed for rural Africa.
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Martinaitis, Steven M., Benjamin Albright, Jonathan J. Gourley, Sarah Perfater, Tiffany Meyer, Zachary L. Flamig, Robert A. Clark, Humberto Vergara, and Mark Klein. "The 23 June 2016 West Virginia Flash Flood Event as Observed through Two Hydrometeorology Testbed Experiments." Weather and Forecasting 35, no. 5 (October 1, 2020): 2099–126. http://dx.doi.org/10.1175/waf-d-20-0016.1.

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AbstractThe flash flood event of 23 June 2016 devastated portions of West Virginia and west-central Virginia, resulting in 23 fatalities and 5 new record river crests. The flash flooding was part of a multiday event that was classified as a billion-dollar disaster. The 23 June 2016 event occurred during real-time operations by two Hydrometeorology Testbed (HMT) experiments. The Flash Flood and Intense Rainfall (FFaIR) experiment focused on the 6–24-h forecast through the utilization of experimental high-resolution deterministic and ensemble numerical weather prediction and hydrologic model guidance. The HMT Multi-Radar Multi-Sensor Hydro (HMT-Hydro) experiment concentrated on the 0–6-h time frame for the prediction and warning of flash floods primarily through the experimental Flooded Locations and Simulated Hydrographs product suite. This study describes the various model guidance, applications, and evaluations from both testbed experiments during the 23 June 2016 flash flood event. Various model outputs provided a significant precipitation signal that increased the confidence of FFaIR experiment participants to issue a high risk for flash flooding for the region between 1800 UTC 23 June and 0000 UTC 24 June. Experimental flash flood warnings issued during the HMT-Hydro experiment for this event improved the probability of detection and resulted in a 63.8% increase in lead time to 84.2 min. Isolated flash floods in Kentucky demonstrated the potential to reduce the warned area. Participants characterized how different model guidance and analysis products influenced the decision-making process and how the experimental products can help shape future national and local flash flood operations.
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Ir Vinesh Thiruchelvam, Prof Dr, and Mbau Stella Nyambura. "A Flash Flood Early Warning System for Rural Kenya: A Pilot Study." International Journal of Engineering & Technology 7, no. 4.38 (December 3, 2018): 810. http://dx.doi.org/10.14419/ijet.v7i4.38.27550.

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The cost of climate change has increased phenomenally in recent years. Therefore, understanding climate change and its impacts, that are likely to get worse and worse into the future, gives us the ability to predict scenarios and plan for them. Flash floods, which are a common result of climate change, follow increased precipitation which then increases risk and associated vulnerability due to the unpredictable rainfall patterns. Developing countries suffer grave consequences in the event that weather disasters strike because they have the least adaptive capacity. At the equator where the hot days are hotter and winds carrying rainfall move faster, Kenya’s Tana River County is noted for its vulnerability towards flash floods. Additionally, this county and others that are classified as rural areas in Kenya do not receive short term early warnings for floods. This county was therefore selected as the study area for its vulnerability. The aim of the study is therefore to propose a flash flood early warning system framework that delivers short term early warnings. Using questionnaires, information about the existing warning system will be collected and analyzed using SPSS. The results will be used to interpret the relationships between variables of the study, with a particular interest in the moderation effect in order to confirm that the existing system can be modified; that is, if the moderation effect is confirmed.
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Dissertations / Theses on the topic "Flash Flood Warnings"

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Alhasanat, H. A. "Early warning system guidance to mitigate flash flood impacts in Petra region, Jordan." Thesis, University of Salford, 2017. http://usir.salford.ac.uk/44382/.

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The frequent occurrence of natural disasters; especially flash floods, are resulting the significant threats to many countries around the world. The truth that cannot be ignored, is that the effects of flash floods on the developing countries’ societies and economies are massive, compared with developed countries. Petra region; which is located in Jordan, is exposed to flash flood risks, which led to losses in lives, public and private properties. While the frequencies and impacts of flash floods might not be controlled easily, the need for more effective early warning systems has become extremely important. United Nations International Strategy for Disaster Reduction (UNISDR) and many researchers assumed that if an effective tsunami early warning system had been in place in the Indian Ocean region on 26 December 2004, thousands of lives would have been saved. Accordingly, Petra Region’s communities have experienced the impacts of flash floods in recent years due to absence of early warning systems and the lack of knowledge among communities about flash flood risks. These problems provide the context and demonstrate the significance of this study. Research aims to develop a responsive Flash Flood Early Warning System Guidance (FFEWSG) to enhance resilience in Petra Region. This research takes the social constructivism (interpretivism) stance in the continuum of philosophy and adopts a case study research strategy with qualitative method of research techniques. The research data collection was conducted in three phases. During the first phase, pilot semi structured interviews were conducted among people in Petra Region while the second phase focused on collecting the data from disaster affected communities, and disaster experts using semi-structured interviews. The third phase gathered information from Petra Development and Tourism Region Authority (PDTRA) documents. Data was analysed using content analysis. The research investigated flash floods in developed and developing countries; reviewed previous reports of flash flood events in Petra Region and how they affect the study area; and current early warning systems related to flooding. The research recommended a flash flood early warning system that could empower the local governmental institutions to mitigate flash flood impacts and enhance the resilience in Petra Region. It is expected that the research will add significant empirical evidence on the elements of the guidance within early warning system for flash flood, and will provide a useful tool in Petra Region for stakeholders, particularly for the government or the implementing agencies, helping to ensure the success of reducing the flash flood risks by the development of FFEWSG.
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Al-Haratani, Eisa Ramadan 1958. "A review of hydrologic models for flash flood warning system in southwest Saudi Arabia." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/191312.

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Various models have been applied in the analysis of hydrologic conditions in different watershed areas. The whole spectrum of models available as tools for natural resource managers is because the use of modeling techniques are limited for specific areas and/or purposes. Constraints and limitations have to be realized in order to properly select a model that answers the needs of a certain locality, for a stated goal. It is the purpose of this paper to review existing hydrologic models, and in the process, select the most promising for application in the southwestern part of Saudi Arabia for the purpose of designing flood control and warning systems. The six models under investigation are the SCS Method, SCS TR-20, Stanford, USDA HL-74, HEC-1 and ANSWERS. Based on the scope and limitations of each model, as well as certain restrictions found within the area of study, it became evident that the SCS models are the most appropriate. This became more apparent having considered the type of data input the models require that can be provided for in the study area, as well as the simplicity of the models and scale of application.
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Kouadio, Sekedoua Jules Athanase. "Les technologies smartphone comme outils d’aide à l’alerte face aux crues rapides en France : Expérimentations dans le Vaucluse et le Var." Thesis, Avignon, 2016. http://www.theses.fr/2016AVIG1163/document.

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En cas d’alerte aux inondations, l'information en temps réel et sa diffusion à un large public sont des éléments cruciaux pour limiter les comportements à risque, détecter les premiers dégâts ou préparer les acteurs locaux à gérer la crise. Face à ces enjeux, les technologies smartphones apparaissent, deplus en plus, comme des solutions logicielles et matérielles qui pourraient compléter de façon positiveles dispositifs d’alerte institutionnels, notamment grâce à la dynamique des contenus partagés et auxnombreuses interactions dont ils sont le support. Alors que plusieurs pays (États-Unis, Norvège, Pays-Bas, Suède, Philippines) utilisent déjà de tels outils, et même si le Ministère de l'Intérieur a lancé uneapplication urgentiste (SAIP) le 8 juin 2016, la population et les services de l’État semblent beaucoupplus réticents en France. La défense de la propriété individuelle, le manque de crédit attribué auxmessages postés et les verrous technologiques sont les principaux facteurs de blocage avancés. Aprèsavoir mené une enquête dans plusieurs communes rurales des départements du Var et du Vaucluse(qui confirme la méconnaissance des applications déjà existantes alors que les besoins sont bien réelsface aux crues rapides), une nouvelle application a été développée (Al’in). Le prototype créé vise àréduire les écarts entre une approche étatique descendante (top-down), qui positionne et impose l’Étatcomme le seul lanceur d’alerte, et une initiative citoyenne (approche « Bottom-Up »), qui érigel’individu au rang de « citoyen capteur », à la fois capable de remonter ou de diffuser une alerte àtravers l’usage de son smartphone. Répondre à ce défi ne s’avère toutefois pas si simple au regard descontraintes juridiques et techniques préexistantes en France
The information given on flash floods in real time should undoubtedly answers to the citizens needs aswell as to the politic and the safety services. Face to such objective, Smartphone could positivelycomplete the official institutional systems, especially thanks to the dynamic and nature of postedmessages, and to the social interactions they support. This study questions the opportunity ofdeveloping a proactive and innovative alert system using the Smartphone technologies to face therisks due to flash flood hazards. A first study focuses on several alert systems existing actually inFrance but we quickly aim at identifying limits (legal rules, technologies and scientific problems) andchallenges usefulness and opportunities in the numeric sphere) of our objective in general manner.Finally, a local study in Var and Vaucluse permits us to see if population and local stakeholdersshould be interested (or not) by a smartphone application. The proposed solution tries to achieve amajor challenge: reducing the gap between a state approach (top-down), which positions and imposedthe state as the main official alert source, and the citizen action (bottom-up) which establishes theindividual as “Citizen sensor” (both in go up or disseminate information) through the use of issmartphone. Meeting this challenge is indispensable if we hope effectively minimizing material andhuman damages especially when high temporal acuity phenomena such as flash floods happen
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"A Spatial Analysis of “Most Weather Warned” Counties by Severe Weather Phenomena in the Contiguous United States." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.53568.

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abstract: Severe weather affects many regions of the United States, and has potential to greatly impact many facets of society. This study provides a climatological spatial analysis by county of severe weather warnings issued by the National Weather Service (NWS) between January 1st, 1986 to December 31st, 2017 for the contiguous United States. The severe weather warnings were issued for county-based flash flood, severe thunderstorm, and tornado phenomena issued through the study period and region. Post 2002 severe weather warnings issued by storm warning area were included in this study in the form of county-based warnings simultaneously issued for each affected county. Past studies have researched severe weather warnings issued by the NWS, however these studies are limited in geographic representation, study period, and focused on population bias. A spatial analysis of severe weather warning occurrences by county identify that (a) highest occurrences of flash flood warnings are located in the desert Southwest and Texas, (b) severe thunderstorm warning occurrence is more frequent in Arizona, portions of the Midwest, the South, and the Mid and South Atlantic states, (c) the tornado activity regions of Tornado Alley and Dixie Alley (i.e. Colorado, Kansas, Oklahoma, Arkansas, Texas, Louisiana, Mississippi, Alabama, Tennessee, and Illinois) contained the highest occurrences of tornado warnings, and (d) the highest instances of aggregate warning occurrences are found in the desert Southwest, the Midwest, and the Southern regions of the United States. Generally, severe weather warning “hot spots” tend to be located in those same regions, with greater coverage. This study concludes with a comparison of local maxima and general hot spot regions to expected regions for each phenomenon. Implications of this study are far reaching, including emergency management, and has potential to reduce risk of life.
Dissertation/Thesis
Masters Thesis Geography 2019
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Al-Haratani, Eisa R. "A review of hydrologic models for flash flood warning system in southwest Saudi Arabia." 1988. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_etd_hy0040_m_sip1_w.pdf&type=application/pdf.

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Poolman, Eugene Rene. "A probabilistic impact-focussed early warning system for flash floods in support of disaster management in South Africa." Thesis, 2015. http://hdl.handle.net/2263/44331.

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The development of the Severe Weather Impact Forecasting System (SWIFS) for flash flood hazards in South Africa is described in this thesis. Impact forecasting addresses the need to move from forecasting weather conditions to forecasting the consequential impact of these conditions on people and their livelihoods. SWIFS aims to guide disaster managers to take early action to minimise the adverse effects of flash floods focussing on hotspots where the largest impact is expected. The first component of SWIFS produced an 18-hour probabilistic outlook of potential occurrence of flash floods. This required the development of an ensemble forecast system of rainfall for small river basins (the forecasting model component), based on the rainfall forecast of a deterministic numerical weather prediction model, to provide an 18-hour lead-time, taking into account forecast uncertainty. The second component of SWIFS covered the event specific societal and structural impacts of these potential flash floods, based on the interaction of the potential occurrence of flash floods with the generalised vulnerability to flash floods of the affected region (the impact model component). The impact model required an investigation into the concepts of regional vulnerability to flash floods, and the development of relevant descriptive and mathematical definitions in the context of impact forecasting. The definition developed in the study links impact forecasting to the likelihood and magnitude of adverse impacts to communities under threat, based on their vulnerability and due to an imminent severe weather hazard. Case studies provided evidence that the concept of SWIFS can produce useful information to disaster managers to identify areas most likely to be adversely affected in advance of a hazardous event and to decide on appropriate distribution of their resources between the various hotspots where the largest impacts would be. SWIFS contributes to the current international research on short-term impact forecasting by focussing on forecasting the impacts of flash floods in a developing country with its limited spatial vulnerability information. It provides user-oriented information in support of disaster manager decision-making through additional lead-time of the potential of flash floods, and the likely impact of the flooding. The study provides a firm basis for future enhancement of SWIFS to other severe weather hazards in South Africa.
Thesis (PhD)--University of Pretoria, 2015.
gm2015
Geography, Geoinformatics and Meteorology
PhD
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Books on the topic "Flash Flood Warnings"

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Sene, Kevin. Flash floods: Forecasting and warning. Dordrecht: Springer, 2013.

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

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Campbell, A. Kristine. 1982 and 1983 watch/warning verification: Flash flood, winter storm and high wind. Silver Spring, MD: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1985.

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Havens, Dennis. Flash Flood Warning. Xlibris Corporation, 2000.

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United States. National Weather Service, ed. Natural hazard watch and warning: With safety rules for tornadoes, hurricanes, floods, flash floods, thunderstorms/lightning, winter storms = Estado de alerta y estado de peligro en los casos de riesgos naturales : medidas de seguridad en casos de tornados, huracanes, inundaciones, inundaciones repentinas (torrentes), tormentas electricas, tormentas de invierno. [Silver Spring, Md.?]: National Oceanic and Atmospheric Administration, National Weather Service, U.S. Dept. of Commerce, 1991.

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Natural hazard watch and warning: With safety rules for tornadoes, hurricanes, floods, flash floods, thunderstorms/lightning, winter storms = Estado de alerta y estado de peligro en los casos de riesgos naturales : medidas de seguridad en casos de tornados, huracanes, inundaciones, inundaciones repentinas (torrentes), tormentas electricas, tormentas de invierno. [Silver Spring, Md.?]: National Oceanic and Atmospheric Administration, National Weather Service, U.S. Dept. of Commerce, 1991.

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Book chapters on the topic "Flash Flood Warnings"

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Sneeringer, Patrick. "Ranking Flash Flood Warnings: a Better Way to Relate Threat to the Public." In Coping With Flash Floods, 253–56. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0918-8_24.

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Helloco, François, Jean-Jacques Vidal, and Jean-Luc Chèze. "GISELE: A New Capability for Flash Flood Early Warnings Over Garonne River Sub-Basins." In Early Warning Systems for Natural Disaster Reduction, 277–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55903-7_36.

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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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Henson, Robert. "U.S. Flash Flood Warning Dissemination Via Radio and Television." In Coping With Flash Floods, 243–52. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0918-8_23.

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Handmer, John, Robert Henson, Patrick Sneeringer, Roman Konieczny, and Pawel Madej. "Warning Systems for Flash Floods: Research Needs, Opportunities and Trends." In Coping With Flash Floods, 77–89. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0918-8_10.

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Stewart, Kevin G. "Revelations from 21 years of Providing Flash Flood Warning Support in Denver, Colorado." In Coping With Flash Floods, 151–66. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0918-8_16.

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El Afandi, Gamal, and Mostafa Morsy. "Developing an Early Warning System for Flash Flood in Egypt: Case Study Sinai Peninsula." In Flash Floods in Egypt, 45–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29635-3_4.

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Xu, Zhanya, Xiangang Luo, Shuang Zhu, Di Wu, and Qi Guo. "A CPS-Improved Data Estimation Model for Flash Flood Early Warning Sensor Network." In Big Data Analytics for Cyber-Physical Systems, 247–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43494-6_12.

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Putra, Agie Wandala, Nn Ummul Choir Os, and Imaduddin Salma Faalih. "The Efficient Early Warning with South East- Asia Oceania Flash Flood Guidance System (SAOFFGS)." In Understanding and Reducing Landslide Disaster Risk, 245–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60311-3_28.

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Ngo, Thi Thanh Huong, Ba Thao Vu, and Trung Kien Nguyen. "Early Warning Systems for Flash Floods and Debris Flows in Vietnam: A Review." In Lecture Notes in Civil Engineering, 1233–40. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-2184-3_162.

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Conference papers on the topic "Flash Flood Warnings"

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TUDORACHE, Andreea-Violeta. "Current Possibilities for Elaborating Flash Flood Warnings in Romania. Case Study: the Flood Produced on 30 June 2018 in the Trotuș River Basin." In Air and Water Components of the Environment 2019 Conference. Casa Cărţii de Ştiinţă, 2019. http://dx.doi.org/10.24193/awc2019_16.

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Chonbodeechalermroong, Yongyut, and Sombat Chuenchooklin. "Flash flood warning system in risky area." In 2011 8th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2011). IEEE, 2011. http://dx.doi.org/10.1109/ecticon.2011.5947789.

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Janál, Petr, and Tomáš Kozel. "FUZZY LOGIC BASED FLASH FLOOD FORECAST." In XXVII Conference of the Danubian Countries on Hydrological Forecasting and Hydrological Bases of Water Management. Nika-Tsentr, 2020. http://dx.doi.org/10.15407/uhmi.conference.01.10.

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Abstract:
The flash flood forecasting remains one of the most difficult tasks in the operative hydrology worldwide. The torrential rainfalls bring high uncertainty included in both forecasted and measured part of the input rainfall data. The hydrological models must be capable to deal with such amount of uncertainty. The artificial intelligence methods work on the principles of adaptability and could represent a proper solution. The application of different methods, approaches, hydrological models and usage of various input data is necessary. The tool for real-time evaluation of the flash flood occurrence was assembled on the bases of the fuzzy logic. The model covers whole area of the Czech Republic and the nearest surroundings. The domain is divided into 3245 small catchments of the average size of 30 km2. Real flood episodes were used for the calibration and future flood events can be used for recalibration (principle of adaptability). The model consists of two fuzzy inference systems (FIS). The catchment predisposition for the flash flood occurrence is evaluated by the first FIS. The geomorphological characteristics and long-term meteorological statistics serve as the inputs. The second FIS evaluates real-time data. The inputs are: The predisposition for flash flood occurrence (gained from the first FIS), the rainfall intensity, the rainfall duration and the antecedent precipitation index. The meteorological radar measurement and the precipitation nowcasting serve as the precipitation data source. Various precipitation nowcasting methods are considered. The risk of the flash flood occurrence is evaluated for each small catchment every 5 or 10 minutes (the time step depends on the precipitation nowcasting method). The Fuzzy Flash Flood model is implemented in the Czech Hydrometeorological Institute (CHMI) – Brno Regional Office. The results are available for all forecasters at CHMI via web application for testing. The huge uncertainty inherent in the flash flood forecasting causes that fuzzy model outputs based on different nowcasting methods could vary significantly. The storms development is very dynamic and hydrological forecast could change a lot of every 5 minutes. That is why the fuzzy model estimates are intended to be used by experts only. The Fuzzy Flash Flood model is an alternative tool for the flash flood forecasting. It can provide the first hints of danger of flash flood occurrence within the whole territory of the Czech Republic. Its main advantage is very fast calculation and possibility of variant approach using various precipitation nowcasting inputs. However, the system produces large number of false alarms, therefore the long-term testing in operation is necessary and the warning releasing rules must be set.
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Achawakorn, Khosak, Kritsada Raksa, and Nattapong Kongkalai. "Flash flood warning system using SCADA system: Laboratory level." In 2014 International Electrical Engineering Congress (iEECON). IEEE, 2014. http://dx.doi.org/10.1109/ieecon.2014.6925908.

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Avila, Leandro, Humberto Ávila, and Augusto Sisa. "A Reactive Early Warning Model for Urban Flash Flood Management." In World Environmental and Water Resources Congress 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480632.030.

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Wannachai, Autanan, Paskorn Champrasert, and Somrawee Aramkul. "A self adaptive telemetry station for flash flood early warning systems." In 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2017. http://dx.doi.org/10.1109/ecticon.2017.8096320.

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Rapant, Petr, Tomas Inspektor, Jaromir Kolejka, Katenna Batelkova, Jana Zapletalova, Karel Kirchner, and Tomas Krejci. "Early warning of flash floods based on the weather radar." In 2015 16th International Carpathian Control Conference (ICCC). IEEE, 2015. http://dx.doi.org/10.1109/carpathiancc.2015.7145117.

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Vanderkimpen, P., I. Rocabado, J. Cools, M. El-Sammany, and A. Abdelkhalek. "FlaFloM – an early warning system for flash floods in Egypt." In FRIAR 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/friar100171.

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Li, Chenming, Baohua Xu, Tanghuai Fan, Huibin Wang, and Yan Gu. "Flash Flood Monitor and Early Warning Platform Design Based on Numerical Simulation." In 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2012. http://dx.doi.org/10.1109/rsete.2012.6260576.

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Yendri, Dodon, Angga Septiawan, and Zaini. "Flash Flood Early Warning System Using Mini PC Case Study: Mount Nago Water Reservoir." In 2018 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2018. http://dx.doi.org/10.1109/icitsi.2018.8696061.

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