Relevant bibliographies by topics / Cloudburst

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

Academic literature on the topic 'Cloudburst'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 March 2023

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Journal articles on the topic "Cloudburst"

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PABREJA, KAVITA, and RATTAN K. DATTA. "Clustering technique for interpretation of cloudburst over Uttarakhand." MAUSAM 67, no. 3 (December 8, 2021): 669–76. http://dx.doi.org/10.54302/mausam.v67i3.1386.

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Data Mining has been used extensively in various business and scientific applications for last few years. Data mining has been found to be providing a deep insight into understanding the hidden facts in huge databases. Data mining is an interdisciplinary subfield of computer science that discovers patterns in large data sets by using methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. In this paper, data mining technique for Interpretation of Weather Forecasts for one of the most disastrous weather phenomenon viz. cloudburst has been applied. Every year, cloudburst over hilly areas and coastal regions causes loss of lives and property. The forecasting and warning of these events is very difficult. There is no satisfactory technique for anticipating the occurrence of cloudbursts because of their small scale. A very fine network of radars is required to be able to detect the likelihood of a cloudburst and this would be prohibitively expensive. The warning of cloudburst could only be provided at a small lead time say a few hours in advance based on the interpretation of latest satellite imagery data, powerful radar (Doppler category), if available, or by using Model Output Statistics (MOS) models. Another dimension to forecasting this weather event has been identified by applying clustering technique on primary data forecasted by global and regional models of weather forecasting. A recent case of Cloudburst over Uttarakhand that caused a huge loss has been analyzed using k-means clustering technique of data mining. It has been observed that with the mining of Numerical Weather Prediction model forecast data, the signals of formation of cloudburst can be found3-4 days in advance.
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Sreekanti, Vikram, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Joseph E. Gonzalez, Joseph M. Hellerstein, and Alexey Tumanov. "Cloudburst." Proceedings of the VLDB Endowment 13, no. 12 (August 2020): 2438–52. http://dx.doi.org/10.14778/3407790.3407836.

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Ziersen, J., J. Clauson-Kaas, and J. Rasmussen. "The role of Greater Copenhagen Utility in implementing the city's Cloudburst Management Plan." Water Practice and Technology 12, no. 2 (June 1, 2017): 338–43. http://dx.doi.org/10.2166/wpt.2017.039.

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This paper describes Greater Copenhagen Utility's role in planning, coordinating and implementing Copenhagen's Climate Change Adaptation Plan and Cloudburst management strategy. Detailed hydraulic modelling of the seven catchments in the city resulted in the preparation of a cloudburst management plan with more than 350 interventions, at a budget of EUR 1.3 billion. Among the planned projects are designated cloudburst boulevards, retention spaces, green roads and cloudburst tunnels. The joint efforts in coordinating climate change adaptation with city planning and infrastructure implementation, are shown to be key to succeeding with the projects. Stakeholder involvement in preparing the cloudburst management strategy is important in identifying the optimal solutions.
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Salata, Stefano, Silvia Ronchi, Carolina Giaimo, Andrea Arcidiacono, and Giulio Gabriele Pantaloni. "Performance-Based Planning to Reduce Flooding Vulnerability Insights from the Case of Turin (North-West Italy)." Sustainability 13, no. 10 (May 19, 2021): 5697. http://dx.doi.org/10.3390/su13105697.

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Climate change impacts urban areas with greater frequency and exposes continental cities located on floodplains to extreme cloudbursts events. This scenario requires developing specific flooding vulnerability mitigation strategies that improve local knowledge of flood-prone areas at the urban scale and supersede the traditional hazard approach based on the classification of riverine buffers. Moreover, decision-makers need to adopt performance-based strategies for contrasting climate changes and increasing the resilience of the system. This research develops the recent Flooding Risk Mitigation model of InVEST (Integrated Evaluation of Ecosystem Services and Trade-off), where cloudburst vulnerability results from the soil’s hydrological conductivity. It is based on the assumption that during cloudburst events, all saturated soils have the potential for flooding, regardless of the distance to rivers or channels, causing damage and, in the worst cases, victims. The model’s output gives the run-off retention index evaluated in the catchment area of Turin (Italy) and its neighborhoods. We evaluated the outcome to gain specific insight into potential land use adaptation strategies. The index is the first experimental biophysical assessment developed in this area, and it could prove useful in the revision process of the general town plan underway.
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Jena, Pravat, Sourabh Garg, and Sarita Azad. "Performance Analysis of IMD High-Resolution Gridded Rainfall (0.25° × 0.25°) and Satellite Estimates for Detecting Cloudburst Events over the Northwest Himalayas." Journal of Hydrometeorology 21, no. 7 (July 1, 2020): 1549–69. http://dx.doi.org/10.1175/jhm-d-19-0287.1.

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AbstractThe presence of a sparse rain gauge network in complex terrain like the Himalayas has encouraged the present study for the concerned evaluation of Indian Meteorological Department (IMD) ground-based gridded rainfall data for highly prevalent events like cloudbursts over the northwest Himalayas (NWH). To facilitate the abovementioned task, we intend to evaluate the performance of these observations at 0.25° × 0.25° (latitude–longitude) resolution against a predefined threshold (i.e., 99.99th percentile), thereby initially comprehending the success of IMD data in capturing the cloudburst events reported in media during 2014–16. Further, seven high-resolution satellite products, namely, CMORPH V0.x, PERSIANN-CDR, TMPA 3B42RT V7, IMERG V06B, INSAT-3D multispectral rainfall (IMR), CHIRPS V.2, and PERSIANN-CCS are evaluated against the IMD dataset. The following are our main results. 1) Six out of 18 cloudburst events are detected using IMD gridded data. 2) The contingency statistics at the 99.99th percentile reveal that the probability of detection (POD) of TMPA varies from 19.4% to 53.9% over the geographical stretch of NWH, followed by PERSIANN-CDR (18.6%–48.4%) and IMERG (4.9%–17.8%). 3) A new metric proposed as improved POD (IPOD) has been developed in this work, which takes into account the temporal lag that exists between observed and satellite estimates during an event period. Results show that for an event analysis IPOD provides a better comparison. The IPOD for TMPA is 32.8%–74.4%, followed by PERSIANN-CDR (34.4%–69.11%) and IMERG (15.3%–39.0%). 4) The conclusion stands as precipitation estimates obtained from CHIRPS are most suitable for monitoring cloudburst events over NWH with IPOD of 60.5%–78.6%.
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Horton, Jessica L. "A Cloudburst in Venice." American Art 29, no. 1 (March 2015): 54–81. http://dx.doi.org/10.1086/681655.

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Chaudhuri, C., S. Tripathi, R. Srivastava, and A. Misra. "Observation- and numerical-analysis-based dynamics of the Uttarkashi cloudburst." Annales Geophysicae 33, no. 6 (June 3, 2015): 671–86. http://dx.doi.org/10.5194/angeo-33-671-2015.

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Abstract. A Himalayan cloudburst event, which occurred on 3 August 2012 in the Uttarkashi (30.73° N, 78.45° E) region of Uttarakhand, India, was analyzed. The near-surface atmospheric variables were analyzed to study the formation, evolution, and triggering mechanisms of this cloudburst. In order to improve upon the understanding provided by the observations, numerical simulations were performed using the Weather Research and Forecasting (WRF) model, configured with a single domain at 18 km resolution. The model was tuned using variation of different parameterizations (convective, microphysical, boundary layer, radiation, and land surface), and different model options (number of vertical levels, and spin-up time), which resulted in a combination of parameters and options that best reproduced the observed diurnal characteristics of the near-surface atmospheric variables. Our study demonstrates the ability of WRF in forecasting precipitation, and resolving synoptic-scale and mesoscale interactions. In order to better understand the cloudburst, we configured WRF with multiply nested two-way-interacting domains (18, 6, 2 km) centered on the location of interest, and simulated the event with the best configuration derived earlier. The results indicate that two mesoscale convective systems originating from Madhya Pradesh and Tibet interacted over Uttarkashi and, under orographic uplifting and in the presence of favorable moisture condition, resulted in this cloudburst event.
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SINGH, BIKRAM, and ROHIT THAPLIYAL. "Cloudburst events observed over Uttarakhand during monsoon season 2017 and their analysis." MAUSAM 73, no. 1 (January 15, 2022): 91–104. http://dx.doi.org/10.54302/mausam.v73i1.5084.

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Cloudburst is an extreme weather event characterised by the occurrence of a large amount of rainfall over a small area within a short span of time with a rainfall of 100 mm or more in one hour. It is responsible for flash flood, inundation of low lying areas and landslides in hills causing extensive damages to life and property. During monsoon season 2017 five number of cloudburst events are observed over Uttarakhand and analysed. Self Recording Rain Gauge (SRRG) and 15 minutes interval data from the newly installed General Packet Radio Service (GPRS) based Automatic Weather Station (AWS) are able to capture the cloudburst events over some areas in Uttarakhand. In this paper, an attempt has been made to find out the significant synoptic and thermodynamic conditions associated with the occurrence of the cloudburst events in Uttarakhand. These 5 cases of cloudburst events that are captured during the month of June, July and August 2017 in Uttarakhand are studied in detail. Synoptically, it is observed that the existence of trough at mean sea level from Punjab to head Bay of Bengal running close to Uttarakhand, the movement of Western Disturbance over north Pakistan and adjoining Jammu & Kashmir and existence of cyclonic circulation over north Rajasthan and neighbourhood are favourable conditions. Also, the presence of strong south-westerly wind flow from the Arabian Sea across West Rajasthan and Haryana on upper air charts are found during these events. Thermodynamically, the Convective Available Potential Energy (CAPE) is found to be high (more than 1100 J/Kg) during most of the cases and vertically integrated precipitable water content (PWC) is more than 55mm. The GPRS based AWS system can help in prediction of the cloud burst event over the specified location with a lead time upto half to one hour in association with radar products.
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McConnell, David. "The Carrbridge cloudburst of 1914*." Weather 55, no. 9 (September 2000): 320–25. http://dx.doi.org/10.1002/j.1477-8696.2000.tb04086.x.

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McConnell, David. "The Carrbridge cloudburst of 1923*." Weather 55, no. 11 (November 2000): 407–15. http://dx.doi.org/10.1002/j.1477-8696.2000.tb06473.x.

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Dissertations / Theses on the topic "Cloudburst"

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Smiyanov, Nikita. "Nutrients spreading with cloudburst modeling." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287367.

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Climate change and environmental disasters are strongly dependent. Humanity is facing considerable changes in environmental adaptions and remediation of contaminated sites. Water is a valuable resource that should be protected and prevented from hazardous influences. One of the main water quality problems is the excess of nutrients causing algae blooming. Many surface-and groundwaters have lost the ability to be used as anthropogenic water sources and other purposes (recreation, water supply, irrigation, etc.). Both nutrients and other substances impact water quality and climate change, making it challenging for modern society to maintain good water quality. Moreover, extreme rainfalls become more common, temporarily increasing surface runoff and exceeding infiltration capacity during high-intensity rainfall events. Water that is not capable of infiltration in the soil will run on the watershed into depressions and be infiltrated or spread to downstream catchments. This water might contain hazardous substances, e.g., nutrients, thereby enhancing water contamination in nearby waters. The investigation is made in how nutrients (P – phosphorus and N – nitrogen) spread depending on surface runoff from cloudburst in Hörby municipality in southern Sweden, Skåne-region. The land-use of the site is investigated, where pervious-and impervious areas are defined and further classified in more specific sub-groups. Different rain returns periods used to provide clear explanation of how the nutrient spreading is taking place and how rain intensity is impacting spreading of N and P. Furthermore, the sources of nutrient load are detected and investigated with a hydraulic model. The results show that the hydrodynamic model can be used to visualize the spread and determine the accumulated concentration in the flood area. Furthermore, rainfall mapping has been carried out to identify vulnerable areas in the landscape and determine critical parameters such as distribution and maximum water depth. The method's application area has been discussed in the industry's interest in studying cloudburst more simply and cost- effectively in parallel with nutritional load problems.
Klimatförändringar och miljökatastrofer är starkt beroende händelser. Mänskligheten står inför betydande förändringar i miljöanpassningar och sanering av förorenade platser. Vatten är en värdefull resurs som bör skyddas och förhindras från farlig påverkan. Ett av de viktigaste vattenkvalitetsproblemen är överflödet av näringsämnen som orsakar alger som blommar. Många yt- och grundvattenkällor har förlorat förmågan att nyttjas som dricksvattenkällor samt källor för andra ändamål (rekreation, vattenförsörjning, bevattning etc.). Både näringsämnena och andra kemikalietyper påverkar vattenkvaliteten och klimatförändringarna, vilket gör det utmanande för det moderna samhället att upprätthålla god vattenkvalitet. Dessutom blir extrema regn i form av skyfall vanligare och ökning i avrinning från ytor som överstiger infiltrationskapaciteten under högintensiva regnhändelser. Vatten som inte kan infiltrera i marken kommer att rinna längst avrinningsområdet till låga punkter och infiltreras eller spridas till nedströms avrinningsområden. Den rinnande vatten kan innehålla farliga ämnen, t.ex. näringsämnen, vilket kan bidra till ökade föroreningar i närliggande vattendrag. Undersökningen görs i hur näringsämnen (P - fosfor och N - kväve) sprids beroende på ytavrinning från skyfall i Hörby kommun, Skåne, i södra Sverige. Områdets markanvändning undersöks, där genomträngliga och ogenomträngliga ytor definieras och klassificeras ytterligare i mer specifika undergrupper. Olika återkomsttider på regn används för att ge en förklaring på hur närsaltsspridningen sker och hur regnintensiteten påverkar spridningen av fosfor och kväve. Vidare upptäcks och undersöks källorna för näringsbelastning med en hydraulisk modell. Resultaten visar att den hydrodynamiska modellen kan användas för att visualisera spridningen och bestämma den ackumulerade näringsbelastningen i översvämningsområdet. Dessutom har skyfallskartering genomförts för att identifiera utsatta områden i landskapet och bestämma kritiska parametrar som fördelning och maximalt vattendjup. Metodens applikationsområde har diskuterats av kommersiellt intresse i att studera skyfall på ett enkelt och kostnadseffektivt sätt parallellt med närsaltsbelastningen.
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Sartini, Antonio. ""Bombe d'acqua" ed eventi estremi: integrazione di metodi tradizionali con tecniche GIS in un piccolo bacino pedecollinare." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8437/.

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I cambiamenti climatici stanno sempre più influenzando l’assetto territoriale ed ambientale della nostra società. Questo fatto si evince da eventi che riescono a sconvolgere le opere atte alla loro mitigazione; tali sistemi vengono progettati tenendo conto delle competenze acquisite in campo teorico e archivistico, ovvero la serie dei dati storici sui quali costruire dei modelli probabilistici che permettano di determinare il massimo grado di intensità che l'evento di interesse potrà generare. Questi database, però, conseguentemente ai cambiamenti ambientali cui stiamo avendo testimonianza diretta, risultano essere sempre meno affidabili allo scopo di impostare questi studi di tendenza. Esempio di quanto detto sono le alluvioni, generate da eventi meteorologici fuori dall'ordinario: queste situazioni, sempre più frequenti sul nostro territorio, oltre che subire l'influsso dei cambiamenti climatici, trovano un substrato favorevole nel quale attecchire, dovuto dall'alto grado di antropizzazione del territorio. In questo ambito, rientrano quegli eventi che i media chiamano "bombe d'acqua", le quali scaricano su un piccolo territorio una massiccia quantità di acque di precipitazione in un arco di tempo estremamente limitato. L'effetto principale è quello di mettere in crisi la rete idrologica della zona colpita, la quale non è stata progettata per sopportare eventi di tale magnitudo. Gli effetti avversi sul territorio possono essere importanti e vantano una vasta gamma di effetti. Inondazioni ed allagamenti in primis, poi i conseguenti da danni economici, ma anche smottamenti o colate di fango ed il collasso dei sistemi fognari. In questo lavoro di tesi, queste problematiche saranno trattate col fine ultimo di valutare delle soglie di precipitazioni, tali per cui, in caso di eventi meteorologici fuori dall’ordinario, sarà possibile allertare la popolazione localizzata nella zona soggetta a rischio idro-geologico. Questa analisi è stata condotta grazie ai dati reperiti per un piccolo bacino pedecollinare del Comune di Rimini.
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Iten, Shoshana, and Julia Filling. "Stormwater Governance Commoning in Rostorp, Malmö: Practicing shared responsibility in stormwater governance." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23432.

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Andersson, Evelina. "Flood modelling in urban areas : A comparative study of MIKE 21 and SCALGO Live." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300466.

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Pluvial flooding originating from extreme rainfall is problematic and an increasing issue in Sweden. Higher requirements on adapting cities in urban areas to these challenges have been placed on both municipalities and the county administration. Thus, an increased need for water modelling, both in existing and planned areas have emerged. The Danish Hydrological Institute (DHI) has developed several models and tools to simulate floods and heavy rains, of which MIKE 21 is one. MIKE 21 is a dynamic model consisting of hydrological calculations in each cell, requiring modelling skills and long simulation time, but is proven to be a good and credible model. SCALGO Live, on the other hand, is a static tool simulated by raster-based algorithms and capable of giving fast results directly on the platform. However, compared to MIKE 21, SCALGO Live is not as evaluated nor is its use as widespread for simulating floods and heavy rain events. This study aims to investigate how inundation in twenty urban areas caused by cloudbursts is simulated in both programs to examine how well the result coming from SCALGO Live, is equivalent to the result from the MIKE 21-model. The comparison is made in both depth and spread using three comparative indexes, two statistical equations and one map, showing the extension of the inundation in both models. To make the models comparable, the model in MIKE 21 is made as equivalent as possible with SCALGO Live before simulation and the purpose is to investigate whether there is any type of area where the two different models are equivalent. The result shows that the flooded areas from SCALGO Live are in good agreement in most areas with the MIKE 21-model, but that the depth in the depression zones is somewhat overestimated, compared with the highest value in MIKE 21. The MIKE 21-model has a greater spread upstream, showing flowpaths if compared directly with the flooded areas from SCALGO Live, but if activating the flow accumulation tool in SCALGO Live, the differences are reduced but cannot be quantified in this study. The differences between the models increase with a higher resolution, longer flowpaths and a larger catchment, at least for the confined catchments. To conclude, SCALGO Live is best suited for smaller confined catchments where there are no long or complex flowpaths. SCALGO Live also works well at an early stage in the planning process and as a platform for combining detailed data and results. However, for the more complex areas, MIKE 21 is better suited, since various parameters can be considered.
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Hård, Johnnie. "Pluvial översvämning, kartering av riskområden : Kullö, Rindö och Resarö i Vaxholms stad." Thesis, Stockholms universitet, Institutionen för naturgeografi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-132343.

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Short and intense rainfall, called cloudbursts, is becoming more frequent in Sweden as an effect of climate change. With that comes an increased frequency of flooding events caused by the heavy rainfall, called pluvial flooding. This is especially problematic in urban areas where large areas of impervious surface greatly increases the volumes of surface runoff. Mapping of bluespots, locations where pluvial flooding is more likely to occur, can be an important aid towards preventing this kind of flooding. This study concerns performing such a mapping for the islands Kullö, Resarö and Rindö in the municipality Vaxholms stad, Sweden. These islands are chosen for being future high development areas. The analysis is done through hydrological modelling of a digital elevation model. From that expected runoff volumes is calculated from statistical models of precipitation data. Analysis of the result concludes that the major road, 274, is expected to be affected by flooding along two sections. Some houses and other minor roads are also affected. But the overall impact on infrastructure and social functions is low. The mapping should be able to function as a tool in the flood preventative work of Vaxholms stad and in planning of future developments.
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Lane, Jonathan. "Stad under vatten : Skyfall, ett window of opportunity för klimatanpassning?" Thesis, Blekinge Tekniska Högskola, Institutionen för fysisk planering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14435.

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The climate is about to change to a warmer state. At least according to global and Swedish national climate prognoses from IPCC and SMHI. According to the same prognoses these changes will have an significant impact on cities. Impacts such as, for example, more intense and frequently occuring downpours and raised sea levels which leaves cities at the risk of flooding. The process of adapting cities to climate changes can be seen as a task for the spatial planing, a process that can be called climate adaption. However, the question of adapting cities to future climate changes is at low priority due to many causes. This study aims to examine what happens if a prognosed risk of climate change precedes the actual changes. Could such an inident lead to a more proactive planning for adaption to climate changes? In 2nd of July 2011 there was a skyfall in Copenhagen, Denmark. An incident that lead to an extensive flooding of the city. The municipality of Copenhagens process for climate adaption, in terms of making Copenhagen resilient to floodings caused by heavy downpours, through strategical documents constitutes the Case in this study. The aim of this essay is to study the connection between crises and the process of climate adaption. An aim that’s going to be achieved by examining if the incident in 2011 have been a window of opportunity for the process of climate adaption that constitutes the Case in this essay.
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Elfström, Daniel, and Max Stefansson. "How design storms with normally distributed intensities customized from precipitation radar data in Sweden affect the modeled hydraulic response to extreme rainfalls." Thesis, Uppsala universitet, Luft-, vatten- och landskapslära, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-437729.

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Intense but short-term cloudbursts may cause severe flooding in urban areas. Such short-term cloudbursts mostly are of convective character, where the rain intensity may vary considerably within relatively small areas. Using uniform design rains where maximum intensity is assumed over the whole catchment is common practice in Sweden, though. This risks overestimating the hydraulic responses, and hence lead to overdimensioning of stormwater systems. The objective of this study was to determine how the hydraulic response to cloudbursts is affected by the spatial variation of the rain in relation to the catchment size, aiming to enable improved cloudburst mapping in Sweden. Initially, the spatial variation of heavy rains in Sweden was investigated by studying radar data provided by SMHI. The distribution of rainfall accumulated over two hours from heavy raincells was investigated, based on the assumption that the intensity of convective raincells can be approximated as spatially Gaussian distributed. Based on the results, three Gaussian test rains, whose spatial variation was deemed a representative selection of the radar study, were created. In order to investigate how the hydraulic peak responses differed between the Gaussian test rains and uniform reference rains, both test and reference rains were modeled in MIKE21 Flow model. The modelling was performed on an idealised urban model fitted to Swedish urban conditions, consisting of four nested square catchments of different sizes. The investigated hydraulic peak responses were maximum outflow, proportion flooded area and average maximum water depth. In comparison with spatially varied Gaussian rains centered at the outlets, the uniform design rain with maximum rain volume overestimated the peak hydraulic response with 1-8%, independent of catchment size. Uniform design rains scaled with an area reduction factor (ARF), which is averaging the rainfall of the Gaussian rain over the catchment, instead underestimated the peak response, in comparison with the Gaussian rains. The underestimation of ARF-rains increased heavily with catchment size, from less than 5 % for a catchment area of 4 km2 to 13 - 69 % for a catchment area of 36 km2. The conclusion can be drawn that catchment size ceases to affect the hydraulic peak response when the time it takes for the whole catchment to contribute to the peak response exceeds the time it takes for the peak to be reached. How much the rain varies over the area which is able to contribute to the peak response during the rain event, can be assumed to decide how much a design rain without ARF overestimates the peak responses. If the catchment exceeds this size, an ARF-scaled rain will underestimate the peak responses. This underestimation is amplified with larger catchments. The strong pointiness of the CDS-hyetograph used in the study risks underestimating the differences in hydraulic peak responses between the test rains and a uniform rain without ARF, while the difference between test rains and uniform rains with ARF risks being overestimated.
Intensiva men kortvariga skyfall kan orsaka omfattande översvämningsproblematik i urbana områden. Trots att sådana kortvariga skyfall oftast är av konvektiv karaktär, där regnintensiteten kan variera avsevärt inom relativt små områden, används idag uniforma designregn där maxintensitet antas över hela avrinningsområdet. Detta riskerar att leda till en överskattning av hydrauliska responser, och följaktligen överdimensionering av dagvattensystem. Denna studie syftar till att utreda hur den hydrauliska responsen av skyfall påverkas av regnets spatiala variation, i relation till avrinningsområdets storlek. Ytterst handlar det om att möjliggöra förbättrad skyfallskartering i Sverige. Initialt undersöktes den spatiala variationen hos kraftiga regn i Sverige, genom en studie av radardata tillhandahållen av SMHI. Utbredningen av regnmängd ackumulerad över två timmar från kraftiga regnceller undersöktes utifrån antagandet att intensiteten hos konvektiva regnceller kan approximeras som spatialt gaussfördelad. Baserat på resultatet skapades tre gaussfördelade testregn vars spatiala variation ansågs utgöra ett representativt urval från radarstudien. För att undersöka hur de hydrauliska responserna skiljer sig åt mellan de gaussfördelade testregnen och uniforma referensregn, modellerades såväl test- som referensregn i MIKE 21 Flow model. Modelleringen utfördes på en idealiserad stadsmodell anpassad efter svenska urbana förhållanden, bestående av fyra nästlade kvadratiska avrinningsområden av olika storlekar. De hydrauliska responser som undersöktes var maximalt utflöde, maximal andel översvämmad yta samt medelvärdesbildat maximalvattendjup, alltså toppresponser. Jämfört med spatialt varierade gaussregn centrerade kring utloppen överskattade ett uniformt designregn med testregnens maximala volym de hydrauliska toppresponserna med 1-8 %, oberoende av avrinningsområdets storlek. Uniforma designregn skalade med area reduction factor (ARF), vilken medelvärdesbildar gaussregnets nederbörd över avrinningsområdet, underskattade istället toppresponsen jämfört med gaussregnen. ARF-regnets underskattning ökade kraftigt med avrinningsområdets storlek, från mindre än 5 % för ett avrinningsområde på 4 km2, till 13 - 69 % för ett avrinningsområde på 36 km2. Slutsatsen kan dras att avrinningsområdets storlek upphör att påverka den hydrauliska toppresponsen, då tiden det tar för hela avrinningsområdet att samverka till toppresponsen överstiger tiden till denna respons. Hur mycket regnet varierar över det område som under regnhändelsen hinner samverka till toppresponsen, kan antas avgöra hur mycket ett designregn utan ARF överskattar toppresponserna. Överstiger avrinningsområdet denna storlek kommer ett ARF-regn att underskatta toppresponserna, och underskattningen förstärks med ökande avrinningsområdesstorlek. Den kraftiga temporala toppigheten hos den CDS-hyetograf som användes i studien riskerar att underskatta skillnaderna i hydraulisk topprespons mellan testregnen och ett uniformt regn utan ARF, medan skillnaden mellan testregn och uniforma regn med ARF istället riskerar att överskattas.
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Friman, Jacob. "Skyfallskartering i Kumla : 2D-hydraulisk modellering och känslighetsanalys." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325123.

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Översvämningar till följd av intensiva nederbördstillfällen har de senaste åren ökat i antal och omfattning. Dessa händelser förväntas bli vanligare i framtiden och skapa fler översvämningar. Med anledning av detta är det intressant att undersöka hur översvämningar i framtiden breder ut sig och vilka vattennivåer som bildas med förväntad nederbörd. Att modellera översvämningar kräver data som i vissa fall kan vara både tidskrävande och omständig att införskaffa. Möjliga avgräsningar och antaganden i modellparametrar kan då vara intressanta att göra som fortfarande ger användbara resultat. En skyfallskartering har genomförts med 2D-hydraulisk modellering i Kumla med programvaran MIKE 21 Flow Model FM. De översvämningskartor som skapades användes för att identifiera områden i Kumla som riskerar att drabbas av höga vattennivåer till följd av skyfall motsvarande 100- och 200-årsregn. En stor osäkerhet vid modellering av översvämningar är att validera resultaten som fås fram. Ofta saknas information om tidigare översvämningar. De nederbördstillfällen som används är ofta så stora att det saknas data om liknande händelser tidigare. Vid översvämningsmodellering anväds data som beskriver olika typer av modellparametrar. Dessa kommer med ytterligare osäkerheter som kan göra valideringen problematisk. För att undersöka hur stor effekt olika modellparametrar har på resultatet genomfördes en känslighetsanalys där differenskartor skapades mellan undersökta scenarion och referenskartor. Skyfallskarteringen visade att stora delar i Kumla drabbas av översvämningar för både ett 100- och 200-årsregn. Området Kumlaby identifierades som känsligt och får höga vattennivåer. Detta beror mest troligt på omgivningens topografi och att Kumlaby underlagras av leror med låg infiltrationskapacitet. I känslighetsanalysen identifierades markens råhet och infiltrationskapacitet vara styrande parametrar för översvämningens utbredning och vattennivåer. Dessa påverkar främst hur höga vattenflöden som uppstår och översvämningens utbredningen och vattennivåer. Kunskap om dessa parametrar är viktigt för att undvika över- eller underskattning av en översvämning. Användningen av avrinningskoefficienter istället för markens råhet, infiltrationskapacitet och evaporation undersöktes. Differensen i översvämningens utbredning och vattennivåer blev stor i och utanför Kumla tätort. På mindre områden kan det vara mer lämpligt att använda en avrinningskoefficient när en mer detaljerad klassning kan göras av de markytor som finns. Ett scenario som undersöktes i känslighetsanalysen var installation av gröna tak på alla byggnader i Kumla. Simuleringarna som genomfördes visade att både utbredningen och vattennivåer minskade. Detta till följd av större lagringskapacitet och motstånd mot vattenflöden som kommer med gröna tak.
Urban floods caused by intense rainfall have occurred more frequently the last couple of years. These rainfall events are expected to become more common in the future and create more floods in urban areas. This makes it important to investigate the extent and water levels from urban floods in the future. In order to simulate floods, different types of data is needed. This data can be both time consuming and difficult to obtain. With this in mind, it is interesting to investigate possible simplifications and assumptions of model parameters. A cloud burst mapping was made with 2D hydraulic modelling in Kumla with the software MIKE 21 Flow Model FM. The flood maps created were used to identify areas in Kumla which have a higher risk of being subject to high water levels. One uncertainty while modelling urban floods is the process of validating the results. There is often a lack of data for the used rainfall events or information from previous floods in the area. In flood modelling data is used which describes different model parameters, these comes with additional uncertainties and can make the validation more difficult. A sensitivity analysis was made to be able to examine effects on the results from variations in model parameters. The cloud burst mapping showed that large parts of Kumla will be affected by water levels which goes up to 1 m. The area Kumlaby was identified as being sensitive for high water levels. This is due to placement of Kumlaby below higher ground which causes water to flow toward Kumlaby. The ground below is mostly made up of clay which has low infiltration capacity. In the sensitivity analysis the bed resistance and infiltration capacity were identified as governing parameters regarding the extent and water levels of urban floods. In order to avoid over- or underestimation of floods it is important to have knowledge about these parameters in the model area. The use of a runoff coefficient instead of bed resistance, infiltration and evaporation were examined. The difference of the resulting flood were large in the whole model area. In smaller areas a runoff coefficient could be used with better results when a more detailed description can be made of the surfaces in the area. A scenario where green roofs were assumed to have been installed on all buildings in Kumla were examined. The simulations showed that both the extent and water levels decreased. This due to the fact that green roofs have a capacity to store water and delay flows of water.
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Lampinen, Alexi. "Skyfallskartering och åtgärdsanalys för Akademiska sjukhuset i Uppsala : Hydraulisk modellering i MIKE 21 och känslighetsanalys." Thesis, Uppsala universitet, Luft-, vatten- och landskapslära, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415881.

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Översvämningar till följd av skyfall har blivit allt vanligare och förväntas att öka i takt med klimatförändringarna. Översvämningar kan ställa till stora skador för ett samhälle, framförallt när de samhällsviktiga verksamheterna blir drabbade. För att undvika att detta sker bör samhället vara byggt för att tåla stora volymer vatten som faller vid ett skyfall. Ett steg för att nå dit är att göra en skyfallskartering där flödesvägar, vattenvolymer och översvämningens utbredning tas fram genom hydraulisk modellering. Utifrån skyfallskarteringen kan sårbara områden upptäckas och förebyggande åtgärder kan utföras för att minska översvämningens negativa påverkan. Akademiska sjukhuset i Uppsala är en samhällsviktig verksamhet och har tidigare haft problem med översvämningar. I den här studien har en skyfallskartering utförts på Akademiska sjukhusets område för att ta reda på översvämningens utbredning vid ett skyfall och vilka åtgärder som lämpar sig för att förhindra översvämningar. Skyfallskarteringen utfördes i det tvådimensionella (2D) hydrauliska modelleringsprogrammet MIKE 21 Flow Model. Eftersom en skyfallskartering baseras på många generaliseringar finns det vissa osäkerheter kring valet av parametrar. Därför har även en känslighetsanalys utförts kring valet av regntyp (Chicago Design Storm (CDS) jämfört med ett blockregn), regnets varaktighet, grönytornas avrinningskoefficient och markens infiltrationshastighet. Indata till modellen baserades på olika kartdata som bearbetades i GIS-programmet ArcMap. Flera olika regn med varierande återkomsttid simulerades. Resultaten visade att det blir översvämning inne på sjukhusområdet vid ett 100-årsregn som förvärras när återkomsttiden ökar. Åtgärdsanalysen utfördes genom att lägga in förändringar i höjdmodellen för att se hur det påverkar översvämningens utbredning. Analysen visade att åtgärder som jordvallar och höjdsättning av marken kan tillämpas på området för att minska översvämningsrisken. Resultatet från känslighetsanalysen visade att ett CDS-regn ger större översvämningskonsekvenser i modelleringen än om ett blockregn av samma återkomsttid och varaktighet används. Känslighetsanalysen av varaktigheterna visade att en lång varaktighet kan leda till låga flödestoppar som inte representerar ett skyfall väl. En avrinningskoefficient på 0,4 beskriver infiltrationen i området väl och när en större avrinningskoefficient används tenderar översvämningen att bli större på grönytorna. Till sist visade resultatet att infiltrationshastigheten är en känslig parameter som bör väljas efter mer noggrann analys av marken i modelleringsområdet.
Flooding as a cause of cloudbursts have become more common and is expected to increase with climate change. Floods can cause substantial damage to a society, especially when the critical societal functions are affected. To avoid this the city should be built to tolerate large volumes of water from cloudbursts. As a step on the way to accomplish this, a cloudburst mapping could be made where flow paths, water volumes and the extent of the flooding are studied through hydraulic modelling. Through the cloudburst mapping, vulnerable areas can be spotted, and flood prevention measures can be taken to lessen the extent of the floods negative impact. Uppsala University Hospital serves a critical societal function and has previously had problems with flooding. In this project a cloudburst mapping has been made in the two dimensinoal (2D) hydraulic modelling program, MIKE 21. This was done to find out the extent of a flood caused by a cloudburst event and what measures that can be taken to prevent floods. A cloudburst mapping is based off many generalized assumptions and there are some uncertainties when selecting the parameters. Because of this, a sensitivity analysis was performed on the selection of rain-type (Chicago Design Storm (CDS) vs. block-rain), rain duration, the runoff coefficient and the soil's infiltration capacity. The inputs of the model were based off different geographic data and then constructed in the GIS-program ArcMap. Several different rain events with varying duration and return periods were simulated. The results showed that there is considerable flooding in the area after a rain with a 100-year return period and it gets worse when the return period increases. The flood prevention analysis was made by editing the terrain to mimic flood prevention measures and study how the extent of the flood responds to the edits. The analysis showed that measures like soil barriers and changes in elevation were effective in lessening the risk of flooding. The results from the sensitivity analysis showed that a CDS-rain causes a more significant flooding compared to a block-rain of the same return period and duration. The sensitivity analysis of the rain duration proved that a long duration can lead to flat flow curves that doesn't resemble a flow curve from a cloudburst event. A runoff coefficient of 0.4 describes the infiltration in the area well and with a larger coefficient the flooding on greenery tend to grow. Lastly, the infiltration capacity proved to be a sensitive parameter that needs to be selected carefully, preferably after a thorough soil analysis.
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Wen-Han, Chou, and 周彣翰. "Assessment of Shelter Location for Slopeland Disasters Caused by Cloudburst －A Case Study of Kaohsiung Liugui." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/8v7839.

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Books on the topic "Cloudburst"

1

Keast, Francis. Cloudburst. Long Preston: Dales, 1988.

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Cloudburst. London: Hale, 1986.

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Cloudburst. London: Hodder Children's, 1998.

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Andrews, V. C. Cloudburst. New York: Gallery Books, 2011.

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Andrews, V. C. Cloudburst. Waterville, Me: Thorndike Press, 2012.

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Cloudburst: A novel. New York: W. Morrow, 1993.

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Lemos, Armando. IBM CloudBurst on System x. [S.l.]: IBM Redbooks, 2012.

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Bhosale, Shivaji D. WebSphere Cloudburst Appliance and PowerVM. [Poughkeepsie, N.Y.?]: IBM, International Technical Support Organization, 2010.

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Buckeye, Donald Andrew. Cloudburst of creative mathematics activities. Pacific Grove, CA: Midwest Publications, 1989.

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Lott, Neal. A California cloudburst!: January & March 1995. [Ashville, N.C.]: National Climatic Data Center, Research Customer Service Group, 1995.

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Book chapters on the topic "Cloudburst"

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Kumar, Vijay. "Cloudburst." In Encyclopedia of Earth Sciences Series, 156–57. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-2642-2_69.

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Hess, Linda M. "Lesbian Aging Hits the Road: Thom Fitzgerald’s Cloudburst (2011)." In Queer Aging in North American Fiction, 199–222. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03466-5_9.

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Singh, Sachchidanand, and Mitthan Lal Kansal. "Cloudburst—A Major Disaster in The Indian Himalayan States." In Springer Tracts in Civil Engineering, 115–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5312-4_9.

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Singh, Hemant, Divyesh Varade, and Prabhash K. Mishra. "Cloudburst Events in the Indian Himalayas: A Historical Geospatial Perspective." In International Handbook of Disaster Research, 1–21. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8800-3_192-1.

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Dahiya, Garima, Pravat Jena, Sourabh Garg, and Sarita Azad. "Inter-Comparison of High Resolution Satellite Estimates for Cloudburst Events in the Northwest Himalaya." In Himalayan Weather and Climate and their Impact on the Environment, 3–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29684-1_1.

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Singh, Sachchidanand, and Mitthan Lal Kansal. "Cloudburst Induced Flood Assessment in the North-Western Himalayan Region—A Case Study of Upper Beas Basin." In 5th World Congress on Disaster Management, 89–99. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003341932-11.

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Buyya, Rajkumar, Suraj Pandey, and Christian Vecchiola. "Cloudbus Toolkit for Market-Oriented Cloud Computing." In Lecture Notes in Computer Science, 24–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10665-1_4.

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Buyya, Rajkumar, Suraj Pandey, and Christian Vecchiola. "Market-Oriented Cloud Computing and The Cloudbus Toolkit." In Large Scale Network-Centric Distributed Systems, 319–58. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118640708.ch14.

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"cloudburst." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 238. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_32524.

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"IV The Cloudburst." In The Rage of Islam: An Account of the Massacres of Christians by the Turks in Persia, 65–84. Piscataway, NJ, USA: Gorgias Press, 2006. http://dx.doi.org/10.31826/9781463211486-007.

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Conference papers on the topic "Cloudburst"

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Kross, Johannes, and Andreas Wolke. "Cloudburst - Simulating Workload for IaaS Clouds." In 2014 IEEE 7th International Conference on Cloud Computing (CLOUD). IEEE, 2014. http://dx.doi.org/10.1109/cloud.2014.116.

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Zeng, Gaoxiong, Li Chen, Bairen Yi, and Kai Chen. "Cutting Tail Latency in Commodity Datacenters with Cloudburst." In IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. IEEE, 2022. http://dx.doi.org/10.1109/infocom48880.2022.9796898.

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Candeia, David, Ricardo Araujo, Raquel Lopes, and Francisco Brasileiro. "Investigating Business-Driven Cloudburst Schedulers for E-Science Bag-of-Tasks Applications." In 2010 IEEE 2nd International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2010. http://dx.doi.org/10.1109/cloudcom.2010.67.

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Fiore, Alex R., Francis X. Ashland, and Pamela A. Reilly. "HYDROLOGIC RESPONSE ASSOCIATED WITH SHALLOW SLOPE FAILURES DURING A CLOUDBURST STORM IN THE ATLANTIC HIGHLANDS, NEW JERSEY." In Joint 69th Annual Southeastern / 55th Annual Northeastern GSA Section Meeting - 2020. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020se-345136.

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Abdul Ghani, S. A. A., A. Aroussi, and E. Rice. "A Closed Loop Full-Scale Automotive Climatic Wind Tunnel for Vehicle Environment Simulation." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1219.

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Abstract This paper describes the simulation of vehicle natural climatic environment in a closed loop full-scale automotive climatic wind tunnel. The tunnel simulates wind, rain, and temperature for several road conditions. It generates under controlled heat loading, wind speeds of up to 50kph with different approach boundary conditions, rainfalls from drizzle to cloudburst and road inclines up to 15° in any direction. The design and optimization process of the tunnel functions is outlined and examples of its use in vehicle development are given. The size constraint and the need for a compact design are important features of the tunnel. The tunnel provides an important test bed for close scrutiny of the relationship between rain ingress, vehicle speed, road condition, heat loading and vehicle geometry. The tunnel can also be used to study vehicle thermal management, vehicle thermal comfort, engine cold starting, and wipers efficiency in severe cold weather. Computational Fluid Dynamic (CFD) simulation is used to optimize and asses the performance of a number of key tunnel components. The resulting tunnel is approximately 9.5m in length, 9.5 m in height and 3 m in width.
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Kim, Hyunjoo, Manish Parashar, David J. Foran, and Lin Yang. "Investigating the use of autonomic cloudbursts for high-throughput medical image registration." In 2009 10th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2009. http://dx.doi.org/10.1109/grid.2009.5353065.

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Krzywicki, Kazimierz, Alexander Barkalov, Grzegorz Andrzejewski, Larysa Titarenko, and Malgorzata Kolopienczyk. "CloudBus protocol hardware multi-converter gateway for distributed embedded systems." In 2017 MIXDES - 24th International Conference "Mixed Design of Integrated Circuits and Systems". IEEE, 2017. http://dx.doi.org/10.23919/mixdes.2017.8005273.

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