Relevant bibliographies by topics / Extreme floods in Bangladesh

Academic literature on the topic 'Extreme floods in Bangladesh'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Extreme floods in Bangladesh"

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Webster, Peter J., and Jun Jian. "Environmental prediction, risk assessment and extreme events: adaptation strategies for the developing world." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1956 (December 13, 2011): 4768–97. http://dx.doi.org/10.1098/rsta.2011.0160.

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The uncertainty associated with predicting extreme weather events has serious implications for the developing world, owing to the greater societal vulnerability to such events. Continual exposure to unanticipated extreme events is a contributing factor for the descent into perpetual and structural rural poverty. We provide two examples of how probabilistic environmental prediction of extreme weather events can support dynamic adaptation. In the current climate era, we describe how short-term flood forecasts have been developed and implemented in Bangladesh. Forecasts of impending floods with horizons of 10 days are used to change agricultural practices and planning, store food and household items and evacuate those in peril. For the first time in Bangladesh, floods were anticipated in 2007 and 2008, with broad actions taking place in advance of the floods, grossing agricultural and household savings measured in units of annual income. We argue that probabilistic environmental forecasts disseminated to an informed user community can reduce poverty caused by exposure to unanticipated extreme events. Second, it is also realized that not all decisions in the future can be made at the village level and that grand plans for water resource management require extensive planning and funding. Based on imperfect models and scenarios of economic and population growth, we further suggest that flood frequency and intensity will increase in the Ganges, Brahmaputra and Yangtze catchments as greenhouse-gas concentrations increase. However, irrespective of the climate-change scenario chosen, the availability of fresh water in the latter half of the twenty-first century seems to be dominated by population increases that far outweigh climate-change effects. Paradoxically, fresh water availability may become more critical if there is no climate change.
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Wahiduzzaman, Md. "Major Floods and Tropical Cyclones over Bangladesh: Clustering from ENSO Timescales." Atmosphere 12, no. 6 (May 28, 2021): 692. http://dx.doi.org/10.3390/atmos12060692.

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The present study analyzed major floods and tropical cyclones (TCs) over Bangladesh on El Niño-Southern Oscillation (ENSO) timescales. The geographical location, low and almost flat topography have introduced Bangladesh as one of the most vulnerable countries of the world. Bangladesh is highly vulnerable to the extreme hazard events like floods and cyclones which are impacted by ENSO. ENSO is mainly a tropical event, but its impact is global. El Niño (La Niña) represents the warm (cold) phase of the ENSO cycle. Rainfall and cyclonic disturbances data have been used for the period of 70 years (1948–2017) and compared with the corresponding observations of the Southern Oscillation Index. Result shows that major flood events occurred during the monsoon period, and most of them are during the La Niña condition, consistent with the historical archives of flood events in Bangladesh. Synoptic conditions of these events are well matched during La Niña condition. On the other hand, the major TC cases are in the period of either pre-monsoon or post-monsoon season. The pre-monsoon cases are under neutral (developing La Niña) or El Niño and the post-monsoon cases are under La Niña, consistent with climatology studies that La Niña is favorable to have more intense TCs over the Bay of Bengal.
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Younus, Md Aboul Fazal. "Crop adaptation processes to extreme floods in Bangladesh: a case study." Environmental Hazards 14, no. 1 (December 2014): 36–53. http://dx.doi.org/10.1080/17477891.2014.986041.

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Hassani-Mahmooei, Behrooz, and Brett W. Parris. "Climate change and internal migration patterns in Bangladesh: an agent-based model." Environment and Development Economics 17, no. 6 (July 27, 2012): 763–80. http://dx.doi.org/10.1017/s1355770x12000290.

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AbstractBangladesh is one of the countries most vulnerable to climate change impacts such as extreme weather events, due to its low-lying topography, high population density and widespread poverty. In this paper, we report on the development and results of an agent-based model of the migration dynamics that may arise in Bangladesh as a result of climate change. The main modules are each calibrated with data on relevant indicators, such as the incidences of extreme poverty, socioeconomic vulnerability, demography, and historical drought, cyclone and flood patterns. The results suggest likely changes in population densities across Bangladesh due to migration from the drought-prone western districts and areas vulnerable to cyclones and floods in the south, towards northern and eastern districts. The model predicts between 3 and 10 million internal migrants over the next 40 years, depending on the severity of the hazards. Some associated policy considerations are also discussed.
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Haq, Shah Md Atiqul. "Underlying causes and the impacts of disaster events (floods) on fertility decision in rural Bangladesh." Environmental & Socio-economic Studies 6, no. 3 (September 1, 2018): 24–35. http://dx.doi.org/10.2478/environ-2018-0020.

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AbstractThe study attempts to uncover how people living in vulnerable areas address the relationship between the impacts of extreme weather events (floods) and fertility preference. The study selected a village, Sharat Pur from Sunamganj District, which is highly vulnerable to the adverse impacts of flooding. The study gathered information from 158 respondents by using a semi-structured questionnaire and in-depth interviews. With the small sample size the study used descriptive statistics and qualitative analysis. Findings show that there is still a preference for more sons to recover the damage caused from the impacts of floods. However, people think having a large family is a burden. They emphasize controlling family size through family planning programs and do not take into account the risk of children dying affecting their desire to have additional children. Therefore they consider having more children especially sons as a gift from God and the occurrence of flood events as the wish of God. The intention of the study is not to generalize findings but to comprehend the underlying mechanism between disaster events and fertility behavior. The study collected information from a very small sample size. Future studies might consider a large sample size and explore more deeply the mechanism between the different disaster events and fertility decisions by using a comparative analysis between regions vulnerable to different extreme weather events and not vulnerable to extreme weather events within Bangladesh, and comparing Bangladesh with other South Asian countries.
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Philip, Sjoukje, Sarah Sparrow, Sarah F. Kew, Karin van der Wiel, Niko Wanders, Roop Singh, Ahmadul Hassan, et al. "Attributing the 2017 Bangladesh floods from meteorological and hydrological perspectives." Hydrology and Earth System Sciences 23, no. 3 (March 13, 2019): 1409–29. http://dx.doi.org/10.5194/hess-23-1409-2019.

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Abstract. In August 2017 Bangladesh faced one of its worst river flooding events in recent history. This paper presents, for the first time, an attribution of this precipitation-induced flooding to anthropogenic climate change from a combined meteorological and hydrological perspective. Experiments were conducted with three observational datasets and two climate models to estimate changes in the extreme 10-day precipitation event frequency over the Brahmaputra basin up to the present and, additionally, an outlook to 2 ∘C warming since pre-industrial times. The precipitation fields were then used as meteorological input for four different hydrological models to estimate the corresponding changes in river discharge, allowing for comparison between approaches and for the robustness of the attribution results to be assessed. In all three observational precipitation datasets the climate change trends for extreme precipitation similar to that observed in August 2017 are not significant, however in two out of three series, the sign of this insignificant trend is positive. One climate model ensemble shows a significant positive influence of anthropogenic climate change, whereas the other large ensemble model simulates a cancellation between the increase due to greenhouse gases (GHGs) and a decrease due to sulfate aerosols. Considering discharge rather than precipitation, the hydrological models show that attribution of the change in discharge towards higher values is somewhat less uncertain than in precipitation, but the 95 % confidence intervals still encompass no change in risk. Extending the analysis to the future, all models project an increase in probability of extreme events at 2 ∘C global heating since pre-industrial times, becoming more than 1.7 times more likely for high 10-day precipitation and being more likely by a factor of about 1.5 for discharge. Our best estimate on the trend in flooding events similar to the Brahmaputra event of August 2017 is derived by synthesizing the observational and model results: we find the change in risk to be greater than 1 and of a similar order of magnitude (between 1 and 2) for both the meteorological and hydrological approach. This study shows that, for precipitation-induced flooding events, investigating changes in precipitation is useful, either as an alternative when hydrological models are not available or as an additional measure to confirm qualitative conclusions. Besides this, it highlights the importance of using multiple models in attribution studies, particularly where the climate change signal is not strong relative to natural variability or is confounded by other factors such as aerosols.
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Alam, Md Ashraful, Craig Farnham, and Kazuo Emura. "Bayesian inference for extreme value flood frequency analysis in Bangladesh using Hamiltonian Monte Carlo techniques." MATEC Web of Conferences 276 (2019): 04006. http://dx.doi.org/10.1051/matecconf/201927604006.

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In Bangladesh, major floods are frequent due to its unique geographic location. About one-fourth to one-third of the country is inundated by overflowing rivers during the monsoon season almost every year. Calculating the risk level of river discharge is important for making plans to protect the ecosystem and increasing crop and fish production. In recent years, several Bayesian Markov chain Monte Carlo (MCMC) methods have been proposed in extreme value analysis (EVA) for assessing the flood risk in a certain location. The Hamiltonian Monte Carlo (HMC) method was employed to obtain the approximations to the posterior marginal distribution of the Generalized Extreme Value (GEV) model by using annual maximum discharges in two major river basins in Bangladesh. The discharge records of the two largest branches of the Ganges-Brahmaputra-Meghna river system in Bangladesh for the past 42 years were analysed. To estimate flood risk, a return level with 95% confidence intervals (CI) has also been calculated. Results show that, the shape parameter of each station was greater than zero, which shows that heavy-tailed Frechet cases. One station, Bahadurabad, at Brahmaputra river basin estimated 141,387 m3s-1 with a 95% CI range of [112,636, 170,138] for 100-year return level and the 1000-year return level was 195,018 m3s-1 with a 95% CI of [122493, 267544]. The other station, Hardinge Bridge, at Ganges basin estimated 124,134 m3 s-1 with a 95% CI of [108,726, 139,543] for 100-year return level and the 1000-year return level was 170,537 m3s-1 with a 95% CI of [133,784, 207,289]. As Bangladesh is a flood prone country, the approach of Bayesian with HMC in EVA can help policy-makers to plan initiatives that could result in preventing damage to both lives and assets.
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Das, Partho, and Rezaur Rahman. "Management of Unanticipated Extreme Flood." International Journal of Disaster Response and Emergency Management 1, no. 1 (January 2018): 22–37. http://dx.doi.org/10.4018/ijdrem.2018010102.

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South Asian countries (Nepal, India, and Bangladesh) experienced extreme flooding in August 2017 which is one of the deadliest in the recent few decades. Being the downstream country of this Himalayan region Bangladesh experienced immense flooding both in its flood prone and less flood prone areas. Northwest Bangladesh district Dinajpur is known for its high topography where flooding is not a common phenomenon. Due to this reason flood control and flood management practices by concerned agencies are very rare in this region. Such negligence in river and floodplain management turned this region a vulnerable one due to flood. The unexpected August 2017 flood in Dinajpur bears an example that this region is no longer flood free. This study aims to study the insights of this August 2017 flood event bi investigating causes, flood time and after flood recovery, existing management practices and damage information etc. Based on those primary and secondary assessment, future directions for flood management in this region has been proposed.
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Younus, Md Aboul Fazal, and Nick Harvey. "Economic consequences of failed autonomous adaptation to extreme floods: A case study from Bangladesh." Local Economy: The Journal of the Local Economy Policy Unit 29, no. 1-2 (December 18, 2013): 22–37. http://dx.doi.org/10.1177/0269094213515175.

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Ahmed, Farhana, Berry Gersonius, William Veerbeek, M. Shah Alam Khan, and Philippus Wester. "The role of extreme events in reaching adaptation tipping points: a case study of flood risk management in Dhaka, Bangladesh." Journal of Water and Climate Change 6, no. 4 (November 15, 2014): 729–42. http://dx.doi.org/10.2166/wcc.2014.102.

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Adaptation tipping points (ATPs) refer to the situation where a policy or management strategy is no longer sufficient, and adjustments or alternative policies/strategies have to be considered. In developed countries, the main focus of research has been on characterising the occurrence of ATPs in the face of slow variables like climate change. In developing countries, the system characteristics that lead to ATPs are more uncertain and typically comprise a combination of drivers. It is well recognised that policies and management strategies have often shifted in the wake of extreme events like floods. By focusing on flood risk management (FRM), this paper explores the role of sudden or extreme events and other drivers that trigger ATPs. It analyses the historical flooding pattern of Dhaka and policies relevant to FRM, and determines the tipping points for policy-making. A timeline has been established between the flood events, co-drivers, policy interventions and institutional reforms over the last 50 years. ATPs in a developing country context have been found to result from hydrological factors and uncontrolled urban growth as well as foreign intervention, non-implementation or untimely implementation of planned measures and fund constraints.
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Dissertations / Theses on the topic "Extreme floods in Bangladesh"

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Hofer, Thomas. "Floods in Bangladesh : a highland-lowland interactions ? /." Berne : University of Berne Institute of Geography, 1998. http://www.ub.unibe.ch/content/bibliotheken_sammlungen/sondersammlungen/dissen_bestellformular/index_ger.html.

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Melone, Anthony Michael. "Extreme floods in the Pacific coastal region." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/27143.

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The research program developed hydrograph procedures for estimation of extreme rain-on-snow floods on ungauged watersheds in the Pacific coastal region. A multi-disciplinary investigation was undertaken encompassing the areas of hydrometeorology, snow hydrology and hydrologic modelling. Study components include assessment of flood producing mechanisms in the coastal region; analysis of regional rainfall characteristics for input to a hydrograph model; examination of the role of a snowpack during extreme events; and application of a hydrograph model. Based on an assessment of atmospheric processes which affect climate, examination of historical flood data, and analysis of flood frequency, it is shown that the area bounded by the crests of the coastal mountains forms a hydrologic region with similar flood characteristics. Extreme floods in the coastal region are rainfall-induced, either as runoff from rainfall-only or as a combination of rain and snowmelt. Recorded storm rainfall along the coast was examined to determine whether regional characteristics could be identified from available data even though the magnitude of rainfall varies between stations. Multi-storm intensity data available from Atmospheric Environment Service and rainfall intensities occurring within single storms that were identified as part of this study were analyzed. Results show that ratios of shorter duration intensities to the 24-hour rainfall are in a relatively narrow range in the coastal region for both multi and single storm intenstity data, and this range set limits on the hourly intensities that need to be considered as input rainfall data to a hydrograph model. With regard to basin response to extreme rain-on-snow, available literature suggests that for a ripe snowpack, development of an internal drainage network within the snowpack is the dominant routing mechanism for liquid water. Consequences of this conclusion on hydrograph procedures are that a watershed undergoes a transition from snow-controlled to more terrain-controlled water movement and basin storage characteristics approach conditions which would occur on the same basin without a snowcover. Lag and route hydrograph techniques were investigated to assess whether this method can be applied to rain-on-snow floods. Results from analysis of two rain-on-snow floods suggest this procedure can be applied when the following methodology is adopted: 1) estimate travel time through the basin from channelized and overland flow considerations; 2) select a storage coefficient which simulates basin response; 3) take water inputs as the sum of snowmelt and rainfall; and 4) consider there are no losses to groundwater. The combination of results from each study component provides a methodology for estimating input rainfall data and for undertaking hydrograph analysis for extreme rain-on-snow floods in the mountainous Pacific coastal region.
Applied Science, Faculty of
Civil Engineering, Department of
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Khondaker, Mohammad S. "Perception of and response to floods in Bangladesh." Thesis, University of Manchester, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277489.

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Cook, Brian Robert. "Knowledges, controversies and floods : national-scale flood management in Bangladesh." Thesis, Durham University, 2010. http://etheses.dur.ac.uk/371/.

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This research explores the views, beliefs and knowledges of experts responsible for flood management in Bangladesh. As one of the most disaster-prone nations on Earth, and in response to the neglect of power-holding experts within the existing literature, this project analyses the differences between academic accounts of flooding, labelled the ‘prevailing understanding’, and the local expertise of those responsible for management. Relative to the entrenched narrative, local experts are surveyed and an alternate interpretation is constructed using their knowledge. This combination of textual and perception-based analyses accounts for the complex interrelations between competing forms of knowing. It is on this juxtaposition that the research contributes to new knowledge. The thesis is based on research conducted in Bangladesh between November 2007 and March 2008. To accomplish its objectives, using prominent debates as entry points, academic and government sources are used to account for the lineage of the prevailing understanding. On the basis of this narrative, qualitative interviews with 54 experts explore the construction of flood management knowledge and its relationship with decision making. The experts describe and justify understandings of flood management that are contextual, adaptive and indefinite, challenging many of the assumptions associated with the prevailing understanding. The findings inform several findings: that individuals close to the poverty line are uniquely vulnerable; that disasters merge with management to produce second-generation events; and that a hybrid socio-physical context is both a product and a producer of flood management knowledge. Overall, despite the already complex issue of flooding, managers in Bangladesh consider increasingly issues as diverse as poverty, environmental sustainability and economic and human development. Given the scope of the controversy surrounding flood management, the findings show how analyses of competing knowledges, assumptions and framings can aid the interrogation of prevailing knowledge to generate original findings
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Stolle, Jacob. "Debris Hazard Assessment in Extreme Flooding Events." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39621.

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Coastal areas are often important to economic, social, and environmental processes throughout the world. With changing climate and growing populations in these areas, coastal communities have become increasingly vulnerable to extreme flooding events, such as tsunami, storm surges, and flash floods. Within this new paradigm, there has been an effort to improve upon current methods of hazard assessment, particularly for tsunami. Recently, the American Society of Civil Engineers (ASCE) released the ASCE 7 Chapter 6 which was the world’s first standard, written in mandatory language, that addressed tsunami resilient design in a probabilistic manner for several of its prescriptions. While often the focus tends to be on mapping the hazards related to hydraulic loading conditions, post-tsunami field surveys from disaster-stricken coastal communities have also shown the importance of also considering the loads exerted by solid objects entrained within the inundating flows, commonly referred to as debris loading. Limited research has addressed debris hazard assessment in a comprehensive manner. Debris loading can be generally divided into two categories: impact and damming. Debris impact loads are caused by the rapid strike of solid objects against a structure. Debris damming loads are the result of the accumulation of debris at the face of or around a structure, causing thus an obstruction to the flow. The primary difference between these loads is the time period over which they act. The rapid loading due to debris impacts requires structural properties be considered in assessing the associated loads whereas debris damming loads are generally considered in a quasi-static manner. In assessing the hazard associated with both impact and damming loading conditions, methodologies must be developed to consider the likelihood of the load occurring and the magnitude of that load. The primary objective of this thesis was to develop a probabilistic framework for assessing debris hazards in extreme coastal flooding events. To achieve this objective, the components of the framework were split into three general categories: debris transport, debris damming, and debris impact. Several physical experimental studies were performed to address each of these components, representing the most comprehensive assessment of debris hazards in extreme flooding events to date. Debris transport was addressed to estimate the likelihood of debris loading occurring on a structure. The studies presented herein examine the different parameters that must be considered in assessing the motion of debris with the flow. The studies showed that the initial configuration of the debris and hydrodynamic conditions were critical in determining the motion of the debris. The stochastic properties of the debris motion were also assessed. It was shown that the lateral displacement of the debris could be approximated by a Gaussian distribution and the debris velocity by a Kumaraswamy (1980) distribution. The study of debris impact was further used to develop the current models used in estimating the impact force. The rigid body impact model was compared to models where the structural response was considered. The analysis showed that the effective stiffness model proposed by Haehnel and Daly (2004) was best suited to provide a conservative estimation of the impact force. Additionally, the impact geometry was taken into consideration examining the influence of various parameters on the impact force. Furthermore, debris damming was examined for the first time in transient loading conditions. This particular study examined the influence of the transient wave condition on the debris dam formation as well as the influence of different debris geometries. The influence of the debris dam geometry was correlated to increases in loading and overtopping conditions at structures. The assessment of debris hazards is critical in the development of accurate design conditions. The probabilistic framework presented within this thesis is expected to provide a basis for estimating debris hazards and inform future studies in the development of hazard assessment models.
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Jahan, Shafkat. "Assessment of flood-related mental illness in Bangladesh." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/86511/8/Shafkat_Jahan_Thesis.pdf.

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This thesis assessed the mental health impacts of flooding and explored the key determinants of flood-related mental illness in the coastal region of Bangladesh. This study found significant increase in the prevalence of mental illness after flooding. Flood-exposure and socio-economic factors were significantly associated with post-flood mental illness. These findings may help the policy-makers to improve the early intervention and screening programs and may also have significant public health implications in the control and prevention of flood-related mental illness in Bangladesh.
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Eljabri, Sumaya Saleh M. "New statistical models for extreme values." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/new-statistical-models-for-extreme-values(12e1ec08-dc66-4f20-a7dc-c89be62421a0).html.

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Extreme value theory (EVT) has wide applicability in several areas like hydrology, engineering, science and finance. Across the world, we can see the disruptive effects of flooding, due to heavy rains or storms. Many countries in the world are suffering from natural disasters like heavy rains, storms, floods, and also higher temperatures leading to desertification. One of the best known extraordinary natural disasters is the 1931 Huang He flood, which led to around 4 millions deaths in China; these were a series of floods between Jul and Nov in 1931 in the Huang He river.Several publications are focused on how to find the best model for these events, and to predict the behaviour of these events. Normal, log-normal, Gumbel, Weibull, Pearson type, 4-parameter Kappa, Wakeby and GEV distributions are presented as statistical models for extreme events. However, GEV and GP distributions seem to be the most widely used models for extreme events. In spite of that, these models have been misused as models for extreme values in many areas.The aim of this dissertation is to create new modifications of univariate extreme value models.The modifications developed in this dissertation are divided into two parts: in the first part, we make generalisations of GEV and GP, referred to as the Kumaraswamy GEV and Kumaraswamy GP distributions. The major benefit of these models is their ability to fit the skewed data better than other models. The other idea in this study comes from Chen, which is presented in Proceedings of the International Conference on Computational Intelligence and Software Engineering, pp. 1-4. However, the cumulative and probability density functions for this distribution do not appear to be valid functions. The correction of this model is presented in chapter 6.The major problem in extreme event models is the ability of the model to fit tails of data. In chapter 7, the idea of the Chen model with the correction is combined with the GEV distribution to introduce a new model for extreme values referred to as new extreme value (NEV) distribution. It seems to be more flexible than the GEV distribution.
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Suyanto, Adhi. "Estimating the exceedance probabilities of extreme floods using stochastic storm transportation and rainfall - runoff modelling." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386794.

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Methods of estimating floods with return periods of up to one hundred years are reasonably well established, and in the main rely on extrapolation of historical flood data at the site of interest. However, extrapolating the tails of fitted probability distributions to higher return periods is very unreliable and cannot provide a satisfactory basis for extreme flood estimation. The probable maximum flood concept is an alternative approach, which is often used for critical cases such as the location of nuclear power plants, and is viewed as a consequence of a combination of a probable maximum precipitation with the worst possible prevailing catchment conditions. Return periods are not usually quoted although they are implicitly thought to be of the order of tens of thousand of years. There are many less critical situations which still justify greater flood protection than would be provided for an estimated one-hundred year flood. There is therefore a need for techniques which can be used to estimate floods with return periods of up to several thousand years. The predictive approach adopted here involves a combination of a probabilistic storm transposition technique with a physically-based distributed rainfall-runoff model. Extreme historical storms within a meteorologically homogeneous region are, conceptually, moved to the catchment of interest, and their return periods are estimated within a probabilistic framework. Known features of storms such as depth, duration, and perhaps approximate shape will, together with catchment characteristics, determine much of the runoff response. But there are other variables which also have an effect and these include the space-time distribution of rainfall within the storm, storm velocity and antecedent catchment conditions. The effects of all these variables on catchment response are explored.
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Islam, Md Faridul. "An investigation into the relationship between tourism development and extreme poverty alleviation in rural Bangladesh." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/70465.

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This thesis contributes to the understanding of the relationship between tourism development and extreme poverty alleviation in rural Bangladesh. It adopts a critical theory approach to investigate the social, economic, physical, cultural and political barriers that exclude rural poor and indigenous communities from tourism development benefits. An integrated model proposes that these communities can be included in tourism development through gaining power, legitimacy and urgency as definitive stakeholders, thereby alleviating extreme poverty in developing countries.
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Kamwi, Innocent Silibelo. "Fitting extreme value distributions to the Zambezi river flood water levels recorded at Katima Mulilo in Namibia." Thesis, University of the Western Cape, 2005. http://etd.uwc.ac.za/index.php?module=etd&amp.

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The aim of this research project was to estimate parameters for the distribution of annual maximum flood levels for the Zambezi River at Katima Mulilo. The estimation of parameters was done by using the maximum likelihood method. The study aimed to explore data of the Zambezi's annual maximum flood heights at Katima Mulilo by means of fitting the Gumbel, Weibull and the generalized extreme value distributions and evaluated their goodness of fit.
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Books on the topic "Extreme floods in Bangladesh"

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Can Bangladesh be protected from floods? Dhaka: University Press, 2004.

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Höfer, Thomas. Floods in Bangladesh: A highland-lowland interaction? Berne: Institute of Geography, University of Berne, 1998.

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Hossain, Mosharaff. Floods in Bangladesh: Recurrent disasters and people's survival. Dhaka, Bangladesh: Universities Research Centre, 1987.

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Teegavarapu, Ramesh S. V. Floods in a changing climate: Extreme precipitation. Cambridge: Cambridge University Press, 2012.

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Miah, M. Maniruzzaman. Flood in Bangladesh: A hydromorphological study of the 1987 flood. Dhaka: Academic Publishers, 1988.

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Brammer, H. Agricultural disaster management in Bangladesh. Dhaka: The University Press Ltd., 1999.

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Clumsy floodplains: Responsive land policy for extreme floods. Farnham, Surrey, England: Ashgate, 2011.

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Hartmann, Thomas. Clumsy floodplains: Responsive land policy for extreme floods. Farnham, Surrey, England: Ashgate, 2011.

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Extreme floods: A history in a changing climate. Stroud: Sutton, 2006.

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Kafiluddin, A. K. M. Disaster preparedness for Bangladesh floods and other natural calamities. Dhaka, Bangladesh: Md. Salauddin, 1991.

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Book chapters on the topic "Extreme floods in Bangladesh"

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Mirza, M. Monirul Qader. "Three Recent Extreme Floods in Bangladesh: A Hydro-Meteorological Analysis." In Flood Problem and Management in South Asia, 35–64. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0137-2_2.

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Uddin, Tanvir Ahmed. "Which Household Characteristics Help Mitigate the Effects of Extreme Weather Events? Evidence from the 1998 Floods in Bangladesh." In Disentangling Migration and Climate Change, 101–41. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6208-4_5.

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Yamano, Takashi. "Diffusion of Submergence-Tolerant Rice in South Asia." In Emerging-Economy State and International Policy Studies, 49–62. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5542-6_4.

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AbstractClimate change is expected to increase the incidence and magnitudes of extreme weather events. To help farmers mitigate the expected impacts of extreme weather events, abiotic stress-tolerant crop varieties have been developed. The diffusions of the stress-tolerant crop varieties, however, have been limited. This chapter reviews recent studies on the adoption and impacts of the submergence-tolerant rice varieties in South Asia. Studies have identified significant benefits of those rice varieties in South Asia using various survey and analytical methods. However, farmers have problems identifying submergence-tolerant rice varieties in informal seed markets. Using DNA fingerprinting, a study found that many farmers in Bangladesh could not identify varietal names correctly. Effective public interventions are needed to help farmers in flood-prone areas adopt submergence-tolerant rice varieties.
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Ashkar, Fahim. "Extreme Floods." In Hydrology of Disasters, 63–83. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8680-1_4.

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Schellenberger, Thomas. "European Actors Facing Floods Risks." In Facing Hydrometeorological Extreme Events, 27–40. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119383567.ch3.

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Maleki, Mousa, and Saeid Eslamian. "History of World Extreme Floods." In Flood Handbook, 239–60. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003262640-14.

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Mason, John, Paul R. Brown, Jonathan D. C. Webb, and Robert K. Doe. "Extreme Rainfall and Flash Floods in the United Kingdom and Ireland." In Extreme Weather, 261–82. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118949986.ch14.

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Younus, Md Aboul Fazal. "Crop Adjustment Processes to Extreme Floods." In Springer Theses, 117–28. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-5494-2_5.

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Romanescu, Gheorghe. "Floods in the Siret and Pruth Basins." In Geomorphological impacts of extreme weather, 99–120. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6301-2_7.

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Komac, Blaž, and Matija Zorn. "Extreme Floods in Slovenia in September 2010." In Geomorphological impacts of extreme weather, 121–39. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6301-2_8.

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Conference papers on the topic "Extreme floods in Bangladesh"

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Done, James M., Danielle Touma, Erin Towler, Ming Ge, Daniel L. Swain, and Mari R. Tye. "Understanding the Drivers, Impacts, and Predictability of Connected Floods and Droughts." In Geo-Extreme 2021. Reston, VA: American Society of Civil Engineers, 2021. http://dx.doi.org/10.1061/9780784483695.009.

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O'Donnell, G., J. Ewen, J. Geris, and P. E. O'Connell. "Rural land use management effects in extreme floods." In BHS 3rd International Conference. British Hydrological Society, 2010. http://dx.doi.org/10.7558/bhs.2010.ic81.

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England, Jr., John F., Pierre Y. Julien, Mark L. Velleux, and James A. Smith. "Distributed Modeling of Extreme Floods on Large Watersheds." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)470.

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CLARK, ROBERT A. "FLOODS AND EXTREME WEATHER EVENTS PERMANENT MONITORING PANEL." In International Seminar on Nuclear War and Planetary Emergencies 36th Session. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812709233_0047.

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Sengupta, Soumyadeep, and Sreevalsa Kolathayar. "Deterministic Seismic Hazard Analysis of Chittagong City and District, Bangladesh." In Geo-Extreme 2021. Reston, VA: American Society of Civil Engineers, 2021. http://dx.doi.org/10.1061/9780784483695.033.

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Suo Xiuyun. "Extreme value modeling of hydrological floods: A case study." In 2011 3rd International Conference on Computer Research and Development (ICCRD). IEEE, 2011. http://dx.doi.org/10.1109/iccrd.2011.5763926.

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Receanu, Ramona. "ESTIMATION�OF�EXTREME�FLOODS�WITH�A�NEW�DISTRIBUTED�HYDROLOGICAL�MODEL." In SGEM2012 12th International Multidisciplinary Scientific GeoConference and EXPO. Stef92 Technology, 2012. http://dx.doi.org/10.5593/sgem2012/s13.v3017.

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Hallermeier, Robert J. "Two Treatments of Shore Erosion in Extreme Floods on U.S. Great Lakes." In 25th International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1997. http://dx.doi.org/10.1061/9780784402429.209.

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Klügel, J. U. "Developing a robust design basis for critical infrastructures against extreme external floods." In URBAN WATER 2016. Southampton UK: WIT Press, 2016. http://dx.doi.org/10.2495/uw160281.

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Chilikova-Lubomirova, Mila. "EXTREME FLOODS AND NATURE BASED RETENTION MEASURES. CONSIDERATIONS BASED ON BULGARIAN CASE STUDY." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/5.1/s20.035.

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Reports on the topic "Extreme floods in Bangladesh"

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Pickard, Justin, Shilpi Srivastava, Mihir R. Bhatt, and Lyla Mehta. SSHAP In-Focus: COVID-19, Uncertainty, Vulnerability and Recovery in India. Institute of Development Studies (IDS), November 2020. http://dx.doi.org/10.19088/sshap.2021.011.

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This paper addresses COVID-19 in India, looking at how the interplay of inequality, vulnerability, and the pandemic has compounded uncertainties for poor and marginalised groups, leading to insecurity, stigma and a severe loss of livelihoods. A strict government lockdown destroyed the incomes of farmers and urban informal workers and triggered an exodus of migrant workers from Indian cities, a mass movement which placed additional pressures on the country's rural communities. Elsewhere in the country, lockdown restrictions and pandemic response have coincided with heatwaves, floods and cyclones, impeding disaster response and relief. At the same time, the pandemic has been politicised to target minority groups (such as Muslims, Dalits), suppress dissent, and undermine constitutional values. The paper focuses on how COVID-19 has intersected with and multiplied existing uncertainties faced by different vulnerable groups and communities in India who have remained largely invisible in India's development story. With the biggest challenge for government now being to mitigate the further fall of millions of people into extreme poverty, the brief also reflects on pathways for recovery and transformation, including opportunities for rural revival, inclusive welfare, and community response. This brief is based on a review of existing published and grey literature, and 23 interviews with experts and practitioners from 12 states in India, including representation from domestic and international NGOs, and local civil society organisations. It was developed for the Social Science in Humanitarian Action Platform (SSHAP) by Justin Pickard, Shilpi Srivastava, Lyla Mehta (IDS), and Mihir R. Bhatt. Some of the cases draw on ongoing research of the TAPESTRY project, which explores bottom-up transformations in marginal environments across India and Bangladesh.
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Few, Roger, Mythili Madhavan, Narayanan N.C., Kaniska Singh, Hazel Marsh, Nihal Ranjit, and Chandni Singh. Voices After Disaster. Indian Institute for Human Settlements, 2021. http://dx.doi.org/10.24943/vad09.2021.

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This document is an output from the “Voices After Disaster: narratives and representation following the Kerala floods of August 2018” project supported by the University of East Anglia (UEA)’s GCRF QR funds. The project is carried out by researchers at UEA, the Indian Institute for Human Settlements (IIHS), the Indian Institute of Technology (IIT), Bombay, and Canalpy, Kerala. In this briefing, we provide an overview of some of the emerging narratives of recovery in Kerala and discuss their significance for post-disaster recovery policy and practice. A key part of the work was a review of reported recovery activities by government and NGOs, as well as accounts and reports of the disaster and subsequent activities in the media and other information sources. This was complemented by fieldwork on the ground in two districts, in which the teams conducted a total of 105 interviews and group discussions with a range of community members and other local stakeholders. We worked in Alleppey district, in the low-lying Kuttanad region, where extreme accumulation of floodwaters had been far in excess of the normal seasonal levels, and in Wayanad district, in the Western Ghats, where there had been a concentration of severe flash floods and landslides.
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Tackling Extreme Poverty Through Psychological Support in Bangladesh. Institute of Development Studies and The Impact Initiative, December 2018. http://dx.doi.org/10.35648/20.500.12413/11781/ii324.

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Inclusive Community Energy Resilience in Bangladesh. Asian Development Bank, February 2022. http://dx.doi.org/10.22617/wps210522-2.

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The paper also establishes a methodology for measuring and comparing community and energy system resilience to extreme weather events and clarifies how the proposed project design framework can be piloted in the country.
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Social Impact Monitoring and Vulnerability Assessment (SIMVA) 2014. Vientiane, Lao PDR: Mekong River Commission Secretariat, October 2018. http://dx.doi.org/10.52107/mrc.ajg6hg.

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The SIMVA report is the largest socio-economic survey and study conducted along the Mekong mainstream and floodplain areas to understand the occurrence and impacts from floods, droughts and extreme weather, and identification of longer-term trends at community level.
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