Climate Change and Living with Floods: An Empirical Case from the Saghata Union of Gaibandha District, Bangladesh

Ghosh, Biddut Kumar; Sarker, Koyel Rani

doi:10.1007/978-3-030-71950-0_16

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…The majority of flood-related machine learning research either forecasts future floods or aids in developing safety measures. Floods can be devastating in some years, though, when there has been a lot of rain and water flowing upstream [26]. Kerala, an Indian state in the south, saw a once-in-a-century flood.…”

Section: Related Workmentioning

confidence: 99%

Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh

Rajab,

Farman,

Islam

et al. 2023

Water

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Forecasting rainfall is crucial to the well-being of individuals and is significant everywhere in the world. It contributes to reducing the disastrous effects of floods on agriculture, human life, and socioeconomic systems. This study discusses the challenges of effectively forecasting rainfall and floods and the necessity of combining data with flood channel mathematical modelling to forecast floodwater levels and velocities. This research focuses on leveraging historical meteorological data to find trends using machine learning and deep learning approaches to estimate rainfall. The Bangladesh Meteorological Department provided the data for the study, which also uses eight machine learning algorithms. The performance of the machine learning models is examined using evaluation measures like the R2 score, root mean squared error and validation loss. According to this research’s findings, polynomial regression, random forest regression, and long short-term memory (LSTM) had the highest performance levels. Random forest and polynomial regression have an R2 value of 0.76, while LSTM has a loss value of 0.09, respectively.

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Section: Related Workmentioning

confidence: 99%

Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh

Rajab,

Farman,

Islam

et al. 2023

Water

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“…Recent research documented that during the period of 1998 oods, mostly the women experienced different complexities regarding in accessing to basic sanitation due to submerge as most of latrines by the ood water (Rashid, 2000;World Bank, 1998). Flood is a reoccurring hazard in Bangladesh, and has dual impacts and frequently within tolerable limits (Ghosh and Sarker, 2021;Milliman et al, 1989). Most cases, the effects of oods are between moderate to large events, happening by stream ow following expected range.…”

Section: Introductionmentioning

confidence: 99%

“…Bangladesh, India, and other countries) (The Independent, 2017). The northern part of Bangladesh was extremely affected by oods in 2017 (Ghosh and Sarker, 2021;Nirapad, 2017).…”

Section: Introductionmentioning

confidence: 99%

Assessing the socio-environmental challenges by floods in 2017: a case from an Upazila of Northern Bangladesh

Ghosh

2024

Nat Hazards

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Flood in Bangladesh is a very common issue regarding crossing many rivers, and raining a lot caused by monsoon wind are subject to inundation by over ow. This paper mainly focuses on the challenges associated with 2017 ood disaster in northern Bangladesh, impacts and how affected victim Households (HHs) survive with this disaster. This study is based on mixed methods, and entirely primary data are collected from seventy-three sample survey, six Focus Group Discussion (FGD) and observation. For instance, secondary data are obtained from various authorized sources. Northern Bangladesh is more vulnerable to climatic variability, ash ood, upstream heavy rainfall, early ood during pre-monsoon period, two or three times ooding at a certain year and poverty as well. The socio-economic conditions of the 2017 ood victim HHs in northern Bangladesh are sub-standard compare to other regions of Bangladesh. In addition, the 2017 ood damaged different infrastructures, institutions, properties, crops, homestead vegetation, livestock and poultry and etc. Therefore, social and economic security, and proper guidance has to be ensured, damaged infrastructures and institutions have to be rebuilt, public awareness must be increased, regional planning and delta planning have to maintained regarding the ood management for the vulnerable groups.

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An empirical study of riverbank erosion in Charbhadrasan Upazila of Faridpur District, Bangladesh

Ghosh

2022

Urban, Planning and Transport Research

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Climate Change and Living with Floods: An Empirical Case from the Saghata Union of Gaibandha District, Bangladesh

Cited by 4 publications

References 2 publications

Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh

Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh

Assessing the socio-environmental challenges by floods in 2017: a case from an Upazila of Northern Bangladesh

An empirical study of riverbank erosion in Charbhadrasan Upazila of Faridpur District, Bangladesh

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