Predicting spatiotemporal changes of channel morphology in the reach of Teesta River, Bangladesh using GIS and ARIMA modeling

Akhter, Shumona; Eibek, Kutub Uddin; Islam, Shakibul; Islam, Abu Reza Md. Towfiqul; Chu, Ronghao; Shen, Shuanghe

doi:10.1016/j.quaint.2019.01.022

Cited by 79 publications

(30 citation statements)

References 47 publications

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“…This area is one of the agricultural crop production hubs in Bangladesh. This region is characterized by a sub-tropical monsoonal climate with a mean temperature range from 17-20 • C in the winter and 26.9 to 31.1 • C in the summer season [42], 1100-1329 mm of annual rainfall, 600-800 mm of evapotranspiration, and 60-80% of relative humidity [43]. With irregular patterns of rainfall distribution, rainfall occurs mainly in the monsoon summer season (July to October), which enhances the intensity and frequency of rainstorms and the probability of soil erosion [42].…”

Section: Study Area Descriptionmentioning

confidence: 99%

Assessing Farmers’ Typologies of Perception for Adopting Sustainable Adaptation Strategies in Bangladesh

Islam

Hasanuzzaman

Jaman

et al. 2021

Climate

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The implementation of sustainable adaptation strategies (SASs) is crucial to mitigate climate change impact as well as reduce the loss of natural disasters and increase agricultural crop production. However, current policies and programs based on agricultural incentives are mostly inadequate to increase SASs practices at the farm level. Hence, a deeper understanding of farmers’ ‘perceived typologies to the environmental issue and climate change’ is necessary for implementing SASs to enhance farmers’ ability to adapt at the farm level. This research intends to demarcate farmers in various categories, according to their perceptions on environmental and climate change issues in the northern part of Bangladesh. Principal component analysis (PCA) and cluster analysis (CA) were employed to analyze the survey data collected from 501 households in the study area. Farmers were clustered into three types, ‘Ecocentric’, ‘Worried’, and ‘Anthropocentric’, based on their perceived knowledge regarding environmental issues and climate change, which guides the adoption of SASs. The ‘Worried’ cluster showed a high sense of perceived risk of climate change and a significant positive association with the adoption of SASs. By contrast, ‘Ecocentric’ and ‘Anthropocentric’ groups showed a low sense of awareness of climate change and a significant negative association with the adoption of SASs. The findings can assist policymakers in promoting the adoption of SASs based on the farmers’ cluster and thus enhance their resilience.

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Section: Study Area Descriptionmentioning

confidence: 99%

Assessing Farmers’ Typologies of Perception for Adopting Sustainable Adaptation Strategies in Bangladesh

Islam

Hasanuzzaman

Jaman

et al. 2021

Climate

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“…RS, GIS techniques, and satellite image analysis were implemented in the assessment of bank erosion, channel shifting of the Padma river (Ophra et al, 2018;Billah, 2018). These advanced tools have also been utilized in the analysis of bank erosion-sedimentation of other rivers such as Dharla, Jamuna, and Teesta in Bangladesh (Bose & Navera, 2018;Ety & Rashid, 2019;Akhter et al, 2019;Islam et al, 2019). Sediment concentrations and depth were studied in previous studies to investigate the sediment deposition behavior of rivers in India and Vietnam (Kanga et al, 2020;Nardin et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Impacts of Dredging on Fluvial Geomorphology in the Jamuna River, Bangladesh

Rahman¹,

Hasan²,

Eusufzai³

et al. 2021

GEP

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Jamuna, a major braided river in Bangladesh, has an enormous hydrological impact on the surrounding areas and streams. Erosion and sedimentation in the Jamuna river cause a large flow fluctuation and floods round the year. Bangladesh Water Development Board has initiated a pilot capital dredging project in the Jamuna river in 2011-2012, aiming to guide the flow to reduce the risk of failure of the city area and right guide bundh of the Jamuna Bridge. This study explores the long-term role of dredging on river morphology using erosion-sedimentation numerical modeling approaches. Primary data were employed in numerical models to estimate the erosion-sedimentation and compared outputs with the real-time cross-sectional variation at selected sections along the reach during 2012-2013. The analysis suggested that the rate of sedimentation is higher (60% to 80%), where the dredging alignment crosses through the existing sandbar/char. Moreover, a cross-section comparison revealed that the channel near Sirajganj Hardpoint shifted towards the left (east) bank, and the channel within the study area developed very fast along the right (west) bank. However, satellite image analysis revealed that the major bankline shifting occurred from 2000 to 2010 and the channel shifting was observed from 2014 to 2018 along the reach, mostly, after the construction of some river training works. The variation of the channel persistence (40% -100%) selected part of the study area in the channel incidence map, indicating the rapid dynamic behavior of the river morphology. This study showed a promise that numerical approaches can predict the long-term hydrodynamic behavior of a braided river.

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“…Many works have been carried out to determine the morphometric parameters for different reaches in the whole course of river Ganga and other rivers (Yeasmin & Islam 2011;Pan 2013;Dhari et al 2014;Kumar et al 2016;Alber & Piegay 2017;Debnath et al 2017;Das & Pardeshi 2018;Singh et al 2019;Ashwini et al 2020;Li et al 2020). The ARIMA model has also been used in some of the studies for the prediction of centerline channel migration (Akhter et al 2019;Annayat & Sil 2020a, 2020bPareta & Goswami 2021).…”

Section: Introductionmentioning

confidence: 99%

Channel morphology and prediction of mid-line channel migration in the reach of Ganga River using GIS and ARIMA modeling during 1975–2020

2021

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The dynamic nature of meandering poses several challenges in a river. The river Ganga shows severe bank erosion in many of its stretches which creates insecurity to the habitats. In the present study, channel morphology and lateral mid-line migration for 1975 to 2020 in 5 years intervals have been studied. The prediction of lateral mid-line migration from 2020 to 2050 by using multi-temporal Landsat satellite images was made by using the ARIMA model. The river reach was divided into 8 bends and 48 cross-sections were identified. The channel length was observed as 224.35 km in 1975 which reduces to 199.96 km in 2020. A decreasing trend was observed for the mean of channel length and meander ratio, and an increasing trend was noted in the mean of sinuosity ratio and tortuosity ratio. A total of 11 cross-sections showed the rightward shifting and 36 cross-sections showed the leftward shifting. Observed and predicted values showed a good R2 value of 0.90 and 0.89 at CS-24 and CS-25, respectively. The results may be used for planning and management of various river training work and understanding the river system dynamics.

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Predicting spatiotemporal changes of channel morphology in the reach of Teesta River, Bangladesh using GIS and ARIMA modeling

Cited by 79 publications

References 47 publications

Assessing Farmers’ Typologies of Perception for Adopting Sustainable Adaptation Strategies in Bangladesh

Assessing Farmers’ Typologies of Perception for Adopting Sustainable Adaptation Strategies in Bangladesh

Impacts of Dredging on Fluvial Geomorphology in the Jamuna River, Bangladesh

Channel morphology and prediction of mid-line channel migration in the reach of Ganga River using GIS and ARIMA modeling during 1975–2020

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