Remote sensing based innovative solution of river morphology for better flood management

Chohan, Khurram; Ahmad, Sajid Rashid; Ashraf, Ather; Kamran, Muhammad; Rasheed, Rizwan

doi:10.1016/j.jag.2022.102845

Cited by 8 publications

(4 citation statements)

References 33 publications

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“…[3] Satellite imagery has been effectively utilized to monitor river processes worldwide in various research projects (Chohan et al, 2015). [4] For monitoring river channel oscillations, remote sensing and GIS are highly efficient and cost-effective, unlike traditional geomorphological investigations, as they provide data integration and a comprehensive overview of the entire coverage area (Langat et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Morphological Study of The Liliba River Utilizing Remote Sensing System

Anmuni,

Loden,

Rafael

2024

Compiler

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The branch of natural sciences called river morphology focuses on the study of the characteristics and dynamics of rivers, including their structure, classification, and changes on spatial and temporal scales. Two main factors influence river configurations. The first is natural factors, such as floods and landslides, and the second is human factors, such as human activities that alter river morphology. Cyclone Seroja caused landslides on the banks of the Liliba River in Kupang, East Nusa Tenggara in April 2022. This mainly occurred at Naimata Bridge in Liliba Village, Oebobo District. River geometry, especially the channel and bed elevation, can be significantly influenced by landslides occurring on the riverbanks. Therefore, a study of the morphology of the Liliba River was conducted using remote sensing systems. To conduct a detailed analysis, this study incorporated these photos. In this review, changes in the river channel were examined by extracting the river's course from Landsat image data. From 2009 to 2022, the Liliba River experienced an average shift of 1.60 meters westward and eastward. The research results indicate the need for reforestation along the riverbanks, and residents should be encouraged to reduce the disposal of plastic waste into the river. Future research should also further investigate the geological characteristics of the Liliba River, such as rock types, and conduct hydrological analyses to comprehensively understand the factors influencing changes in the riverbed.

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Section: Introductionmentioning

confidence: 99%

Morphological Study of The Liliba River Utilizing Remote Sensing System

Anmuni,

Loden,

Rafael

2024

Compiler

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“…GIS and RS techniques offer robust flood disaster forecasting and occurrence prediction tools. It has a powerful and reliable tool that provides valuable guidance during discussions aimed at solving flood disasters [12]. Actions geared towards ameliorating flood disasters might only be successful with a proper flood vulnerability map.…”

Section: Introductionmentioning

confidence: 99%

GIS-assisted Flood-risk Potential Mapping of Ilorin and its Environs, Kwara State, Nigeria

Alimi,

Oriola,

Senbore

et al. 2023

Remote Sens Earth Syst Sci

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The incessant reoccurrence of flooding disasters across Nigeria has mandated an urgent outlook on flood-risk management techniques. Ilorin and its environs have suffered immensely from annual flood reoccurrence. This study aims to assess flood risk within Ilorin and its environs and proffer adequate flood mitigation strategies that governments and policymakers can adopt to placate future flooding events within the state. Satellite imagery data were acquired and analyzed for flood-risk assessment of the area. Ten highly influential flood causative factors were synergized using Multi-Criteria Decision-Making techniques in this research; they are Land Surface Temperature, Elevation, Soil Moisture Index, and Distance to Stream, Drainage Density, Stream Power Index, Normalized Difference Vegetation Index, Land Use Land Cover, Slope, and Topographic Wetness Index. Findings showed that approximately 47.2% of the study area had low flood risk, while moderate and high flood-risk zones occupied 33.5% and 19.29%, respectively. Most parts of Ilorin and its environs are safe from flood disasters; only about one-quarter of the total area under investigation lies in the high flood-risk zones; these areas mostly fall within the shores of major streams, rivers, and dams within the state. A plot of previous flood cases in the state placed the affected areas in the high and moderate zones of flood risk, confirming the efficacy of geospatial techniques in flood-risk assessment. It is hoped that this study's findings and recommendations can be implemented to prevent future devastating flooding occurrences within the state.

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“…Floods in the Chenab River bring sand and silt deposits. The sediment supply increases as the flow increases during the monsoon season, as the sediment rate is directly proportional to the flood discharge [42]. The Chenab River Basin is a unique and complex river basin that encounters extreme hydrological conditions and complicated features of its mountains in the basin [43].…”

Section: Introductionmentioning

confidence: 99%

Assessment of River Regime of Chenab River in Post-Chiniot Dam Project Scenario

AbdulJaleel,

Munawar,

Sarwar

et al. 2023

Water

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Dams and reservoirs trap most sediments, and clear water can cause downstream riverbed degradation or aggradation. As a result, the river adjusts its dynamics and channel geometry to regain equilibrium between sediment supply and transport capacity. This study aimed to assess the river regime of the Chenab River in the post-Chiniot Dam Project scenario using a one-dimensional numerical model. After calibration and validation using historic flows and river surveys, simulations were carried out for 5, 10, and 30 years. The sediment model was validated with Brune’s curve, which showed a Nash–Sutcliffe efficiency value of 0.734. The results showed that the river experienced continuous degradation of sediments for the first 16 years and showed a maximum erosion of 8 m at 680 m downstream of the dam. The reach experienced aggradation at 15 km downstream of the dam for the first 10 years and then became stable and showed a maximum deposition of 0.9 m. The ratio of sediments passed through the dam to sediments transported out of reach varied from 0.833 to 0.921, showing that the river reach would continue to attain equilibrium even after 30 years of reservoir operation. The study would be helpful for the prediction of possible future changes in the Chenab River.

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Remote sensing based innovative solution of river morphology for better flood management

Cited by 8 publications

References 33 publications

Morphological Study of The Liliba River Utilizing Remote Sensing System

Morphological Study of The Liliba River Utilizing Remote Sensing System

GIS-assisted Flood-risk Potential Mapping of Ilorin and its Environs, Kwara State, Nigeria

Assessment of River Regime of Chenab River in Post-Chiniot Dam Project Scenario

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