Determination of Temporal Changes in the Sinuosity and Braiding Characteristics of the Kizilirmak River, Turkey

Öztürk, Derya; Sesli, Faik Ahmet

doi:10.15244/pjoes/58765

Cited by 12 publications

(9 citation statements)

References 19 publications

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“…Es el cociente entre el área total de barras activas (BA) y el área total de la lámina de agua activa (LAa). Unos valores más altos indican una mayor presencia de barras respecto al cauce (Ozturk & Sesli, 2015), lo que evidencia la libertad del río para poder modificar su curso durante las crecidas formativas. Cuanto mayor sea la relación, mayor movilidad potencial tendrá el cauce en la fecha analizada y mayor capacidad para cambiar su patrón de drenaje.…”

Section: Fuente: Elaboración Propiaunclassified

Análisis multi-temporal de los cambios geomorfológicos y de la cubierta vegetal en un cauce extenso de gravas: el río Cinca, Aragón (España)

Blanco

Gracia

Ojeda

2022

BAGE

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El curso medio-bajo del río Cinca ha sufrido importantes cambios en los últimos 90 años, tanto en la geomorfología de su cauce como en la vegetación que ocupa su Territorio Fluvial. En este estudio se han analizado los cambios observados entre las fotografías aéreas de nueve fechas distintas, desde 1927 a 2018, mediante fotointerpretación. Paralelamente, se ha analizado la hidrología, la extracción de gravas, la introducción de defensas y las roturaciones –entendidas como la puesta en cultivo por primera vez de tierras eriales o montes descuajados– como factores de influencia sobre el sistema fluvial. Los resultados obtenidos evidencian una gran reducción de la superficie ocupada por el canal activo en beneficio de la vegetación riparia y de otras cubiertas antropizadas. El cauce se ha simplificado, viéndose reducida su superficie activa y pasando de tener un patrón trenzado a otro divagante. Asimismo, la movilidad reciente es muy reducida y la lámina de agua ocupa la mayor parte del canal activo. En resumen, la reducción de la dinámica del amplio cauce de gravas del Cinca supone una notable pérdida de patrimonio natural en el marco hidrogeomorfológico de la Península Ibérica.

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Section: Fuente: Elaboración Propiaunclassified

Análisis multi-temporal de los cambios geomorfológicos y de la cubierta vegetal en un cauce extenso de gravas: el río Cinca, Aragón (España)

Blanco

Gracia

Ojeda

2022

BAGE

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“…Green is the 3 rd band, NIR is the 5 th band, SWIR1 is the 6 th band and SWIR2 is the 7 th band of Landsat-8 OLI. For distinguishing water and non-water areas, NDWI threshold values can be successfully designated both manually and automatically [8,11,16,18,30]. In this study, manual designation was preferred in consideration of the water and non-water classes.…”

Section: Study Areamentioning

confidence: 99%

Water Body Detection Analysis Using NDWI Indices Derived from Landsat-8 OLI

Özelkan¹

2020

Pol. J. Environ. Stud.

112

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Water is the most important resource for sustaining life since it keeps the whole ecosystem alive and shapes human civilization [1,2]. Water resource management will be the most important issue in the future as it is today, especially for arid and semi-arid regions [3]. Due to the increasing population and consequent increase in food requirements, global warming and climate change, precision water resources management is of much greater importance -especially in the organization of agricultural irrigation activities [4,5]. However, effective water resource management is only possible with continuous monitoring [6,7]. Satellite remote sensing is functional technology for monitoring natural resources such as water bodies and enables a timeand cost-effective monitoring of water resources with reliable data [8][9][10].Several satellite remote sensing methods such as image classification, linear unmixing, single-band thresholding and water index are available to determine water bodies [11][12][13][14]. Since linear unmixing and image

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“…Hence, it is required to study the rivers' morphological changes. The sinuosity index and bank erosion are used to detect and quantify the morphological changes in rivers (Schumm 1963;Ozturk & Sesli 2015). The river drainage line's sinuosity index measures the river's impact on terrain (Panda & Bora 1992).…”

Section: Introductionmentioning

confidence: 99%

Meandering rivers’ morphological changes analysis and prediction – a case study of Barak river, Assam

Nath

Ghosh

2022

H2Open Journal

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Morphological studies are vital for water resources management, riverbank development, and flood mitigation. In this study, the sinuosity index and bank erosion were used to detect and quantify morphological changes using Landsat data (1990–2020) in the Barak river, India. The morphological changes were investigated in protected areas to analyze the effectiveness of existing protective structures on bank migration, which helps formulate better riverbank restoration plans. Using monthly discharge data from two stream gauge stations, the Seasonal Autoregressive Integrated Moving Average (SARIMA) models were developed. The extensive sediment transportation in the region necessitates studying both the river flow and morphological changes. The developed SARIMA model was used to predict river discharges up to 2025, being trained with data from 2006 to 2015. The validation of the model (2016–2018) shows that the mean absolute percentage error for discharge at two gauging stations is 29.78 and 23.52%, respectively. The analysis shows that the sinuosity index and bank erosion were inversely proportional. The SARIMA model showed that the future monthly discharge in the case study could be substantially higher than the observed series and affect river erosion simultaneously. This approach applies to many other meandering river management and identifies future morphological changes.

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Determination of Temporal Changes in the Sinuosity and Braiding Characteristics of the Kizilirmak River, Turkey

Cited by 12 publications

References 19 publications

Análisis multi-temporal de los cambios geomorfológicos y de la cubierta vegetal en un cauce extenso de gravas: el río Cinca, Aragón (España)

Análisis multi-temporal de los cambios geomorfológicos y de la cubierta vegetal en un cauce extenso de gravas: el río Cinca, Aragón (España)

Water Body Detection Analysis Using NDWI Indices Derived from Landsat-8 OLI

Meandering rivers’ morphological changes analysis and prediction – a case study of Barak river, Assam

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