Drainage morphometry and its influence on landforms in volcanic terrain, Central Anatolia, Turkey

Altın, Türkan Bayer; Altın, Bekir Necati

doi:10.1016/j.sbspro.2011.05.192

Cited by 29 publications

(11 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The apparent solution to avoid miscounting is manual (visual) verification of the number of channels accounted for at each crosssection but this approach is less preferable when dealing with large datasets. Thus, as an alternative, the use of metrics characterizing the channel distribution per areal unit similar to a drainage density in drainage channel networks (Altin and Altin, 2011) or density of bifurcation nodes (Bertoldi et al, 2009) along the river referenced to the distance along the river (e.g. macrochannel centerline) is recommended for future applications.…”

Section: Channel Metricsmentioning

confidence: 99%

Discrimination of alluvial and mixed bedrock–alluvial multichannel river networks

Meshkova

Carling

2013

Earth Surf Processes Landf

View full text Add to dashboard Cite

This paper explores the use of planview morphological metrics to quantitatively describe and distinguish mixed bedrock-alluvial multichannel networks from alluvial multichannel networks. The geometries of the channel planforms of two bedrock-constrained networks (Mekong and Orange rivers) are compared with the classic alluvial anastomosed Upper Columbia River and the wandering Ganga River. Widely recognized indices utilized include: channel link count and channel sinuosity, with additional emphasis being given to the less common metrics: network bifurcation angles and island shape characteristics (i.e. aspect ratio, compactness, roundness and convexity). Link count data, with one notable exception, conform to theoretical expectations. Bifurcation angles for all four multichannel rivers are significantly greater than angles reported for braiding rivers. Island convexity clearly discriminates the two alluvial rivers from the two bedrock-influenced rivers. The width of the macrochannel, in which each network develops, has a positive influence on the number of channel links and is further related to channel slope variations which, in turn, are influenced by terrain structure revealed using trend-surface analysis. The geometry of multichannel networks are often laterally constrained such that the values of channel bifurcation angles and link sinuosity values reduce as the network intensifies and channel links are shortened. These latter observations go some way to explain the oft-noted relatively 'straight' links seen within multichannel networks which are a necessary adjustment to space-filling constraints placed on a network.

show abstract

Section: Channel Metricsmentioning

confidence: 99%

Discrimination of alluvial and mixed bedrock–alluvial multichannel river networks

Meshkova

Carling

2013

Earth Surf Processes Landf

View full text Add to dashboard Cite

show abstract

“…The R r of the UCRB varies from 5.6 to 35.08 (Table 4). Sub-basin 2 has the highest value of R r , suggesting that it has steep slopes, therefore, attaining peak flows with comparatively short basin lag time (Gopalakrishna et al 2004;Altin and Altin 2011). Due to the high values of R r , the sub-basins of the UCRB contribute maximum discharge in a short period and therefore cause flood in the lower parts of the basin.…”

Section: Relief Ratio (R R )mentioning

confidence: 99%

Flood vulnerability assessment of the upper Cross River basin using morphometric analysis

Ogarekpe

Obio

Tenebe

et al. 2020

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

Cross River, which originates from Cameroon, flows through several communities in Nigeria. The population upsurge and settlements near the river channel, however, portends the possibility of natural hazards such as floods. Floods within the upper Cross River basin (UCRB) have resulted in the loss of lives and property. The importance of flood studies, therefore, cannot be overemphasized. This study evaluated the influence of sub-basins on the flooding of the main channel in the UCRB using morphometric analysis. The UCRB was delineated into sub-basins using Shuttle Radar Topographic Mission Digital Elevation Model. The drainage network and morphometric parameters were extracted using QSWAT installed as a plugin in QGIS. Based on the compound factors computed from morphometric parameters that directly impact runoff, the UCRB was categorized into three flood vulnerability zones namely: high vulnerability (10.93-13.10), moderate vulnerability (8.75-10.92), and low vulnerability (6.57-8.74). The analysis revealed that sub-basins 18, 10, 8, 17, 1, 6, 15, and 13 have greater potentials to attain peak discharge in a short period, therefore, the instantaneous high runoff contribution of their tributaries to Cross River. The results of this study provide useful information for the effective mitigation and management of the flood vulnerabilities of the UCRB.

show abstract

“…Stream frequency indicates the stream network distribution over the watershed and it has a value of 0.054 per ha which indicates that the study area has a low relief and almost flat topography (Horton, 1932). Another important parameter of the morphometric analysis is texture ratio which depends on the underlying lithology, infiltration capacity, and relief aspect of the terrain (Demoulin, 2011;Altin and Altin, 2011). The watershed has a texture ratio of 2.16 and categorized as moderate in nature.…”

Section: Aerial Morphometric Parametersmentioning

confidence: 99%

Morphometric Analysis for Planning Soil and Water Conservation Measures Using Geospatial Technique

Dash¹,

Nagaraju²,

Sahu³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

View full text Add to dashboard Cite

Drainage morphometry and its influence on landforms in volcanic terrain, Central Anatolia, Turkey

Cited by 29 publications

References 16 publications

Discrimination of alluvial and mixed bedrock–alluvial multichannel river networks

Discrimination of alluvial and mixed bedrock–alluvial multichannel river networks

Flood vulnerability assessment of the upper Cross River basin using morphometric analysis

Morphometric Analysis for Planning Soil and Water Conservation Measures Using Geospatial Technique

Contact Info

Product

Resources

About