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The morphometric parameters have been calculated using extracted drainage network.
The different morphometric parameters have been determined as shown in the Table 1.
The morphometric parameters have been computed under linear, relief and aerial aspects.
A series of morphometric parameters have been studied in 30 selected basins in order to characterize their shape as well as the drainage network.
3D morphometric parameters of different types of closed cell aluminium alloy foam have been characterised, and the effects of the measurement resolution, and the integration time on the measured morphometric parameters have been studied.
In general, the results showed that morphometric parameters have high efficiency in identification of erosion-prone areas and also VIKOR method has higher predictive accuracy than TOPSIS, SAW, and CF models.
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The morphometric parameters had a normal distribution (Shapiro-Wilk test, P > 0.05 for all the examined parameters).
The detailed study shows 19 morphometric parameters that have been calculated with the help of Arc GIS-10 software.
Integrating remote sensing data and GIS tools, therefore, allow automated computation of morphometric parameters and have been successfully employed by several researchers (e.g., Magesh et al. 2011; Thomas et al. 2012; Kaliraj et al. 2014; Banerjee et al. 2015; Roy and Sahu 2016) for generating updated and reliable information to characterize watershed physiographic attributes.
Hence, on the basis of morphometric parameters, SW1 and SW2 have high priority, SW4 and SW5 have medium priority and SW3 and SW6 have low priority.
The morphometric parameters of Shanur River Basin have been examined and the results are given below.
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