Morphometric analysis of the upper catchment of Kosi River using GIS techniques

Wakode, Hemant Balwant; Dutta, Dibyendu; Desai, V. R.; Baier, Klaus; Azzam, Rafig

doi:10.1007/s12517-011-0374-8

Cited by 36 publications

(12 citation statements)

References 5 publications

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“…Most studies indicate the increasing order of streams in the mountain-plain humid environment than plateau-plain subhumid environment (Wakode et al 2013). The total number of streams of Kosi basin are 10,591 of which 5315 (50.2%), 2449 (23.1%), 1338 (12.6%), 768 (7.8%), 551 (5.2%), 71 (0.7%) and 99 (0.9%) streams belongs to 1st, 2nd, 3rd, 4th, 5th, 6th, and 7th order, respectively (Table 2) (Fig.…”

Section: Linear Aspects Of River Basin Morphometrymentioning

confidence: 99%

The significance of morphometric analysis to understand the hydrological and morphological characteristics in two different morpho-climatic settings

Mahala

2019

Appl Water Sci

137

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Drainage morphometric parameters are important indicator to understand the hydrological and morphological characteristics of any region. Present study aims to understand the hydrological and morphological characteristics in two different morphoclimatic settings from drainage basin morphometric parameters. Remote sensing and GIS have been used as efficient tools in delineating and understanding of any drainage basin morphometry. The Kosi River basin of northern India for the mountain-plain tropical environment and Kangsabati River basin of eastern India for the plateau-plain sub-humid environment has been selected for the present study. The geological, geomorphological, hydrological, fluvial characteristics have been stressed out under linear, areal and relief aspects of morphometric parameters. The drainage morphometric parameters have been determined and measured after using the Advanced Space borne Thermal Emission and Reflection Radiometer global DEM (90 m) in ARC GIS 10.1. All the linear morphometric measures of mountain-plain humid Kosi River basin indicate its high flood potentiality, whereas, linear morphometric measures of Kangsabati River basin indicate less flood potentiality and plateau landform characteristics of sub-humid environment. The mean bifurcation ratio also indicates Kosi River has greater flood potentiality than Kangsabati River. Kosi River has drained large amount of water due to its near-circular basin shape than Kangsabati River which has an elongated shape. All the relief characteristics indicate that tropical mountain-plain environment dominated Kosi River basin is in rejuvenated or young stage of geomorphic development, whereas sub-humid plateau-plain dominated Kangsabati River basin is in mature stage of geomorphic development. Most of the morphometric characteristics indicate there are high geologic and geomorphological controls on river basin characteristics. The remote sensing and GIS tool have been successfully implemented throughout the study to understand the morphometric characteristics in two different morpho-climatic settings. Also, the results can be used for plan formation and sustainable management of the study area.

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Section: Linear Aspects Of River Basin Morphometrymentioning

confidence: 99%

The significance of morphometric analysis to understand the hydrological and morphological characteristics in two different morpho-climatic settings

Mahala

2019

Appl Water Sci

137

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“…DEMs have been widely adopted in various applications, such as geomorphological and hydrogeological modeling (El Bastawesy 2014;Wakode et al 2013), viewshed analysis (Fisher 1992), and the correction of digital satellite Imagery (Van Niel et al 2008). DEMs can be constructed based on an interpolation method with a series of sample points.…”

Section: Surface Modeling Of Demsmentioning

confidence: 99%

A generalization of inverse distance weighting method via kernel regression and its application to surface modeling

Chen

Zhao²,

Yue³

et al. 2014

Arab J Geosci

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The inverse-distance weighting (IDW) method is considered as one of the most popular deterministic methods and is widely applied to a variety of areas because of its low computational cost and easy implementation. In this paper, we show that the classical IDW is essentially a zeroth-order local kernel regression method with an inverse distance weight function. Thus, it suffers from various shortcomings, such as the boundary bias. Considering the advantages of the local polynomial modeling technique in statistics, the classical IDW was generalized into a higher-order regression by the Taylor expansion and then computed by means of a weighted leastsquares method. Surface modeling of rainfall fields in China indicated that the generalized IDWs with the first-and secondorders are more accurate than the classical IDW in terms of root mean square error (RMSE). The example of digital elevation model construction with a group of sample points showed that the two generalized IDWs have better RMSE and mean error than the classical IDW. Furthermore, the second-order IDW has a better performance than the ordinary kriging in terms of RMSE. A theoretical analysis demonstrated that the gradient-plus-inverse distance squared method presented by Nalder and Wein (Agric For Meteorol 92(4): 211-225, 1998) is a first-order form of the generalized IDW expanded on spatial coordinates and elevation. In a word, the generalized IDW can incorporate multiple covariates, which can better explain the interpolation procedure and might improve its accuracy.

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“…In similar study, Bajaba et al (2014) identified flash-flood prone areas and suggested mitigation measures based on drainage morphometry derived from ASTER DEM. GIS based drainage morphometry studies not only fast but also computationally efficient, which have been used for understanding basin characteristics, hydrological response and watershed prioritization studies (Thomas et al 2012, Avinash et al 2011, Patel et al 2012, Abdel-Lattif and Sherief 2012, Romshoo et al 2012, Yadav et al 2014, Wakode et al 2013, Tamma Rao et al 2012 The hydrological processes in a river basin is mainly driven by climate and physiograhic factors. Therefore, it is very important to understand the basin morphology and their hydrological significance, as both are inextricably linked through geomorphic process of soil development, erosion and deposition (Beven et al 1988).…”

Section: Introductionmentioning

confidence: 99%

GIS based drainage morphometry and its influence on hydrology inparts ofWestern Ghats region, Maharashtra, India

Samal

Gedam

Nagarajan

2015

Geocarto International

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A c c e p t e d M a n u s c r i p t RESEARCH ARTICLEGIS based drainage morphometry and its influence on hydrology in parts of Western Ghats region, Maharashtra, IndiaVarious drainage morphometric parameters in the Upper Bhima river basin and its influence on hydrological processes (e.g runoff, peak flow, time to peak, infiltration, overland flow etc.) were discussed using Geographical Information System (GIS) and Remote Sensing (RS) techniques. Survey of India (SoI) topographical maps and ASTER Digital Elevation Model (DEM) was incorporated for thematic database generation and morphometric parameter evaluation. Total study basin was divided into 8 sub-basins so that the spatial variation of morphological parameters and its influence on hydrology could be analysed. The interrelationship between morphometric variables were computed (p <0.05) and presented in a correlation matrix. The study revealed that, mean basin slope (B s ), drainage density (D), length of overland flow (L g ) and basin relief (H) are significantly related with a large number of morphometric variables. Due to close proximity of Western Ghats, sub-basins 1, 2, 4, 5 and 6 are highly influenced by slope as result, length of overland flow decreases and water immediately follow channel path. In contrast, sub-basins 3, 7 and 8 are relatively flatter, overland flow is relatively longer and favourable for infiltration. Independent morphometric variables were identified from correlation matrix and used in a Multiple Criteria Analysis (MCA) framework for watershed prioritization. Analytical Hierarchical Process (AHP), a MCA technique, identified the highest (sub-basin 4) and lowest (sub-basin 7) priority sub-basins in the Upper Bhima basin. The outcome of the study may be useful for watershed managers and planners while implementing soil and water conservation measures in the region.

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Morphometric analysis of the upper catchment of Kosi River using GIS techniques

Cited by 36 publications

References 5 publications

The significance of morphometric analysis to understand the hydrological and morphological characteristics in two different morpho-climatic settings

The significance of morphometric analysis to understand the hydrological and morphological characteristics in two different morpho-climatic settings

A generalization of inverse distance weighting method via kernel regression and its application to surface modeling

GIS based drainage morphometry and its influence on hydrology inparts ofWestern Ghats region, Maharashtra, India

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