A very young researcher with ๐ผ๐๐ฒ๐ฟ ๐ฏ๐ฌ ๐๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐ณ๐ถ๐ฐ ๐ฎ๐ฟ๐๐ถ๐ฐ๐น๐ฒ๐ in international peer-reviewed journals and books. Sumit's expertise lies in understanding landscape evolution, sediment transport in large rivers, climate change, hazard risk assessment, and GIS applications.
As a recognized expert, Sumit's present research focuses on the interplay between climate change and human impacts on river hydro-sediment transport; the geomorphic evolution of Peninsular India; and the occurrence of landslides in the Himalayas and Europe.
For more detailed information and a comprehensive list of publications, visit Sumit's profile at: https://sites.google.com/view/sumit-das/
The catchment area of the Godavari in Peninsular India shows complex heterogeneous morphologic, c... more The catchment area of the Godavari in Peninsular India shows complex heterogeneous morphologic, climatic, and geological settings. Although the sub-basins of the Godavari indicate a great spatial variation in sediment yield, the role of such morpho-climatic heterogeneity in the sediment yield variation is poorly understood. This study aims to analyze the role of geomorphology, lithology, precipitation, and land use on spatial sediment yield variation in the Godavari basin. Using digital topography data, with the aid of a Geographical Information System (GIS), we delineated 25 sub-basins based on gauging station locations and showed a wide variation of sediment yield, ranging from 28 to 3404 t kmโ 2 yrโ 1 . Several geomorphic attributes were found to be codependent; then, we utilized the partial least-square regression (PLSR) technique to recognize the relationship between controlling factors with sediment yield and established a predictive model. Furthermore, we quantitatively determined the most important first-order controlling factors using variable importance for the projection (VIP) method. The results of PLSR and VIP revealed that among 20 geomorphic variables, plan curvature (VIP = 1.61), profile curvature (1.61), LS factor (VIP = 1.51), topographic ruggedness index (VIP = 1.51), slope (VIP = 1.51), topographic wetness index (VIP = 1.29), and steepness index (VIP = 1.06) exert first-order control in sediment yield variation. Moreover, Mesozoic and Precambrian rocks in agricultural, forested, and bareground environments collectively play a crucial role under the influence of differential rainfall patterns in the spatial variation of sediment yield as indicated by VIP values higher than 1. Our optimal PLSR model explained 62% of the total variance in average sediment yield with a moderate predictive ability value (Q2 = 0.46). The insights obtained from the results of this study can be utilized for basin-specific erosion and hydrological modeling in a similar environment. Moreover, this study can be helpful to planners and policymakers for better erosion management and soilโwater conservation measures in the Godavari basin.
The catchment area of the Godavari in Peninsular India shows complex heterogeneous morphologic, c... more The catchment area of the Godavari in Peninsular India shows complex heterogeneous morphologic, climatic, and geological settings. Although the sub-basins of the Godavari indicate a great spatial variation in sediment yield, the role of such morpho-climatic heterogeneity in the sediment yield variation is poorly understood. This study aims to analyze the role of geomorphology, lithology, precipitation, and land use on spatial sediment yield variation in the Godavari basin. Using digital topography data, with the aid of a Geographical Information System (GIS), we delineated 25 sub-basins based on gauging station locations and showed a wide variation of sediment yield, ranging from 28 to 3404 t kmโ 2 yrโ 1 . Several geomorphic attributes were found to be codependent; then, we utilized the partial least-square regression (PLSR) technique to recognize the relationship between controlling factors with sediment yield and established a predictive model. Furthermore, we quantitatively determined the most important first-order controlling factors using variable importance for the projection (VIP) method. The results of PLSR and VIP revealed that among 20 geomorphic variables, plan curvature (VIP = 1.61), profile curvature (1.61), LS factor (VIP = 1.51), topographic ruggedness index (VIP = 1.51), slope (VIP = 1.51), topographic wetness index (VIP = 1.29), and steepness index (VIP = 1.06) exert first-order control in sediment yield variation. Moreover, Mesozoic and Precambrian rocks in agricultural, forested, and bareground environments collectively play a crucial role under the influence of differential rainfall patterns in the spatial variation of sediment yield as indicated by VIP values higher than 1. Our optimal PLSR model explained 62% of the total variance in average sediment yield with a moderate predictive ability value (Q2 = 0.46). The insights obtained from the results of this study can be utilized for basin-specific erosion and hydrological modeling in a similar environment. Moreover, this study can be helpful to planners and policymakers for better erosion management and soilโwater conservation measures in the Godavari basin.
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and geological settings. Although the sub-basins of the Godavari indicate a great spatial variation in sediment
yield, the role of such morpho-climatic heterogeneity in the sediment yield variation is poorly understood. This
study aims to analyze the role of geomorphology, lithology, precipitation, and land use on spatial sediment yield
variation in the Godavari basin. Using digital topography data, with the aid of a Geographical Information
System (GIS), we delineated 25 sub-basins based on gauging station locations and showed a wide variation of
sediment yield, ranging from 28 to 3404 t kmโ 2 yrโ 1
. Several geomorphic attributes were found to be codependent; then, we utilized the partial least-square regression (PLSR) technique to recognize the relationship
between controlling factors with sediment yield and established a predictive model. Furthermore, we quantitatively determined the most important first-order controlling factors using variable importance for the projection (VIP) method. The results of PLSR and VIP revealed that among 20 geomorphic variables, plan curvature
(VIP = 1.61), profile curvature (1.61), LS factor (VIP = 1.51), topographic ruggedness index (VIP = 1.51), slope
(VIP = 1.51), topographic wetness index (VIP = 1.29), and steepness index (VIP = 1.06) exert first-order control
in sediment yield variation. Moreover, Mesozoic and Precambrian rocks in agricultural, forested, and bareground environments collectively play a crucial role under the influence of differential rainfall patterns in the
spatial variation of sediment yield as indicated by VIP values higher than 1. Our optimal PLSR model explained
62% of the total variance in average sediment yield with a moderate predictive ability value (Q2 = 0.46). The
insights obtained from the results of this study can be utilized for basin-specific erosion and hydrological
modeling in a similar environment. Moreover, this study can be helpful to planners and policymakers for better
erosion management and soilโwater conservation measures in the Godavari basin.
and geological settings. Although the sub-basins of the Godavari indicate a great spatial variation in sediment
yield, the role of such morpho-climatic heterogeneity in the sediment yield variation is poorly understood. This
study aims to analyze the role of geomorphology, lithology, precipitation, and land use on spatial sediment yield
variation in the Godavari basin. Using digital topography data, with the aid of a Geographical Information
System (GIS), we delineated 25 sub-basins based on gauging station locations and showed a wide variation of
sediment yield, ranging from 28 to 3404 t kmโ 2 yrโ 1
. Several geomorphic attributes were found to be codependent; then, we utilized the partial least-square regression (PLSR) technique to recognize the relationship
between controlling factors with sediment yield and established a predictive model. Furthermore, we quantitatively determined the most important first-order controlling factors using variable importance for the projection (VIP) method. The results of PLSR and VIP revealed that among 20 geomorphic variables, plan curvature
(VIP = 1.61), profile curvature (1.61), LS factor (VIP = 1.51), topographic ruggedness index (VIP = 1.51), slope
(VIP = 1.51), topographic wetness index (VIP = 1.29), and steepness index (VIP = 1.06) exert first-order control
in sediment yield variation. Moreover, Mesozoic and Precambrian rocks in agricultural, forested, and bareground environments collectively play a crucial role under the influence of differential rainfall patterns in the
spatial variation of sediment yield as indicated by VIP values higher than 1. Our optimal PLSR model explained
62% of the total variance in average sediment yield with a moderate predictive ability value (Q2 = 0.46). The
insights obtained from the results of this study can be utilized for basin-specific erosion and hydrological
modeling in a similar environment. Moreover, this study can be helpful to planners and policymakers for better
erosion management and soilโwater conservation measures in the Godavari basin.