Javascript must be enabled to continue!
Geo-informatics based Morphometric Analysis of a Reservoir Catchment in Shivalik Foothills of North-West India
View through CrossRef
The present study examined 35 morphometric parameters related to stream/drainage network, catchment geometry, and relief aspects for hydrological characterization of the Thana Dam catchment using geospatial tools and techniques. The dam catchment was delineated using the high-resolution Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) Digital Elevation Model (DEM) data in ArcGIS 10.4.1 software using the Arc Hydro tools. The catchment is comprised of 4th order stream, obtained using a stream threshold value of 100 m length. The lower values of elongation ratio (0.61), circularity ratio (0.22), and form factor (0.29) indicated higher soil erosion potential, mainly due to their inverse relationship with land erodibility. Moreover, the higher values of stream frequency (15.7), drainage density (>5.0), drainage texture (7.48 km-1), and mean bifurcation ratio (4.08-6.33) indicated higher runoff potential, which would intensify the soil erosion, mainly due to their direct relationship with erodibility. Bifurcation ratio, elongation ratio, circulatory ratio, form factor, altogether indicated an elongated shape of the catchment with a fine drainage texture. The higher values of bifurcation ratio and texture ratio of the catchment also indicated severe overland flow (low infiltration rate) with a limited scope for groundwater recharge in the area, which in turn might significantly encourage the soil erosion. Overall, it was concluded that the catchment has a huge runoff potential resulting in high soil erosion due to its fine texture, impermeable subsurface material, steep slope, low infiltration rate, limited vegetation, longer duration of overland flow, and higher surface runoff. The morphometric analysis was found to be suitable for identifying catchment shape and the factors affecting hydrologic conditions and erodibility of the catchment. Thus, Geo-informatics based morphometric analysis of a reservoir catchment can be useful to study the erosion potential in relation to hydrologic (rainfall-runoff relationship) and other related land characteristics (e.g., relief, slope, infiltration rate, etc.).
Indian Society of Agricultural Engineers
Title: Geo-informatics based Morphometric Analysis of a Reservoir Catchment in Shivalik Foothills of North-West India
Description:
The present study examined 35 morphometric parameters related to stream/drainage network, catchment geometry, and relief aspects for hydrological characterization of the Thana Dam catchment using geospatial tools and techniques.
The dam catchment was delineated using the high-resolution Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) Digital Elevation Model (DEM) data in ArcGIS 10.
4.
1 software using the Arc Hydro tools.
The catchment is comprised of 4th order stream, obtained using a stream threshold value of 100 m length.
The lower values of elongation ratio (0.
61), circularity ratio (0.
22), and form factor (0.
29) indicated higher soil erosion potential, mainly due to their inverse relationship with land erodibility.
Moreover, the higher values of stream frequency (15.
7), drainage density (>5.
0), drainage texture (7.
48 km-1), and mean bifurcation ratio (4.
08-6.
33) indicated higher runoff potential, which would intensify the soil erosion, mainly due to their direct relationship with erodibility.
Bifurcation ratio, elongation ratio, circulatory ratio, form factor, altogether indicated an elongated shape of the catchment with a fine drainage texture.
The higher values of bifurcation ratio and texture ratio of the catchment also indicated severe overland flow (low infiltration rate) with a limited scope for groundwater recharge in the area, which in turn might significantly encourage the soil erosion.
Overall, it was concluded that the catchment has a huge runoff potential resulting in high soil erosion due to its fine texture, impermeable subsurface material, steep slope, low infiltration rate, limited vegetation, longer duration of overland flow, and higher surface runoff.
The morphometric analysis was found to be suitable for identifying catchment shape and the factors affecting hydrologic conditions and erodibility of the catchment.
Thus, Geo-informatics based morphometric analysis of a reservoir catchment can be useful to study the erosion potential in relation to hydrologic (rainfall-runoff relationship) and other related land characteristics (e.
g.
, relief, slope, infiltration rate, etc.
).
Related Results
Nursing Informatics Certification Worldwide: History, Pathway, Roles, and Motivation
Nursing Informatics Certification Worldwide: History, Pathway, Roles, and Motivation
SummaryIntroduction: Official recognition and certification for informatics professionals are essential aspects of workforce development. Objective: To describe the history, pathwa...
Current Perspectives on Cystic Echinococcosis: A Systematic Review
Current Perspectives on Cystic Echinococcosis: A Systematic Review
Abstract
Introduction: Hydatidosis, a zoonotic disease caused by the larval stage of Echinococcus granulosus, is a significant public health concern with notable economic impact. I...
Casing Deformation in Ekofisk
Casing Deformation in Ekofisk
Summary
Casing deformation resulting from reservoir compaction occurred in the Ekofisk field operated by Phillips Petroleum Co. Norway and is a serious problem in...
Improving and parameterising nitrogen and phosphorus modelling for application of LUCI in New Zealand
Improving and parameterising nitrogen and phosphorus modelling for application of LUCI in New Zealand
<p>Over the last 50 years freshwater and marine environments have become severely impaired due to contamination from pathogens, heavy metals, sediment, industrial chemicals a...
Improved Reservoir Fluid Estimation for Prospect Evaluation Using Mud Gas Data
Improved Reservoir Fluid Estimation for Prospect Evaluation Using Mud Gas Data
Abstract
Reservoir fluid estimation for exploration prospects can be random and of large uncertainties. Typically, the reservoir fluid estimation in a prospect can b...
Predicting Reservoir Fluid Properties from Advanced Mud Gas Data
Predicting Reservoir Fluid Properties from Advanced Mud Gas Data
SummaryIn a recent paper, we published a machine learning method to quantitatively predict reservoir fluid gas/oil ratio (GOR) from advanced mud gas (AMG) data. The significant inc...
Characterizing Groundwater Quality, Recharge and Distribution under Anthropogenic conditions
Characterizing Groundwater Quality, Recharge and Distribution under Anthropogenic conditions
Awareness concerning sustainable groundwater management is gaining traction and calls for adequate understanding of the complexities of natural and anthropogenic processes and how ...
Genetic-Like Modelling of Hydrothermal Dolomite Reservoir Constrained by Dynamic Data
Genetic-Like Modelling of Hydrothermal Dolomite Reservoir Constrained by Dynamic Data
This reference is for an abstract only. A full paper was not submitted for this conference.
Abstract
Descr...

