Papers by Ibrahim Bathish
The scarcity of reliable rainfall-runoff recorded data in Doddahalla watershed is a serious probl... more The scarcity of reliable rainfall-runoff recorded data in Doddahalla watershed is a serious problem for the analysis of the hydrology of watersheds. Sustainable management of the available water in this area is only possible when there was sound information on the rainfall-runoff and other hydrological determinants that influence the water resource. Considering the current problem rainfall-runoff. simulation is carried out using the HEC-HMS hydrological simulation model with integrated use of remote sensing and GIS. Tropical Rainfall Measuring Mission 3 hourly and Indian Meteorological Department daily rainfall datasets are utilised. Cartosat-1 CartoDEM (30 m) was used to delineate the sub-watershed and generate the stream network. Geospatial Hydrologic Modeling Extension (HEC-GeoHMS), along with ArcHydro extension in ArcGIS 9.3 utilised to create the input file for use in HEC-HMS. Indian Remote Sensing Satellite Linear Imaging and Self Scanning sensors (LISS-III, 24 m) and Survey of India (SOI) toposheet are used to prepare the soil and land use map. All the data are georectified and reprojected to Geographic Coordinate System-World Geodetic System 1984 (GCS WGS) Universal Transverse Mercator (UTM) zone 43 North for the easy handling in GIS environment. SCS-CN loss model and SCS unit hydrograph as a transform method was applied to simulate the excess storm water to direct runoff in the watershed. The Muskingum-Cunge model used as channel routing. The model is validated by using field observation data and discharge data from the neighbouring Hoovinahole watershed. The results of simulated and observed stream flow show greater confidence and the reliability of the model. Similar procedure and calibration parameters applied to the ungauged Doddahalla watershed for estimating the rainfall-runoff. The research result gives a general idea regarding the stream flow, peak flow and velocity of the peak flow. The present study concludes that the stimulated result can be useful for the water and land resource planning and management practice in the Doddahalla watershed. The models can be best utilised in ungauged watershed and water scarce region where the monitored data are limited, and runoff estimation is mandatory to sustain the water resources.
The land use and land cover provide essential information for modelling and understanding many Ea... more The land use and land cover provide essential information for modelling and understanding many Earth phenomena. Regional LULC changes are necessary because it can enhance understanding of the complex interactions between human activities and global climatic change. The research work demonstrates the effectiveness of the normalised difference vegetation index, nor-malised difference built-up index and normalised difference water index images to map the LULC classes in the Doddahalla watershed. These indices compress the satellite images and are easy to handle the data in an efficient manner. Cloud-free three decadal multispectral images from the Landsat satellite series for the year 1994-1995, 2000-2001 and 2014-2015 for all the major seasons are processed for evaluating the LULC changes in the drought-prone and water-scarce watershed. Survey of India toposheet and high-resolution satellite images from Google Earth are used for the preparation and update the land cover changes. Fourteen LULC classes are mapped up to level III classification system. The classified images are found to be consistent with the original colour composite image. The field verification of classified classes has assessed the accuracy with ground truth points collected across the study area with a representative of the individual land use classes. The classified image has been cross validated with a land use classification image obtained from NRSC (level I classified image from AWiFS acquired on March 8, 2008). The major changes are seen in the cropland, fallow land, forest land, water bodies and built-up land. The fallow lands are converted into built-up land due to the increase in the population density and process of urbanisation.
Groundwater is one of the valuable natural resources which determines the health of a human being... more Groundwater is one of the valuable natural resources which determines the health of a human being in an area. The present research investigated the hydrogeological determinants to assess the sensitivity of each factor to the infiltration pattern and to map the regional groundwater potential zone for the semi-arid watershed in Karnataka, India using a geographic information system (GIS) and satellite remote sensing. It was one of the driest and water scarcest regions in the country. Groundwater potential zones are demarcated by integrating the highly impacting thematic layers such as land use, soil texture and depth, rainfall, slope, drainage density, lineament and geo-morphology. The thematic layers are prepared from the remote sensing satellite images, ground truth data and available secondary data. Cartosat-1 CartoDEM (30 m), IRS P6 LISS III (24 m) and Landsat 8 (30 m), SOI toposheet (57 B/7, 57 B/8, 57 B/11, 57 B/12, 57 B/15 and57 B/16) and high resolution satellite images from Google Earth were used for the preparation of thematic maps. ArcGIS software was utilized to manipulate these data sets. Weight is assigned to each class for each thematic map according to their characteristic and interrelationship with groundwater. All the thematic layers are integrated into a GIS domain, and assigned weight values are added for each polygon in the attribute table. Then each polygon is classified a groundwater zone into five different subclasses according to the gained weight value. Only 15% of the total land area is rich with groundwater resources. More than 70% of the total land area is moderate to poor with groundwater resources. Ó 2016 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
In this study, a Geo-Spatial approach has been utilized for identification of suitable sites for ... more In this study, a Geo-Spatial approach has been utilized for identification of suitable sites for water harvesting in Karabayyanahalli sub-watershed. Based on the integrated use of remote sensing and GIS ideal sites for check dam have been developed for potential runoff harvesting. Satellite products such as CartoDEM (30 m spatial resolution) and IRS LISS III 1C/D and P6 (24 m spatial resolution) were utilised to map the thematic layer in Arc GIS environment. Survey of India topographic maps (57 B/8, 1:500000) and Google Earth maps are also utilized for the study. All the thematic layers are assigned weightage depending on the capacity of infiltration and runoff characteristics. Then all the layers are integrated one by one and separated the final weightage to a new shape files features. This shape files are overplayed on the drainage map and demarcated as check dam and percolation tank considering the socio-economic factors. The morphometric parameters which influence the soil erodibility are considered for the prioritisation of sub-watershed. The high priority areas are to be conserved from the soil erosion due the high runoff and land degradation. While selecting the water harvesting structure extra priority has to be given for these regions for the sustainability of land and water resources.
In the present study an attempt has made to analyse morphometric parameters and prioritisation of... more In the present study an attempt has made to analyse morphometric parameters and prioritisation of 24 sub-watershed of Doddahalla watershed in Chitradurga district. Study area lies in between 76°21'14.95"E to 76°50'34.82"E longitude and 14°4'9.42"N to 14°4'9.42"N latitude. CartoDEM (1 arc second) was used to extract the drainages and delineate the watershed. Arc hydro Tool for ArcGIS used to extract the streams from DEM. Mean Bifurcation ratio ranges from 3.26 to 4.87, where Bommasandra SW shows low value and Ganjigunte SW has high value. The shape parameter has varies from 0.2 to 0.62, 0.11 to 0.28, 0.51 to 0.89 and 1.86 to 2.9 for form factor, circularity index, elongation ratio and compactness constant respectively. The morphometric parameters which influence the soil erodibility are considered to prioritise the sub-watershed. Compound value for sub-watersheds was used to prioritize on the basis of their severity for soil erosion, hence the sub-watershed which has lowest compound value has been given very high priority and highest value has been given low priority. The present study shows the priority map of soil erosion in Doddahalla watershed and it is concluded that morphometric analysis can be used for prioritisation of sub-watershed even without the availability of reliable soil maps of the study area.
The accurate delineation of the
catchment boundaries is the first important
step in the determi... more The accurate delineation of the
catchment boundaries is the first important
step in the determination of catchment
geometry and extraction of stream network
for morphometric analysis. Morphometric
analysis were carried out for
Karabayyanahalli sub-watershed in
Karnataka state from three different
sources viz., Cartosat DEM (30m), SRTM
DEM (90m) and SOI topographic maps
(1:50,000). Different morphometric
parameters are derived from these three
data are evaluated to examine the
difference within the results for the
planning and management of micro
watershed in the study area. Drainages
are extracted from the DEM by using
Archydro tool in ArcGIS 9.3 version. The
drainage networks are digitized from SOI
toposheet. The flow of water from higher
to lower elevation and steepest descent in
a pixel are considered for the extraction of
drainages from DEM. Result from SOI
topographic maps are more or less
correlated with Cartosat DEM data.
SRTM data shows less drainage density
and frequency compared to Cartosat DEM
and SOI toposheet. The shape parameters
from all the three data show the subwatershed
is oval in shape. The results
shows that the morphometric parameters
derived from Cartosat DEM data provide
good and satisfactory information about
the catchment characteristics and it also
reveals that accuracy of the watershed
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Papers by Ibrahim Bathish
catchment boundaries is the first important
step in the determination of catchment
geometry and extraction of stream network
for morphometric analysis. Morphometric
analysis were carried out for
Karabayyanahalli sub-watershed in
Karnataka state from three different
sources viz., Cartosat DEM (30m), SRTM
DEM (90m) and SOI topographic maps
(1:50,000). Different morphometric
parameters are derived from these three
data are evaluated to examine the
difference within the results for the
planning and management of micro
watershed in the study area. Drainages
are extracted from the DEM by using
Archydro tool in ArcGIS 9.3 version. The
drainage networks are digitized from SOI
toposheet. The flow of water from higher
to lower elevation and steepest descent in
a pixel are considered for the extraction of
drainages from DEM. Result from SOI
topographic maps are more or less
correlated with Cartosat DEM data.
SRTM data shows less drainage density
and frequency compared to Cartosat DEM
and SOI toposheet. The shape parameters
from all the three data show the subwatershed
is oval in shape. The results
shows that the morphometric parameters
derived from Cartosat DEM data provide
good and satisfactory information about
the catchment characteristics and it also
reveals that accuracy of the watershed
catchment boundaries is the first important
step in the determination of catchment
geometry and extraction of stream network
for morphometric analysis. Morphometric
analysis were carried out for
Karabayyanahalli sub-watershed in
Karnataka state from three different
sources viz., Cartosat DEM (30m), SRTM
DEM (90m) and SOI topographic maps
(1:50,000). Different morphometric
parameters are derived from these three
data are evaluated to examine the
difference within the results for the
planning and management of micro
watershed in the study area. Drainages
are extracted from the DEM by using
Archydro tool in ArcGIS 9.3 version. The
drainage networks are digitized from SOI
toposheet. The flow of water from higher
to lower elevation and steepest descent in
a pixel are considered for the extraction of
drainages from DEM. Result from SOI
topographic maps are more or less
correlated with Cartosat DEM data.
SRTM data shows less drainage density
and frequency compared to Cartosat DEM
and SOI toposheet. The shape parameters
from all the three data show the subwatershed
is oval in shape. The results
shows that the morphometric parameters
derived from Cartosat DEM data provide
good and satisfactory information about
the catchment characteristics and it also
reveals that accuracy of the watershed