Papers by Dr.dhananjay Deshmukh
European Journal of Water Quality
Badland forms represent an ever increasing erosive network of channels rendering land unfit for a... more Badland forms represent an ever increasing erosive network of channels rendering land unfit for agriculture and other uses. The alluvium badland track along Narmada and Sher rivers are located in central part of India. The base map of the area is delineated on the basis of divide of badland and other land using Survey of India (SOI) toposheets. Two distinct major badlands have been identified for their morphological characterization. The different map layers of drainage pattern, contour elevation, and distance map (distance of badland boundary from major river track as origin), isopach (depth of alluvium deposits) and slope are obtained in the GIS environment. Various attributes of map layers have been obtained to compute various morphological parameters. Encroachment of badland area from the main river water course decreases rapidly as it goes farther from main river track reveals distance from main river course is major factor in the expansion of badland. The study concludes that about 75% area of badland area had been developed on alluvium deposits having alluvium depth more than 120 m. Soft alluvium deposit is more susceptible to the gull erosion so it is the root cause for badland expansion onto the alluvium geological area. To identify the severity of erosive condition among badland watersheds, a Morphological Index of Erodibility (MIE) has been developed and applied to the study area and further it is verified from the field observations. Study revealed that MIE is very effective index and can be very helpful for watershed priority treatment. Moreover MIE can be used effectively to restore the watershed at its sustainable state by controlling or reducing number of streams with the help of gully controlling measures.
Morphological analysis of Sher River basin using GIS for identification of erosion-prone areas
Ecohydrology & Hydrobiology, 2010
The morphological analysis has been used to identify the erosion-prone sites in the Sher river ba... more The morphological analysis has been used to identify the erosion-prone sites in the Sher river basin which is one of the sub-basins of the greater Narmada basin, Madhya Pradesh, India. The Sher river basin has been divided into the forty five sub-basins of fourth order ...
Water Resources Management, 2011
The study area consists of three adjacent watersheds namely Barureva, Sher and Umar which conjoin... more The study area consists of three adjacent watersheds namely Barureva, Sher and Umar which conjoin together to form an important southern sub-basin of Narmada basin, MP, India. Morphological parameters of the three watersheds and their corresponding fourth order subwatersheds have been calculated with the help of data attributes generated from relevant GIS analysis. A Geomorphological Permeability Index (GPI) has been proposed which is comprised of watershed morphological parameters such as length ratio (R t), drainage density (D d), drainage frequency (D f) and relief ratio (R h) to assess the nature of permeability of geological formation and ground water recharge potential in 89 subwatersheds of study area. Result and analysis conclude that the high GPI values (>10) indicate the presence of permeable or soft geological formation and consequently assures the presence of good ground water storage. The comparison GPI values with geohydrological data conclude GPI index can also be successfully used to evaluate geohydrological condition of small watersheds in absence of observed field data. On the basis of GPI values ranges, subwatersheds of the study area can be sorted out for identification of ground water recharge areas, rain water harvesting areas and areas require erosion control measures.
Applied Sciences
Herein, the focus was on the identification of similarities in the weather parameters collected w... more Herein, the focus was on the identification of similarities in the weather parameters collected within 19 stations, consisting of 3 weather networks located in the Lower Athabasca River Basin operated under the Oil Sands Monitoring program. These stations were then categorised into seven distinct groups based on comparable topography and land cover. With regard to weather parameters, these were air temperature (AT), precipitation (PR), relative humidity (RH), solar radiation (SR), atmospheric/barometric pressure (BP), snowfall depth (SD), and wind speed/direction (WSD). For all seven groups, relational analysis was conducted for every station pair using Pearson’s coefficient (r) and average absolute error (AAE), except for wind direction and wind speed. Similarity analysis was also performed for each station pair across all seven groups using percentage of similarity (PS) measures. Our similarity analysis revealed that there were no similarities (i.e., PS value < 75%) for: (i) SR...
Climate, 2022
The Athabasca Oil Sands Area (AOSA) in Alberta, Canada, is considered to have a high density of w... more The Athabasca Oil Sands Area (AOSA) in Alberta, Canada, is considered to have a high density of weather stations. Therefore, our objective was to determine an optimal network for the wind data measurement that could sufficiently represent the wind variability in the area. We used available historical data records of the weather stations in the three networks in AOSA, i.e., oil sands monitoring (OSM) water quantity program (WQP) and Wood Buffalo Environmental Association (WBEA) edge sites (ES) and meteorological towers (MT) of the air program. Both graphical and quantitative methods were implemented to find the correlations and similarities in the measurements between weather stations in each network. The graphical method (wind rose diagram) was found as a functional tool to understand the patterns of wind directions, but it was not appropriate to quantify and compare between wind speed data of weather stations. Therefore, we applied the quantitative method of the Pearson correlation...
PLOS ONE, 2022
Our objective was to quantify the similarity in the meteorological measurements of 17 stations un... more Our objective was to quantify the similarity in the meteorological measurements of 17 stations under three weather networks in the Alberta oil sands region. The networks were for climate monitoring under the water quantity program (WQP) and air program, including Meteorological Towers (MT) and Edge Sites (ES). The meteorological parameters were air temperature (AT), relative humidity (RH), solar radiation (SR), barometric pressure (BP), precipitation (PR), and snow depth (SD). Among the various measures implemented for finding correlations in this study, we found that the use of Pearson’s coefficient (r) and absolute average error (AAE) would be sufficient. Also, we applied the percent similarity method upon considering at least 75% of the value in finding the similarity between station pairs. Our results showed that we could optimize the networks by selecting the least number of stations (for each network) to describe the measure-variability in meteorological parameters. We identif...
Journal of Hydrology, 2013
The CN represents runoff potential is estimated using three different methods for three watershed... more The CN represents runoff potential is estimated using three different methods for three watersheds namely Barureva, Sher and Umar watershed located in Narmada basin. Among three watersheds, Sher watershed has gauging site for the runoff measurements. The CN computed from the observed rainfall-runoff events is termed as CN (PQ), land use and land cover (LULC) is termed as CN (LU) and the CN based on land slope is termed as SACN 2. The estimated annual CN (PQ) varies from 69 to 87 over the 26 years data period with median 74 and average 75. The range of CN (PQ) from 70-79 are most significant values and these truly represent the AMC II condition for the Sher watershed. The annual CN (LU) was
Badland forms represent an ever increasing erosive network of channels rendering land unfit for a... more Badland forms represent an ever increasing erosive network of channels rendering land unfit for agriculture and other uses. The alluvium badland track along Narmada and Sher rivers are located in central part of India. The base map of the area is delineated on the basis of divide of badland and other land using Survey of India (SOI) toposheets. Two distinct major badlands have been identified for their morphological characterization. The different map layers of drainage pattern, contour elevation, and distance map (distance of badland boundary from major river track as origin), isopach (depth of alluvium deposits) and slope are obtained in the GIS environment. Various attributes of map layers have been obtained to compute various morphological parameters. Encroachment of badland area from the main river water course decreases rapidly as it goes farther from main river track reveals distance from main river course is major factor in the expansion of badland. The study concludes that about 75% area of badland area had been developed on alluvium deposits having alluvium depth more than 120 m. Soft alluvium deposit is more susceptible to the gull erosion so it is the root cause for badland expansion onto the alluvium geological area. To identify the severity of erosive condition among badland watersheds, a Morphological Index of Erodibility (MIE) has been developed and applied to the study area and further it is verified from the field observations. Study revealed that MIE is very effective index and can be very helpful for watershed priority treatment. Moreover MIE can be used effectively to restore the watershed at its sustainable state by controlling or reducing number of streams with the help of gully controlling measures.
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Papers by Dr.dhananjay Deshmukh