My Projects
![]() Water Logging Simulation | ![]() Sample 3D model | ![]() Generated Digital Surface Model |
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![]() Generated Contour map | ![]() Data collection using DJI Phantom 3 Advanced |
MAPPING GULLIES USING PHOTOGRAMMETRY
EXERCISED ON IIT GANDHINAGAR'S CAMPUS
Mapping geomorphic features using devices like Total Station and Auto Level is a very time consuming and laborious method. By using the techniques of photogrammetry, a 3D model of a part of IIT Gandhinagar's campus was created. The accuracy of mapped gullies was assessed by data collected using PPK (Post Processing Kinematic GPS).
![]() Study area and Data used | ![]() Methodology |
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MAPPING OF WILD RIVERS IN UTTARAKHAND
Himalayas, one of the densely populated mountain ranges are posed by a constant threat of earthquakes. The
Indian tectonic plate is moving towards the Asian tectonic plate with a net displacement of around 20 mm/year.
Most of it is accommodated by the many active faults lying all over Himalayas. An active fault may imply that the
region is relatively less prone to earthquake. Channel steepness and Stream Power along the streams may provide
the information through which active faults can be identified. However, getting drainage network from the Digital
Elevation Model (DEM) depends on many parameters.
In the project, two variables were considered for the Channel Initiation Function (CIF) – upstream area (A), and the
local slope (S). Among various possible combinations, the choice of CIF was narrowed down to two – AS or AS².
Different drainage networks were obtained for different thresholds on the CIF(s). Three different sub-basins (one
each from the Higher Himalayas (HH), the Lower Himalayas (LH), and the Siwaliks) were delineated using Google
Earth imagery. These digitized sub-basins were used as reference for getting the optimum threshold. For the same
sub-basins, different sets of drainage network were obtained by varying thresholds using TopoToolbox.
Taking digitized sub-basins as reference, two cost functions were considered for optimization of thresholds –
- Difference in number of Channel Heads
- Difference in the total first order stream length
The optimum stream network obtained using total first order length was impractical. The difference in the number
of Channel Heads was finalized as the cost function, and different thresholds were obtained for each CIF. It was
observed that the variation in thresholds (for sub-basins belonging to HH, LH and the Siwaliks) was lesser in case
of AS, as compared to AS². AS was finalized as the CIF, and an optimum average channel initiation threshold for
different litho tectonic units across the state was obtained. This threshold was used to obtain the stream network
for the entire Uttarakhand area, and Stream Power and Ksn was calculated along the stream network. Strong
control of litho-tectonics was observed on steepness and stream power across the units.
![]() Site Plan | ![]() Survey Site | ![]() Architectural Plan (Ground Floor) |
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![]() SAP Model | ![]() Beam Design | ![]() Staircase Detailing |
ARCHITECTURAL PLAN FOR G+1 SHOPPING MALL
The aim of the project was to design an architectural plan for a G+1 shopping mall in a given geographical location (Gandhinagar). Relevant soil data was provided (Bearing Capacity and Settlement was calculated accordingly). The followings conditions were to be met -
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20m * 30m area needs to be designed as an entrance court in the form of the atrium.
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The mall should have 8-10 shops of about 100 sq. m each.
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The mall should have one big shop of area 1500 - 1900 sq. m
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The mall should have sufficient provisions of common space and toilets
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The mall should have at least one elevator, one staircase near the entrance, one staircase for fire/emergency exit.
Following tasks were carried out -
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Architectural Layout
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Survey of the allocated site (using Total Station)
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Plinth level calculations
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Bill of Quantity (BOQ)
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SAP model and load analysis
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Design and detailing of truss (for atrium), beams, columns, slab, foundation, staircase, and elevator core.