Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Spatial Interpolation and Mapping of Soil Geotechnical Properties of Udham Singh Nagar District using GIS

Author : Shubham khatri 1 Sanjeev Suman 2

Date of Publication :22nd February 2018

Abstract: Mapping of Geotechnical properties like specific gravity, Maximum Dry Density, Optimum Moisture Content of soil of an area can be spatially interpolated for its ready use in Civil Engineering construction using Geographical Information System (GIS).GIS provides an easy to use atmosphere for geospatial analysis of different soil properties. The main aim of the study is to predict the spatial variability of geotechnical properties of soil using well known spatial interpolation methods like Inverse Distance Weighted (IDW).The map of study area of Udham Singh Nagar district of Uttarakhand state was digitized up to tehsils and village level and then divided into rectangular grids having known latitudes and longitudes of sampling points. The handheld Global Positioning System (GPS) was used to reach the known latitudes and longitudes of known sampling points of grid and soil samples were collected. IDW method of spatial interpolation was applied for preparation of thematic maps of soil properties. The accuracy of predicted maps was determined using Root Mean Square (RMS) Error and Goodness of prediction (GOP) values by comparing predicted values with the actual values.Small to medium RMS values for most of the properties showed more accuracy in predicted values of soil properties and positive values for G indicated that most of the predictions are reliable.The methodology presented in this study can be used to create thematic maps of soil properties at a much larger scale.Different methods of spatial Interpolation like IDW, Kriging, Splines etc. can be used and predicted surfaces from different methods can be compared for more accurate prediction. Since most of the methods of interpolation are based on different assumptions and these methods are used to provide estimates of the values of un-sampled locations on the basis of known values, hence these methods always have some inaccuracy in their output results.

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