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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2902
Soil Property Mapping of Kazhakuttam Ward using Geographic
Information System (GIS)
Swathi J.1, Rani V.2
1M. tech student, Department of Civil Engineering, Marian Engineering College, Kerala, India
2Associate Professor, Department of Civil Engineering, Marian Engineering College, Kerala, India
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Trivandrum being the capital city is one of the
most developed cities in Kerala. Many major projects took
birth here in the capital city during the last few years. One of
the major cities in Trivandrum is Kazhakuttam which is now
colloquially called as “New Trivandrum”. Such a growing city
does not have a proper geodatabase which could make the
civil engineering works easier. The main objectiveofthisstudy
is to create a database of soil properties at 0.5m depth of
Kazhakuttam area. Evaluation of soil properties is a verytime
consuming process that also relies on the memory of the
personnel that are responsibleformaintainingthe database. If
such a geodatabase is available and easily accessible, itwill be
of great advantage for civil engineering works especially
geotechnical works. Hence this study aims to investigate the
development of a Geographic Information System (GIS) to
better manageand disseminatesoilsinformation, asdeveloped
from soil test results.
Key Words: Soil mapping, Geographic Information
system, Digital Elevation Model
1. INTRODUCTION
Kazhakuttam is a locality in Trivandrum city, the
capital of Kerala. It is located on the national highway 66 on
the way to Kollam from the city and has gained significance
because of proximity to Vikram Sarabhai Space Centre,
KINFRA Film and Video Park, Trivandrum International
Stadium and Techno Park. Kazhakuttam is a legislative
assembly constituency, whichiscurrentlybeingrepresented
by Kadakampally Surendran. Kazhakuttam is a corporation
area which consists of 3 wards viz.Kazhakuttamward(ward
no.1), Chanthavila ward (ward no. 2) and Kattayikonam
ward (ward no. 3). Kazhakuttamwardcomprisesofthemain
city area including Kazhakuttam junction and other basic
amenities like hospitals, police station, commercial shops,
apartments and dwellings, etc. The geographic coordinates
of the study area lies between 8:33’30”N to 8 :36’30”N
latitude and 76:51’00”E to 76:53’30”E longitude. Soil
samples from 10 different locations of Kazhakuttam ward
were collected and tested.
Soils can be mapped at a range of scales from very
detailed at 1:1,250 to 1:5,000 by which the patternofsoilsin
individual fields can be identified, through to scales of
1:500,000 to 1:500,000,000 which provide only a much
generalized picture of the soils of a country or continent.
1.1 Soil Properties
Soil is a natural material having variety of physical
properties, most of which are not constant and it is varying
from place to place. The properties of soil can be divided as
index properties and engineering properties. The main
engineering properties arepermeability,compressibilityand
shear strength. Index properties of soils are those properties
which are mainly used in the identification and classification
of soils and help the geotechnical engineer in predicting the
suitability of soils as foundation/construction material.
Therefore the properties of soil such as specific gravity,
moisture content, dry density, wet density and consistency
limits such as liquid limit, plastic limits and shrinkage limits
are the essential fordetermination of engineeringproperties
of soil, which will help to geotechnical engineer for decision
making process of suitability of soil as foundation materials
or construction materials. Index properties of soil are the
important parameters in geotechnical engineering and they
are changing from place to place both along the depth and
width of the stratum. If the properties of soil are properly
studied and the results of soil exploration correctly
understood and intelligently applied to the design and
construction of earthworks and structural foundations,
failures usually can be avoided. Any field or laboratory soil
testing will provide result which is too specific for a
particular location to generalize over an extended area.
1.2 Geographic Information System (GIS)
Geographic information system (GIS) is a technological
field that incorporates geographical features with tabular
data in order to map, analyse, and assess real world
problems. The key word to this technologyisgeography-this
means that some portion of the data is spatial. . In other
words, data that is some way referenced to locations on
earth. Coupled with this data is usually tabular data known
as attribute data. Attribute data can be generally defined as
additional information about each of the special features. It
is the partnership of these two data types that enablesGIS to
be such an effective problem solving tool through special
analysis. USGS defines a geographic information system as a
computer based tool for mapping and analysing things that
exist and events that happen on earth. GIS operatesonmany
levels. On the most basic level, GIS technology is used as
computer cartography that is for straight forward mapping.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2903
2. METHODOLOGY
The GIS maps were created using the ArcMap 10.2,
licensed version gis software of ESRI the free version of gisis
QGIS which isalso very user friendly. The samplinglocations
were plotted on the boundary map of Kazhakuttam ward.
Digital elevation model of the study area was obtained and
extracted from United States geological survey official
website. From the DEM dataobtainedslopemapwascreated.
The primary data (soil properties tested) of the study area
with geographical coordinates was incorporated into GIS
worksheet from excel file. Using spatial analyst tools, inverse
distance weighted interpolation was done to depict the soil
properties at locations where data are unavailable. Thus
thematic maps of soil properties at different locations of
Kazhakuttam ward was created.
The soil samples were collected at 0.5m depth from 10
different sites in Kazhakuttamward.Fig.1showsthelocation
of sampling points of Kazhakuttam ward.
Fig -1: Thematic map showing sampling locations
Fig -2: Digital Elevation Model of Kazhakuttam ward
DEM is used to refer any digital representation of
topographic surface and is used to determine the terrain
attributes such as elevation at any point, slope and aspect.
The higher the elevation regions are situated in the western
part and lower elevation regions are situated on the eastern
part of the area.
Fig -3: Slope map of Kazhakuttam ward.
Slope identifies the maximum rate of change, from each
cell to its neighbours. An output slope raster dataset can be
calculated as either a percentage of slopes or a degree of
slope. The higher elevation regions are situated in the
western part and lower the elevation are situated in the
eastern part of the area. Fig. 3 shows the variation in slope in
degrees in the study area.
The soil samples were takenfrom10differentsitesacross
the study area(Kazhakuttamward)at a depth of 0.5m below
the ground surface. The top soil was removed to collect the
soil at 0.5m depth. Thus the soil does not containplantdebris
and other litters. The sample number along with name of the
sitefrom the sample wascollected,geographiccoordinatesof
the location and typeof soil prevailing over theareaisshown
in Table 1.
Table -1: Sampling sites
Sample no. Site name
S1 Chittattumukku
S2 Menamkulam
S3 Perumann road
S4 Near Al - Saj Convention centre
S5 Kazhakuttam Police Station
S6 Vettu road junction
S7 Kurisadi junction
S8 KHRI
S9 Kariyil
S10 Near Ulloorkonam
The soil properties like particle size (percentage of gravel,
percentage of sand, percentage of silt and percentage of
clay), natural moisture content, compaction characeristics
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2904
(maximum dry density and optimum moisture content),
specific gravity, engineering properties (permeability and
shear strength), consistency characteristics (liquid limit,
plastic limit, shrinkage limit and plasticity index) were
tested. Table 2 shows the sampling locatios and type of soil
there.
Table -2: Sampling location and type of soil
Sample
no.
Latitude Longitude Type of soil
S1 8:34’35.11” N 76:51’35.37” E SP
S2 8:33’49.61” N 76:52’10.91” E SP
S3 8:34’15.94” N 76:52’47.63” E CI
S4 8:34’46.27” N 76:52’7.45” E CI
S5 8:34’16.34” N 76:52’12.44” E SW
S6 8:35’7.77” N 76:51’58.25” E CL
S7 8:34’35.02” N 76:52’2.55” E CL
S8 8:33’58.22” N 76:52’3.98” E CL
S9 8: 34’7.06” N 76:51’53.31” E SW
S10 8:34’28.88” N 76:52’30.54” E SC
3. RESULTS AND DISCUSSION
The thematic maps of soil properties tested are shown
below. The percentage gravelcontentvariedfrom0%to14%
across the area. At 0.5m depth from 3 sampling locations
gravel was found. The percentage ofsandvariedfrom10%to
100% across the area. At 0.5m depth all samples were found
to have sand proportion. The percentage was found using
Sieve Analysis Method (IS 2720 Part 4).
The percentage of silt varied from 0% to 42% across the
area. At 0.5m depth except at sample collected from
Kazhakuttam police station, all other samples were found to
have sand proportion. The percentageofclayvariedfrom0%
to 68% across the area. The percentage was found using
Hydrometer Analysis Method (IS 2720 Part 4).
Fig. 4 shows the variation in natural water contentacross
Kazhakuttam ward using IDW interpolation technique. The
natural moisture content varied from 2% to 35.26% across
the area. All samples had moisture content present in them.
The percentage was found using oven drying method.
Fig -4: Thematic map for natural water content variation
Fig. 5 shows the variation in dry density across
Kazhakuttam ward using DW interpolation technique. The
dry density varied from 14.10% to 19.24 % across the area.
The percentage was found using Compaction test (IS 2720
Part 7).
Fig -5: Thematic map for dry density variation
Fig. 6 shows the variation in specific gravity across
Kazhakuttam ward using IDW interpolation technique. The
specific gravity varied from 2.12% to 2.69 % acrossthearea.
Fig -6: Thematic map for specific gravity variation
Fig. 7 shows the variation in permeability across
Kazhakuttam ward using IDW interpolation technique. The
permeability varied from 14.10% to 19.24 % acrossthearea.
Permeability test result was obtained from theDirectorateof
Soil Survey and Conservation under Survey of India,
Vazhuthacaud.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2905
Fig -7: Thematic map for permeability variation
Fig. 8 shows the variation in shear strength across
Kazhakuttam ward using IDW interpolation technique. The
shear strength varied from 39.86% to 123.37% across the
area. The percentage was found using Unconfined
compressive strength test (IS 2720 Part10).
Fig -8: Thematic map for shear strength variation
Fig. 9 shows the variation in liquid limit across
Kazhakuttam ward using IDW interpolation technique. The
liquid limit varied from 0% to 47.34% across the area. The
percentage was found using Atterberg’stest(IS2720Part 5).
Fig -9: Thematic map for liquid limit variation
Fig -10: Thematic map for plastic limit variation
Fig. 10 shows the variation in plastic limit across
Kazhakuttam ward using IDW interpolation technique. The
plastic limit varied from 0% to 24.5% across the area. The
percentage was found using Atterberg’stest(IS2720Part 5).
Fig -11: Thematic map for shrinkage limit variation
Fig. 11 shows the variation in shrinkagelimitacross
Kazhakuttam ward using IDW interpolation technique. The
shrinkage limit varied from 0% to 14.52% across the area.
The percentage was found using Atterberg’s test (IS 2720
Part 5).
Fig -12: Thematic map for plasticity index variation
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2906
Fig. 12 shows the variation in plasticityindexacross
Kazhakuttam ward using IDW interpolation technique. The
plasticity index varied from 0% to 22.84% across the area.
The percentage was found using Atterberg’s test (IS 2720
Part 5).
3. CONCLUSIONS
Index and engineering properties of soils present
over Kazhakuttam regions was estimated for creating a
database and represent these properties in the form of soil
maps using Geographic Information System (GIS). Soil
samples from 10 different regions in Kazhakuttamwardwas
collected and tested as per IS specifications. Geographic
Information System (GIS) is cheaper and faster technique
than the traditional ones in delineating and mapping soil
properties. Such a soil map of Kazhakuttam city will be
beneficial for Consultancies, builders,geotechnical aspirants
and other related organizations.
 The soil types and properties of Kazhakuttam area
varied drastically from point to point. Sandy soil
was found in the coastal regions of Kazhakuttam
area whereas as we go farther from coastal area,
clayey soil was found.
 Similarly the index and engineering properties of
soil also varied widely form point to point.
 The thematic maps created usingArcMap10.2gives
an idea of the different properties of soil found in
the study area (Kazhakuttam ward).
 These maps also help in getting ideas of soil
properties at locations where soil samples are not
tested.
 This helps in the reduction of pre-construction
works in the study area by construction agencies as
they get an idea of the soil properties prevailing
over the area. Thus, reducing the cost and time for
soil investigation.
 The analysis demonstrated the capabilityofARCGIS
tools in visual representationofthespatial trendsof
different soil properties. IDW interpolation
techniques have been used to create thematic maps
of the data.
REFERENCES
[1] Aksoy, Ozsoy and Dirim (2009). “Soil mappingapproach
in GIS using Landsat Satellite Imagery and DEM data”,
African Journal of Agricultural Research,Vol.4,Issue11,
pp. 1295-1302.
[2] Aldakheel et. al. (2005). “Mapping of Salt-Affected Soils
of Irrigated Lands in Arid Regions usingRemoteSensing
and GIS”, IEEE Journal, Vol. 8, Issue 5, pp. 467-472.
[3] Ali and Koth (2010).“Use of soil data and GIS for soil
mapping and capability assessment”, Journal of nature
and science, Vol. 8, Issue 8, pp. 104-115.
[4] Bergaya and Lagaly. “General Introduction: Clays, Clay
minerals, and Clay science”, Handbook of Clay Science,
Developments in clay science. Vol. 1, pp. 1-18.
[5] Chen and Kulhawy (2014). “Characteristics and Inter-
correlations of Index Properties for Cohesionless
Gravelly Soils”, Geo Congress2014Technical Paper,Vol.
234, pp. 1-13.
[6] Dehni and Lounis (2012). “Remote sensing techniques
for salt affected soil mapping: Application to the Oran
region of Algeria”, The 1st International Seminar on
Water, Energy and Environment, Algeria, Vol. 33, pp.
188-198.
[7] Dewitte et. al. (2012). “Satellite remote sensing for soil
mapping in Africa : An overview”, Progress in Physical
Geography, Vol. 36, Issue 4, pp. 514-538.
[8] Dhayalan e. al. (2016). “Mapping and Analysis of Soil
Fertility Using Remote Sensing and GIS; A Case Study of
Tharangambadi Taluk, Nagappatinam District”,
International Journal of Engineering Research and
General Science, Vol. 4, Issue 3, pp. 218-231.
[9] Forkuo and Nketia (2011). “Digital soil mapping in GIS
environment for crop land suitability analysis”,
International Journal of GeomaticsandGeosciences, Vol.
2, Issue 1, pp. 133-146.
[10] Gharechelou et. al. (2016). “Soil moisturemappinginan
arid area using a land unit area sampling approach and
geostatistical interpolation techniques”, ISPRS
International Journal of Geo Information, Vol. 5, Issue
35, pp.1-17.
[11] Glowienka et. al. (2016). “Application ofGISandRemote
sensing techniques in multitemporal analyses of soil
properties in the Foreland of the Carpathians”, IOP
Conference Series: Earth and Environmental Sciences,
Vol. 44, Issue 5, pp. 1-6.
[12] Gorji et. al. (2015). “Soil salinity prediction, monitoring
and mapping using modern technologies”, World
Multidisplinary Earth Sciences Symposium, Vol. 15, pp.
507-512.
[13] Islam et. al. (2017). “Application of GIS in general soil
mapping of Bangladesh”, Journal of Geographic
Information System, Vol. 9, pp. 604-621.
[14] Kumar S. (2013). “Soil organic carbon mapping at field
and regional scales using GIS and remote sensing
applications”, AdvancesinCropScienceand Technology,
Vol. 1, Issue 2, pp.1-2.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2907
[15] Manchada, Kudrat and Tiwari (2002). “Soil survey and
mapping using remote sensing”, International Societyof
Tropical Ecology, Vol. 43, Issue 1, pp. 61-74.
[16] Mhaske and Choudhury (2011). “GIS-GPS based map of
soil index properties for Mumbai” Geo Frontiers 2011,
pp. 2366-2375.
[17] Mhaske and Choudhury (2009). “Application ofGIS-GPS
for mapping soil index properties”, Indian Geotechnical
Conference 2009, Guntur, India, pp. 35-39.
[18] Mohamad and Ghani (2011). “The use of GIS for
geotechnical data processing andpresentation”,The2nd
Iternational Building Control Conference, Vol. 20, pp.
397-406.
[19] Oldak et. al. (2002). “Using GISinpassivemicrowavesoil
moisture mapping and geo-statistical analysis”,
International Journal on Geographic Information
Science, Vol. 16, Issue7, pp. 681-698.

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IRJET- Soil Property Mapping of Kazhakuttam Ward using Geographic Information System (GIS)

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2902 Soil Property Mapping of Kazhakuttam Ward using Geographic Information System (GIS) Swathi J.1, Rani V.2 1M. tech student, Department of Civil Engineering, Marian Engineering College, Kerala, India 2Associate Professor, Department of Civil Engineering, Marian Engineering College, Kerala, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Trivandrum being the capital city is one of the most developed cities in Kerala. Many major projects took birth here in the capital city during the last few years. One of the major cities in Trivandrum is Kazhakuttam which is now colloquially called as “New Trivandrum”. Such a growing city does not have a proper geodatabase which could make the civil engineering works easier. The main objectiveofthisstudy is to create a database of soil properties at 0.5m depth of Kazhakuttam area. Evaluation of soil properties is a verytime consuming process that also relies on the memory of the personnel that are responsibleformaintainingthe database. If such a geodatabase is available and easily accessible, itwill be of great advantage for civil engineering works especially geotechnical works. Hence this study aims to investigate the development of a Geographic Information System (GIS) to better manageand disseminatesoilsinformation, asdeveloped from soil test results. Key Words: Soil mapping, Geographic Information system, Digital Elevation Model 1. INTRODUCTION Kazhakuttam is a locality in Trivandrum city, the capital of Kerala. It is located on the national highway 66 on the way to Kollam from the city and has gained significance because of proximity to Vikram Sarabhai Space Centre, KINFRA Film and Video Park, Trivandrum International Stadium and Techno Park. Kazhakuttam is a legislative assembly constituency, whichiscurrentlybeingrepresented by Kadakampally Surendran. Kazhakuttam is a corporation area which consists of 3 wards viz.Kazhakuttamward(ward no.1), Chanthavila ward (ward no. 2) and Kattayikonam ward (ward no. 3). Kazhakuttamwardcomprisesofthemain city area including Kazhakuttam junction and other basic amenities like hospitals, police station, commercial shops, apartments and dwellings, etc. The geographic coordinates of the study area lies between 8:33’30”N to 8 :36’30”N latitude and 76:51’00”E to 76:53’30”E longitude. Soil samples from 10 different locations of Kazhakuttam ward were collected and tested. Soils can be mapped at a range of scales from very detailed at 1:1,250 to 1:5,000 by which the patternofsoilsin individual fields can be identified, through to scales of 1:500,000 to 1:500,000,000 which provide only a much generalized picture of the soils of a country or continent. 1.1 Soil Properties Soil is a natural material having variety of physical properties, most of which are not constant and it is varying from place to place. The properties of soil can be divided as index properties and engineering properties. The main engineering properties arepermeability,compressibilityand shear strength. Index properties of soils are those properties which are mainly used in the identification and classification of soils and help the geotechnical engineer in predicting the suitability of soils as foundation/construction material. Therefore the properties of soil such as specific gravity, moisture content, dry density, wet density and consistency limits such as liquid limit, plastic limits and shrinkage limits are the essential fordetermination of engineeringproperties of soil, which will help to geotechnical engineer for decision making process of suitability of soil as foundation materials or construction materials. Index properties of soil are the important parameters in geotechnical engineering and they are changing from place to place both along the depth and width of the stratum. If the properties of soil are properly studied and the results of soil exploration correctly understood and intelligently applied to the design and construction of earthworks and structural foundations, failures usually can be avoided. Any field or laboratory soil testing will provide result which is too specific for a particular location to generalize over an extended area. 1.2 Geographic Information System (GIS) Geographic information system (GIS) is a technological field that incorporates geographical features with tabular data in order to map, analyse, and assess real world problems. The key word to this technologyisgeography-this means that some portion of the data is spatial. . In other words, data that is some way referenced to locations on earth. Coupled with this data is usually tabular data known as attribute data. Attribute data can be generally defined as additional information about each of the special features. It is the partnership of these two data types that enablesGIS to be such an effective problem solving tool through special analysis. USGS defines a geographic information system as a computer based tool for mapping and analysing things that exist and events that happen on earth. GIS operatesonmany levels. On the most basic level, GIS technology is used as computer cartography that is for straight forward mapping.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2903 2. METHODOLOGY The GIS maps were created using the ArcMap 10.2, licensed version gis software of ESRI the free version of gisis QGIS which isalso very user friendly. The samplinglocations were plotted on the boundary map of Kazhakuttam ward. Digital elevation model of the study area was obtained and extracted from United States geological survey official website. From the DEM dataobtainedslopemapwascreated. The primary data (soil properties tested) of the study area with geographical coordinates was incorporated into GIS worksheet from excel file. Using spatial analyst tools, inverse distance weighted interpolation was done to depict the soil properties at locations where data are unavailable. Thus thematic maps of soil properties at different locations of Kazhakuttam ward was created. The soil samples were collected at 0.5m depth from 10 different sites in Kazhakuttamward.Fig.1showsthelocation of sampling points of Kazhakuttam ward. Fig -1: Thematic map showing sampling locations Fig -2: Digital Elevation Model of Kazhakuttam ward DEM is used to refer any digital representation of topographic surface and is used to determine the terrain attributes such as elevation at any point, slope and aspect. The higher the elevation regions are situated in the western part and lower elevation regions are situated on the eastern part of the area. Fig -3: Slope map of Kazhakuttam ward. Slope identifies the maximum rate of change, from each cell to its neighbours. An output slope raster dataset can be calculated as either a percentage of slopes or a degree of slope. The higher elevation regions are situated in the western part and lower the elevation are situated in the eastern part of the area. Fig. 3 shows the variation in slope in degrees in the study area. The soil samples were takenfrom10differentsitesacross the study area(Kazhakuttamward)at a depth of 0.5m below the ground surface. The top soil was removed to collect the soil at 0.5m depth. Thus the soil does not containplantdebris and other litters. The sample number along with name of the sitefrom the sample wascollected,geographiccoordinatesof the location and typeof soil prevailing over theareaisshown in Table 1. Table -1: Sampling sites Sample no. Site name S1 Chittattumukku S2 Menamkulam S3 Perumann road S4 Near Al - Saj Convention centre S5 Kazhakuttam Police Station S6 Vettu road junction S7 Kurisadi junction S8 KHRI S9 Kariyil S10 Near Ulloorkonam The soil properties like particle size (percentage of gravel, percentage of sand, percentage of silt and percentage of clay), natural moisture content, compaction characeristics
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2904 (maximum dry density and optimum moisture content), specific gravity, engineering properties (permeability and shear strength), consistency characteristics (liquid limit, plastic limit, shrinkage limit and plasticity index) were tested. Table 2 shows the sampling locatios and type of soil there. Table -2: Sampling location and type of soil Sample no. Latitude Longitude Type of soil S1 8:34’35.11” N 76:51’35.37” E SP S2 8:33’49.61” N 76:52’10.91” E SP S3 8:34’15.94” N 76:52’47.63” E CI S4 8:34’46.27” N 76:52’7.45” E CI S5 8:34’16.34” N 76:52’12.44” E SW S6 8:35’7.77” N 76:51’58.25” E CL S7 8:34’35.02” N 76:52’2.55” E CL S8 8:33’58.22” N 76:52’3.98” E CL S9 8: 34’7.06” N 76:51’53.31” E SW S10 8:34’28.88” N 76:52’30.54” E SC 3. RESULTS AND DISCUSSION The thematic maps of soil properties tested are shown below. The percentage gravelcontentvariedfrom0%to14% across the area. At 0.5m depth from 3 sampling locations gravel was found. The percentage ofsandvariedfrom10%to 100% across the area. At 0.5m depth all samples were found to have sand proportion. The percentage was found using Sieve Analysis Method (IS 2720 Part 4). The percentage of silt varied from 0% to 42% across the area. At 0.5m depth except at sample collected from Kazhakuttam police station, all other samples were found to have sand proportion. The percentageofclayvariedfrom0% to 68% across the area. The percentage was found using Hydrometer Analysis Method (IS 2720 Part 4). Fig. 4 shows the variation in natural water contentacross Kazhakuttam ward using IDW interpolation technique. The natural moisture content varied from 2% to 35.26% across the area. All samples had moisture content present in them. The percentage was found using oven drying method. Fig -4: Thematic map for natural water content variation Fig. 5 shows the variation in dry density across Kazhakuttam ward using DW interpolation technique. The dry density varied from 14.10% to 19.24 % across the area. The percentage was found using Compaction test (IS 2720 Part 7). Fig -5: Thematic map for dry density variation Fig. 6 shows the variation in specific gravity across Kazhakuttam ward using IDW interpolation technique. The specific gravity varied from 2.12% to 2.69 % acrossthearea. Fig -6: Thematic map for specific gravity variation Fig. 7 shows the variation in permeability across Kazhakuttam ward using IDW interpolation technique. The permeability varied from 14.10% to 19.24 % acrossthearea. Permeability test result was obtained from theDirectorateof Soil Survey and Conservation under Survey of India, Vazhuthacaud.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2905 Fig -7: Thematic map for permeability variation Fig. 8 shows the variation in shear strength across Kazhakuttam ward using IDW interpolation technique. The shear strength varied from 39.86% to 123.37% across the area. The percentage was found using Unconfined compressive strength test (IS 2720 Part10). Fig -8: Thematic map for shear strength variation Fig. 9 shows the variation in liquid limit across Kazhakuttam ward using IDW interpolation technique. The liquid limit varied from 0% to 47.34% across the area. The percentage was found using Atterberg’stest(IS2720Part 5). Fig -9: Thematic map for liquid limit variation Fig -10: Thematic map for plastic limit variation Fig. 10 shows the variation in plastic limit across Kazhakuttam ward using IDW interpolation technique. The plastic limit varied from 0% to 24.5% across the area. The percentage was found using Atterberg’stest(IS2720Part 5). Fig -11: Thematic map for shrinkage limit variation Fig. 11 shows the variation in shrinkagelimitacross Kazhakuttam ward using IDW interpolation technique. The shrinkage limit varied from 0% to 14.52% across the area. The percentage was found using Atterberg’s test (IS 2720 Part 5). Fig -12: Thematic map for plasticity index variation
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2906 Fig. 12 shows the variation in plasticityindexacross Kazhakuttam ward using IDW interpolation technique. The plasticity index varied from 0% to 22.84% across the area. The percentage was found using Atterberg’s test (IS 2720 Part 5). 3. CONCLUSIONS Index and engineering properties of soils present over Kazhakuttam regions was estimated for creating a database and represent these properties in the form of soil maps using Geographic Information System (GIS). Soil samples from 10 different regions in Kazhakuttamwardwas collected and tested as per IS specifications. Geographic Information System (GIS) is cheaper and faster technique than the traditional ones in delineating and mapping soil properties. Such a soil map of Kazhakuttam city will be beneficial for Consultancies, builders,geotechnical aspirants and other related organizations.  The soil types and properties of Kazhakuttam area varied drastically from point to point. Sandy soil was found in the coastal regions of Kazhakuttam area whereas as we go farther from coastal area, clayey soil was found.  Similarly the index and engineering properties of soil also varied widely form point to point.  The thematic maps created usingArcMap10.2gives an idea of the different properties of soil found in the study area (Kazhakuttam ward).  These maps also help in getting ideas of soil properties at locations where soil samples are not tested.  This helps in the reduction of pre-construction works in the study area by construction agencies as they get an idea of the soil properties prevailing over the area. Thus, reducing the cost and time for soil investigation.  The analysis demonstrated the capabilityofARCGIS tools in visual representationofthespatial trendsof different soil properties. IDW interpolation techniques have been used to create thematic maps of the data. REFERENCES [1] Aksoy, Ozsoy and Dirim (2009). “Soil mappingapproach in GIS using Landsat Satellite Imagery and DEM data”, African Journal of Agricultural Research,Vol.4,Issue11, pp. 1295-1302. [2] Aldakheel et. al. (2005). “Mapping of Salt-Affected Soils of Irrigated Lands in Arid Regions usingRemoteSensing and GIS”, IEEE Journal, Vol. 8, Issue 5, pp. 467-472. [3] Ali and Koth (2010).“Use of soil data and GIS for soil mapping and capability assessment”, Journal of nature and science, Vol. 8, Issue 8, pp. 104-115. [4] Bergaya and Lagaly. “General Introduction: Clays, Clay minerals, and Clay science”, Handbook of Clay Science, Developments in clay science. Vol. 1, pp. 1-18. [5] Chen and Kulhawy (2014). “Characteristics and Inter- correlations of Index Properties for Cohesionless Gravelly Soils”, Geo Congress2014Technical Paper,Vol. 234, pp. 1-13. [6] Dehni and Lounis (2012). “Remote sensing techniques for salt affected soil mapping: Application to the Oran region of Algeria”, The 1st International Seminar on Water, Energy and Environment, Algeria, Vol. 33, pp. 188-198. [7] Dewitte et. al. (2012). “Satellite remote sensing for soil mapping in Africa : An overview”, Progress in Physical Geography, Vol. 36, Issue 4, pp. 514-538. [8] Dhayalan e. al. (2016). “Mapping and Analysis of Soil Fertility Using Remote Sensing and GIS; A Case Study of Tharangambadi Taluk, Nagappatinam District”, International Journal of Engineering Research and General Science, Vol. 4, Issue 3, pp. 218-231. [9] Forkuo and Nketia (2011). “Digital soil mapping in GIS environment for crop land suitability analysis”, International Journal of GeomaticsandGeosciences, Vol. 2, Issue 1, pp. 133-146. [10] Gharechelou et. al. (2016). “Soil moisturemappinginan arid area using a land unit area sampling approach and geostatistical interpolation techniques”, ISPRS International Journal of Geo Information, Vol. 5, Issue 35, pp.1-17. [11] Glowienka et. al. (2016). “Application ofGISandRemote sensing techniques in multitemporal analyses of soil properties in the Foreland of the Carpathians”, IOP Conference Series: Earth and Environmental Sciences, Vol. 44, Issue 5, pp. 1-6. [12] Gorji et. al. (2015). “Soil salinity prediction, monitoring and mapping using modern technologies”, World Multidisplinary Earth Sciences Symposium, Vol. 15, pp. 507-512. [13] Islam et. al. (2017). “Application of GIS in general soil mapping of Bangladesh”, Journal of Geographic Information System, Vol. 9, pp. 604-621. [14] Kumar S. (2013). “Soil organic carbon mapping at field and regional scales using GIS and remote sensing applications”, AdvancesinCropScienceand Technology, Vol. 1, Issue 2, pp.1-2.
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2907 [15] Manchada, Kudrat and Tiwari (2002). “Soil survey and mapping using remote sensing”, International Societyof Tropical Ecology, Vol. 43, Issue 1, pp. 61-74. [16] Mhaske and Choudhury (2011). “GIS-GPS based map of soil index properties for Mumbai” Geo Frontiers 2011, pp. 2366-2375. [17] Mhaske and Choudhury (2009). “Application ofGIS-GPS for mapping soil index properties”, Indian Geotechnical Conference 2009, Guntur, India, pp. 35-39. [18] Mohamad and Ghani (2011). “The use of GIS for geotechnical data processing andpresentation”,The2nd Iternational Building Control Conference, Vol. 20, pp. 397-406. [19] Oldak et. al. (2002). “Using GISinpassivemicrowavesoil moisture mapping and geo-statistical analysis”, International Journal on Geographic Information Science, Vol. 16, Issue7, pp. 681-698.