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K. Ambiga ¹, R. Annadurai ¹, R. Vinayagamoorthy ²

Affiliations
1 Department of Civil Engineering, SRM University - 603203, Chennai, Tamilnadu, IN
2 Department of Mechanical Engineering, SCSVMV University, Kanchipuram - 631561, Tamilnadu, IN

Abstract

Objectives: To determine the chromium and nitrate pollutants in groundwater and combined with DRASTIC Maps. Methods/ Statistical analysis: Thirty five groundwater samples taken from bore and open wells are collected and analyzed by physicchemical parameter and heavy metals. This groundwater quality data are interconnected with DRASTIC features. Findings: From the water quality data, found two major pollutants namely chromium and nitrate due to the presence of tannery industries in the study area causing human health, animals, plants and skin diseases. Using seven features, we assigned three categories such as ranges, ratings and weight to find out DRASTIC index maps ranging from 58 to 699 being very low to very high. These maps are combined with the pollutant values to find out the spatial distribution. Application/Improvements: Fully control the groundwater pollution present in the study area that can be adopted for any suitable remedial measures.

Keywords

Chromium, DRASTIC Index, GIS (Geographic Information System), Nitrate, Ranipet Area.

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S. Durgadevagi ¹, R. Annadurai ¹, Mohan Meenu ¹

Affiliations
1 Department of Civil Engineering, SRM University, SRM Nagar, Potheri, Kattankulathur - 603203, Kancheepuram District, Tamil Nadu, IN

Abstract

Groundwater is an important source of drinking water especially in rural areas of Tamil Nadu. Over exploitation of groundwater for industrial use has become a major challenge. Therefore, it is very important to assess the quality of groundwater. The present study is about the geostatistical analysis of groundwater quality for SIPCOT Industrial estate, Perundurai, Erode, where Groundwater is the main source of water for drinking and irrigation purpose. The aim of the study is to map the current situation of groundwater quality in the study area. The groundwater samples collected from 35 wells in and around the SIPCOT industrial estate are used for this purpose. The major water quality parameters such as pH, EC, TDS, TA, TH, Ca, Mg, Na, K, F, Sulfates, Nitrites, Nitrates, Chlorine, Carbonate, Bicarbonate, Sodium absorption ratio, Residual sodium carbonate, and Sodium have been estimated for all the samples and the results were compared with the BIS standards. The spatial distribution map of these groundwater quality parameters were derived and integrated with WQI through GIS. GIS is used as a tool for analysis of spatial distribution of water quality. The resultant map shows the Water quality index for both pre monsoon and post monsoon season of the study area.

Keywords

BIS Standards, GIS, Groundwater Quality, Spatial Variation, Water Quality Index

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Sachikanta Nanda ¹, V. Yogesh Palanivel ², R. Annadurai ²

Affiliations
1 Department of Civil engineering, SRM University, Kattankulathur, Kanchipuram − 603203, Chennai,Tamil Nadu,, IN
2 Department of Civil engineering, SRM University, Kattankulathur, Kanchipuram − 603203, Chennai,Tamil Nadu, IN

Abstract

Objectives: The Major objective of this study is to delineate the wetlands using the advanced image processing techniques and study the likelihood of these techniques for the mapping the real extent of wetlands on multi-temporal Lands at data. Methods/Statistical Analysis: The object based image analysis is based on the information of image objects rather than individual pixels. eCognition software is used for object oriented image analysis. The development of the objects and subsequent classification is achieved by multi resolution dissection using fuzzy logic approach1. The support vector machine is one of the supervised classification method is achieved by providing training sets. Findings: The study has been done from the year 1997 to 2014 for the changes in wetlands and their corresponding changes have been observed. The decrease in the areal extent of wetlands has been observed which is due to declining in the annual rainfall,population growth, rapid urbanization and industrialization over decades. It is observed that the classification by Object Based Image Analysis has outperformed the classification performed by SVM. The overall accuracy by this techniques is 76.01%, 75.02%, 77.80%, 76.83% for the data 1997, 2006, 2009, 2014 respectively while the accuracy is 94.2%, 93.2% ,93.8%, 93.1% respectively when classification is performed by object based image analysis. The areal extent of wetlands extracted by Support vector machine in Sq.km is 401.87, 381.96, 263.02, and 147.89 while they are 469.77, 406.46, 309.74 and 155.79 when extracted by object based image analysis for the year 1997, 2006, 2009 and 2014 respectively. Application/Improvements: The changes detected in wetlands over years can be used for the analysis of groundwater recharge, ecosystem & species growth etc.

Keywords

Fuzzy, Landsat, Multi-Temporal, Object Based Image Analysis, Support Vector Machine

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Manisha Gunturi ¹, P. T. Ravichandran ¹, R. Annadurai ¹, K. Divya Krishnan ¹

Affiliations
1 Department of Civil Engineering, SRM University, Kattankulathur, IN

Abstract

Many ground improvement techniques have been evolved in the past decade in order to reduce the potential of severity of the expansive soils. Out of those techniques, soil stabilization is the most effective technique. This paper presents results of the investigation carried out to stabilize an expansive soil using RBI grade 81 stabilizer. Free swell index, CBR and SEM analysis were carried out on both untreated and treated soils. There was a considerable reduction in swell potential and an increase in the strength of the soil with the addition of stabilizer.

Keywords

RBI Grade 81, Free Swell Index, CBR and SEM.

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K. Divya Krishnan ¹, V. Janani ¹, P. T. Ravichandran ¹, R. Annadurai ¹, Manisha Gunturi ¹

Affiliations
1 Department of Civil Engineering, SRM University, Kattankulathur, IN

Abstract

The results of the laboratory studies undertaken to investigate the effect of PhosphoGypsum (PG) with Fly Ash (FA) on geotechnical properties of clayey soils for soil stabilization purpose are being presented in this paper. The test results on clayey soil treated with different dosages of stabilizer shows that the increase in PG with FA content increases the volume stability as well as the strength of the soil. Observations are made for the changes in the properties of the soils such as Unconfined compressive strength (UCS) test and microstuctural analysis using SEM and EDS results. The study on feasibility of PG and FA for increasing the strength and microstructural development of clayey soils is being carried out thereby proposing an effective solution for the conventional problem of waste management.

Keywords

Fly Ash, Phosphogypsum, UCS, SEM, EDS.

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K. K. Barik ¹, R. Annadurai ¹, S. R. Panda ², J. K. Tripathy ², D. Mitra ³

Affiliations
1 School of Civil Engineering, SRM University, Chennai-603203, IN
2 Department of Earth Sciences, Sambalpur University, Burla-768019, IN
3 Indian Institute of Remote Sensing, ISRO, Dehradun-248001, IN

Abstract

The present study illustrates the integral approach of remote sensing and GIS for the assessment of coastal environment of a part of coastal Odisha. Multispectral and multi-temporal Landsat satellite imageries along with Linear Imaging Self scanning Sensor (LISS IV) data were used to carry out this piece of work. In this paper, an attempt has been made to study the coastal dynamics i.e., landuse/landcover (LULC), erosion and accretion of a part of Odisha coast (Baleswar, Bhadrak, Kendrapara and Jagatsinghpur districts). Supervised classification adopting maximum likelihood method was applied to analyze this work. The study resulted in different classes like Sand, mangroves, wetland, Plantation with settlement, forest, agricultural land etc. The LULC map showed that the area under plantation with settlement was larger than any other class and it also showed reduction of agricultural land in all the districts of the coastal environment. Similarly, mangroves increased in all the coastal districts. Shoreline changes (Erosion and accretion) were identified through maximum likelihood method. The analysis of LULC and shoreline changes in the study area revealed significant variations. The result showed increase in plantation with settlement and decrease in agricultural land. The map prepared for this research will contribute to both the landuse planner as well as the coastal planners for shoreline protection measurement.

Keywords

LULC, Erosion, Accretion, LISS IV, Odisha Coast.

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