SPATIAL AND SEASONAL VARIATION IN GROUND WATER QUALITY OF RIVER PALAR BASIN USING MULTIVARIATE TECHNIQUES
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 4
Abstract
In this study, spatial and seasonal variation in ground water quality of palar river basin using multivariate statistical techniques, such as cluster analysis, principle component analysis and factor analysis. water quality data collected from 8 sampling station in river during monsoon(October,November,december) and post monsoon(January,February,march) were analyzed for 13 parameters(pH, turbidity, Electrical conductivity (EC), total solid(TS),Total Dissolved solids (TDS), Total Hardness, calcium, magnesium, chlorides, Sulphates, alkalinity, dissolved oxygen, ammonia). Cluster analysis grouped eight sampling stations into three clusters of similar water quality features and thereupon the whole river basin may be categorized into three zones, i.e. low, moderate and high pollution. The principle component analysis/factor analysis assisted to extract and recognize the factors or origins responsible for water quality variations in each month. The inorganic parameters total solid,total dissolved solid,total hardness,electrical conductivity were the most significant parameter contributing variations in all month.
Authors and Affiliations
L. Sankar*
DYNAMICS AND FAULT DETECTION IN ROTOR BALL BEARING SYSTEM
The dynamics of high speed rotating machinery plays an important role in the modern world. In the design of complex mechanical components and rotating machines, such as turbines, compressors , electrical machines, c...
The Logic of Good and Bad
This paper is designed to solve a problem of artificial intelligence where the purpose is to develop a generic idea to solve the subjective issue of Good and Bad. If generic idea is not found then it would be impo...
SENTIMENTAL ANALYSIS USING SOCIAL NETWORKING SITES
This paper is concerned with Social Network Mining it is the concept of mining Social Networking Sites and Blogs, extract the required data from it and predict useful information that exists in the collected conte...
CLASSIFYING THE STUDENTS AT RISK THROUGH THE PERFORMANCE REFLECTED IN PRE-REQUISITE AND NATURE OF MODULE IN HIGHER EDUCATIONAL SYSTEM
Educational institutions are growing diametrically to stand internationally in providing honorable merit employable graduates. Future prediction should be essential factor in an institute to take additional effort...
Analysis and Design of Earthquake Resistant Multi-Storied Braced R.C.C. Building using NISA Software
In the developing world, advanced building construction technology plays vital role. In the present work the construction of multistoried R.C.C. building with the help of NISA software to match the construction t...