Abstract

This research aims at assessing the quality of water in India for the case of the 100 smart cities initiative in 2015 (Hoelscher, 2015) and propose which cities are eligible for the smart city design. K-mean and Hierarchical clustering techniques are used to divide 614 water monitoring locations in India into 6 different clusters and WHO water quality parameters are used as reference to suggest eligibility of each monitoring location for becoming a smart city. Results of this study can help planners to speed up the process of assessment and take necessary actions to enhance the water quality. The information is collected from Water Quality Database from the Central Pollution Control Board (CPCB) website as all the updated data is available on the website. The version used for this research paper is from 2021 which is the latest data as of today which will allow me to get the related result to be used in the future. In this report I used SPSS for the data analysis to specifically do both clustering techniques which are K-mean and Hierarchical clustering technique.

Publication Date

2-15-2023

Document Type

Master's Project

Student Type

Graduate

Degree Name

Professional Studies - City Sciences (MS)

Department, Program, or Center

Graduate Programs & Research

Advisor

Sanjay Modak

Advisor/Committee Member

Boutheina Tlili

Campus

RIT Dubai

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