Mathematical Modeling and Parameter Estimation for Water Quality Management System. Summer Internship report May 15, 2014– July 15, 2014 Student: Kamal Pradhan (12BTCSE04) Program: B.Tech Computer Sc. Department: SUIIT Supervisor: Dr. Nihar Satapathy Project name: AquaSense SAMBALPUR UNIVERSITY INSTITUTE OF INFORMATION TECHNOLOGY Submitted by: Kamal Pradhan, B.Tech CSE. Guided By: Dr. Nihar Satapathy H.O.D, Dept .of Mathematics, Sambalpur University
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Mathematical modeling and parameter estimation for water quality management system.
This report describes various problem solving techniques in mathematical modeling for calculating various parameters of water e.g. temperature, pH, Dissolved oxygen. A mathematical model provides the ability to predict the contaminant concentration levels of a river. Here we are using an advection-diffusion equation as our mathematical model. The numerical solution of equation is calculated using Matlab & Mathematica. Parameter estimation is necessary in water modeling to predict the different parameters of water at different point with minimal errors. So here we use 2D & 3D interpolation technique for parameter estimation.
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Mathematical Modeling and Parameter Estimation for
Water Quality Management System.
Summer Internship report May 15, 2014– July 15, 2014
Student: Kamal Pradhan (12BTCSE04)
Program: B.Tech Computer Sc.
Department: SUIIT
Supervisor: Dr. Nihar Satapathy
Project name: AquaSense
SAMBALPUR UNIVERSITY INSTITUTE OF INFORMATION TECHNOLOGY
Submitted by: Kamal Pradhan, B.Tech CSE.
Guided By:
Dr. Nihar Satapathy H.O.D, Dept .of Mathematics,
Sambalpur University
AquaSense, Internship 2014
2 Acknowledgement
First I would like to thank Dr. Nihar Satapathy, H.O.D Dept. of Mathematics and P.I (AquaSense),
Sambalpur University for giving me the opportunity to do an internship within the organization. For me it was a
unique experience to be in Sambalpur and to study an interesting subject. It also helped to get back my interest in
ecological research and to have new plans for my future career. I also would like to thank all the people that
worked in the lab of ITRA in Sambalpur University Institute of Information Technology. With their patience and
openness they created an enjoyable working environment. Furthermore I want to thank all the Research fellows
and students, with whom I did the fieldwork. At last I would like to thank the ITRA Group, especially Dr. Nihar
Satapathy, Principal Investigator of the project AquaSense, to allow me to do this interesting internship.
AquaSense, Internship 2014
3 Abstract
This report describes various problem solving techniques in mathematical modeling for calculating
various parameters of water e.g. temperature, pH, Dissolved oxygen. A mathematical model provides
the ability to predict the contaminant concentration levels of a river. Here we are using an
advection-diffusion equation as our mathematical model. The numerical solution of equation
is calculated using Matlab & Mathematica. Parameter estimation is necessary in water
modeling to predict the different parameters of water at different point with minimal errors. So
here we use 2D & 3D interpolation technique for parameter estimation.
Introduction
This report is a short description of my two month internship carried out as a component of the B.Tech in computer science. The internship was carried out within the organization Sambalpur University Institute of Information Technology in from May 15-July 15 2014. Since my I am interested in Programming and quite acquainted with mathematical toolbox such as matlab and mathematica, the work was concentrated on solving complex mathematical problems programmatically. This internship report contains my activities that have contributed to project. In the following chapter a description of the organization ITRA and the activities is given. After this a reflection on my functioning, the unexpected circumstances and the learning goals achieved during the internship are described.
AquaSense, Internship 2014
4 Description of the internship
1. The organization ITRA
IT Research Academy (ITRA) is a National Programme initiated by Department of Electronics and Information Technology (DeitY), Ministry of Communications and Information Technology (MCIT), Government of India, aimed at building a national resource for advancing the quality and quantity of R&D in Information and Communications Technologies and Electronics (IT) and its applications at a steadily growing number of academic and research institutions, while strengthening academic culture of IT based problem solving and societal development. ITRA is currently operating as a Division of Media Lab Asia (MLAsia), a Section-25 not-for-profit organization of DeitY.
2. About the project AquaSense
To develop an indigenous, intelligent and adaptive decision support system for on-line remote
monitoring of the water flow and water quality across the wireless sensor zone to generate data
pertaining to utilization of water and raising alerts in terms of mails/messages/alarm following any
violation in the safety norms for the drinking water quality and usage of amount of water. This proposed
research objective is also to provide simple, efficient, cost effective and socially acceptable means to
detect and analyze water bodies and distribution regularly and automatically
to design and develop wireless sensing hardware for collecting hydraulic parameters like pressure, flow
and volume, and water quality parameters like Salinity, Color, pH, DO, Turbidity, Temperature,
Fluoride, Arsenic, Mercury, Lead, Selenium, Nitrate, Iron, Manganese and pathogens like Algal toxins
(cyan bacteria) etc
to design wireless sensor network zone architecture for drinking water flow and quality monitoring
to develop the interface modules (both hardware and software) for the wireless sensor nodes and probes
to develop an user interface for logging data after data fusion from the different sensor nodes
To design a database schema for storing on-line data received from the sensors.
a data collection and visualization infrastructure
to develop modeling and analysis tools (on-line estimation and prediction of the water distribution
system’s hydraulic state and leak/burst detection and localization)
to develop a Rule-base by incorporating the feedback of users to include the quality perception of users
based on the locality and preferences through machine learning algorithms
to develop a knowledge-base for different regions and applications
to develop an expert system for adaptive setting up of new bench mark for water quality of drinking