This study focused on using ASTER satellite data to measure temperature and electrical conductivity in Dez Dam reservoir. Temperature and conductivity models were developed that explained 93% and 76% of the variability, respectively. Spatial analyses revealed relationships between these water quality parameters across the reservoir surface. Remote sensing and GIS integration allowed monitoring water quality through analysis of remotely sensed data.
1. Abstract
Environment, chemistry and water resource engineering researchers have spent a
lot of time on studying water quality and its treatment depending on the pollution
type and distribution pattern. Different sciences combined together, tried to identify
the origin of water pollution, and to determine the level of water polution, using
various methods such as in-situ measurmenet and standard tests on samples.
With the advancement of technology, the application of other sciences in this area is
increasing; as in many countries, remote sensing methods and using remotely sensed
data to obtain raw data to monitor water quality, is a common method. High
resolution multispectral sensors have provided the possibility of remote sensing
measurements in meter scale on the field. Geospatial Information System (GIS),
play an important role in the analysis of the above data and its optimal presentation.
Ease of use of remotely sensed data in GIS, and capability of processing and
analysis of information system, are of the advantages of the combination of these
two methods.
This study has focused on the application of ASTER satellite data in producing
temperature and electrical conductivity in Dez dam and different spatial analysis of
data with optimal display in GIS. Modeling of electrical conductivity and
temperature data, was done considering R2
=0.93 and R2
=0.76, respectively.
Different spatial analyses show the spatial relation of the mentioned parameters at
the surface of the dam reservoir.
Key words: Remote Sensing, GIS, Spatial Analysis, Water Quality, Dez Dam
2. Shahid Rajaee Teacher Training University
Faculty of Civil Engineering
Detection, Modeling and analysis of pollution of water
resources by means of integration of Remote Sensing
and Geospatial Information System
Case Study: Dez Dam
By:
Zinat Farhang
Supervisors:
Dr. Abbass Malian
Dr. Hani Rezayan
&
Adviser:
Dr. Mohammad Sakizadeh
A thesis submitted to the Graduate Studies Office in partial fulfillment of
the requirements for the degree of Master of Science in
Geographic Information System
March 2014
