Water Quality Modelling Using Statistical Analysis and Remote Sensing

ISBN-13: 9786202304122 / Angielski / Miękka / 2017 / 280 str.

Mohammad Hajigholizadeh

Opis

The overall objective of this research is to understand the spatiotemporal dynamics of water quality parameters in different water bodies of South Florida. Two major approaches (multivariate statistical techniques and remote sensing) were used in this study. Multivariate statistical techniques include cluster analysis (CA), principal component analysis (PCA), factor analysis (FA), discriminant analysis (DA), absolute principal component score-multiple linear regression (APCS-MLR) and PMF receptor modeling techniques were used to assess the water quality and identify and quantify the potential pollution sources affecting the water quality of three major rivers of South Florida. Also, the bio-physical parameters associated with the water quality of the two important water bodies of Lake Okeechobee and Florida Bay were investigated based on remotely sensed data. The principal objective of this part of the study is to monitor and assess the spatial and temporal changes of water quality using the application of integrated remote sensing, GIS data, and statistical techniques.

O autorze

Dr. Mohammad Hajigholizadeh is currently a water resources engineer at Ch2M Hill. He received his Ph.D Civil and Environmental Engineering with concentration on water resources from Florida International University (FIU). His achievements include 12 papers published in journals and 9 papers presented in conferences.