Evaluation of Mariut Lake water quality using Hyperspectral Remote Sensing and laboratory works

Abstract

It would be an advantage if there were a measurement method, which would provide more detailed spatial information on water contaminations at low cost. Hyperspectral Remote Sensing has a possibility for gathering detailed: contamination information rapidly and inexpensively. This study includes the possibility of assessing heavy metal contamination of water in Mariut Lake and predicting models describe their concentration using spectrum data taken by portable FieldSpec_3 ASD Spectroradiometer. The main objectives of this research are assessing water contamination by heavy metal in Mariut Lake using laboratory analysis and developing a predictive model for water pollution based on the spectral characteristics and lab data obtained. It is resulted that Pb, Ni and Cr concentrations exceed permissible limit of USEPA. Also, the spectral reflectance of (6–13, 16, 19 and 20) at wavelength 582–653 nm is related to the spectral behavior of the high chlorophyll concentration. Also there are 7 samples (1, 3, 6, 10, 11, 19 and 21) showed high and low values of turbidity. As the suspended sediment concentration increased, reflectance also increased at all wavelengths between 400 and 850 nm. It is concluded that most of models predicting heavy metals concentration using reflectance spectroscopy have high significant correlation ranged from 0.27 to 0.97.

Keywords

• Hyperspectral
• Remote sensing
• Modeling
• Water characteristics
• Mariut Lake