Seasonal Water Quality Assessment Using Remote Sensing in Al Rafisah Dam, United Arab Emirates

Afra Alserkal, Amel Alblooshi, Rami Al-Ruzouq

2024

Abstract

Water bodies differ in their chemical, biological and physical properties. These properties determine their quality, and sequentially, their applications. Conventional surface water quality analysis involves timely, costly, and intensive field and laboratory work. Remote sensing coupled with a geographic information management system (GIS) can offer an alternative to estimating water quality in remote or inaccessible locations. The main objectives of this study are to estimate chlorophyll-a, colour dissolved organic matter (CDOM), total suspended matter (TSM) and turbidity using remote sensing methods and to display them in temporal distribution maps. In this research, quantitative methodology was used to calculate the four water quality parameters using Sentinel-2 images of the Al Rafisah Dam in Sharjah, United Arab Emirates during the months of February, April, August and December of 2021. The Case 2 Regional Coast Colour (C2RCC) processor in the Sentinel Application Platform (SNAP) developed the equations and performed the calculations for chl-a, CDOM and TSM. ArcGIS Pro software was used for estimating turbidity with the normalized difference turbidity index (NDTI), as well as creating the spatio-temporal distribution maps. Overall comparative evaluation of the concentration patterns showed that the parameters selected for the study are interrelated, yet may vary depending on seasonal variations and human activities. Water quality research using remote sensing and GIS plays an important role in encouraging researchers to conduct more studies in unattainable sites or understudied areas such as the Al Rafisah Dam.

Paper Citation

in Harvard Style

Alserkal A., Alblooshi A. and Al-Ruzouq R. (2024). Seasonal Water Quality Assessment Using Remote Sensing in Al Rafisah Dam, United Arab Emirates. In Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM; ISBN 978-989-758-694-1, SciTePress, pages 112-119. DOI: 10.5220/0012563900003696

in Bibtex Style

@conference{gistam24,
author={Afra Alserkal and Amel Alblooshi and Rami Al-Ruzouq},
title={Seasonal Water Quality Assessment Using Remote Sensing in Al Rafisah Dam, United Arab Emirates},
booktitle={Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM},
year={2024},
pages={112-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012563900003696},
isbn={978-989-758-694-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM
TI - Seasonal Water Quality Assessment Using Remote Sensing in Al Rafisah Dam, United Arab Emirates
SN - 978-989-758-694-1
AU - Alserkal A.
AU - Alblooshi A.
AU - Al-Ruzouq R.
PY - 2024
SP - 112
EP - 119
DO - 10.5220/0012563900003696
PB - SciTePress