TY - GEN
T1 - The long-Term effect of brine discharge on the Arabian Gulf waters
AU - Moktar, Yossra M.
AU - Walter, Isabela L.R.
AU - Al Shehhi, Maryam R.
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2021
Y1 - 2021
N2 - The Arabian Gulf is characterized by high water scarcity and quickly growing populations over the years. This led to increase of desalination plants in the coastal areas surrounding it. The aim of this paper is to study the effect of the brine discharge from the desalination plant on the water quality of the Gulf over the years. Remote sensing data was collected for Chlorophyll-A (Chl-A) and Sea Surface Temperature (SST) for the period from 2002 to 2020, while Sea Surface Salinity (SSS) was tracked from 2010 to 2019, obtained from SMOS. Anomalies' graphs for each parameter were obtained and K-mean clustering was used. Additionally, seasonal Mann Kendall Test and time-series analysis were performed at three desalination plants for SST prediction. SST has generally increased especially on the coast inside and outside the Gulf, As for Chl-A, it had a less uniform change, but it had shown an increase outside the Gulf and a decrease inside it with the exception of some coastal areas. K-means clustering generated a best fit with 7 clusters on the map. The most predominant clusters were 1, 3, 4, 6, 7 representing the east of the gulf and the simulated area outside the gulf, coastal areas inside the gulf, the western side of the gulf, and the neck of the gulf and the coastal areas. It can be concluded that there are changes in SSS, Chl-A and SST over recent years in the Gulf. Moreover, SSS data needs further investigation with higher resolution and model enhancement.
AB - The Arabian Gulf is characterized by high water scarcity and quickly growing populations over the years. This led to increase of desalination plants in the coastal areas surrounding it. The aim of this paper is to study the effect of the brine discharge from the desalination plant on the water quality of the Gulf over the years. Remote sensing data was collected for Chlorophyll-A (Chl-A) and Sea Surface Temperature (SST) for the period from 2002 to 2020, while Sea Surface Salinity (SSS) was tracked from 2010 to 2019, obtained from SMOS. Anomalies' graphs for each parameter were obtained and K-mean clustering was used. Additionally, seasonal Mann Kendall Test and time-series analysis were performed at three desalination plants for SST prediction. SST has generally increased especially on the coast inside and outside the Gulf, As for Chl-A, it had a less uniform change, but it had shown an increase outside the Gulf and a decrease inside it with the exception of some coastal areas. K-means clustering generated a best fit with 7 clusters on the map. The most predominant clusters were 1, 3, 4, 6, 7 representing the east of the gulf and the simulated area outside the gulf, coastal areas inside the gulf, the western side of the gulf, and the neck of the gulf and the coastal areas. It can be concluded that there are changes in SSS, Chl-A and SST over recent years in the Gulf. Moreover, SSS data needs further investigation with higher resolution and model enhancement.
UR - http://www.scopus.com/inward/record.url?scp=85118569791&partnerID=8YFLogxK
U2 - 10.1117/12.2600014
DO - 10.1117/12.2600014
M3 - Conference contribution
AN - SCOPUS:85118569791
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2021
A2 - Bostater, Charles R.
A2 - Neyt, Xavier
PB - SPIE
T2 - Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2021
Y2 - 13 September 2021 through 17 September 2021
ER -