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Revealed by satellites: Long-term trends of coastal water quality in Qatar

Cheng Xue, a postdoctoral scholar in the Optical Oceanography Lab at USF CMS, is the lead author on a recent article published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. The figure above shows satellite images of Qatari coastal waters (left) and the floating algae scums of 2017 (right). Courtesy of Cheng Xue.

IMAGE ABOVE: Cheng Xue, a postdoctoral scholar in the at USF CMS, is the lead author on a recent article published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. The figure above shows satellite images of Qatari coastal waters (left) and the floating algae scums of 2017 (right). Courtesy of Cheng Xue.

Cheng Xue, postdoctoral scholar at USF CMS

Cheng Xue, postdoctoral scholar at USF CMS

“Qatar in the Arabian/Persian Gulf is one of the countries with the fastest economic growth and relies on seawater as its most important water source. The country’s fast development caused concerns about its coastal water quality because these waters are under the pressure of harmful algal blooms, ocean warming, hypoxia, and coastal pollution. The difficulty in monitoring water quality changes is due to the lack of sufficient field measurements across political boundaries. We overcome this challenge by using the state-of-the-art satellite remote sensing, which provided data for over two decades. We examined spatial/seasonal variations and assessed long-term trends of water-column chlorophyll concentration, turbidity, water clarity, temperature, and surface algae scums. While most of these water quality parameters showed no dramatic long-term trends, water temperature showed much higher warming rate than the adjacent seas such as the Arabian Sea and Red Sea. Whether such a trend will continue in the future to favor algal blooms requires a long-term monitoring program. We will continue to assess the coastal water quality around Qatar and the Arabian/Persian Gulf. Meanwhile, in near real-time with daily updates.â€

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