Using medium and high resolution satellite images in monitoring water quality surrounding the discharges of desalination plants in the UAE

Ammar Al Muhairi, H. Ghedira, H. Al-Ahmad, A. Dawood
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引用次数: 3

Abstract

Today, various processes of seawater desalination are used to satisfy the increasing demand of fresh water. Desalination plants treat the seawater pumped from their intakes and discharge the generated waste back to the sea through their outfalls. The discharged waste, also called brine, has a high salinity level, high temperature and high concentration of other suspended matters which may cause negative environmental effects on the water quality surrounding the discharge point. In this paper, medium and high resolution satellite data collected by MODIS and DubaiSat-1 (DS-1), respectively, were used to derive average digital value and its spatial variability surrounding Jebel Ali plant. Satellite-derived sea surface temperature (SST) was derived and compared to field measured temperature collected between January and December 2008. In order to have a better understanding of the spectral and spatial characteristics of satellite data, the mean squared error (MSE) and peak signal to noise ratio (PSNR) were also calculated for different locations in the study area with determined window's size. Structural Similarity (SSIM) factor was used to compare two locations, one with pollution and the other without pollution.
利用中、高分辨率卫星图像监测阿联酋海水淡化厂排放物周围的水质
今天,各种海水淡化工艺被用来满足日益增长的淡水需求。海水淡化厂处理从进水口抽出的海水,并将产生的废物通过排水口排放回大海。排放的废物又称卤水,其含盐量高、温度高、其他悬浮物浓度高,可能对排放点周围的水质造成负面环境影响。本文利用MODIS和DubaiSat-1 (DS-1)卫星采集的中、高分辨率卫星数据,分别推导了Jebel Ali植被周围的平均数字值及其空间变异性。利用卫星获得的海表温度(SST),并与2008年1月至12月收集的现场测量温度进行了比较。为了更好地了解卫星数据的光谱和空间特征,在确定窗口大小的情况下,计算了研究区不同位置的均方误差(MSE)和峰值信噪比(PSNR)。采用结构相似度(SSIM)因子对污染和无污染两个地点进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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