Volume 22, Issue 65 (6-2022)                   jgs 2022, 22(65): 207-226 | Back to browse issues page

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Mirgheidari T, Rayegani B, Bodagh-Jamali J. Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images. jgs 2022; 22 (65) :207-226
URL: http://jgs.khu.ac.ir/article-1-3218-en.html
1- msc student
2- Associate Professor , bhz.ray@gmail.com
3- Associate Professor
Abstract:   (3931 Views)
This study was conducted with the aim of providing a remotely sensed water quality index in Assaluyeh port using remote sensing technology. so, according to the region conditions, studying of scientific resources and access to satellite data, the parameters of heavy­metals, dissolved ions, SST, chlorophyll-a and pH were selected. Then, by reviewing sources, the product MYD091km, MYD021km, MOD021km, MOD091km and level2 images of chlorophyll-a and SST of MODIS sensor were used after preprocessing operations. Also In-situ data were collected Simultaneously with the capture of satellite images in August 2014. Then, the relationships between the water quality parameters and MODIS data, with (R2) from 0.59 to 0.94 and (RMSE) from 0.07 to 0.1 were obtained. Next the images of the MODIS sensor from 2015 to 2017 were prepared and the models were applied to them, then the layers were standardized by fuzzy logic. Also time series of SST data from 2003 to 2017 were prepared and for each month the average pixel values were calculated and based on this, from 2015 to 2017, the variation of this parameter was standardized. Finally, an effective index for assessing the quality of coastal waters was provided by time series of satellite images and the waters of Assaluyeh port were zoned. The results showed that the water quality in 2015 and 2016 has shifted from poor to very ­­poor status in 2017. Based on the results, with the development of a proposed index, in future studies a continuous assessment of environmental monitoring is possible.
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Type of Study: Research | Subject: Rs
Received: 2019/01/15 | Accepted: 2019/09/7

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