Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images
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, chlo...
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Kharazmi University
2022-06-01
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| Series: | تحقیقات کاربردی علوم جغرافیایی |
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| Online Access: | http://jgs.khu.ac.ir/article-1-3218-en.pdf |
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| author | Taraneh Mirgheidari Behzad Rayegani Javad Bodagh-Jamali |
| author_facet | Taraneh Mirgheidari Behzad Rayegani Javad Bodagh-Jamali |
| author_sort | Taraneh Mirgheidari |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e5d39e6e3eb44192b5c4ac54407d64c6 |
| institution | Kabale University |
| issn | 2228-7736 2588-5138 |
| language | fas |
| publishDate | 2022-06-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | تحقیقات کاربردی علوم جغرافیایی |
| spelling | doaj-art-e5d39e6e3eb44192b5c4ac54407d64c62025-01-31T17:29:06ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382022-06-012265207226Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite imagesTaraneh Mirgheidari0Behzad Rayegani1Javad Bodagh-Jamali2 msc student Associate Professor Associate Professor 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.http://jgs.khu.ac.ir/article-1-3218-en.pdfmodis sensorfuzzy logiccoastal water zoningremotely sensed water quality indexmultiple linear regression |
| spellingShingle | Taraneh Mirgheidari Behzad Rayegani Javad Bodagh-Jamali Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images تحقیقات کاربردی علوم جغرافیایی modis sensor fuzzy logic coastal water zoning remotely sensed water quality index multiple linear regression |
| title | Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images |
| title_full | Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images |
| title_fullStr | Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images |
| title_full_unstemmed | Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images |
| title_short | Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images |
| title_sort | coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images |
| topic | modis sensor fuzzy logic coastal water zoning remotely sensed water quality index multiple linear regression |
| url | http://jgs.khu.ac.ir/article-1-3218-en.pdf |
| work_keys_str_mv | AT taranehmirgheidari coastalwaterqualityassessmentbasedontheremotelysensedwaterqualityindexusingtimeseriesofsatelliteimages AT behzadrayegani coastalwaterqualityassessmentbasedontheremotelysensedwaterqualityindexusingtimeseriesofsatelliteimages AT javadbodaghjamali coastalwaterqualityassessmentbasedontheremotelysensedwaterqualityindexusingtimeseriesofsatelliteimages |