ﺑﺮرﺳﯽ ﺷﻮري ﺳﻄﺤﯽ آب ﺧﻠﯿﺞﻓﺎرس ﺑﺎ اﺳﺘﻔﺎده از دادهﻫﺎي ﻣﺎﻫﻮارهاي ﺳﻨﺠﻨﺪهﻫﺎي ﻣﻮدﯾﺲ و ﺳﻨﺠﻨﺪه ﮔماﻧﻪزن ﻣﺎﯾﮑﺮووﯾﻮ ﭘﯿﴩﻓﺘﻪ واﺣﺪ B

Investigation of Sea Surface Salinity in the Persian Gulf Using Data of MODIS and AMSU-B Sensors

اﻳﻦ ﻣﻘﺎﻟﻪ ﺑﻪ ﺑﺮرﺳﻲ و ﺑﺮآورد ﺗﻐﻴﻴﺮات ﺷﻮري ﺳﻄﺤﻲ آب ﺧﻠﻴﺞﻓﺎرس ﺑﺎ اﺳﺘﻔﺎده از دادهﻫﺎي ﻣﺎﻫﻮارهاي ﺑﺮ ﻣﺒﻨﺎي روﺷـﻲ ﺟﺪﻳـﺪ ﻣﻲﭘﺮدازد. ﻫﺪف و ﻧﻮآوري اﺻﻠﻲ اﻳﻦ ﻛﺎر ﭘﮋوﻫﺸﻲ آن اﺳﺖ ﻛﻪ ﺑﺮ ﻣﺒﻨﺎي روشﻫﺎي آﻣﺎري ﻣﻨﺎﺳﺐ و ﻗﺎﺑﻞاﻋﺘﻤـﺎد از ﺗﻮاﻧـﺎﻳﻲ دادهﻫﺎي ﺳﻨﺠﺶ از راه دور ﻣﺎﻫﻮاره اي ﺑﺮاي ﺑﺮآورد ﻛﻢﻫﺰﻳﻨـﻪ، آﺳـﺎن و در ﺑـﺎزه زﻣـﺎﻧﻲ ﻣﻨﺎﺳـﺐ ﺟﻬـﺖ ﺗﻌﻴـﻴﻦ ﺷـﻮري ﺳـﻄﺢ ﺧﻠﻴﺞﻓﺎرس اﺳﺘﻔﺎده ﻣﻲﻛﻨﺪ. در اﻳﻦ ﺗﺤﻘﻴﻖ از دادهﻫﺎي ﻣﺎﻫﻮاره اي ﺳﻨﺠﻨﺪه ﻣﻮدﻳﺲ و ﺳـﻨﺠﻨﺪه ﮔﻤﺎﻧـﻪزن ﻣـﺎﻳﻜﺮووﻳﻮ ﭘﻴﺸـﺮﻓﺘﻪ واﺣﺪ B اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ و اﻟﮕﻮرﻳﺘﻢ آﻣﺎري ﺟﺪﻳﺪي ﺑﺮاي آﻧﺎﻟﻴﺰ دادهﻫﺎي آنﻫﺎ اراﺋﻪ ﺷﺪه اﺳﺖ. اﻟﮕـﻮرﻳﺘﻢ ﺟﺪﻳـﺪ ﻣﺒﺘﻨـﻲ ﺑـﺮ روش رﮔﺮﺳﻴﻮن ﺧﻄﻲ ﭼﻨﺪﮔﺎﻧﻪ در ﻧﺮم اﻓﺰار آﻣﺎري R اﺳﺖ. دادهﻫﺎي ﻣﻮردﻣﻄﺎﻟﻌﻪ ﺑﻪ ﻣﺪت ﻳﻚ ﺳﺎل ﺟﻤﻊآوري ﺷﺪه اﺳـﺖ و ﺑﺮﻣﺒﻨﺎي اﻟﮕﻮرﻳﺘﻢ ﭘﻴﺸﻨﻬﺎدي در اﻳﻦ ﻧﺮم اﻓﺰار ﻣﻮرد ﺗﺤﻠﻴﻞ ﻗﺮار ﮔﺮﻓﺘﻪ اﺳﺖ. ﻧﺘﺎﻳﺞ ﺣﺎﺻـﻞ از ﭘـﺮدازش دادهﻫـﺎ ﺑـﺮ ﻣﺒﻨـﺎي روش ﭘﻴﺸﻨﻬﺎدي ﺣﺎﻛﻲ از آن اﺳﺖ ﻛﻪ اﺳﺘﻔﺎده از دادهﻫﺎي ﻣﺎﻫﻮاره اي ﺳﻨﺠﻨﺪهﻫﺎي ﻳﺎدﺷﺪه ﺑﺮاي ﺗﻌﻴﻴﻦ اﻟﮕﻮي ﺷـﻮري ﺳـﻄﺤﻲ آب ﺧﻠﻴﺞﻓﺎرس دﻗﺖ ﻛﺎﻓﻲ را دارﻧﺪ، ﻫﻤﭽﻨﻴﻦ ﺑﺮ ﻣﺒﻨﺎي روش ﺟﺪﻳﺪ ﭘﻴﺸﻨﻬﺎدي ﻣﻲﺗﻮان ﻳـﻚ ﭘﺎﻳﮕـﺎه داده آﻣـﺎري ﻣﻔﻴـﺪ و ﺑـﺎ دﻗـﺖ ﻣﻨﺎﺳﺐ اﻳﺠﺎد ﻧﻤﻮد.

This Paper Investigates and estimates the variations of sea surface salinity (SSS) in the Persian Gulf using moderate resolution imaging spectro-radiometer (MODIS) data on the Aqua satellite and the advanced microwave sounding Unit-B (AMSU-B) sensor on the NOAA-16 satellite in order to use remote sensing science for a more efficient and with more time distribution of salinity in the Persian Gulf. In this research a multiple-linear regression model in R software was developed using the data of MODIS and AMSU-B sensors. The data were obtained during a period of one year and fed to the R software. After processing the data in the R software, the correlation coefficient (R2) for salinity was calculated between field data and MODIS and AMSU-B sensors data. The correlation coefficients for MODIS and AMSU-B sensors were 0.86 and 0.85, respectively. Also, root mean square error (RMSE) between satellite data and in Situ data for salinity using MODIS and AMSU-B sensors were 0.62 Psu and 0.07 Psu respectively. The results show the accuracy of sensors for determining the sea surface salinity pattern in this study.