ﺑﺮرﺳﯽ ارﺗﺒﺎط ﺗﺮاﮐﻢ ﮐﻠﺮوﻓﯿﻞ–آ و دﻣﺎي ﺳﻄﺢ آب در ﻧﺎﺣﯿﻪ ﺟﻨﻮب ﻏﺮﺑﯽ درﯾﺎي ﺧﺰر

Relationship between chlorophyll-a concentration and water surface temperature in the Southwestern Caspian Sea

دﻣﺎي ﺳﻄﺢ آب و ﺗﺮاﮐﻢ ﮐﻠﺮوﻓﯿﻞ-آ از ﻣﻬﻢﺗﺮﯾﻦ ﻣﺘﻐﯿﺮ ﻫﺎي اﮐﻮﻟﻮژﯾﮑﯽ ﻣﺤﯿﻂ ﻫﺎي درﯾﺎﯾﯽ ﻫ ﺴﺘﻨﺪ و ﺑﺮر ﺳﯽ ارﺗﺒﺎط ﻣﺘﻘﺎﺑﻞ آنﻫﺎ در زﻣﯿﻨﻪ آﮔﺎﻫﯽ از ﮐﯿﻔﯿﺖ آب، اﻟﮕﻮي ﻫﺎي ﺟﺮﯾﺎن، ﺗﻮﻟﯿﺪات اوﻟﯿﻪ و ﻫﻤﭽﻨﯿﻦ ﭘﯿﺶ ﺑﯿﻨﯽ ﭘﺮاﮐﻨﺶ آﺑﺰﯾﺎن ﮐﺎرﺑﺮد دارد. ﻫﺰﯾﻨﻪ و زﻣﺎن اﻧﺪازهﮔﯿﺮي دﻣﺎي ﺳــﻄﺢ آب درﯾﺎ ﺑﺴــﯿﺎر ﮐﻢﺗﺮ از ﺗﺮاﮐﻢ ﮐﻠﺮوﻓﯿﻞ-آ اﺳــﺖ، ﺑﻨﺎﺑﺮاﯾﻦ ﻣﯽﺗﻮان ﭘﺲ از آﮔﺎﻫﯽ از اﻟﮕﻮي ارﺗﺒﺎﻃﯽ ﺑﯿﻦ اﯾﻦ دو ﻣﺘﻐﯿﺮ از دﻣﺎ ﺑﻪﻋﻨﻮان ﺷـــﺎﺧﺼـــﯽ ﺑﺮاي اﻃﻼع ﻧﺴـــﺒﯽ از ﺗﺮاﮐﻢ ﮐﻠﺮوﻓﯿﻞ-آ اﺳـــﺘﻔﺎده ﻧﻤﻮد. اﯾﻦ ﻣﻬﻢ ﻧﯿﺎزﻣﻨﺪ اﻧﺪازهﮔﯿﺮي ﻫﺎي ﺑﻠﻨﺪﻣﺪت در ﻣﮑﺎن ﻣ ﺸﺨﺺ ا ﺳﺖ و ﺑﺎ ﺗﻮﺟﻪ ﺑﻪﻫﺰﯾﻨﻪ ﺑﺎﻻي ﻧﻤﻮﻧﻪﺑﺮداري ﻣﯿﺪاﻧﯽ و اﻧﺠﺎم ﺑﺮرﺳﯽﻫﺎي آزﻣﺎﯾ ﺸﮕﺎﻫﯽ دﻣﺎ و ﮐﻠﺮوﻓﯿﻞ-آ در ﻣﺤﯿﻂﻫﺎي درﯾﺎﯾﯽ، ﺑﻬﺮهﮔﯿﺮي از ﺗ ﺼﺎوﯾﺮ ﻣﺎﻫﻮارهاي در اﯾﻦ ﺧ ﺼﻮص ﺿﺮورت ﻣﯽﯾﺎﺑﺪ. ﺗﺤﻘﯿﻖ ﺣﺎ ﺿﺮ ﺑﺎ ﻫﺪف ﺑﺮر ﺳﯽ اﻟﮕﻮي ﺗﻐﯿﯿﺮات ﻣﺘﻘﺎﺑﻞ ﺳﺎﻻﻧﻪ، ﻣﺎﻫﺎﻧﻪ و ﻓ ﺼﻠﯽ ﺗﺮاﮐﻢ ﮐﻠﺮوﻓﯿﻞ-آ و دﻣﺎي ﺳﻄﺢ آب در ﻧﺎﺣﯿﻪ ﺟﻨﻮب ﻏﺮﺑﯽ درﯾﺎي ﺧﺰر (ﻣﺤﺪوده درﯾﺎﯾﯽ ﺑﻨﺪر اﻧﺰﻟﯽ) با استفاده از تصاوير رقومي ماهواره aqua و سنجنده modis طي سال هاي 1394 و 1395 فروردين الي اسفندماه به انجام رسيد.

Temperature and chlorophyll-a are important marine ecological features that their interrelationship is used for understanding water body quality, flow patterns, primary production potential and to predict the distribution of aquatic organisms. The cost and time of sea surface temperature measurements are much less than chlorophyll-a measurements. Therefore, it is possible to use temperature as indicator to predicate chlorophyll-a concentrations based on their relationship pattern. This procedure requires a long-term measurements at specific places. As field sampling and laboratory testing of temperature and chlorophyll-a in marine environment is costly and difficult, use of satellite images is necessary in this regard. Hence, this study was conducted to investigate the pattern of annual, monthly and seasonal interactions of chlorophyll-a and surface water temperature in southwestern Caspian Sea area using Raster images of the Aqua satellite and MODIS sensor of 2015 and 2016 (April to March). Linear and non-linear statistical analyses (Correlation and GAM respectively) were used. The results showed that water temperature and chlorophyll-a concentrations have seasonal relationship pattern. In summer the relationship was strongest (R2=0.62).