تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

شاخص دورسنجی بررسی کیفیت آبهای ساحلی به کمک سری‌های زمانی داده-های ماهواره‌ای

نویسندگان
1 دانش آموخته دانشکده محیط زیست کرج ایران
2 استادیار دانشکده محیط زیست کرج ایران
3 دانشیار دانشکده محیط زیست کرج ایران
چکیده
تحقیق حاضر، با هدف ارائه شاخص دورسنجی کیفیت آب به کمک فناوری سنجش از دور صورت گرفته است. در این پژوهش ابتدا با توجه به شرایط منطقه، مطالعه منابع علمی و دسترسی به داده­های ماهواره­ای پارامتر­های فلزات­سنگین، یون­های محلول، دمای آب، کلروفیلa و pH انتخاب شد. سپس توسط بررسی منابع و مقایسه بین عملکرد سنجنده­های مختلف، محصول کد 02 و 09 سنجنده مودیس و تصاویر سطح دوم یک­کیلومتر کلروفیل aو دمای آب سنجنده مودیس تهیه و آماده­سازی شد. همچنین اطلاعات میدانی آبهای بندرعسلویه همزمان با تصویربرداری ماهواره آکوا و ترا، در ماه اوت سال 2014 تهیه گردید. سپس رابطه میان مقادیر اندازه­گیری شده و مقادیر بازتابش تصاویر ماهواره­ای، به­صورت مدلهای خطی بررسی شد و ضریب تعیین بین 59/0 تا 94/0 از مدلها به دست آمد. در­ادامه تصاویر سنجنده مودیس بین سالهای 2015 تا 2017 تهیه و مدلهای به­­دست آمده بر روی آنها اعمال گردید. سپس لایه­ ها برای بیان میزان مطلوبیت هر ناحیه با استفاده از منطق فازی استانداردسازی شد. همچنین سری­های زمانی داده­های دمای آب از سال 2003 تا 2017 تهیه و برای هر­ماه مقادیر میانگین پیکسلی محاسبه شد و برهمان اساس تغییرات این پارامتر استانداردسازی شد. در نهایت شاخصی کارآمد جهت بررسی کیفیت آبهای ساحلی به کمک سری­های زمانی داده­های دورسنجی ارائه گردید و آبهای بندرعسلویه پهنه­بندی شد. نتایج نشان داد کیفیت آب از سالهای 2015 تا 2017 از وضعیت ضعیف به وضعیت بسیار­ضعیف تغییر پیدا کرده­ است. براساس نتایج این پژوهش با توسعه شاخص پیشنهادی در مطالعات آتی بررسی مداوم پایش زیست­محیطی امکان­پذیر خواهد بود.
کلیدواژه‌ها

عنوان مقاله English

Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images

نویسندگان English

Taraneh Mirgheidari 1
Behzad Rayegani 2
Javad Bodagh-Jamali 3
1 msc student
2 Associate Professor
3 Associate Professor
چکیده English

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.

کلیدواژه‌ها English

MODIS Sensor
Fuzzy logic
Coastal water zoning
Remotely Sensed Water Quality Index
Multiple Linear Regression
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