برآورد کدورت آب با استفاده از سنجش از دور و الگوریتم جنگل تصادفی، مطالعه موردی: دریاچه شهدای خلیج فارس چیتگر تهران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشگاه شهید بهشتی، پژوهشکده علوم محیطی، تهران، ایران

2 دانشگاه شهید بهشتی

3 دانشگاه شهید بهشتی، پژوهشکده GIS و سنجش از دور، تهران

چکیده

کدورت آب از مهم‌ترین پارامترهای کیفیت آب محسوب می‌شود که معرف شفافیت آب و مؤثر بر تغذیه‌گرایی است. این پژوهش با هدف برآورد مقدار کدورت آب با استفاده از داده‌های سنجش از دور و تکنیک جنگل تصادفی انجام شده است. بدین منظور، از داده‌های پایش کیفیت آب دریاچه شهدای خلیج فارس چیتگر تهران که دریاچه‌ای شهری و کم‌عمق، با کاربری تفرج و منظر شهری است، استفاده شد. تصاویر ماهواره-های لندست-8 و سنتینل-2 پس از انطباق تاریخ داده‌های میدانی و تصاویر ماهواره‌ای برای دوره زمانی سال 1395 تا 1400، انتخاب و داده‌ها به دو گروه جهت تولید و اعتبارسنجی مدل تقسیم شدند. نخست عملیات پیش پردازش روی تصاویر ماهواره‌ای انجام شد. سپس با استفاده از تکنیک جنگل تصادفی باندهای مؤثر شناسایی گردیدند، پس از آن، ترکیب‌های باندی بهینه انتخاب و مدل‌های رگرسیون برازش و اعتبارسنجی شدند. مدل به‌دست آمده، میزان کدورت آب را با Adj.R2=0.6، RMSE=1.07 NTU و NRMSE=12% در ماهواره لندست-8 و Adj.R2=0.73، RMSE=1.23 NTU و NRMSE=9% در ماهواره سنتینل-2 و با توان آماری 80 درصد برای دریاچه چیتگر پیش‌بینی کرد. بدین ترتیب، مدل برآوردی بهینه با کمک تکنیک جنگل تصادفی براساس داده‌های ماهواره سنتینل-2 به‌دست آمد و مدل پیش‌بینی توانست مقادیر کدورت آب را در دریاچه چیتگر با دقت قابل قبولی برآورد کند.

کلیدواژه‌ها

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