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مدلسازی انرژی و انتشارات گازهای گلخانهای تولید محصول جو دیم با بهرهگیری از یادگیری ماشین در شهرستان نظرآباد، استان البرز | ||
مهندسی بیوسیستم ایران | ||
دوره 55، شماره 2، تیر 1403، صفحه 1-19 اصل مقاله (2.14 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ijbse.2024.377733.665562 | ||
نویسندگان | ||
سیدامید داودالموسوی؛ شاهین رفیعی* ؛ علی جعفری | ||
گروه مهندسی مکانیک ماشینهای کشاورزی، دانشکده فنی و مهندسی کشاورزی، دانشکده کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران | ||
چکیده | ||
انتخاب روشهای صحیح و مناسب عملیاتهای زراعی باعث کاهش مصرف انرژی و کاهش تولید گازهـای گلخانهای در تولیـدات محصولات کشاورزی میشود. در این مطالعه مقادیر انرژی ورودی، خروجی و انتشار گازهای گلخانهای تولید جو در شهرستان نظرآبادِ استان البرز مورد بررسی قرار گرفت. مقادیر مختلف کاربرد نهادهها و اطلاعات جامع در هر مرحله از کاشـت تـا برداشت از طریق مصاحبه و پر کردن پرسشنامههای تخصصی جمعآوری شد. مقادیر انرژی مصرفی و انتشارات با استفاده از ضرایب تبدیل انرژی و انتشار گازهای گلخانهای استخراجشده از منابع محاسبه شد. باتوجهبه نتایج بهدستآمده میانگین انرژی کل مصرفی MJ/ha 16/14443 به دست آمد. مقدار پتانسیل گرمایش جهانی کل ناشی از فعالیتهای مختلف در مزرعه 77/650 کیلوگرم معادل کربندیاکسید در هکتار بوده است. بیشترین انتشار گازهای گلخانهای مربوط به کود شیمیایی نیتروژن و سوخت دیزل بوده است. شاخصهای نسبت انرژی، بهرهوری انرژی، شدت انرژی و انرژی خالص به ترتیب 03/5، kg/MJ 34/0،MJ/kg 91/2 و MJ58348 به دست آمد. مدلسازی انرژی با سه روش رگرسیونی درخت تصمیم، رگرسیون جنگل تصادفی و رگرسیون گرادیانی تقویتشده انجام شد و ضریب همبستگی آنها به ترتیب برابر 76/0، 79/0 و 76/0 و جذر میانگین مربعات خطای نسبی به ترتیب برابر 04/0، 05/0 و 06/0 محاسبه شد. نتایج نشان داد که روش رگرسیونی درخت تصمیم قادر است بادقت بیشتری مقادیر انرژی را پیشبینی کند. تحلیل حساسیت با SHAP انجام شد و تأثیرگذارترین نهاده روی پیشبینی انرژی کود شیمیایی نیتروژن بود. | ||
کلیدواژهها | ||
تحلیل حساسیت؛ کارایی انرژی؛ جو؛ یادگیری ماشین | ||
مراجع | ||
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