هواشناسی کشاورزی

هواشناسی کشاورزی

پایش عمق آب استخرهای ذخیره کشاورزی با استفاده از فناوری سنجش از دور راهکاری برای مدیریت بهینه منابع آب (مطالعه موردی: شهرستان شاهرود)

نوع مقاله : مقاله پژوهشی

نویسندگان
مجتبی شاکر 1
موسی حسام 2
خلیل قربانی 3
ابوطالب هزارجریبی 4
محمد اوشنی 5
1 گروه مهندسی آب، دانشکده مهندسی آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران
2 گروه مهندسی آب، دانشکده مهندسی آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان. گرگان، ایران.
3 هیأت علمی دانشگاه علوم کشاورزی و منابع طبیعی گرگان
4 گروه مهندسی آب، دانشکده مهندسی آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران.
5 کارشناس مطالعات اقتصادی آب و آبفا، عضو دبیر خانه هیئت ساماندهی و راهبری بازارهای محلی آب وزارت نیرو، تهران، ایران.
10.22125/agmj.2025.553723.1189
چکیده
پایش عمق آب در استخرهای کشاورزی، علیرغم چالش های اجرایی و محدودیت‌های بسیار برای مدیریت بهینهی منابع آب و برنامه‌ریزی آبیاری کلیدی و حیاتی می‌باشد. این پژوهش با هدف توسعه یک مدل مقرون‌به‌صرفه مبتنی بر سنجش از دور برای برآورد عمق آب در استخرهای با پوشش ژئوممبران پرداخته است. در این پژوهش، از 190 اندازه‌گیری میدانی عمق آب در 14 استخر طی دوره پنج‌ماهه (از آذر ۱۴۰۳ تا فروردین ۱۴۰۴) واقع در منطقهی مجن (شهرستان شاهرود) و تصاویر همزمان ماهوارهی سنتینل-۲ استفاده شد. مجموعه‌ای جامع از 96 متغیر مستقل (۱۲ باند طیفی و 84 شاخص طیفی) استخراج گردید. پس از پالایش داده‌ها، از الگوریتم رگرسیون خطی گام‌به‌گام برای انتخاب خودکار مؤثرترین متغیرها و برای مدل‌سازی بهینه رابطه بین متغیرهای طیفی و عمق آب بهره گرفته شد. تحلیل منحنی تغییرات بازتاب طیفی، یک روند نزولی پایدار را با افزایش عمق آب نشان داد. بررسی ماتریس‌های همبستگی، الگوهای مشخصی از روابط بین باندها و شاخص‌های طیفی را آشکار کرد. با به‌کارگیری رگرسیون گام‌به‌گام، مدل نهایی با استفاده از چهار شاخص طیفی انتخاب شده (NGBDI، B1_7، B1_9 و B6_9) توسعه یافت. این مدل با ضریب تعیین (R) 75/0 ، خطای جذر میانگین مربعات (RMSE) 70 سانتیمتر و میانگین خطای درصدی مطلق (MAPE) 41/9 درصد، از دقت و قابلیت اطمینان مناسبی برخوردار است. ارزیابی‌های آماری تحلیل واریانس و نمودارهای تشخیصی، عملکرد قابل قبول مدل را تأیید کردند. یافته‌ها مؤید اثربخشی کابرد فناوری سنجش از دور به‌عنوان یک ابزار دقیق، مقرون‌به‌صرفه، کارآمد و مقیاس پذیر برای پایش عمق آب استخرهای کشاورزی برای مدیران منابع آب و تصمیم‌سازی آگاهانه برای امنیت آبیاری کشاورزی می‌باشد.
کلیدواژه‌ها
استخرهای کشاورزی
پایش عمق آب
سنجش از دور
ماهواره سنتینل-2 و مدیریت منابع آب
موضوعات

عنوان مقاله English

Monitoring the Water Depth of Agricultural Storage Ponds Using Remote Sensing Technology: A Solution for Optimal Water Resource Management (Case Study: Shahroud County)

نویسندگان English

mojtaba shaker 1
Mousa Hesam 2
Khalil Ghorbani 3
Abotaleb Hezarjaribi 4
Mohamad Oshani 5
1 Dept. of water Engineering, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources. Iran.
2 Dept. of water Engineering, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
3 Faculty member of Gorgan University of Agricultural Sciences and Natural Resources
4 Dept. of water Engineering, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
5 Economic sciences, Expert in economic studies of water and water resources, Member of the Secretary House of the Organizing and Management Board of Local Water Markets of the Ministry of Energy, Tehran, Iran.
چکیده English

Monitoring the water depth of agricultural ponds is crucial for the optimal management of water resources and irrigation planning, despite the implementation challenges and numerous limitations involved. This research aimed to develop a cost-effective remote sensing-based model to estimate water depth in geomembrane-lined ponds. The study utilized 190 field measurements of water depth from 14 ponds over a five-month period (from Azar 1403 to Farvardin 1404) in the Majan region (Shahroud County), along with concurrent Sentinel-2 satellite imagery. A comprehensive set of 96 independent variables (12 spectral bands and 84 spectral indices) was extracted. After data refinement, a stepwise linear regression algorithm was employed to automatically select the most effective variables and optimally model the relationship between the spectral variables and water depth. Analysis of the spectral reflectance variation curve revealed a stable decreasing trend with increasing water depth. Examination of correlation matrices uncovered distinct patterns in the relationships between the bands and spectral indices. Using stepwise regression, the final model was developed with four selected spectral indices (NGBDI, B1_7, B1_9, and B6_9). This model demonstrated appropriate accuracy and reliability, with a coefficient of correlation (R) of 0.75, a root mean square error (RMSE) of 70 cm, and a mean absolute percentage error (MAPE) of 9.41%. Statistical evaluations, including analysis of variance (ANOVA) and diagnostic plots, confirmed the model's acceptable performance. The findings affirm the effectiveness of remote sensing technology as a precise, cost-effective, efficient, and scalable tool for monitoring the water depth of agricultural ponds, aiding water resource managers in informed decision-making for agricultural water security.

کلیدواژه‌ها English

Agricultural ponds
Water depth monitoring
Remote sensing
Sentinel-2 satellite &‌‌‌ Water resources management
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