Hydraulic Optimization and Sustainable Design of Water Wells for Irrigation Systems: A Practical Approach
سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 75
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ARCE-6-2_001
تاریخ نمایه سازی: 20 تیر 1404
چکیده مقاله:
Efficient water well design plays a critical role in sustainable groundwater extraction, particularly for irrigation and effluent recovery systems. This study evaluates a water well used for these purposes as a case study, focusing on optimizing design parameters to achieve a balance between performance, longevity, and cost-effectiveness. Key aquifer properties, including transmissivity, hydraulic conductivity, and storage coefficient, were determined through pumping tests using the Cooper and Jacob recovery method. The well’s design was analyzed to minimize drawdown while maintaining high yield, ensuring compatibility with irrigation peak demands and drought conditions. A comprehensive assessment of construction components, including casing, screen, and gravel pack design, was performed to prevent contamination and structural failure. Theoretical and field data were integrated to analyze well losses, revealing the importance of proper formation and well loss management to sustain efficiency. Furthermore, pump installation was optimized to match the well’s capacity and ensure reliable operation. The results demonstrate that a systematic and conservative approach to well design can significantly reduce the risk of failure while maintaining groundwater quality and economic viability. This study highlights the essential principles and methodologies required for sustainable well construction, contributing to effective groundwater resource management in agriculture.
کلیدواژه ها:
نویسندگان
Amjad Mizyed
PhD. in Civil and Environmental Engineering, water technology joint Program between IUG & AUG, Gaza strip, Palestine
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :