Maximum Water Harvest from Soil by Means of Solar Radiation: A Theoretical and Parametric Study
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 127
فایل این مقاله در 9 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_WHR-6-1_001
تاریخ نمایه سازی: 17 مهر 1402
چکیده مقاله:
The need for potable water is becoming growing drastically and different methods of freshwater production are explored theoretically and experimentally. Meanwhile, water harvesting from soil is a method through which soil water is attempted to be extracted as much as possible in form of vapor and condensed on the inner surface of a plastic cover and collected in a container. In the present study, the maximum amount of harvested water from soil is theoretically calculated and a parametric study is conducted to find the effects of contributing parameters on the highest level of harvested water from soil. Soil of interest is located under a plastic cover which absorbs solar rays and get heated. Therefore, its water turns into vapor and the condensate is collected afterwards. In fact, such a small harvesting water structure resembles a solar greenhouse. So, the governing equations seem roughly the same. Based on the results of the theoretical and parametric study, increases in difference between temperatures of trapped air under the plastic cover and soil surface brought about lower levels of harvested water as a increase led to a ۱۳% decrease in harvested water. In contrast, solar radiation intensity, area of soil under the plastic cover and soil absorptivity were all directly proportional to the quantity of harvested water. Moreover, it was concluded that solar radiation intensity acts as a marginally (around ۵%) more significant parameter in comparison to area of soil in the amount of harvested water.
کلیدواژه ها:
نویسندگان
Mahdi Hedayatizadeh
Faculty of Agriculture, University of Birjand, Birjand, Iran
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 :