Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s12145-023-01195-1 |
Impact of varied fog collector designs on fog and rainwater harvesting under fluctuating wind speed and direction | |
Mosa, Mahmoud; Radwan, Farid; Al-Ghobari, Hussein; Fouli, Hesham; Alazba, Abdulrahman Ali | |
通讯作者 | Radwan, F |
来源期刊 | EARTH SCIENCE INFORMATICS
![]() |
ISSN | 1865-0473 |
EISSN | 1865-0481 |
出版年 | 2024 |
卷号 | 17期号:1页码:617-631 |
英文摘要 | This study explores innovative approaches to fog water collection by introducing a novel cylindrical mesh design, deviating from the traditional flat mesh. Motivated by the need to address the impact of variable wind directions on collection efficiency, field and laboratory experiments were conducted. Field experiments incorporated both square and cylindrical mesh designs, strategically placed to accommodate natural wind variations. Simultaneously, laboratory experiments considered two wind speeds (7 and 9 km/h) for both designs. Results indicated higher water collection quantities at 7 km/h compared to 9 km/h for both designs. The study emphasizes the critical role of wind direction stability. In regions with consistent wind directions during fog and rain events, the square design proves more effective. Conversely, in areas with fluctuating wind patterns, the cylindrical design emerges as a practical choice, showcasing heightened suitability for regions with variable wind patterns. Due to the insufficient water collected for agricultural use, machine learning, specifically artificial neural networks (ANN), was employed. Model 3 incorporating mean daily temperature, relative humidity, and wind speed as inputs with 20 neurons, demonstrated credible results post-optimization, with an MSE of 1.306 and an R of 0.9574. This underscores the model's efficacy in fog water collection modeling. These findings hold promise for optimizing fog water harvesting strategies and contributing to sustainable water resource management, especially in regions with variable wind patterns. Leveraging the capabilities of ANN, particularly Model 3 can guide future research endeavors and enhance the feasibility assessment of fog water collection. |
英文关键词 | Fog Rainwater Mesh design ANN modeling Arid region |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:001126462500002 |
WOS关键词 | EFFICIENCY |
WOS类目 | Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary |
WOS研究方向 | Computer Science ; Geology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/403310 |
推荐引用方式 GB/T 7714 | Mosa, Mahmoud,Radwan, Farid,Al-Ghobari, Hussein,et al. Impact of varied fog collector designs on fog and rainwater harvesting under fluctuating wind speed and direction[J],2024,17(1):617-631. |
APA | Mosa, Mahmoud,Radwan, Farid,Al-Ghobari, Hussein,Fouli, Hesham,&Alazba, Abdulrahman Ali.(2024).Impact of varied fog collector designs on fog and rainwater harvesting under fluctuating wind speed and direction.EARTH SCIENCE INFORMATICS,17(1),617-631. |
MLA | Mosa, Mahmoud,et al."Impact of varied fog collector designs on fog and rainwater harvesting under fluctuating wind speed and direction".EARTH SCIENCE INFORMATICS 17.1(2024):617-631. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。