Testing and Evaluation of a Smart Irrigation System Towards Smart Landscaping in UAE

F. Alsulaimani
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Abstract

It is clear that the population is growing drastically causing an increase in urban development and landscape expansion which as a result increase the demand for water. In the GCC region, water is becoming a threat with the impact of climate change and the lack of water resources. The main source of water is mostly desalination plants. Irrigation system can reduce water consumption but the current system might not solve the issues of water in the near future. This study is an evaluation to the impact of an innovative technology, especially the use of Internet of things (IoT) on the performance of a typical irrigation system currently used in Dubai, UAE. A field experiment was conducted to measure the selected parameter: Water consumption and irrigation management. This means, a profound measurement on the impact of integrating soil moisture sensor into the current irrigation system is evaluated to assess the impact this integration. The research evaluates the environmental, economic and technical feasibility of the technology under UAE conditions. The core methodology used in this research was the field experiment; statistical analysis was also required to validate the results obtained on site. The results observed from the experiment were that the use of smart irrigation system (SIS) have an environmental advantages in the long term especially in terms of water consumption and irrigation management. Less water is required to irrigate when the soil is saturated enough causing a healthier plants growth. The outcomes of the use of SMS have shown a better results in water conservation and a decrease in water flow in the month of September by 21% and 26% in October. However, the economic analysis shows that the integration of soil moisture sensor isn’t viable in large field projects when heterogeneous soils covers large areas. The upfront cost is higher compared to the controlled irrigation system, yet the long term will have larger impact on the plantation growth and water conservation. Moreover, failing to choose the right depth in which moisture is contained and sensor is buried might cause a negative effect. Nevertheless, integrating new technologies in the irrigation system is a way to move smarter and innovative and this is what Dubai is moving towards.
阿联酋智能灌溉系统对智能景观的测试与评价
很明显,人口的急剧增长导致城市发展和景观扩张的增加,从而增加了对水的需求。在海湾合作委员会地区,由于气候变化的影响和水资源的缺乏,水正在成为一种威胁。水的主要来源主要是海水淡化厂。灌溉系统可以减少水的消耗,但目前的系统可能无法在不久的将来解决水的问题。本研究评估了一项创新技术的影响,特别是物联网(IoT)对目前在阿联酋迪拜使用的典型灌溉系统性能的影响。采用田间试验的方法,对所选参数:耗水量和灌溉管理进行了测定。这意味着,对将土壤湿度传感器集成到当前灌溉系统中的影响进行了深入的测量,以评估这种集成的影响。该研究评估了该技术在阿联酋条件下的环境、经济和技术可行性。本研究采用的核心方法是现场实验;还需要进行统计分析以验证现场获得的结果。从实验中观察到的结果是,从长远来看,智能灌溉系统(SIS)的使用具有环境优势,特别是在用水量和灌溉管理方面。当土壤足够饱和时,灌溉所需的水就会减少,从而使植物生长得更健康。SMS的使用结果显示出较好的节水效果,9月份的水量减少了21%,10月份的水量减少了26%。然而,经济分析表明,在非均质土壤覆盖面积较大的大型农田工程中,土壤湿度传感器集成是不可行的。与控制灌溉系统相比,前期成本更高,但从长远来看,对种植园生长和水资源保护的影响更大。此外,如果不能选择合适的湿度和传感器埋藏深度,可能会产生负面影响。然而,将新技术整合到灌溉系统中是一种更智能、更创新的方式,这正是迪拜正在努力的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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