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Water conservation potential of smart irrigation controllers on St. Augustinegrass

机译:圣奥古斯丁格拉斯智能灌溉控制器的节水潜力

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A variety of technologies for reducing residential irrigation water use are available to homeowners. These ''Smart Irrigation'' technologies include evapotranspiration (ET)-based controllers and soil moisture sensor (SMS) controllers. The purpose of this research was to evaluate the effectiveness of these technologies, along with rain sensors, based on irrigation applied and turfgrass quality measurements on St. Augustinegrass (Stenotaphrum secundatum (Walter) Kuntze). Testing was performed on two types of SMS controllers (LawnLogic LL1004 and Acclima Digital TDT RS500) at three soil moisture threshold settings. Mini-Clik rain sensors (RS) comprised six treatments at two rainfall thresholds (3mm and 6mm) and three different irrigation frequencies (1, 2, and 7d/wk). Two ET controllers were also tested, the Toro Intelli-Sense controller and the Rain Bird ET Manager. A time-based treatment with 2 days of irrigation per week without any type of sensor (WOS) to bypass irrigation was established as a comparison. All irrigation controller programming represented settings that might be used in residential/commercial landscapes. Even though three of the four testing periods were relatively dry, all of the technologies tested managed to reduce water application compared to the WOS treatment, with most treatments also producing acceptable turf quality. Reductions in irrigation applied were as follows: 7-30% for RS-based treatments, 0-74% for SMS-based treatments, and 25-62% for ET-based treatments. The SMS treatments at low threshold settings resulted in high water savings, but reduced turf quality to unacceptable levels. The medium threshold setting (approximately field capacity) SMS-based treatment produced good turfgrass quality while reducing irrigation water use compared to WOS by 11-53%. ET controllers with comparable settings and good turf quality had -20% to 59% savings. Reducing the irrigation schedule (treatment DWRS) by 40% and using a rain sensor produced water savings between 36% and 53% similar to smart controllers. Proper installation and programming of each of the technologies was essential element to balancing water conservation and acceptable turf quality. Water savings with the SMS controllers could have been increased with a reduced time-based irrigation schedule. Efficiency settings of 100% (DWRS) and 95% (TORO) did not reduce turf quality below acceptable limits and resulted in substantial irrigation savings, indicating that efficiency values need not be low in well designed and maintained irrigation systems. For most conditions in Florida, the DWRS schedule (60% of schedule used for SMS treatments) can be used with either rain sensors or soil moisture sensors in bypass control mode as long as the irrigation system has good coverage and is in good repair.
机译:房主可以使用多种减少住宅灌溉用水的技术。这些“智能灌溉”技术包括基于蒸散(ET)的控制器和土壤湿度传感器(SMS)控制器。这项研究的目的是基于对圣奥古斯丁草(Stenotaphrum secundatum(Walter)Kuntze)的灌溉和草皮质量测量,评估这些技术以及降雨传感器的有效性。在三种土壤湿度阈值设置下,对两种类型的SMS控制器(LawnLogic LL1004和Acclima Digital TDT RS500)进行了测试。 Mini-Clik雨水传感器(RS)在两个降雨阈值(3mm和6mm)和三个不同灌溉频率(1、2和7d / wk)下进行了六种处理。还测试了两个ET控制器,Toro Intelli-Sense控制器和Rain Bird ET Manager。作为比较,建立了一种基于时间的处理方法,每周灌溉2天,没有任何类型的传感器(WOS)绕过灌溉。所有灌溉控制器编程均代表可能在住宅/商业景观中使用的设置。尽管四个测试阶段中的三个相对干燥,但与WOS处理相比,所有测试技术均设法减少了用水量,并且大多数处理也产生了可接受的草皮质量。减少的灌溉量如下:基于RS的处理减少7-30%,基于SMS的处理减少0-74%,基于ET的处理减少25-62%。在低阈值设置下的SMS处理可节水很多,但草皮质量降低到不可接受的水平。与WOS相比,基于SMS的中等阈值设置(大约田间处理能力)产生了良好的草皮质量,同时减少了灌溉用水量(11%至53%)。具有可比设置和良好草皮质量的ET控制器可节省-20%至59%。与智能控制器类似,将灌溉计划(DWRS处理)减少40%,并使用雨水传感器,可节水36%至53%。每种技术的正确安装和编程对于平衡节水和可接受的草皮质量至关重要。通过减少基于时间的灌溉计划,可以通过SMS控制器节省更多的水。效率设置为100%(DWRS)和95%(TORO)不会将草皮质量降低到可接受的极限以下,并且不会节省大量灌溉,这表明在设计良好和维护良好的灌溉系统中效率值不必太低。对于佛罗里达州的大多数情况,只要灌溉系统具有良好的覆盖范围且维修良好,DWRS时间表(用于SMS处理的时间表的60%)可以与雨水传感器或土壤湿度传感器一起以旁路控制模式使用。

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