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Weather and Soil Moisture Based Landscape Irrigation Scheduling Devices: Technical Review Report - 2nd Edition

机译:基于天气和土壤水分景观灌溉调度装置:技术审查报告 - 第二版

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Water agencies implementing water use efficiency programs have long struggled to achieve quantifiable and reliable water savings. Historically, programs targeting landscape savings have focused on education pertaining to irrigation system maintenance,irrigation scheduling and climate appropriate plantings. Although these efforts have garnered savings, much potential exists for further landscape irrigation efficiency improvements. In the late 1990's, the Irvine Ranch Water District, Municipal Water District of Orange County and Metropolitan Water District of Southern California learned of an emerging irrigation management technology using weather based irrigation scheduling devices. This technology removes the need to make manual scheduling adjustments because the "smart" device adjusts the schedule automatically as weather changes. A water savings evaluation of this technology was implemented which is known as the "Residential Weather-Based Irrigation Scheduling -^sThe Irvine ET Controller Study".This evaluation identified an average single-family home savings rate of 37 gallons per day (irwd.com, 2001). In an effort to address non-point source pollution, a second weather based irrigation scheduling study was performed to evaluate the linkage between improved residential irrigation management and reduced dry-weather runoff. The "Residential Runoff Reduction (R3) Study" reported comparable water savings of 42 gallons per day per single-family home (irwd.com, 2004). Savings at non-residential sites were 545 gallons per day. The R3 Study also quantified a reduction in runoff ranging from 64 to 71 percent. With this change in runoff volume, concentrations of pollutants did not change therefore pollutants were reduced by a like amount. Although soilmoisture sensors have been used in agricultural and research applications for many years, this technology has only recently been applied successfully in the landscape irrigation field. Initial attempts to use soil moisture sensors to control landscape irrigation were unsuccessful due to the state of the technology, maintenance requirements and cost. Within the past several years, soil moisture sensor technology has advanced significantly with accurate and maintenance free systems being offered by several companies at competitive prices. Recent study findings indicate water savings resulting from soil moisture based smart systems are similar to those discussed above for weather based systems (Allen, 1997; Cardenas-Lailhacar et al., 2005; DeOreo et al.;Mecham).
机译:实施水使用效率计划的水机构长期以来一直在努力实现可量化和可靠的水资源。从历史上看,针对景观储蓄的计划侧重于与灌溉系统维护,灌溉调度和气候适当种植的教育。虽然这些努力已经储蓄,但有很大的潜力可以进一步景观灌溉效率改进。在1990年代后期,欧伦牧场水区,南加州橙县和大都市水区,利用天气灌溉调度装置了解了新兴灌溉管理技术。该技术删除了手动调度调整的需要,因为“智能”设备随着天气变化自动调整时间表。实施了这项技术的水资源评价,被认为是“基于住宅天气的灌溉调度 - ^ STHE Irvine ET控制器研究”。该评价确定了每天37加仑的平均单户住宅储蓄率(Irwd.com ,2001)。在努力解决非点源污染的情况下,进行了第二次天气的灌溉调度研究,以评估改善住宅灌溉管理和降低干天气径流之间的联系。 “住宅径流减少(R3)研究”报告了每次家庭房屋每天每天42加仑的可比水储蓄(Irwd.com,2004)。在非住宅区的节省每天545加仑。 R3研究还量化了径流的降低,范围为64%至71%。随着径流量的这种变化,污染物的浓度不会改变,因此污染物减少了类似的量。尽管粪便器传感器已在农业和研究应用中使用多年,但该技术最近仅在景观灌溉场中成功应用。由于技术的状态,维护要求和成本,初步尝试使用土壤湿度传感器来控制景观灌溉的态度不成功。在过去几年中,土壤湿度传感器技术的提高了,几家公司以竞争性价格提供了准确和维护的免费系统。最近的研究结果表明,土壤湿度基于智能系统产生的水分与天气系统(Allen,1997; Cardenas-Lailhacar等,2005; Deoreo等,Mecham)。

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