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Seepage rate estimation from total channel control data during periods of shut down: preliminary data quality assessment. Case study: Coleambally irrigation system

机译:在关闭期间从总通道控制数据中估计渗透率:初步数据质量评估。案例研究:整体灌溉系统

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摘要

In recent years, major south-eastern Australian irrigation companies have invested heavily in modernization which includes installation of automatic control structures with remote monitoring, the so called total channel control technology (TCC). Main objectives of using TCC technology are to supply water near-on-demand and to control channel water levels. TCC includes supervisory control and data acquisition (SCADA) technology which will result in production of integrated databases based on real time measurements of the whole system. This data has the potential to be used to identify sections of channel with high rates of seepage or leakage. Pondage tests are acknowledged as the best direct method for seepage measurement, and the recorded water level data from automated systems during periods of gate closure can be treated as pondage test data. The purpose of this paper is to report on a preliminary quality analysis of such data during periods of shut down in the system in order to investigate the feasibility of using such data in seepage rate estimation. Coleambally irrigation district in southern NSW was chosen as the case study it being one of the first automated irrigation districts in the world and having three years of historical data. The analysis was done for all pondage conditions during the 2010 irrigation season and based on criteria requirements, accepted samples were categorized in different groups. The analysis showed that out of the total number of 1073 possible pondage conditions, 51% of them met the 70% criteria requirements and can be used for the purposes of this study. Examples of some individual periods of ponding are provided. Furthermore, it is concluded that TCC data is suitable for seepage and water loss analysis.
机译:近年来,澳大利亚东南部的主要灌溉公司在现代化建设上投入了大量资金,其中包括安装具有远程监控功能的自动控制结构,即所谓的总通道控制技术(TCC)。使用TCC技术的主要目标是按需供水和控制河道水位。 TCC包括监督控制和数据采集(SCADA)技术,该技术将基于整个系统的实时测量结果生成集成数据库。该数据有潜力用于识别渗漏率高的通道部分。 Pondage测试被公认为是渗流测量的最佳直接方法,闸门关闭期间来自自动化系统的记录水位数据可以视为污水测试数据。本文的目的是报告系统关闭期间此类数据的初步质量分析,以研究在渗流率估算中使用此类数据的可行性。新南威尔士州南部的Coleambally灌溉区被选为案例研究,它是世界上最早的自动化灌溉区之一,并拥有三年的历史数据。对2010年灌溉季节的所有池塘条件进行了分析,根据标准要求,将接受的样品分为不同的组。分析表明,在总共1073种可能的污染条件中,有51%符合70%的标准要求,可用于本研究。提供了一些思考阶段的示例。此外,得出的结论是,TCC数据适用于渗流和失水分析。

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