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Analysis of irrigation system performance based on an integrated approach with Sentinel-2 satellite images

机译:基于Sentinel-2卫星图像的综合方法分析灌溉系统性能

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The improvement of performance of irrigation systems plays a fundamental role in increasing their efficiency in order to reach a sound use of irrigation water. The COPAM (Combined Optimization and Performance Analysis Model) has proven its usefulness in performance evaluation of on-demand irrigation systems; however, in many cases, input data, such as water volumes delivered by hydrants, is not readily available. To support a wider application of the COPAM, we tested the possibility of using irrigation volumes estimated by means of space-borne remote sensing. The Sentinel-2 (S2) constellation provides high spatial resolution images with a frequency between 2 and 5 days, which is compatible with COPAM input requirements. In the present work, an irrigation sector in the Capitanata irrigation network (Foggia Province, no. 6 of District 10) in Italy was chosen to assess its performance by using COPAM with volumes estimated from Sentinel-2 data. As an input of COPAM, the upstream discharge was determined after a proper transformation of the estimated irrigation water requirement volumes and the recorded volumes into flowrates. The estimation of the irrigation water requirement volumes was accomplished through the estimation of crop evapotranspiration, Etcrop, and effective precipitation, Pn, by combining crop parameters (leaf area index - LAI, fractional vegetation cover - fc, and Albedo) derived from S2 images and the meteorological data from the ERA5 single levels reanalysis dataset collected for the whole study period, from June 1st to September 30th, 2019. The study comprised a comparison of the estimated irrigation water volumes and the corresponding recorded volumes. The results showed a good agreement between the estimated and the registered volumes in a large time scale for 10 days and a one-month period, while a large difference was observed in a daily time scale. The performance analysis was carried out for the overall system and at hydrant level. The estimated discharge was lower than the registered discharge, indicating better performance. Last but not least, some recommendations were proposed for improving performance in critical zones.
机译:灌溉系统性能的提高在提高其效率方面发挥着重要作用,以便达到灌溉水的合理使用。 CopAM(组合优化和性能分析模型)已证明其在按需灌溉系统的性能评估中证明其有用性;但是,在许多情况下,输入数据,如消防栓递送的水量,不易获得。为了支持更广泛的opam应用,我们测试了使用通过空间传播遥感估计的灌溉量的可能性。 Sentinel-2(S2)星座提供高空间分辨率图像,其频率在2到5天之间,其与Copam输入要求兼容。在目前的工作中,选择意大利Capitanata灌溉网络(Foggia)的灌溉部门(Foggia省,第10区),通过使用来自Sentinel-2数据估计的卷的副本来评估其性能。作为COPAM的输入,在估计的灌溉水需求量的适当转化后测定上游放电,并将记录的卷转变为流量。通过将作物参数(叶面积指数 - Lai,分数植被覆盖 - FC和Albedo)估算来自S2图像的作物参数(叶面积指数 - Lai,分数植被覆盖 - FC和Albedo)来实现灌溉水需求体积的估计。来自2019年6月1日至9月30日的整个研究期间收集的ERA5单级Reanalysy DataSet的气象数据。该研究包括估计的灌溉水量和相应记录体积的比较。结果表明,估计和注册量之间的良好一致性,在大型时间范围内达到10天,一个月的时间,而在每日时间尺度中观察到较大的差异。对整个系统和消防栓进行性能分析。估计的放电低于挂销的放电,表明性能更好。最后但并非最不重要的是,提出了一些建议,以提高关键区域的性能。

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