首页> 外文期刊>Hydrology and Earth System Sciences >Monitoring and modelling of soil-plant interactions: the joint use of ERT, sap flow and eddy covariance data to characterize the volume of an orange tree root zone
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Monitoring and modelling of soil-plant interactions: the joint use of ERT, sap flow and eddy covariance data to characterize the volume of an orange tree root zone

机译:土壤与植物相互作用的监测和建模:ERT,树液流量和涡度协方差数据的联合使用以表征橙树根区的体积

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摘要

Mass and energy exchanges between soil, plants and atmosphere control a number of key environmental processes involving hydrology, biota and climate. The understanding of these exchanges also play a critical role for practical purposes e.g. in precision agriculture. In this paper we present a methodology based on coupling innovative data collection and models in order to obtain quantitative estimates of the key parameters of such complex flow system. In particular we propose the use of hydro-geophysical monitoring via "time-lapse" electrical resistivity tomography (ERT) in conjunction with measurements of plant transpiration via sap flow and evapotranspiration (ET) from eddy covariance (EC). This abundance of data is fed to spatially distributed soil models in order to characterize the distribution of active roots. We conducted experiments in an orange orchard in eastern Sicily (Italy), characterized by the typical Mediterranean semi-arid climate. The subsoil dynamics, particularly influenced by irrigation and root uptake, were characterized mainly by the ERT set-up, consisting of 48 buried electrodes on 4 instrumented micro-boreholes (about 1.2 m deep) placed at the corners of a square (with about 1.3 m long sides) surrounding the orange tree, plus 24 mini-electrodes on the surface spaced 0.1 m on a square grid. During the monitoring, we collected repeated ERT and time domain reflectometry (TDR) soil moisture measurements, soil water sampling, sap flow measurements from the orange tree and EC data. We conducted a laboratory calibration of the soil electrical properties as a function of moisture content and porewater electrical conductivity. Irrigation, precipitation, sap flow and ET data are available allowing for knowledge of the system's long-term forcing conditions on the system. This information was used to calibrate a 1-D Richards' equation model representing the dynamics of the volume monitored via 3-D ERT. Information on the soil hydraulic properties was collected from laboratory and field experiments. The successful results of the calibrated modelling exercise allow for the quantification of the soil volume interested by root water uptake (RWU). This volume is much smaller (with a surface area less than 2 m(2), and about 40 cm thick) than expected and assumed in the design of classical drip irrigation schemes that prove to be losing at least half of the irrigated water which is not taken up by the plants.
机译:土壤,植物与大气之间的质量和能量交换控制着许多关键的环境过程,涉及水文,生物区系和气候。对这些交流的理解对于实际目的也起着至关重要的作用,例如在精密农业中。在本文中,我们提出了一种基于耦合创新数据收集和模型的方法,以便获得此类复杂流量系统关键参数的定量估计。特别是,我们建议通过“延时”电阻层析成像(ERT)进行水文地球物理监测,并结合通过液流和蒸发协方差(EC)的蒸散(ET)对植物蒸腾作用进行测量。大量的数据被输入到空间分布的土壤模型中,以表征活性根的分布。我们在西西里岛东部(意大利)的橙色果园中进行了实验,该果园具有典型的地中海半干旱气候。主要通过ERT设置来表征地下土壤动力学,尤其是受灌溉和根系吸收的影响,ERT设置由位于正方形角(约1.3英寸)的4个仪器化微孔(约1.2 m深)上的48个埋入电极组成m个长边)围绕橙树,并在表面上以方形网格隔开间隔为0.1 m的24个微型电极。在监测过程中,我们收集了重复的ERT和时域反射法(TDR)土壤湿度测量值,土壤水采样值,橙树汁液流量测量值和EC数据。我们对土壤电特性随水分含量和孔隙水电导率进行了实验室校准。可获得灌溉,降水,树液流量和ET数据,从而了解系统对系统的长期强迫条件。该信息用于校准一维Richards方程模型,该模型表示通过3-D ERT监视的体积动态。有关土壤水力学特性的信息是从实验室和野外实验中收集的。校准建模练习的成功结果可以量化对根系吸水量(RWU)感兴趣的土壤体积。该体积比经典滴灌方案的设计中所预期和设想的要小得多(表面积小于2 m(2),约40 cm厚),而经典滴灌方案的设计证明至少损失了一半的灌溉水。没有被植物吸收。

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