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首页> 外文期刊>Journal of Hydrology >Mapping the response of volumetric soil water content to an intense rainfall event at the field scale using GPR
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Mapping the response of volumetric soil water content to an intense rainfall event at the field scale using GPR

机译:使用GPR将体积土壤含水量的响应映射到现场规模处的强烈降雨事件

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Ground-penetrating radar (GPR) is a convenient tool for volumetric soil water content (VSWC) estimation in hydrological and agricultural studies. Although case studies have been widely carried out, little attention has been paid to subsoil moisture estimates. In this research, we investigated three-dimensional soil moisture variation down to a depth of 1 m and the effect of rainfall events on spatial soil moisture dynamics. GPR surveying lines were conducted both before and after a heavy rainfall event to map the VSWC. Soil sampling and time domain reflectometry (TDR) probe data at different depths (20, 40, 60, 80, and 100 cm) were acquired. Our results demonstrated that there was a significant correlation between the dielectric constants and VSWCs at all depths. The established relationships for the different depth ranges had a low VSWC discrepancy when the dielectric constants ranged from 10 to 15. The effective range of each variogram was larger than 20 m, except for that of the 0-100 cm VSWC map after rainfall. In addition, the validation diagrams using corrected TDR values demonstrated relatively reliable VSWC maps. Approximately 89% of the variation in VSWC could be explained by the dielectric constants in the depth range of 0-40 cm, and VSWC predictions at this soil depth outperformed those at other depth ranges, with an overall RMSE of 0.027 m(3) m(-3) and R-2 of 0.725. Furthermore, we also monitored the effect of precipitation on the accuracy of the VSWC prediction on shallow surfaces. Our study shows that three-dimensional soil moisture dynamics can be accurately estimated at the field scale by integrating GPR interpretation and spatial extrapolation methods.
机译:地面穿透雷达(GPR)是水文和农业研究中体积土壤含水量(VSCC)估计的方便工具。虽然案例研究已被广泛开展,但对底土水分估算有何关注。在这项研究中,我们调查了三维土壤水分变化,深度为1米,降雨事件对空间土壤水分动力学的影响。 GPR测量线在映射VSCC的大雨事件之前和之后进行。在不同深度(20,40,60,80和100厘米处的土壤采样和时域反射区(TDR)探针数据被获取。我们的结果表明,介电常数和所有深度之间的VSWC之间存在显着相关性。当介电常数范围为10至15时,不同深度范围的建立的关系具有低VSWC差异。每个变速仪的有效范围大于20米,除了降雨后的0-100cm VSCC地图。此外,使用校正TDR值的验证图表展示了相对可靠的VSCC映射。 VSWC中大约89%的介质常数在0-40cm的深度范围内的介电常数解释,并且在这种土壤深度的VSWC预测上表现出在其他深度范围的情况下,整体RMSE为0.027米(3)米(-3)和0.725的R-2。此外,我们还监测了降水对浅层表面上VSWC预测的准确性的影响。我们的研究表明,通过整合GPR解释和空间外推方法,可以在现场规模准确地估计三维土壤水分动力学。

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