Szabó Brigitta, Mészáros János, Laborczi Annamária, Takács Katalin, Szatmári Gábor, Bakacsi Zsófia, Makó András, Pásztor László
Institute for Soil Sciences, HUN-REN Centre for Agricultural Research, Herman Ottó út 15, 1022 Budapest, Hungary; National Laboratory for Water Science and Water Safety, Herman Ottó út 15, 1022 Budapest, Hungary.
Institute for Soil Sciences, HUN-REN Centre for Agricultural Research, Herman Ottó út 15, 1022 Budapest, Hungary; National Laboratory for Water Science and Water Safety, Herman Ottó út 15, 1022 Budapest, Hungary.
Sci Total Environ. 2024 Apr 15;921:171258. doi: 10.1016/j.scitotenv.2024.171258. Epub 2024 Feb 26.
Spatially explicit, quantitative information on soil hydraulic properties is required in various modelling schemes. At European scale, EU-SoilHydroGrids proved its applicability in a number of studies, in ecological predictions, geological and hydrological hazard assessment, agri-environmental models, among others. Inspired by its continental antecedent, an analogous, but larger scale, national, 3D soil hydraulic database was elaborated for the territory of Hungary (HU-SoilHydroGrids) supported by various improvements (i-iv) in the computation process. Pedotransfer functions (PTFs) were built in the form of i) advanced machine learning methods and ensemble models, and trained on the ii) national soil hydrophysical dataset. The set of predictors used in PTFs was supplemented by iii) additional environmental auxiliary variables. Spatial layers of the soil hydraulic parameters were generated using iv) 100 m resolution information on primary soil properties, namely DOSoReMI.hu. HU-SoilHydroGrids provides information on the most frequently required soil hydraulic properties (water content at saturation, field capacity and wilting point, saturated hydraulic conductivity and van Genuchten parameters for the description of the moisture retention curve) with national coverage at 100 m spatial resolution down to 2 m depth for six GSM standard depth layers. The HU-SoilHydroGrids has significantly lower squared error in the case of describing the moisture retention curve and hydraulic conductivity than the EU-SoilHydroGrids. The derived 3D soil hydraulic database (ver1.0) is presently available in National Laboratory for Water Science and Water Safety for project partners in order to test its functional performance in describing hydrological and ecological processes.
在各种建模方案中,都需要有关土壤水力特性的空间明确的定量信息。在欧洲尺度上,欧盟土壤水文网格(EU-SoilHydroGrids)已在许多研究、生态预测、地质和水文灾害评估、农业环境模型等方面证明了其适用性。受其欧洲大陆前身的启发,在计算过程中通过各种改进(i-iv),为匈牙利领土精心构建了一个类似但规模更大的国家级3D土壤水力数据库(HU-SoilHydroGrids)。土壤传递函数(PTFs)以以下形式构建:i)先进的机器学习方法和集成模型,并在ii)国家土壤水物理数据集上进行训练。PTFs中使用的预测变量集通过iii)额外的环境辅助变量进行补充。利用iv)关于主要土壤特性的100米分辨率信息,即DOSoReMI.hu,生成了土壤水力参数的空间层。HU-SoilHydroGrids提供了最常需要的土壤水力特性信息(饱和含水量、田间持水量和凋萎点、饱和导水率以及用于描述水分保持曲线的van Genuchten参数),在100米空间分辨率下覆盖全国,深度达2米,共六个GSM标准深度层。在描述水分保持曲线和导水率方面,HU-SoilHydroGrids的平方误差明显低于EU-SoilHydroGrids。目前,已导出的3D土壤水力数据库(版本1.0)可在国家水科学与水安全实验室供项目合作伙伴使用,以测试其在描述水文和生态过程中的功能性能。