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Addressing soil data needs and data gaps in catchment-scale environmental modelling: the European perspective
Soil ( IF 5.8 ) Pub Date : 2024-09-09 , DOI: 10.5194/soil-10-587-2024
Brigitta Szabó , Piroska Kassai , Svajunas Plunge , Attila Nemes , Péter Braun , Michael Strauch , Felix Witing , János Mészáros , Natalja Čerkasova

Abstract. To effectively guide agricultural management planning strategies and policy, it is important to simulate water quantity and quality patterns and to quantify the impact of land use and climate change on soil functions, soil health, and hydrological and other underlying processes. Environmental models that depict alterations in surface and groundwater quality and quantity at the catchment scale require substantial input, particularly concerning movement and retention in the unsaturated zone. Over the past few decades, numerous soil information sources, containing structured data on diverse basic and advanced soil parameters, alongside innovative solutions to estimate missing soil data, have become increasingly available. This study aims to (i) catalogue open-source soil datasets and pedotransfer functions (PTFs) applicable in simulation studies across European catchments; (ii) evaluate the performance of selected PTFs; and (iii) present compiled R scripts proposing estimation solutions to address soil physical, hydraulic, and chemical data needs and gaps in catchment-scale environmental modelling in Europe. Our focus encompassed basic soil properties, bulk density, porosity, albedo, soil erodibility factor, field capacity, wilting point, available water capacity, saturated hydraulic conductivity, and phosphorus content. We aim to recommend widely supported data sources and pioneering prediction methods that maintain physical consistency and present them through streamlined workflows.

中文翻译:


解决流域规模环境建模中的土壤数据需求和数据缺口:欧洲视角



摘要。为了有效指导农业管理规划战略和政策,模拟水量和水质模式并量化土地利用和气候变化对土壤功能、土壤健康以及水文和其他潜在过程的影响非常重要。描述流域规模地表水和地下水质量和水量变化的环境模型需要大量投入,特别是在非饱和带的移动和滞留方面。在过去的几十年中,包含各种基本和高级土壤参数的结构化数据以及估计缺失土壤数据的创新解决方案的大量土壤信息源已变得越来越可用。本研究的目的是 (i) 对适用于欧洲流域模拟研究的开源土壤数据集和土壤传递函数 (PTF) 进行分类; (ii) 评估选定 PTF 的绩效; (iii) 展示已编译的 R 脚本,提出估计解决方案,以解决欧洲流域规模环境建模中的土壤物理、水力和化学数据需求以及差距。我们的重点包括基本土壤特性、容重、孔隙度、反照率、土壤侵蚀系数、田间持水量、萎蔫点、可用水容量、饱和导水率和磷含量。我们的目标是推荐广泛支持的数据源和开创性的预测方法,以保持物理一致性并通过简化的工作流程呈现它们。
更新日期:2024-09-09
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