STH-net:一个模型驱动的土壤监测网络,用于从土壤到山坡尺度的基于过程的水文建模

E. Martini, Simon Kögler, M. Kreck, K. Roth, U. Werban, U. Wollschläger, S. Zacharias
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引用次数: 0

摘要

摘要Schafertal山坡场址是TERENO Harz/德国中部低地观测站的一部分,其土壤水动态正在作为一个综合、长期、多尺度和多时间研究框架的一部分进行密切监测,该框架将水文、土壤学、大气和与生物多样性有关的研究联系起来,以调查气候和土地利用变化对陆地系统的影响。在这里,最近实施了一个新的土壤监测网络,称为STH-net,以提供有关最相关的水文变量和当地土壤性质的高分辨率数据。监测网络在空间上进行了优化,基于以前的土壤制图和土壤湿度监测知识,以便捕捉整个场地以及深度上的土壤性质和土壤水动力学的空间变异性。地网包括8个台站,配备时域反射探针、土壤温度探针和压力计。此外,气象站提供有关气象变量的数据。对于安装TDR探针的地点,存在详细的土壤特征。所有数据自2019年1月1日起每隔10分钟测量一次。STH-net旨在为科学家提供所需的高质量数据,以便在从土壤到山坡的空间尺度上开发和测试水汽带水文学背景下的建模方法。数据可从EUDAT门户网站(https://b2share.eudat.eu/records/e2a2135bb1634a97abcedf8a461c0909)获得(Martini et al., 2020)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STH-net: a model-driven soil monitoring network for process-based hydrological modelling from the pedon to the hillslope scale
Abstract. The Schafertal hillslope site is part of the TERENO Harz/Central German Lowland Observatory and its soil water dynamics is being monitored intensively as part of an integrated, long-term, multi-scale and multi-temporal research framework linking hydrological, pedological, atmospheric and biodiversity-related research to investigate the influences of climate and land use change on the terrestrial system. Here, a new soil monitoring network, indicated as STH-net, has been recently implemented to provide high-resolution data about the most relevant hydrological variables and local soil properties. The monitoring network is spatially optimized, based on previous knowledge from soil mapping and soil moisture monitoring, in order to capture the spatial variability of soil properties and soil water dynamics along a catena across the site as well as in depth. The STH-net comprises eight stations instrumented with time-domain reflectometry (TDR) probes, soil temperature probes and piezometers. Furthermore, a weather station provides data about the meteorological variables. A detailed soil characterization exists for locations where the TDR probes are installed. All data are measured at a 10-minutes interval since January 1st, 2019. The STH-net is intended to provide scientists with high-quality data needed for developing and testing modelling approaches in the context of vadose-zone hydrology at spatial scales ranging from the pedon to the hillslope. The data are available from the EUDAT portal ( https://b2share.eudat.eu/records/e2a2135bb1634a97abcedf8a461c0909 ) (Martini et al., 2020).
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