Sándor Renáta, Fodor Nándor
Centre for Agricultural Research, Hungarian Academy of Sciences, 2462 Martonvásár, Hungary.
ScientificWorldJournal. 2012;2012:590287. doi: 10.1100/2012/590287. Epub 2012 Jun 18.
This paper presents two soil temperature models with empirical and mechanistic concepts. At the test site (calcaric arenosol), meteorological parameters as well as soil moisture content and temperature at 5 different depths were measured in an experiment with 8 parcels realizing the combinations of the fertilized, nonfertilized, irrigated, nonirrigated treatments in two replicates. Leaf area dynamics was also monitored. Soil temperature was calculated with the original and a modified version of CERES as well as with the HYDRUS-1D model. The simulated soil temperature values were compared to the observed ones. The vegetation reduced both the average soil temperature and its diurnal amplitude; therefore, considering the leaf area dynamics is important in modeling. The models underestimated the actual soil temperature and overestimated the temperature oscillation within the winter period. All models failed to account for the insulation effect of snow cover. The modified CERES provided explicitly more accurate soil temperature values than the original one. Though HYDRUS-1D provided more accurate soil temperature estimations, its superiority to CERES is not unequivocal as it requires more detailed inputs.
本文提出了两个具有经验和机理概念的土壤温度模型。在试验场地（石灰性砂质土），通过8个小区进行的试验，实现了施肥、不施肥、灌溉、不灌溉处理的两种重复组合，测量了气象参数以及5个不同深度处的土壤含水量和温度。还监测了叶面积动态。利用CERES的原始版本和修改版本以及HYDRUS-1D模型计算土壤温度。将模拟的土壤温度值与观测值进行比较。植被降低了土壤平均温度及其日振幅；因此，在建模时考虑叶面积动态很重要。这些模型低估了实际土壤温度，高估了冬季期间的温度振荡。所有模型都未能考虑积雪的保温效应。修改后的CERES比原始版本明确提供了更准确的土壤温度值。虽然HYDRUS-1D提供了更准确的土壤温度估计，但由于它需要更详细的输入，其相对于CERES的优势并不明确。
