Lu Sen, Ren Tusheng, Lu Yili, Meng Ping, Sun Shiyou
Key Laboratory of Tree Breeding and Cultivation of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; Collaborative Innovation Center of Sustaintable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.
Department of Soil and Water, China Agricultural University, Beijing 100193, China.
PLoS One. 2014 Dec 2;9(12):e113518. doi: 10.1371/journal.pone.0113518. eCollection 2014.
Accurate estimation of soil water retention curve (SWRC) at the dry region is required to describe the relation between soil water content and matric suction from saturation to oven dryness. In this study, the extrapolative capability of two models for predicting the complete SWRC from limited ranges of soil water retention data was evaluated. When the model parameters were obtained from SWRC data in the 0-1500 kPa range, the FX model (Fredlund and Xing, 1994) estimations agreed well with measurements from saturation to oven dryness with RMSEs less than 0.01. The GG model (Groenevelt and Grant, 2004) produced larger errors at the dry region, with significantly larger RMSEs and MEs than the FX model. Further evaluations indicated that when SWRC measurements in the 0-100 kPa suction range was applied for model establishment, the FX model was capable of producing acceptable SWRCs across the entire water content range. For a higher accuracy, the FX model requires soil water retention data at least in the 0- to 300-kPa range to extend the SWRC to oven dryness. Comparing with the Khlosi et al. (2006) model, which requires measurements in the 0-500 kPa range to reproduce the complete SWRCs, the FX model has the advantage of requiring less SWRC measurements. Thus the FX modeling approach has the potential to eliminate the processes for measuring soil water retention in the dry range.
为了描述从饱和状态到烘干状态下土壤含水量与基质吸力之间的关系,需要准确估算干旱地区的土壤水分保持曲线(SWRC)。在本研究中,评估了两种模型从有限范围的土壤水分保持数据预测完整SWRC的外推能力。当模型参数从0 - 1500 kPa范围内的SWRC数据获得时,FX模型(Fredlund和Xing,1994)的估算值与从饱和状态到烘干状态的测量值吻合良好,均方根误差(RMSE)小于0.01。GG模型(Groenevelt和Grant,2004)在干旱地区产生的误差较大,其RMSE和平均误差(ME)明显大于FX模型。进一步评估表明,当在0 - 100 kPa吸力范围内的SWRC测量值用于模型建立时,FX模型能够在整个含水量范围内产生可接受的SWRC。为了获得更高的精度,FX模型需要至少在0 - 300 kPa范围内的土壤水分保持数据,以将SWRC扩展到烘干状态。与Khlosi等人(2006)的模型相比,该模型需要在0 - 500 kPa范围内进行测量才能重现完整的SWRC,FX模型具有所需SWRC测量值较少的优势。因此,FX建模方法有可能省去在干旱范围内测量土壤水分保持的过程。