Shuster W D, Schifman Laura, Kelleher Christa, Golden Heather E, Bhaskar Aditi S, Parolari Anthony J, Stewart Ryan D, Herrmann Dustin L
Department of Civil and Environmental Engineering, College of Engineering, Wayne State University, Detroit, Michigan, USA.
Bureau of Water Resources, Massachusetts Department of Environmental Protection, Boston, Massachusetts, USA.
J Am Water Resour Assoc. 2021 Jun 2;57(3):493-504. doi: 10.1111/1752-1688.12918.
Hydraulic conductivity () is a key hydrologic parameter widely recognized to be difficult to estimate and constrain, with little consistent assessment in disturbed, urbanized soils. To estimate , it is either measured, or simulated by pedotransfer functions, which relate to easily measured soil properties. We measured in urbanized soils by double-ring infiltrometer ( ), near-saturated tension infiltrometry ( ), and constant head borehole permeametry ( ), along with other soil properties across the major soil orders in 12 United States cities. We compared measured with that predicted from the pedotransfer function, ROSETTA. We found that regardless of soil texture, was consistently larger than ; with the latter having slightly less sample variance. was dependent upon specific subsurface conditions, and contrary to common expectations, did not always decrease with depth. Based on either soil textural class, or percent textural separates (sand, silt clay), ROSETTA did not accurately predict measured for surface nor subsurface soils. We go on to discuss how varies in urban landscapes, the role of measurement methods and artifacts in the perception of this metric, and implications for hydrologic modeling. Overall, we aim to inspire consistency and coherence when addressing -related challenges in sustainable urban water management.
水力传导率()是一个关键的水文参数,人们普遍认为其难以估计和确定,在受干扰的城市化土壤中几乎没有一致的评估。为了估计,要么进行测量,要么通过土壤传递函数进行模拟,土壤传递函数将与易于测量的土壤特性相关联。我们在美国12个城市的主要土壤类型中,通过双环入渗仪()、近饱和张力入渗仪()和常水头钻孔渗透仪()测量了城市化土壤中的,以及其他土壤特性。我们将测量得到的与土壤传递函数ROSETTA预测的值进行了比较。我们发现,无论土壤质地如何,始终大于;后者的样本方差略小。取决于特定的地下条件,与普遍预期相反,并不总是随深度降低。基于土壤质地类别或质地分离百分比(砂、粉砂、黏土),ROSETTA无法准确预测表层和地下土壤的测量值。我们接着讨论了在城市景观中如何变化,测量方法和人为因素在该指标认知中的作用,以及对水文建模的影响。总体而言,我们旨在激发在应对可持续城市水管理中与相关挑战时的一致性和连贯性。