Urban Green DaMS: Evapotranspiration in Bioretention Systems Data

A full description of the data and experimental methods used to obtain it is presented in the README file.

Abstract of article
Evapotranspiration is a key hydrological process for reducing stormwater runoff in bioretention systems, regardless of their physical configuration. Understanding the volumes of stormwater that can be returned to the atmosphere via evapotranspiration is, therefore, a key consideration in the design of any bioretention system. This study establishes the evapotranspiration dynamics of three common, structurally different, bioretention vegetation treatments (an Amenity Grass mix, and mono-cultures of Deschampsia cespitosa and Iris sibirica) compared with an un-vegetated control using lab-scale column experiments. Via continuous mass and moisture loss data, observed evapotranspiration rates were compared with those predicted by the FAO-56 Penman–Monteith model for five 14-day dry periods during Spring 2021, Summer 2021, and Spring 2022. Soil moisture reductions over the 14-day trials led to reduced rates of evapotranspiration. This necessitated the use of a soil moisture extraction function alongside a crop coefficient to represent actual evapotranspiration from FAO-56 Penman–Monteith reference evapotranspiration estimates. Crop coefficients varied between 0.65 and 2.91, with a value of 1.0 identified as a recommended default value in the absence of treatment-specific empirical data. A continuous hydrological model with [] and a loading ratio of 10:1 showed that evapotranspiration could account for between 1 and 12% of the annual water budget for a bioretention system located in the UK and Ireland, increasing to a maximum of 35% when using the highest  observed (2.91).

本数据集的详尽描述及其获取所采用的方法均呈现于README文件中。

论文摘要：蒸散量是调节生物滞留系统中暴雨径流的关键水文过程，无论其物理构型如何。因此，理解通过蒸散将暴雨径流体积返回大气中的能力，是设计任何生物滞留系统时的关键考量。本研究通过实验室规模的柱状实验，对比了三种常见、结构不同的生物滞留植被处理（景观草坪混合、Deschampsia cespitosa和Iris sibirica的单一种植）与未种植控制组之间的蒸散动态。利用连续的质量和水分损失数据，观测到的蒸散速率与FAO-56 Penman–Monteith模型预测的速率在2021年春季、夏季以及2022年春季的五次14天干旱期进行了比较。14天试验期间土壤水分的减少导致了蒸散速率的降低。这促使在FAO-56 Penman–Monteith参考蒸散估计值的基础上，使用土壤水分提取函数与作物系数来表示实际蒸散。作物系数介于0.65至2.91之间，在缺乏特定处理经验数据的情况下，1.0的值被推荐作为默认值。一个具有[空缺内容]和10:1的加载比的连续水文模型表明，蒸散可占位于英国和爱尔兰的生物滞留系统年水预算的1%至12%，在采用最高观测值（2.91）时，这一比例可增至35%。