Joshi Prabhat, Naves Juan, Anta Jose, Maurer Max, Leitão João P
Institute of Environmental Engineering (IfU), ETH Zürich, Laura-Hezner-Weg 7, 8093 Zürich, Switzerland.
Department of Urban Water Management (SWW), Eawag, Überlandstrasse 133, 8600 Dübendorf, Switzerland.
Data Brief. 2025 Jan 28;59:111337. doi: 10.1016/j.dib.2025.111337. eCollection 2025 Apr.
This dataset contains raw and processed data from controlled experiments conducted in a rainfall simulator to quantify the impacts of incremental sand and leaf litter accumulation on the hydrological performance of blue-green infrastructure (BGI). The tests were conducted in a controlled indoor environment using two BGI boxes (approximately 3.84 m² each), representing a typical infiltration-based BGI setup with vegetation, a 6-cm deep substrate, and storage layers. Soil moisture sensors and tipping buckets were installed to measure underdrain flow. In one box, sand was incrementally added (2-18 kg.m²); in the other, leaf litter accumulation ranged from 0.3 to 1.725 kg (total). Each scenario received rainfall (16.66 mm.h for Box 1; 18.66 mm.h for Box 2) for 30 minutes, with intervals larger than four hours between tests. The dataset can be used to understand the impact of shock events that introduce high pollutant loads to the BGI surface and subsurface, affecting their hydrological performance. It can also be used to study the maintenance needs of BGI to sustain their hydrological functionality.
该数据集包含在降雨模拟器中进行的对照实验的原始数据和处理后的数据，以量化沙子和落叶层增量积累对蓝绿基础设施（BGI）水文性能的影响。实验在可控的室内环境中进行，使用两个BGI箱（每个约3.84平方米），代表一个典型的基于渗透的BGI设置，包括植被、6厘米深的基质和储存层。安装了土壤湿度传感器和翻斗式雨量计来测量排水流量。在一个箱子中，增量添加沙子（2 - 18千克·平方米）；在另一个箱子中，落叶层积累量范围为0.3至1.725千克（总量）。每个场景接受30分钟的降雨（箱1为16.66毫米·小时；箱2为18.66毫米·小时），测试之间的间隔大于4小时。该数据集可用于了解向BGI表面和地下引入高污染物负荷的冲击事件的影响，这些事件会影响其水文性能。它还可用于研究BGI维持其水文功能所需的维护需求。
