Storm Event Flow Data from an Industrial Cutaway Peatland, Ireland

This flow dataset was collected alongside water quality data to test the hypothesis that effluents from degraded peatland catchments exhibit high temporal variability and pose a year-round risk to surface waters. Flow was measured at high resolution (1–5-minute intervals) at the outlet of an industrial cutaway raised bog catchment in Ireland during 14 storm events of varying intensities. This dataset provides insights into flow dynamics, including the rise, peak, and recession phases of storm events, and their relationships with water quality. The storm events were classified based on peak flow, with six events having peak flows <15 L/s and eight events exceeding 30 L/s. Our findings support the hypothesis, revealing strong temporal variability in water quality between storm events, partly influenced by flow intensity. Regression models and correlation analyses identified rainfall (used as a proxy for flow) as a key driver of this variability. These data contribute to a better understanding of the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream water quality.本数据集与水质数据同步采集，用于验证如下假说：退化泥炭地集水区的径流具有高度时间变异性，且全年对地表水构成风险。本次研究在爱尔兰某工业开采型剥离高位泥炭沼泽集水区的出水口处，针对14场不同强度的暴雨事件，以1至5分钟的高分辨率间隔测定了流量。本数据集可为解析流量动态特征提供支撑，涵盖暴雨事件的涨水、洪峰与退水阶段，及其与水质的关联关系。 本次暴雨事件按洪峰流量进行分级：6次事件的洪峰流量小于15升每秒，8次事件的洪峰流量超过30升每秒。 本研究结果验证了前述假说，结果显示暴雨事件间的水质存在显著时间变异性，且该变异性部分受流量强度影响。通过回归模型与相关性分析，明确了降雨（被用作流量的替代指标）是该变异性的关键驱动因子。本数据集有助于深化对退化泥炭地集水区水文地球化学动态及其对下游水质影响的认知。