The Lowry approach (1977) sets the framework for evaluating the meteorological effects of the urban heat island (UHI), by describing it as the superposition of “background”, “local” and “urban” climates. In this paper, by adapting this framework to the study of UHI countermeasures, we propose a statistical method suited for assessing their effects in the field. The framework demonstrates that direct comparisons between case and control sites cannot isolate the impacts of UHI countermeasure. It also shows that the interstation differences before and after countermeasure implementation cannot be considered as statistically independent. Consequently, statistical procedures suited for handling dependent observations are necessary such as a linear mixed or fixed effects model. As a case study, experimental data from pavement-watering experiments conducted in Paris since 2013 are used, with the goal of assessing its cooling effects for two different watering strategies. With the fixed effects model, long-lasting statistically-significant effects are found. Results indicate beneficial thermal effects for pedestrians with reductions of UTCI-equivalent temperature up to 2 °C, and duration of statistically-significant effects directly linked to the watered surface area. The method is limited by the number of measurements that must be gathered both before and after the UHI countermeasure implementation.

Lowry方法（1977年）通过将其描述为“背景”，“本地”和“城市”气候的叠加，为评估城市热岛（UHI）的气象效应建立了框架。在本文中，通过使该框架适合UHI对策的研究，我们提出了一种适合评估其在实地效果的统计方法。该框架表明，病例和对照地点之间的直接比较无法隔离UHI对策的影响。这也表明，对策实施前后的站间差异不能视为统计上独立的。因此，必须采用适合处理相关观测的统计程序，例如线性混合或固定效应模型。作为案例研究 使用自2013年以来在巴黎进行的路面浇水实验的实验数据，目的是评估两种不同浇水策略的冷却效果。使用固定效应模型，可以发现持久的统计显着效应。结果表明，行人受益于热效应，其UTCI等效温度降低了2°C，并且统计显着效应的持续时间与浇水表面积直接相关。该方法受到在实施UHI对策之前和之后必须收集的测量数量的限制。结果表明，行人受益于热效应，其UTCI等效温度降低了2°C，并且统计显着效应的持续时间与浇水表面积直接相关。该方法受到在实施UHI对策之前和之后必须收集的测量数量的限制。结果表明，行人受益于热效应，其UTCI等效温度降低了2°C，并且统计显着效应的持续时间与浇水表面积直接相关。该方法受到在实施UHI对策之前和之后必须收集的测量数量的限制。