4.7 Article

Modeling potential air temperature reductions yielded by cool roofs and urban irrigation in the Kansas City Metropolitan Area

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URBAN CLIMATE
卷 37, 期 -, 页码 -

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DOI: 10.1016/j.uclim.2021.100833

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  1. State and Local Solution Center of the U.S. Department of Energy
  2. Building Technologies Office of the U.S. Department of Energy [DE-AC02-05CH11231]

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This study evaluates two strategies, reflective cool roofs and urban irrigation, for mitigating urban heat island (UHI) effects in the Kansas City Metropolitan Area (KCMA). Results indicate that urban irrigation is more effective than cool roofs in reducing temperatures under typical summer conditions and during historical heat waves. The study also suggests that enhancing roof albedos can influence precipitation in WRF simulations, particularly during heat waves.
We evaluate two mitigation strategies for urban heat island (UHI) in the Kansas City Metropolitan Area (KCMA). Using the Weather Research and Forecasting (WRF) model, we assess the potential benefits of reflective cool roofs and urban irrigation on air temperature in typical summer conditions between 2011 and 2015, and during six of the strongest historical heat waves from 2005 to 2016. Under the typical summer conditions, we simulate 2-m air temperature for 10 summer weeks, finding average daytime (07:00-19:00 local time) temperature reductions of 0.08 and 0.28 degrees C for cool roofs and urban irrigation, respectively. During the six heat-wave episodes, we find daytime temperature reductions of 0.02 and 0.26 degrees C for the two scenarios, similar to those under typical summer conditions. Our results suggest that urban irrigation can be more efficient than cool roofs in mitigating UHI in metropolitan regions where the majority of the land cover is comprised of areas with low urban (i.e., non-vegetated) fractions. Finally, we find the alteration of surface conditions due to enhanced roof albedos influences precipitation within the WRF simulation, in particular during the heat waves. Further research would be necessary to determine the robustness of this last finding.

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