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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Modeling the climate impacts of deploying solar reflective cool pavements in California cities
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Modeling the climate impacts of deploying solar reflective cool pavements in California cities

机译:建模部署太阳能的气候影响反光酷在加州城市人行道

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Solar reflective "cool pavements" have been proposed as a potential heat mitigation strategy for cities. However, previous research has not systematically investigated the extent to which cool pavements could reduce urban temperatures. In this study we investigated the climate impacts of widespread deployment of cool pavements in California cities. Using the Weather Research and Forecasting model, we simulated the current climate of California at 4 km spatial resolution. Comparing this simulation to 105 weather stations in California suggested an overall mean bias (model minus observation) of -0.30°C. Widespread pavement albedo increases of 0.1 and 0.4 in California cities were then simulated. Comparing temperature reductions for each scenario showed that the climate response to pavement albedo modification was nearly linear. Temperature reductions at 14:00 local standard time were found to be 0.32°C per 0.1 increase in grid cell average albedo. Temperature reductions were found to peak in the late morning and evening when (a) boundary layer heights were low and (b) solar irradiance (late morning) and heat accumulation in the pavement (evening) was high. Temperature reductions in summer were found to exceed those in winter, as expected. After scaling the results using realistic data-derived urban canyon morphologies and an off-line urban canyon albedo model, annual average surface air temperature reductions from increasing pavement albedo by 0.4 ranged from 0.18°C (Palm Springs) to 0.86°C (San Jose). The variation among cities was due to differences in baseline climate, size of the city, urban fraction, and urban morphology.
机译:太阳能反射人行道上“酷”提出作为一个潜在的热缓解策略为城市。系统地调查的程度人行道上可以降低城市温度降温。在这项研究中,我们调查了气候变化带来的影响酷的人行道上的广泛部署加州的城市。预测模型,我们模拟电流加州气候4公里的空间分辨率。比较模拟105个气象站在加州提出一个总体的意思是偏见(模型-观察)-0.30°C。人行道上反照率增加0.1和0.4的加州城市被模拟。为每个场景显示温度降低气候应对路面反射率修改几乎是线性的。减少当地标准时间14时许发现每0.1增加网格单元0.32°C平均反射率。在早上和晚上,当达到峰值(a)边界层高度较低和(b)太阳能辐照度(上午晚些时候)和蓄热在人行道上(晚上)高。减少在夏天被发现超过在冬天,如预期。使用实际数据城市峡谷形态和离线城市峡谷反照率模型中,年平均表面空气温度减少从人行道上反照率增加0.4范围从0.18°C(棕榈泉)到0.86°C (San何塞)。基准气候差异的大小城市,城市的一部分,和城市形态。

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