气候变化领域集成服务门户(CCPortal): Designing sensor networks to resolve spatiooral urban temperature variations: Fixed, mobile or hybrid?

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DOI	10.1088/1748-9326/ab25f8
	Designing sensor networks to resolve spatiooral urban temperature variations: Fixed, mobile or hybrid?
	Yang J.; Bou-Zeid E.
发表日期	2019
ISSN	17489318
卷号	14 期号:7
英文摘要	The spatiooral variability of temperatures in cities impacts human well-being, particularly in a large metropolis. Low-cost sensors now allow the observation of urban temperatures at a much finer resolution, and, in recent years, there has been a proliferation of fixed and mobile monitoring networks. However, how to design such networks to maximize the information content of collected data remains an open challenge. In this study, we investigate the performance of different measurement networks and strategies by deploying virtual sensors to sample the temperature data set in high-resolution weather simulations in four American cities. Results show that, with proper designs and a sufficient number of sensors, fixed networks can capture the spatiooral variations of temperatures within the cities reasonably well. Based on the simulation study, the key to optimizing fixed sensor location is to capture the whole range of impervious fractions. Randomly moving mobile systems consistently outperform optimized fixed systems in measuring the trend of monthly mean temperatures, but they underperform in detecting mean daily maximum temperatures with errors up to 5 °C. For both networks, the grand challenge is to capture anomalous temperatures under extreme events of short duration, such as heat waves. Here, we show that hybrid networks are more robust systems under extreme events, reducing errors by more than 50%, because the time span of extreme events detected by fixed sensors and the spatial information measured by mobile sensors can complement each other. The main conclusion of this study concerns the importance of optimizing network design for enhancing the effectiveness of urban measurements. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	Meteorological measurement; sensor network optimization; urban heat island; urban monitoring network
语种	英语
scopus关键词	Sensor networks; Information contents; Maximum temperature; Measurement networks; Meteorological measurements; Network optimization; Spatial informations; Urban heat island; Urban monitoring; Atmospheric temperature
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154501
作者单位	Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States
推荐引用方式 GB/T 7714	Yang J.,Bou-Zeid E.. Designing sensor networks to resolve spatiooral urban temperature variations: Fixed, mobile or hybrid?[J],2019,14(7).
APA	Yang J.,&Bou-Zeid E..(2019).Designing sensor networks to resolve spatiooral urban temperature variations: Fixed, mobile or hybrid?.Environmental Research Letters,14(7).
MLA	Yang J.,et al."Designing sensor networks to resolve spatiooral urban temperature variations: Fixed, mobile or hybrid?".Environmental Research Letters 14.7(2019).