When businesses close for a week and people travel to rural areas to celebrate the holiday, temperatures in Chinese provincial capitals drop.
25 January 2023
AGU press contact:
Liza Lester, +1 (202) 777-7494, [email protected] (UTC-5 hours)
Contact information for the researchers:
Zihan Liu, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, China, [email protected] (UTC+8 hours)
WASHINGTON — During the week-long Chinese New Year, also known as the Lunar New Year, work is suspended, businesses close and nearly three billion people leave cities to join their families in rural areas for traditional gatherings. The holiday is the largest short-term suspension in human activity on Earth and, according to a new study, is associated with lower temperatures in 31 major Chinese cities during that period.
The study was published in AGU’s Geophysical Research Letters, which publishes high-impact, short-format reports with immediate implications spanning all Earth and space sciences.
Urban infrastructure retains more heat than natural landscapes or farmland, making cities up to 4 degrees Celsius (7 degrees Fahrenheit) warmer than surrounding areas, an effect called the urban heat island.
Infrastructure, such as roads and sidewalks, absorb more heat than areas covered with grass and trees. Driving, air-conditioning, heating, building operations and industrial facilities are all examples of human activities that emit heat and also contribute to increased temperatures in cities. When sustained over long periods, these activities can exacerbate warming by releasing greenhouse gases.
“This study stresses the importance of anthropogenic heat-generating activities to urban climate, and particularly the urban heat island,” said Zihan Liu, an Earth system scientist and corresponding author of this study.
Urban heat island intensity – the difference in temperature between urban areas and their rural surroundings – was determined by looking at differences in on-the-ground air temperatures. Using both satellite data and hourly air temperature data collected from ground-based meteorological observation networks from 2017 to 2019, the study found that, during the New Year, the reduction in human activity was enough to lower the average urban heat island intensity in 31 cities by 33 percent on average. This corresponded with an average drop in surface air temperature of 0.35 degrees Celsius (0.63 degrees Fahrenheit) in cities.
The heat reduction was significantly less pronounced in the outskirts of the cities, suggesting that the more populated city centers experience larger swings in heat intensity variability when there are changes in human activities.
“Many people leave megacities, such as Beijing and Shanghai, to travel to small cities and rural areas for traditional family gatherings,” Liu said. “This mass human migration from large cities results in abruptly decreased anthropogenic heat-generating activities that noticeably impact urban climate.”
According to Liu, anthropogenic heat release is a major contributor to warming in urban areas, and this study implies that urban heat mitigation during warmer times of the year when people are at risk from extreme temperatures could benefit people living in cities throughout China.
In a similar study published January 2022 in AGU’s Geophysical Research Letters, Liu and his colleagues found that the urban heat island intensities in major cities throughout China dropped in response to a reduction in human activities during the COVID-19 lockdowns – another example of how changes in human behavior can alter the environment.
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Contributed by Kirsten Steinke
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Notes for Journalists:
This study is published with open access. Neither the paper nor this press release is under embargo. Download a PDF copy of the paper here.
Paper title:
“Urban-rural gradient in urban heat island variations responsive to large-scale human activity changes during Chinese New Year holiday”
Authors:
- W. Zhan, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, China and Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China
- Z. Liu (corresponding author), J. Li, J. Lai, H. Fu, L. Li, F. Huang, C. Wang, and Y. Chen, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, China
- B. Bechtel, Department of Geography, Ruhr-University Bochum, Bochum, Germany