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Guo Y, Yan X, Xie W, Gao Z, Song S. Spatiotemporal changes in summer days (SU25) in China from 1961 to 2017 and associated circulation factors. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:100770-100784. [PMID: 37639088 DOI: 10.1007/s11356-023-29052-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/26/2023] [Indexed: 08/29/2023]
Abstract
Understanding the spatiotemporal variations in climate extremes indices, as well as the influencing factors, is critical to the scientific response to climate change. The temporal and spatial variations of SU25 (annual count of days when daily maximum temperature > 25 °C) were discussed in this study, based on daily maximum temperature data from 2398 meteorological stations in China from 1961 to 2017. The contributions of associated large-scale circulation factors to SU25 were quantitatively assessed by using the geographical detector method (GMD). The overall spatial distribution of SU25 was marked by a considerable increase from north to south. The SU25 increased significantly over time, with the national SU25 increasing at a rate of 2.5 days/decade. The Tibet Plateau (TP) had the slowest growth rate, with an average increase rate of 1.4 days/decade. The Hurst values of SU25 in all the subregions were generally high, indicating that most stations of SU25 would continue to increase in the future. Except for TP, the tipping years of other subregions were concentrated in the 1990s, and SU25 increased after the years. Among the large-scale circulation factors affecting SU25 in each subregion, Atlantic Multidecadal Oscillation (AMO) played a major role in SU25 variability. As a whole, the result of the pairwise interaction of each circulation factor was mainly nonlinear enhancement. The joint contributions of multiple factors to SU25 were larger than the contribution of each individual factor.
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Affiliation(s)
- Yuhong Guo
- College of Tourism, Resources and Environment, Zaozhuang University, Zaozhuang, 277160, China
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
| | - Xiaodong Yan
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
| | - Wenqiang Xie
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
| | - Zhibo Gao
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
| | - Shuaifeng Song
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
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Cheng Y, Yu Z, Xu C, Manoli G, Ren X, Zhang J, Liu Y, Yin R, Zhao B, Vejre H. Climatic and Economic Background Determine the Disparities in Urbanites' Expressed Happiness during the Summer Heat. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:10951-10961. [PMID: 37458710 DOI: 10.1021/acs.est.3c01765] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Climate-change-induced extreme weather events increase heat-related mortality and health risks for urbanites, which may also affect urbanites' expressed happiness (EH) and well-being. However, the links among EH, climate, and socioeconomic factors remain unclear. Here we collected ∼6 million geotagged tweets from 44 Chinese prefecture-level cities based on Sina Weibo and performed a quadratic regression model to explore the relationships between summer heat and EH. A three-stage analysis was developed to examine spatiotemporal heterogeneity and identify factors contributing to disparities in urbanites' EH. Results show that all cities exhibited a similar hump-shaped relationship, with an overall optimal temperature (OT) of 22.8 °C. The estimated OT varied geographically, with 25.3, 23.8, and 20.0 °C from north to south. Moreover, a 1 standard deviation increase in heatwave intensity was associated with a 0.813 (95% CI: 0.177, 1.449) standard deviation decrease in EH. Notably, within the geographic scope of this study, it was observed that urbanites in northern China and economically underdeveloped cities faced significantly lower heat risks during the summer heat. This research provides insight for future studies and practical applications concerning extreme weather events, urbanites' mental health, and sustainable urban development goal.
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Affiliation(s)
- Yingyi Cheng
- Department of Environmental Science and Engineering, Fudan University, Shanghai 2005, People's Republic of China
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Zhaowu Yu
- Department of Environmental Science and Engineering, Fudan University, Shanghai 2005, People's Republic of China
| | - Chi Xu
- School of Life Sciences, Nanjing University, Nanjing 210023, People's Republic of China
| | - Gabriele Manoli
- Laboratory of Urban and Environmental Systems, School of Architecture, Civil & Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
| | - Xiaopeng Ren
- Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
| | - Jinguang Zhang
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Yawen Liu
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Rui Yin
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Bing Zhao
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Henrik Vejre
- Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Copenhagen 1958, Denmark
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Wang P, Zhang W, Liu J, He P, Wang J, Huang L, Zhang B. Analysis and intervention of heatwave related economic loss: Comprehensive insights from supply, demand, and public expenditure into the relationship between the influencing factors. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 326:116654. [PMID: 36368197 DOI: 10.1016/j.jenvman.2022.116654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 10/12/2022] [Accepted: 10/27/2022] [Indexed: 06/16/2023]
Abstract
Increasing extreme temperatures are producing a serious impact on the economies of cities. However, the importance of social factors is typically neglected by the existing research. In this work, we first establish a supply-demand-public expenditure (SDP) framework for assessing and forecasting heat-related economic loss. Compared with the previous framework, SDP possesses a more comprehensive index system and functions that apply to all types of cities. We selected different economic development and geographical locations (Nanjing, Suzhou, and Yancheng) as case studies to verify the wide applicability of the SDP framework. A qualitative analysis and quantitative prediction of heatwaves and socioeconomic factors on losses were conducted for different cities. The results showed that different loss types displayed obvious regional heterogeneity among the cities. The labor value loss was the most significant type, and health loss was the most vulnerable type. In addition, public expenditure played a neglected critical regulatory role. Apart from these, the current level of public expenditure for heat prevention and control remains insufficient. Based on an assessment of the effects of interventions, policymakers need to make more efforts to increase the proportion of heat-related public spending and ensure stable socio-economic development by utilizing pathways with positive intervention potentials.
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Affiliation(s)
- Peng Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, People's Republic of China; Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, 212013, China
| | - Wendi Zhang
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, 212013, China
| | - Jiawen Liu
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, 212013, China
| | - Pan He
- School of Earth and Ocean Sciences, Cardiff University, Cardiff, CF10 3AT, UK
| | - Jiaming Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, People's Republic of China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, People's Republic of China.
| | - Bing Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, People's Republic of China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, China
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Huang J, Shen S, Zhao M, Cheng C. Assessment of Summer Regional Outdoor Heat Stress and Regional Comfort in the Beijing-Tianjin-Hebei Agglomeration Over the Last 40 Years. GEOHEALTH 2023; 7:e2022GH000725. [PMID: 36594002 PMCID: PMC9797114 DOI: 10.1029/2022gh000725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 11/24/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Outdoor thermal comfort (OTC) is critical for public health, labor productivity, and human life. Growing extreme heat events caused by climate change have a serious impact on OTCs, especially in urban areas. Quantitatively characterizing and evaluating the spatiotemporal changes in OTCs are essential, and more applications are needed in urban agglomerations. Therefore, taking the Beijing-Tianjin-Hebei (BTH) urban agglomeration as the study area, this study aimed to quantitatively assess the summer regional OTC from 1981 to 2020. First, the Universal Thermal Climate Index (UTCI) was used as the indicator of daily thermal stress, and then a Composite Thermal Comfort Score was proposed to evaluate the long-term, summertime, regional OTC considering the extent, duration, and intensity of daytime and nighttime thermal stress. The results showed that (a) the increase in UTCI (0.32°C/10a at daytime and 0.21°C/10a at nighttime) and heat stress frequency (0.88 at daytime and 0.39 d/10a at nighttime) were manifested over BTH, indicating a worse OTC. Spatial and temporal heterogeneity was also demonstrated. (b) The general OTC showed a decreasing north-south gradient pattern. At daytime, the northern mountainous zone presented the best OTC, the southern plain zone, especially Hengshui, Langfang, and Cangzhou, showed the worst. At nighttime, the mountain-plain transition zone showed the best OTC, the northern mountainous zone showed the worst since more cold stress occurred. Our findings will be useful in informing climate change adaptation strategies to ensure urban resilience as extreme heat increases in the context of climate change.
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Affiliation(s)
- Junwang Huang
- Key Laboratory of Environmental Change and Natural DisasterBeijing Normal UniversityBeijingChina
- State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijingChina
- Center for Geodata and AnalysisFaculty of Geographical ScienceBeijing Normal UniversityBeijingChina
| | - Shi Shen
- Key Laboratory of Environmental Change and Natural DisasterBeijing Normal UniversityBeijingChina
- State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijingChina
- Center for Geodata and AnalysisFaculty of Geographical ScienceBeijing Normal UniversityBeijingChina
| | - Min Zhao
- State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijingChina
- Center for Geodata and AnalysisFaculty of Geographical ScienceBeijing Normal UniversityBeijingChina
| | - Changxiu Cheng
- Key Laboratory of Environmental Change and Natural DisasterBeijing Normal UniversityBeijingChina
- State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijingChina
- National Tibetan Plateau Data CenterBeijingChina
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Abstract
Owing to amplified impacts on human society and ecosystems, compound events (or extremes) have attracted ample attention in recent decades. China is particularly vulnerable to compound events due to the fast warming rate, dense populations, and fragile ecological environment. Recent studies have demonstrated tangible effects of climate change on compound events with mounting impacts on the economy, agriculture, public health, and infrastructure in China, posing unprecedented threats that are increasingly difficult to manage. Here, I synthesize recent progress in studies of compound events and associated impacts in China. Several lines of evidence indicate an increase in the frequency and intensity of multiple types of compound events across China. Future directions in studying compound events in China are suggested, including investigating extremes from a compound perspective, modeling compound events in the Anthropocene, quantitative evaluations of risks, and holistic adaptation measures of compound events.
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Affiliation(s)
- Zengchao Hao
- College of Water Sciences, Beijing Normal University, Beijing, 100875, China
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Qian Y, Chakraborty TC, Li J, Li D, He C, Sarangi C, Chen F, Yang X, Leung LR. Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions. ADVANCES IN ATMOSPHERIC SCIENCES 2022; 39:819-860. [PMID: 35095158 PMCID: PMC8786627 DOI: 10.1007/s00376-021-1371-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 11/21/2021] [Accepted: 12/06/2021] [Indexed: 05/31/2023]
Abstract
Urban environments lie at the confluence of social, cultural, and economic activities and have unique biophysical characteristics due to continued infrastructure development that generally replaces natural landscapes with built-up structures. The vast majority of studies on urban perturbation of local weather and climate have been centered on the urban heat island (UHI) effect, referring to the higher temperature in cities compared to their natural surroundings. Besides the UHI effect and heat waves, urbanization also impacts atmospheric moisture, wind, boundary layer structure, cloud formation, dispersion of air pollutants, precipitation, and storms. In this review article, we first introduce the datasets and methods used in studying urban areas and their impacts through both observation and modeling and then summarize the scientific insights on the impact of urbanization on various aspects of regional climate and extreme weather based on more than 500 studies. We also highlight the major research gaps and challenges in our understanding of the impacts of urbanization and provide our perspective and recommendations for future research priorities and directions.
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Affiliation(s)
- Yun Qian
- Pacific Northwest National Laboratory, Richland, WA 99354 USA
| | - T. C. Chakraborty
- Pacific Northwest National Laboratory, Richland, WA 99354 USA
- Yale University, New Haven, CT 06520 USA
| | - Jianfeng Li
- Pacific Northwest National Laboratory, Richland, WA 99354 USA
| | - Dan Li
- Department of Earth and Environment, Boston University, Boston, MA 02215 USA
| | - Cenlin He
- National Center for Atmospheric Research, Boulder, CO 80301 USA
| | - Chandan Sarangi
- Indian Institute of Technology, Madras, Chennai, Tamil Nadu 600036 India
| | - Fei Chen
- National Center for Atmospheric Research, Boulder, CO 80301 USA
| | | | - L. Ruby Leung
- Pacific Northwest National Laboratory, Richland, WA 99354 USA
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