Nearby Cities Research Articles

Well supplied in life, set aside in death: A multi-isotope study of Justinian plague victims from Saint-Doulchard (France, 7th-8th centuries AD).

Justinian plague and its subsequent outbreaks were major events influencing Early Medieval Europe. One of the affected communities was the population of Saint-Doulchard in France, where plague victim burials were concentrated in a cemetery enclosure ditch. This study aimed to obtain more information about their life-histories using the tools of isotope analysis. Dietary analysis using carbon and nitrogen isotopes was conducted on 97 individuals buried at Le Pressoir in Saint-Doulchard, with 36 of those originating from the enclosure ditch. This sample set includes all individuals analyzed for plague DNA in a previous study. Mobility analysis using strontium isotope analysis supplements the dietary study, with 47 analyzed humans. The results are supported by a reference sample set of 31 animal specimens for dietary analysis and 9 for mobility analysis. The dietary analysis results showed significantly different dietary behavior in individuals from the ditch burials, with better access to higher quality foods richer in animal protein. 87Sr/86Sr ratios are similar for both studied groups and indicate a shared or similar area of origin. The results suggest that the ditch burials contain an urban population from the nearby city of Bourges, which overall had a better diet than the rural population from Saint-Doulchard. It is implied that city's population might have been subjected to high mortality rates during the plague outbreak(s), which led to their interment in nearby rural cemeteries.

Can place-based policy reduce carbon emissions? Evidence from industrial transformation and upgrading exemplary zone in China

The effect of the place-based policies on sustainable development has received substantial attention in economic research. In China, the industrial transformation and upgrading exemplary zone policy is a prominent example of such policies, as it targets old industrial and resource-based cities. The paper provides an early assessment of the policy’s capability to reduce carbon emissions. Specifically, we use data from old industrial and resource-based cities for the period of 2012–2019 and apply the difference-in-differences method to examine the policy’s influence on total carbon emissions and intensity. The results show that the policy can effectively reduce carbon emissions through reducing energy consumption, promoting urban green innovation and tertiary industry agglomeration. Compared to resource-based cities, cities with a low level of economic development and central, western cities, this impact is more notable in old industrial cities, cities with a high level of economic development and eastern cities. Additional analysis reveals that the policy has beneficial spatial radiation impacts on the nearby cities as well. In the meanwhile, the strategy may have a synergy effect on reducing carbon emissions and pollution. The results of this study may have an impact on how nations implement place-based policies and reduce carbon emissions.

Impact of Artificial Intelligence in Urban Tourism

Urban tourism involves travelling to cities that are quite near to the urban precincts. Huge quantum of people travel to nearby cities for entertainment and relaxation. The tourist authorities serve its customers with adequate resources and accessories on an updated mode. Even the advancement of artificial intelligence too reflected in the urban tourist segment in a highly profound manner as the influence of e-technology has highly benefited almost all countries throughout the world. The present study sprouts light into the significance of Artificial Intelligence (AI) in the urban tourist segment and it is analyzed that Artificial Intelligence plays a significant role in the tourism industry and is updated with its latest tools for a highly attractive and profitable tourist climate.

Comparative Assessment of Asartepe/Konya Hellenistic Period Settlement and Contemporary Urban Fabric

The village of Yeniceköy (Amblada), located in the Seydişehir/Konya provience, has a history dating back approximatelyten tousand years. It is estimated that the nearby city of Ververit has a history older than Çatalhöyük. The remains ofthe city wall, found to the east of Asartepe, are from the Hellenistic Period and indicate the presence of a large templein that era. Additionally, the wide plain to the west of Asartepe, referred to as the marketplace by the villagers, isbelieved to have been the city's agora during the Hellenistic period. Interaction between the ancient settlement andthe current one is observed, with many building materials from the ancient period being used in current buildings.Many of these materials contain decorative elements and embellishments from the Hellenistic period. Historicalresearch has been conducted on this region, which holds significant cultural depth, comparing the settlement fromancient times to the present day. Evaluations have been made considering the relationship between a Hellenisticperiod city and a modern city, with a focus on urban conservation.

Distribution of Projects Financed by Means of the National Rural Development Programs in Cluj-Napoca Metropolitan Area

Distribution of Projects Financed by Means of the National Rural Development Programs in Cluj-Napoca Metropolitan Area. The measures and sub-measures included in the National Rural Development Programs of 2007-2013 and 2014-2020 have also been accessed by the 19 communes of the Cluj-Napoca Metropolitan Area. The present paper focuses on the most significant measures and sub-measures of these programs, in relation to their main purpose (supporting the modernization of agriculture, encouraging the diversification of the rural economy and improving the standard and quality of life in rural areas) and the distribution of contracted projects (and submitted projects - where the case) in this area, an area developing under the socio-economic influence of the nearby city. While for some communes the influence of the city is quite visible, some other communes still preserve accentuated rural features, and these different trajectories are also mirrored in the types of submitted or contracted projects from such communes, in the context of these development programs. Keywords: rural development, Cluj-Napoca, metropolitan area, projects, National Rural Development Program.

Impact of Air Emission Reduction Measures during the Asian Games on Air Quality and Health Risks in Hangzhou and Surrounding Cities

The purpose of this study was to analyze the air quality in Hangzhou and its surrounding areas during the 2023 Asian Games and assess the impact of safeguard measures on air quality. By comparing air quality monitoring data from Hangzhou and nearby cities between 23 September 2023, and 8 October 2023, with the same period in 2022, the analysis focused on the changes in air quality and the impact of PM2.5 and O3 on human health. The results show that during the 2023 Asian Games in Hangzhou, compared to the same period in 2022, the concentrations of pollutants showed the following changes: PM10 and NO2 concentrations decreased by 16.1% and 34.1%, respectively. PM2.5, CO, and O3 concentrations increased by 0.9%, 9.5%, and 14.4%, respectively. Spatially, compared with the same period in 2022, the PM2.5 concentration in Quzhou City decreased the most, reaching 23%, while the PM2.5 concentration in Huzhou City increased the most, reaching 27.1%. The largest decrease in PM10 concentration is in Wenzhou City, which is up to 28.2%, while the largest increase is in Zhoushan City, which is 9.2%. The concentration of NO2 generally decreases in all regions, with the biggest decrease in Zhoushan City, which reaches 36.2%. The concentration of CO only decreases in Shaoxing, and the highest increase is in Huzhou City. In terms of O3, the largest proportion increase is 23% in Ningbo. During the 2023 Asian Games in Hangzhou, the number of deaths from all-cause and cardiovascular diseases caused by short-term exposure to PM2.5 was 1780 and 795, respectively, which was 8.2% lower than the same period in 2022. During the Asian Games, the number of deaths from all-cause and cardiovascular diseases due to short-term exposure to O3 was 7332 and 3177, respectively, an increase of 2.8% compared with the same period in 2022.

Intergenerationally tied relocation and care circulation: Motivations, struggles, and future arrangements

AbstractObjectiveThis study investigates the processes and experiences of intergenerationally tied relocation in which older parents from mainland China join their already migrated children in Hong Kong to provide domestic and childcare support.BackgroundStudies on tied migration have mainly focused on couple‐based moves within a human capital framework. With the increasing trend of grandparenting migrants, studies have expanded to address intergenerationally tied relocation.MethodWe conducted thematic analysis of in‐depth interview data of 34 mainland Chinese respondents, including 15 parent–child pairs and four adult children.ResultsThe decision to relocate is influenced by the established history of intergenerational supportive exchange relationships. The initial motivation for tied relocation is to benefit the adult children. Older parents' postrelocation experiences can affect their later decision to leave or remain, with key factors including financial dependence, emotional stress, and difficulty in balancing the duty of care between migrant children and distant family members. In planning for future eldercare, the goal is to meet the needs of both generations. Options include non‐coresidential care, reliance on the parents' hometown sibling network, or living in nearby mainland cities closer to Hong Kong.ConclusionThe study highlights the complex interplay of family relationships and responsibilities in the phenomenon of intergenerationally tied relocation. The findings unveil the dynamic roles and adaptive strategies families utilize to facilitate the transfer of care and support across generations and geographies.ImplicationsPolicy and services should be developed to assist aging immigrant families in their adaptation and integration, and formulate strategies for meeting future care needs.

Energy rights trading policy, spatial spillovers, and energy utilization performance: Evidence from Chinese cities

China initiated its first energy rights trading (ERT) pilot in 2016 and had plans to assess the policy's replicability in 2020. However, there is limited literature available that examines its influence on energy utilization performance (EUP). To complement this knowledge gap, the study investigates the impacts and mechanisms of ERT on EUP employing a spatial difference-in-difference (SDID) model. The findings reveal that: (1) ERT reduces local energy consumption significantly, increases green total factor energy efficiency, and enhances the EUP of neighboring cities within an 1100 km radius. (2) ERT indirectly enhances the EUP of local and neighboring cities through green innovation, transformation towards cleaner energy structures, and energy allocation. Notably, ERT boosts the local EUP via industrial structure upgrading but reduces the positive spillover effects on nearby cities due to the siphoning effect. (3) ERT exhibits more pronounced impacts and spillover effects on cities that are not resource-dependent and have higher levels of marketization. Interestingly, the central and western regions benefit more from the spillover effects of ERT. The findings of this study will serve as a valuable resource for advancing the implementation of ERT and offer critical insights for decision-makers focused on sustainable urban development.

Numerical analysis of the effect of hydrogen doping ratio on gas transmission in low-pressure pipeline network

In the context of a global shift towards clean energy, the integration of hydrogen into existing natural gas pipeline networks is essential for facilitating the energy transition. Specifically, low-pressure natural gas pipeline networks are crucial for transporting gas efficiently and with minimal losses from the source to end-users in nearby cities. The physical properties of hydrogen differ significantly from those of natural gas, which implies that introducing hydrogen into the pipeline network will modify operational parameters and impact the safety and efficiency of gas transmission. Therefore, this study concentrates on the efficiency of transporting and scheduling hydrogen-blended natural gas through existing low-pressure direct pipelines. Utilizing the BWRS (Benedict-Webb-Rubin-Starling) equation of state, mathematical models were developed to calculate gas properties and to simulate both the steady and transient states of hydrogen-blended natural gas networks. These models were then validated with TGNET software. This study examines a low-pressure natural gas transmission and distribution network that transports gas directly from a production site in Sichuan to urban areas. It conducts simulations of hydrogen blending and analyzes the impact of various hydrogen blend ratios on the transport and scheduling responses of the network. Research suggests that maintaining the hydrogen blend below 30% ensures the safe operation of low-pressure gas pipelines and prevents the transmission pressure from exceeding 3 MPa. Additionally, under a fixed energy flow output, blending hydrogen intensifies the challenges associated with pressure drops and temperature increases due to high flows in small diameter pipes, and further complicates the management of interruptions resulting from faults. Therefore, it is recommended that the hydrogen blend ratio be maintained at no more than 30%, and that accident handling procedures be established in advance to control pressure variations following a shutdown.

Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning

Improving the forecasting accuracy of wind power, solar power, and system load to support the source-load cooperative dispatch is an important direction to reduce the uncertainty at source and load sides. The current research mainly focuses on a single object, ignoring the interactive coupling relationship among them, which limits the improvement of forecasting accuracy. Therefore, this paper proposes a short-term integrated forecasting method of wind-solar-load. Firstly, a feature extraction module of linkage characteristics of wind-solar-load is built based on variable attention mechanism. Secondly, a multi-task learning model that can automatically calculate the optimal loss weights for different forecasting tasks is constructed to simultaneously accomplish the wind and solar power forecasting tasks through Fully Connected Neural Network. Finally, a load forecasting model which fuses historical load and power forecasting information is established based on Long Short-Term Memory. The operation data of 8 wind farms and 6 solar plants, and the load data of a nearby city are used for instance analysis. The results show that the power forecasting error (root mean square error) of each wind farm, solar plant, and system load is reduced by 4.84 %, 1.86 %, and 3.02 % on average, respectively, compared with the corresponding traditional methods.

Coseismic deformation and fault slip distribution of the 2023 MW7.8 and MW7.6 earthquakes in Türkiye

On February 6, 2023, a devastating earthquake with a moment magnitude of MW7.8 struck the town of Pazarcik in south-central Türkiye, followed by another powerful earthquake with a moment magnitude of MW7.6 that struck the nearby city of Elbistan 9 h later. To study the characteristics of surface deformation caused by this event and the influence of fault rupture, this study calculated the static coseismic deformation of 56 stations and dynamic displacement waveforms of 15 stations using data from the Turkish national fixed global navigation satellite system (GNSS) network. A maximum static coseismic displacement of 0.38 m for the MW7.8 Kahramanmaras earthquake was observed at station ANTE, 36 km from the epicenter, and a maximum dynamic coseismic displacement of 4.4 m for the MW7.6 Elbistan earthquake was observed at station EKZ1, 5 km from the epicenter. The rupture-slip distributions of the two earthquakes were inverted using GNSS coseismic deformation as a constraint. The results showed that the Kahramanmaras earthquake rupture segment was distinct and exposed on the ground, resulting in significant rupture slip along the Amanos and Pazarcik fault segments of the East Anatolian Fault. The maximum slip in the Pazarcik fault segment was 10.7 m, and rupture occurred at depths of 0–15 km. In the Cardak fault region, the Elbistan earthquake caused significant ruptures at depths of 0–12 km, with the largest amount of slip reaching 11.6 m. The Coulomb stress change caused by the Kahramanmaras earthquake rupture along the Cardak fault segment was approximately 2 bars, and the area of increased Coulomb stress corresponded to the subsequent rupture region of the MW7.6 earthquake. Thus, it is likely that the MW7.8 earthquake triggered or promoted the MW7.6 earthquake. Based on the cumulative stress impact of the MW7.8 and MW7.6 events, the southwestern segment of the East Anatolian Fault, specifically the Amanos fault segment, experienced a Coulomb rupture stress change exceeding 2 bars, warranting further attention to assess its future seismic hazard risk.

Review of the high bed–low ditch system as an alternative to lowland paddy in tropical and subtropical Asia

Many forms of traditional raised bed systems could be found around the world. Several of them have been identified as Globally Important Agricultural Heritage Systems (GIAHS) sites by Food and Agriculture Organization of the United Nations. Unlike traditional raised bed systems with similar structures in the Americas, the high bed–low ditch (HBLD) system in tropical and subtropical Asia, which is originated and developed from rice production, has been playing an important role in enhancing food security and maintaining farmer livelihood for centuries. Moreover, products provided by HBLD system are not only important for the livelihood of the local farmers, but also important for people living in the nearby towns and cities especially for vegetable and fruit supply. In this system, the ditches or sunken beds can be used to lower the groundwater table, retain nutrients and soil particles washed from the bed, grow rice or aquatic vegetables, and raise fish or shrimp. The HBLD system can also help to reduce salinity in coastal lowlands due to the presence of ditches. The raised beds can be used to grow various upland crops. Compared with rice monocropping, the adoption of HBLD system significantly improves the cropping intensity, productivity, employment, and income of farmers. Famers’ long-term practices fully demonstrate that this system is a type of sustainable agriculture with strong adaptability to the changes of natural environment. However, it should also be noted that the large-scale development of HBLD systems is not simply dependent on natural conditions, but is also determined by specific socioeconomic factors, such as good transportation facilities, a well market system, and a sufficient supply of labor. As a model of equilibrium between food production and high levels of biodiversity maintenance, the HBLD system is an important agricultural heritage system with global significance, and it should be well preserved and utilized in new ways to realize its important multiple functions under conditions of rapid urbanization in lowland and coastal regions.

An EPR study of the marbles from quarries of the Denizli region (Turkey): A contribution to the provenance assessment of materials with close relationships

The analytical and spectroscopic discrimination of marbles coming from quarries used in historical times is a task object of a wide interest in archaeometric investigations. This task is even more difficult, when the goal of the provenance assessment is focused on marbles coming from historical quarries located in a close geographic area. In this paper, we present the results of a systematic Electron Paramagnetic Resonance spectroscopy study aimed at assessing the discrimination criteria among 5 quarries located in the Denizli region (Anatolia, Turkey) that were benefited in Hellenistic and Roman period to provide materials for the buildings in the nearby city of Hierapolis of Phrygia (Turkey). The resulting EPR characterisation is used, in combination with the results of isotope geochemistry and petrological observation, to define criteria able to discriminate the provenance of marble samples from the considered quarries. The criteria arose from the analysis operated through robust compositional statistical techniques over the results of the experimental investigation. In this approach, the internal structure of the multimethodic dataset was unravelled. The results here presented provide evidence of a good discriminating ability of the proposed approach.

“Cooperation” or “competition”: Digital finance enables green technology innovation—a new assessment from dynamic spatial spillover perspectives

Green technology innovation is crucial in promoting the establishment of a green economic system. Digital finance is vital in supporting green technology innovation by combining finance and technology to extend the boundaries of financial services. This study constructs a theoretical framework by extending the Solow growth model and introduces a dynamic spatial Durbin model to investigate how China's green technology innovation is impacted by digital finance performance. Our results show that digital finance positively affects green technology innovation in local cities and hinders environmental technology improvement in nearby cities, resulting in unfavorable externalities. The mechanism check shows that digital finance motivates green technology innovation by expanding the scale of consumption, promoting industrial upgrading, and strengthening government support. The positive effects of digital finance on environmental technology improvement are prominent in regions with higher levels of digital finance, particularly in China's eastern and central regions. The degree of digitization and the depth of usage have notable positive impacts on green technology progress. Our findings provide important decision-making references on sustainable growth and have some significance for eliminating the digital development gap between regions and promoting innovation-driven development strategy.

Genomic surveillance and serological profile of SARS-CoV-2 variants circulating in Macaé and nearby cities, southeastern Brazil.

A characteristic of the COVID-19 pandemic has been the sequential emergence and global dissemination of SARS-CoV-2 variants, noted for their enhanced transmission efficiency. These variants with mutations in the Spike glycoprotein (S-glycoprotein), which interacts with ACE2 receptors in human cells is critical for infection, affects the transmissibility of the virus, which is a matter of great concern for public health. This research analyses the effects these variants on a cohort of vaccinated and naturally infected individuals from the cities of Macaé-RJ, Rio das Ostras-RJ, and Campos dos Goytacazes-RJ, Brazil, from March 2021 to March 2023. This investigation encompasses the Alpha (B.1.1.7), Gamma (P.1), Delta (B.1.617.2, B.1.671.3), and Omicron (BQ.1, BQ.1.1 sublines, and BF.7) variants, focusing on their genomic surveillance and implications for the disease's epidemiology. The experimental analysis included a control group (vaccinated and uninfected subjects), and an infected group (post-vaccinated subjects). Samples from nasopharyngeal swabs underwent viral detection via RT-qPCR for diagnosis confirmation. RNase H-dependent RT-qPCR (rhAmp-PCR) and third-generation sequencing were used to detect SARS-CoV-2 variants. Anti-S-glycoprotein immunoglobulins were also evaluated for vaccinated infected and noninfected volunteers. Symptoms from infected individuals were compiled in order to reveal patterns of clinical signs associated with viral infection. The study included 289 participants, with infections identified by Gamma (n = 44), Delta (n = 189), and Omicron (n = 56) variants. The prevalent symptoms among the naturally infected participants were cough, fever, sore throat, headache, and runny nose. For Omicron, cognitive symptoms such as memory loss and concentration issues were reported. Interestingly, the infected vaccinated group had higher anti-S-glycoprotein IgM production (n = 28, 0.2833 ± 0.09768 OD) compared to the uninfected vaccinated group (n = 14, 0.1035 ± 0.03625 OD). Conversely, anti-S-glycoprotein IgG production was higher in the control group (n = 12, 1.770 ± 0.1393 OD) than in the infected vaccinated group (n = 26, 1.391 ± 0.1563 OD). This comprehensive study enables monitoring of predominant variants and their correlation with clinical cases, providing valuable insights for public health. Our research group continues to survey circulating variants, contributing to the global understanding of the pandemic.

Automatic Medical Dispatcher with Dynamic Telemonitoring System Using IoT in Rural Areas

Accessing quality healthcare in rural areas can be challenging, often requiring individuals to travel long distances to nearby towns or cities. To address this issue, the Anytime Medical Machine (AMM) project was developed, leveraging Internet of Things (IoT) technology to provide on-the-spot medical consultations. AMM, a part of the Internet of Medical Things (IoMT), is designed for primary deployment in rural areas. Through AMM, individuals can receive consultations from qualified doctors without the need to travel. Doctors can prescribe medications and provide treatment recommendations, reducing both time and expenses associated with travel. The system collects patient data using sensors for temperature, heart rate, and blood oxygen saturation (SPO2), transmitting this information to doctors via a Wi-Fi module. The doctor-patient interaction is facilitated through secure video conferencing, requiring a unique username and password for each user to prevent misuse. After analyzing the patient's health parameters, the doctor prescribes appropriate medication, which is then dispensed through AMM. Patient information is securely uploaded to a cloud server for future reference, and the system is maintained by an administrator who refills medications as needed. Keywords- Rural Healthcare, Remote Consultation, IoT Healthcare, Medical IoT, Telemedicine, Remote Monitoring, Cloud-Based Healthcare, Healthcare Accessibility

Huygens’s Principle for Dynamic Urban Growth

Successful management of urban areas requires continuous improvement in knowledge related to its underlying processes. The present study proposes a novel technique for analyzing urban boundary expansion. The analysis using remote sensing data at various sampled times of development shows that each point in the boundary has a forward flux outwardly from the developed region. Such behavior allows the use of Huygens’s principle of wavefront propagation to study dynamic boundary expansion and its drivers. A simplified urban region near Mumbai city is taken to implement the method. The urban boundaries are extracted using Landsat satellite data for three periods—1999, 2009 and 2019. The extracted boundaries are smoothened and discretized into fifty equal sections. The discretized points act as the source of Huygen circles used to capture the rate of change in the magnitude and direction of urban boundaries. A regression analysis is used to relate the expansion rates to the potential driver variables. Results show that whereas the change in magnitude is likely to occur closer to highways and toward the nearby city center, it is expected to spread away from the railway stations due to the lack of space closer to them. The proposed technique opens up new avenues of research in urban studies.

Education, identity, and intensive youth mobility on the ferry-dependent island of Ameland

The lives of young adults on Ameland, a small island off the northern coast of Friesland (the Netherlands), are defined by a particular kind of migratory rhythm between the island and the mainland. This is because all students in the Netherlands are required by the ‘leerplicht’ (compulsory education) law to finish high school with a so-called ‘starting qualification’, but the lone school on Ameland does not offer this diploma. For this reason, each year’s graduating high school class undertakes the rite of passage of moving to the mainland to finish their education, usually in the nearby city of Leeuwarden. Most live together in Amelander houses in Leeuwarden, where they learn to live as independent adults from a young age, form friendships with Amelanders from other social networks and age cohorts, redefine and strengthen their sense of island identity, and bring these new connections home to the island each weekend. As a result, the social life of Ameland is renewed and remade through weekly acts of leaving and returning. In this multi-sited ethnographic study, we describe young adult mobility on Ameland and its implications for the island’s social identity.

Molecular composition and sources of free amino acids in atmospheric aerosols from Mt. Tai and a nearby city

Amino acids (AAs) are involved in the global nitrogen cycle and are important components of nitrogenous organic aerosols. Protein and free amino acid (FAA) concentrations in total suspended particulate (TSP) and their major emission sources were investigated in spring and autumn at Mount Tai (Mt. Tai) on the North China Plain and the nearby city named Liaocheng. There were significant spatial and seasonal differences in protein and FAA concentrations, with rainfall producing lower concentrations. For chiral isomers of AAs, there were significant diurnal differences in D/L-Methionine (Met), which was probably due to FAA source differences caused by regional valley winds and background winds. The high D/L-aspartic acid (Asp) and D/L-glutamine (Glu) concentrations may be indicative of the important contributions of chunk and honeycomb coal combustion. Stable nitrogen isotope analyses revealed that plant debris, soil dust, and biomass burning were important sources of glycine (Gly). Biomass burning, as well as chunk and honeycomb coal combustion, produced large amounts of L-arginine (Arg). Soil dust was the dominant source of FAAs for both Mt. Tai and Liaocheng, while biomass burning contributed more in autumn, and the proportional contribution of plant debris increased in spring.

The impact of ozone pollution on mortality: Evidence from China

This paper estimates the mortality impacts of ozone pollution in China and the moderating effects of two possible adaptation strategies. Using an instrument variable constructed from ozone concentrations of nearby upwind cities, we find that ozone pollution significantly increases all-cause, cardiovascular, and respiratory mortality. Healthcare service provision significantly decreases the impacts of ozone pollution on all-cause and cardiovascular mortality, but does not moderate the impact on respiratory mortality. The impact of ozone on RES mortality declines after COVID-19. Healthcare service provision also reduces the distributional impact of ozone across the elderly and younger groups. Projection shows that climate change would induce mortality costs of 0.08% of China's GDP through increasing ozone pollution.