Article
Engineering, Marine
Fan Zhou, Yunli Fan, Jing Zou, Bowen An
Summary: Ship emission monitoring is an interdisciplinary research problem that requires addressing challenges in data acquisition, transmission, and analysis. This study proposes a paradigm for constructing a ship emission monitoring sensor web (SEMSW) and has established a model in China's Waigaoqiao port area. The model plays a significant role in scientific research and maritime law enforcement.
Article
Thermodynamics
Xueting Jiang
Summary: This research investigates the drivers of air pollutant emissions reduction in the Chinese electric power sector despite the continued dominance of coal combustion. The study quantifies the contributions of eight factors to reducing three key air pollutants using data from Chinese power plants. The main findings highlight the importance of emission intensity and electricity consumption in reducing air pollution.
Article
Geosciences, Multidisciplinary
Mikalai Filonchyk, Michael P. Peterson
Summary: The United States is a leading producer of electricity in the world, with coal accounting for 21.8% of the total electricity generated, which amounted to about 4116 billion kWh in 2021. This study examines emissions from coal-fired power plants and their spatial extent using both terrestrial and satellite data, and emphasizes the effectiveness of government policies in reducing emissions. The research reveals a steady decline in pollutant emissions from the US energy sector, with sulfur dioxide (SO2) and nitrogen oxides (NOx) decreasing by 93.4% and 84.8% respectively between 1990 and 2020, and carbon dioxide (CO2) decreasing by 37% between 2007 and 2020. However, while overall emissions from coal-fired power plants are declining, some individual plants still lack environmental equipment to control emissions, and certain power plants remain major emitters of SO2, NOx, and CO2. The use of TROPOMI satellite data enables the detection of point emissions from individual power plants, including those in rural areas, highlighting the ongoing pollution concerns from coal-fired power plants despite the progress made.
GEOSCIENCE FRONTIERS
(2023)
Article
Environmental Sciences
Ruxing Wan, Ling Tang, Jing Guo, Wenhui Zhai, Ling Li, Yang Xie, Xin Bo, Jun Wu
Summary: Over the past decade, thermal power plants in China, the largest energy infrastructure in the country, have consumed half of China's coal and posed threats to air quality, human health, and socioeconomic development. To alleviate these impacts, China has implemented a series of control policies, leading to significant reductions in air pollutant emissions. However, the effects of ultra-low emissions (ULE) policies on air quality, health, and cost benefits are still not well understood. This study estimates the improved air quality, health benefits, and economic gains achieved through ULE standards in the thermal power sector by employing a measure-specific approach. The results indicate that all control measures have resulted in reduced air pollution, with renovating pre-existing units being the most effective measure. Compared to not implementing the ULE policy, the implementation of these measures could lead to decreased population-weighted average PM2.5 and O3 concentrations, as well as the avoidance of 67,831 premature deaths nationwide. Additionally, the study demonstrates a net economic benefit of 109.92 billion Yuan (in 2015 value) in China when considering health benefits and costs due to control measures. These findings highlight the importance of considering health impacts in policy-making and provide possible strategies for further promoting control measures in China and tightening emission standards for thermal power plants worldwide.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Xuan Gu, Baojie Li, Chu Sun, Hong Liao, Yongqi Zhao, Yang Yang
Summary: In this study, a new method for establishing an hourly NOx emission inventory based on the CEMS network was proposed. The results showed that the method had higher accuracies compared to other bottom-up inventories. The study also revealed the total NOx emissions of power plants in Jiangsu, China, with a significant decrease in 2018. The emissions were concentrated in the southern Jiangsu area, with super units contributing the most. The emissions demonstrated a high in winter and summer pattern, with peaks at specific times during the day. The new hourly CEMS emission inventory can effectively reduce uncertainties and assist in policy-making for mitigating power plant emissions in China.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Environmental Sciences
Suat Vardar, Burak Demirel, Turgut T. Onay
Summary: The Turkish government plans to increase the capacity of coal-fired power plants, but they cause pollution, emit greenhouse gases, and undermine climate goals. Subsidies and exemptions for the coal sector may hinder the development of renewable energy sources. Therefore, Turkey needs to increase the share of renewable energy in its energy mix.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Studies
Yang Chen, Ziheng Zhao, Wen Yi, Jingke Hong, Bo Zhang
Summary: This study verifies and quantifies the bidirectional synergistic effects between reductions in carbon emissions and air pollutants at the city level in China. The findings show that carbon emission mitigation causes greater synergistic reduction effect than pollution reduction, and carbon emission reduction has a more significant synergistic effect on SO2 than PM2.5. The synergistic effects vary across city types, with cities that have higher resource endowments, lower administrative levels, smaller populations, and lower economic status showing greater synergistic effects. Additionally, there are temporal delays in the synergistic reduction effects between carbon and air pollutant emissions.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Environmental Sciences
Shurui Sun, Wenbin Liu, Weisheng Guan, Shuai Zhu, Jing Jia, Xiaolin Wu, Rongrong Lei, Tianqi Jia, Yunchen He
Summary: This study investigated VOC concentrations in flue gas samples from coal-fired power plants and industrial boilers. It found that SCR systems and ESP can synergistically remove VOCs, while WFGD affects different VOCs in varying ways. Wet electrostatic precipitators (WESP) were found to increase VOC emissions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Thermodynamics
Yonglong Yang, Qiufeng Su, Chenghang Zheng, Yang Zhang, Yifan Wang, Dong Guo, Yongbing He, Yue Zhu
Summary: This study analyzed and evaluated the particulate matter emission from ultra-low emission coal-fired units. The results showed that the emission characteristics of condensable particulate matter were significantly affected by different air pollution control devices. There was a correlation between condensable particulate matter and ash content.
CASE STUDIES IN THERMAL ENGINEERING
(2022)
Article
Environmental Sciences
Tufail Shakeel, Manzoor Hussain, Ghulam Mujtaba Shah, Iram Gul
Summary: The study reveals that plants alongside the roads in Abbottabad are negatively impacted by vehicular emissions, affecting their morphological and biochemical characteristics, although they exhibit higher tolerance to pollution. Some plant species in contaminated areas have higher Air Pollution Tolerance Index (APTI), making them more suitable for plantation in Abbottabad.
Article
Energy & Fuels
Pet Pakchotanon, Amornvadee Veawab, Adisorn Aroonwilas, Teerawat Sema
Summary: Carbon capture and storage (CCS) is an important strategy to reduce industrial CO2 emissions. This study used air dispersion modeling to simulate the atmospheric dispersion and ground concentration of amine gas from a coal-fired power plant with CCS. The results showed that the use of a water wash unit significantly reduced amine concentrations, improving environmental protection.
Article
Environmental Sciences
Jonilda Kushta, Niki Paisi, Hugo Denier Van der Gon, Jos Lelieveld
Summary: This study examined the impact of coal-fired power plant emissions on air pollution levels and health in Europe, revealing a significant underestimation of annual excess mortality attributed to the emissions. The phase-out of coal-fired power plant emissions could lead to substantial health benefits, emphasizing the need for coordinated air pollution control strategies at the European level.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Geosciences, Multidisciplinary
Qili Dai, Tianjiao Dai, Linlu Hou, Linxuan Li, Xiaohui Bi, Yufen Zhang, Yinchang Feng
Summary: This study used an optimized machine learning technique to analyze the meteorological normalization of air pollutant concentrations in 31 major Chinese cities. The results showed that emission reductions had a significant impact on the concentrations of SO2, NO2, CO, PM10, and PM2.5, but not on O-3 concentrations. From 2015 to 2020, the annual average concentrations in these cities decreased by 86%, 51%, 99%, 86%, and 88% respectively. However, the rate of emission reduction slowed down after 2018. Unfavorable meteorological conditions were observed in 2016-2017 and 2018-2019, while favorable conditions were observed in 2020-2021. Aggressive emission reduction measures targeting NOx, volatile organic compounds, and coarse particles are needed to further improve air quality.
SCIENCE CHINA-EARTH SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
A. Sangeetha, T. Amudha
Summary: Good air quality is crucial for human health and the environment. Establishing an Air Quality Monitoring Network (AQMN) is essential for effectively monitoring and assessing the atmospheric air quality in cities. The optimal locations for the AQMN in Coimbatore, India were determined using Particle Swarm Optimization algorithm, based on emissions from automobile sources.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Review
Environmental Sciences
Anna C. O. 'Regan, Marguerite M. Nyhan
Summary: Climate change is a significant challenge for society, with cities being major contributors to greenhouse gas emissions. As urbanization continues to rise, cities will play a crucial role in reducing emissions and combating climate change.
ENVIRONMENTAL RESEARCH
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Yuying Sun, Jian Zhang, Xin Li, Shouyang Wang
Summary: This study proposes a time-varying jackknife model averaging approach to improve the accuracy of tourism forecasting. The empirical results show that this method outperforms other competitors in out-of-sample tourism forecasting.
JOURNAL OF TRAVEL RESEARCH
(2023)
Article
Multidisciplinary Sciences
Yuze Li, Peng Jia, Shangrong Jiang, Haijiang Li, Haibo Kuang, Yongmiao Hong, Shouyang Wang, Xueting Zhao, Dabo Guan
Summary: In this paper, a Geographic-based Emission Estimation Model (GEEM) is proposed to estimate shipping GHG emission patterns on high seas regions. The results indicate that annual emissions of carbon dioxide equivalent (CO2-e) in shipping on the high seas reached 211.60 million metric tonnes in 2019, accounting for about one-third of all shipping emissions globally and exceeding annual GHG emissions of countries such as Spain. The average emission from shipping activities on the high seas is growing at approximately 7.26% per year, which far surpasses the growth rate of global shipping emission at 2.23%.
NATIONAL SCIENCE REVIEW
(2023)
Article
Economics
Qing Liu, Shouyang Wang, Cong Sui
Summary: The impact of market volatility and skewness risks on stock returns is examined in this study. The results suggest that these risks do not have a significant effect on future stock returns. However, when considering call and put options separately, it is found that innovations in upper market volatility and skewness extracted from call options are significantly negatively related to subsequent stock returns.
Article
Environmental Sciences
Zhongjun Xu, Shaobo Chen, Minjie Sang, Zhaotong Wang, Xin Bo, Qian You
Summary: To improve the ecological environment, provinces in China have set ambitious goals for the electrification of fossil-fuel-powered vehicles (FVs) and the promotion of electric vehicles (EVs). Hainan is the first province to propose a clean energy target that schedules the banning of new FVs sales from 2030. Therefore, Hainan is a good case study to illustrate how this policy might improve regional air quality over the coming years.
Article
Engineering, Environmental
Yiyi Cao, Shen Qu, Heran Zheng, Jing Meng, Zhifu Mi, Weiming Chen, Yi-Ming Wei
Summary: In order to achieve carbon neutrality by 2060, China needs to make significant changes to its socioeconomic systems and allocate emissions responsibility appropriately. Traditional methods of responsibility delineation can lead to double counting, so an alternative method based on economic welfare gains from environmental externalities has been refined. This approach ensures that the responsibilities of consumers and producers add up to the total emissions. Applying this method to 48 countries and 31 Chinese provinces reveals variations in responsibilities, indicating potential for more comprehensive and accessible policy goals.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Environmental
Kehan He, Zhifu Mi, Jin Zhang, Jinkai Li, D'Maris Coffman
Summary: China's domestic CO2 emissions are unevenly distributed, with increasing emissions from the less developed northwest region to the rest of China. This trend is attributed to industrial upgrading and disparity in regional development. Additionally, CO2 emissions exported from China to the rest of the world have decreased, with other developing countries filling the gap. Policy makers need to be alerted to prevent further pollution migration.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Tong Feng, Xinyu Chen, Jie Ma, Yuechi Sun, Huibin Du, Ye Yao, Zhenni Chen, Shidong Wang, Zhifu Mi
Summary: Production restriction is an environmental regulation in China aimed at reducing air pollution from industrial enterprises. However, these restrictions can result in economic losses and hinder the green transformation of companies. Polluting enterprises are faced with the dilemma of choosing between environmental protection and economic development.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
Jing Meng, Jingwen Huo, Zengkai Zhang, Yu Liu, Zhifu Mi, Dabo Guan, Kuishuang Feng
Summary: International trade redistributes production activities, affecting CO2 emissions by moving them to places with different emission intensities. This study focuses on the convergence of emission intensities between exporters and importers, finding that the relocation of production activities from developed to developing countries increased global emissions in the early 2000s. However, the narrowing emission intensities and changing trade patterns have led to declining net emissions in trade in the past decade.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Ling Tang, Min Jia, Junai Yang, Ling Li, Xin Bo, Zhifu Mi
Summary: China, as the world's largest industrial producer, faces significant industrial atmospheric pollution, especially from particulate matter, SO2, and NOx emissions. In order to better understand industrial emission characteristics, a nationwide and up-to-date air pollutant emission inventory named Chinese Industrial Emissions Database (CIED) has been created, utilizing real smokestack concentrations from China's continuous emission monitoring systems (CEMS) during 2015-2018. The use of this CEMS data allows for direct estimation of industrial emission factors and absolute emissions, increasing estimation accuracy and reliability.
Article
Hospitality, Leisure, Sport & Tourism
Yanzhao Li, Dongchuan Yang, Ju'e Guo, Shaolong Sun, Shouyang Wang
Summary: The global tourism industry is facing difficulties in recovering from the COVID-19 pandemic. This study aims to investigate the reliability of statistical modelling methods in forecasting daily tourism demand under the new normal after travel restrictions are eased or lifted. The proposed improved framework proves to be superior and practical in predicting daily tourism demand both before and during COVID-19. There is a need for further research on the comparability of tourism demand forecasting.
CURRENT ISSUES IN TOURISM
(2023)
Article
Economics
Jin Xiao, Yu Zhong, Yanlin Jia, Yadong Wang, Ruoyi Li, Xiaoyi Jiang, Shouyang Wang
Summary: In this study, we propose a novel deep ensemble credit scoring model for internet finance using a combination of variational autoencoder and deep forest. Our model shows good performance in dealing with highly class-imbalanced and non-linear datasets and exhibits strong ability to learn complex distributions.
INTERNATIONAL JOURNAL OF FORECASTING
(2024)
Review
Energy & Fuels
Tong Wu, Jin-Wei Wang, Shen Qu, Zhifu Mi, Yi-Ming Wei
Summary: Energy storage technologies (ESTs) are crucial for ensuring energy security and addressing climate change challenges. This study employs a data-driven approach to identify the research frontiers in ESTs using bibliographic coupling and sliding window analysis. It reveals 19 research frontiers distributed across four knowledge domains and highlights aqueous zinc batteries and two-dimensional transition metal carbon-nitride composites as noteworthy areas. This study provides insights for future research and development (R&D) deployment in energy storage technologies.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Review
Economics
Jun-Jie Chang, Zhifu Mi, Yi-Ming Wei
Summary: The climate econometric analysis is increasingly used to evaluate climate risks and understand economic impacts caused by climate change. This article reviews the literature on growth and level effects, temperature variables' forms and functional forms, and the model specification. An approach for combining empirical findings with climate change integrated assessment models (IAMs) to improve damage modeling is also introduced. The findings show that damage estimates through growth effects are generally larger than those through level effects. Changing the time resolution of temperature variables, introducing non-linearity into econometrics functions, and specifying temperature deviation can reveal diverse impact mechanisms and adaptation effects. Combining cross-sectional and panel models enables the examination of economic impacts at different future times.
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jin Xiao, Yuhang Tian, Yanlin Jia, Xiaoyi Jiang, Lean Yu, Shouyang Wang
Summary: This study researches the security issue of credit card fraud detection (CCFD) models based on machine learning, which has been rarely considered in existing research. A black-box attack-based security evaluation framework for CCFD models is proposed, combining semisupervised learning technique and transfer-based black-box attack to construct two versions of a semisupervised transfer black-box attack algorithm. A new nonlinear optimization model is introduced to generate adversarial examples against CCFD models, along with a security evaluation index to quantitatively evaluate their security. Experimental results show that all six supervised models considered largely lose their ability to identify fraudulent transactions when facing the adversarial examples generated by the proposed attack algorithms, while the two unsupervised models are less affected. This suggests that CCFD models based on supervised machine learning may have substantial security risks. In addition, the evaluation results for model security generate important managerial implications to assist banks in reasonably evaluating and enhancing model security.
INFORMS JOURNAL ON COMPUTING
(2023)
Article
Energy & Fuels
Kun Yang, Zishu Cheng, Mingchen Li, Shouyang Wang, Yunjie Wei
Summary: This paper proposes a forecasting and investing framework for the crude oil market by integrating interval models and machine learning models. It utilizes natural language processing to analyze text information from social and news media for capturing market sentiment. Deep learning models are then integrated to combine sentiment data with economic variables for more accurate price predictions. Furthermore, a trading strategy with interval constraints is introduced to reduce trading risk arising from point forecasts.
