Article
Environmental Sciences
Guanqiao Ding, Jie Guo, Steven G. Pueppke, Jialin Yi, Minghao Ou, Weixin Ou, Yu Tao
Summary: This study quantifies the compactness of urban form in 295 cities in China between 2000 and 2015 and examines its impact on CO2 emissions. The findings reveal a significant negative relationship between compact urban form and CO2 emissions. Two thresholds of compactness are detected, leading to three categories of cities with different impacts on carbon emissions reduction. The study highlights the importance of compact urban form as a strategy to reduce CO2 emissions and contributes to the design of low-carbon cities.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Tengfei Huo, Ruijiao Cao, Hongyan Du, Jing Zhang, Weiguang Cai, Bingsheng Liu
Summary: Urbanization has a nonlinear impact on urban residential building CO2 emissions, influenced by per capita income and energy structure stages. Promoting environmentally-friendly consumption patterns and increasing the penetration of cleaner energies in urban households can effectively alleviate the growth of residential carbon emissions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Thierry Yobouet Gnangoin, Diby Francois Kassi, OuYang Kongrong
Summary: This study analyzes the moderating effect of human capital on the relationship between urbanization and CO2 emissions in Asian member countries of the Belt and Road Initiative. The results show that there is a positive correlation between urbanization and carbon dioxide emissions, but human capital can mitigate the positive effect of urbanization on CO2 emissions and has an inverted U-shaped effect on CO2 emissions. Therefore, the conditional influence of human capital in the urbanization-CO2 emission nexus has policy implications for sustainable development.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Shengxi Zhang, Zhongfu Li, Xin Ning, Long Li
Summary: The study found that population size, economic growth, construction of residential buildings, and technology level were the primary factors influencing CO2 emissions in the construction industry, and the impact trend declined from urbanized areas to urbanizing and under-urbanized areas.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Miao Wang, Chao Feng
Summary: The residential sector in China has seen a gradual increase in carbon inequality, driven primarily by disparities in energy intensity and per capita income. The urban-rural structure also plays a role in widening carbon inequality, while disparities in energy structure have a minor but positive impact on reducing carbon inequality.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Multidisciplinary Sciences
Jing Wang, Guangjie Du, Mohan Liu
Summary: This study examines the spatiotemporal characteristics and influencing factors of carbon emissions from civil buildings in China. The findings show that carbon emissions from civil buildings have been increasing year by year and have become an important source of China's overall carbon emissions. There is a significant inverted U-shaped non-linear relationship between urbanization and civil building carbon emissions, indicating the need to reduce emissions during rapid urbanization. Technological progress and fixed asset investment can effectively reduce carbon emissions, while marketization and social consumption expenditure positively affect emissions. Improving market mechanisms and promoting green energy-saving technologies in civil buildings are necessary to achieve carbon reduction goals.
Article
Environmental Sciences
Xiaocong Xu, Jinpei Ou, Penghua Liu, Xiaoping Liu, Honghui Zhang
Summary: Research on the relationship between urban structures and CO2 emissions in mainland China found that three-dimensional urban structures play a crucial role in influencing CO2 emissions. Factors such as total building volume, building height, and heat dissipation area were identified as key drivers of CO2 emissions. While compact urban building coverage at a two-dimensional scale can reduce CO2 emissions, an intense and congested pattern in three-dimensional space may lead to higher CO2 emissions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Chien-Chiang Lee, Ya-Nan Zhao
Summary: This research investigates the factors and heterogeneity characteristics of CO2 emissions in 96 countries between 2000 and 2020 by combining the STIRPAT framework and FMM. The study finds that population growth exacerbates CO2 emissions, affluence has an inverted U-shape impact on CO2 emissions, and technology significantly improves CO2 emissions. The impact of affluence and technology on CO2 emissions varies in different groups, while a larger population size consistently increases CO2 emissions. The study also highlights the importance of human capital, urbanization, and FDI in promoting CO2 reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Environmental Sciences
Tiangui Lv, Han Hu, Xinmin Zhang, Hualin Xie, Li Wang, Shufei Fu
Summary: This paper investigates the relationship between urbanization and carbon emissions in the Yangtze River Delta urban agglomeration. The study finds that carbon emissions in the region are increasing, but at a slower rate. Economic factors have the most significant impact on carbon emissions. It is recommended to consider spatial spillover effects, determine optimal population size thresholds, promote low-carbon lifestyles, and encourage clean technology.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Business
Amrutha Gopinathan Satheedevi, Abhibhav Sharma, Murali Dhar
Summary: This study uses the STIRPAT model to explore the impact of anthropogenic factors on the ambient concentration of sulfur dioxide and nitrogen dioxide in industrial and residential clusters in urban provinces of India. The results show that population growth has a negative effect on the environment, while technological advancements have a positive impact on environmental quality. Additionally, it is recommended to improve the quality and coverage of environmental data collection for a more effective solution to the current environmental crisis in India.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Environmental Sciences
Xiaojing Zhao, Yanling Xi
Summary: Population size and industrial structure have a nonlinear impact on CO2 emissions in cities, and a reasonable match is needed; China should formulate differentiated population policies for cities with different industrial structures; for cities with a population size of more than 1.38 million, adjusting the industrial structure to prioritize the tertiary industry is an effective way to reduce CO2 emissions.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Zhonghua Cheng, Xiaowen Hu
Summary: China's urbanization and urban sprawl have had a significant impact on CO2 emissions, increasing overall carbon emissions through CO2 emissions from industrial, construction, residential consumption, and transportation sectors. Based on these findings, specific suggestions for China's carbon reduction and low-carbon development were made.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Yiping Liu, Yuling Han
Summary: In the Yangtze River Economic Belt, the impact of urbanization and technology on CO2 emissions varies at different stages, with economic urbanization having the most significant effect on reducing CO2 emissions overall.
Article
Environmental Sciences
Shujahat Haider Hashmi, Hongzhong Fan, Yasir Habib, Adeel Riaz
Summary: The study revealed the non-linear effects of urbanization paths on CO2 emissions, as well as the U-shaped impact of the largest city ratio on CO2 emissions. Urbanization and urban agglomerations have long-term positive effects on environmental quality, while excessive concentration in the largest cities can severely affect environmental quality. Energy intensity and economic growth contribute to CO2 emissions, while trade openness has a negative influence on CO2 emissions.
Article
Green & Sustainable Science & Technology
Tiangui Lv, Han Hu, Hualin Xie, Xinmin Zhang, Li Wang, Xiaoqiang Shen
Summary: This study analyzes the complex relationship between urbanization and carbon emissions, and predicts future carbon emissions in Jiangxi Province, China. The results show that there are spatial and temporal patterns in carbon emissions in Jiangxi, and factors such as population, economy, technology, and urbanization all have an influence on carbon emissions. It is important to consider appropriate population size, economic structure optimization, cleaner production technology development, and regional differences when formulating carbon emissions reduction policies.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Oceanography
Yuxin Zhang, Dong Li, Chao Fan, He Xu, Xiyong Hou
Summary: This study investigated changes in island coastlines in South East Asia (SEA) between 1990 and 2015 using an integrated workflow, including coastline extraction, analysis of changes, and discussion of driving forces based on remote sensing technology and GIS spatial analysis. More than 9000 islands were extracted, with approximately 12% showing changes in coastlines, resulting in a decrease in area totaling 251 km(2) and an increase in coastline length by 821 km.
OCEAN & COASTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Peipei Du, Xiyong Hou, He Xu
Summary: This paper provides a systematic and comprehensive understanding of urban expansion in China's coastal zone using remote sensing techniques. The results show that the coastal zone experienced rapid urbanization from 2000 to 2020, with new urban land mainly concentrated in economically advanced regions. The urban expansion was dominated by edge-expansion, but underwent a low-speed and intensive development stage during 2010-2015. The spatial-temporal differences in the urbanization process were largely influenced by national economic development strategies and regional development plans.
Article
Environmental Sciences
He Xu, Xiyong Hou, Dong Li, Xiaoli Wang, Chao Fan, Peipei Du, Baiyuan Song
Summary: This study proposes a framework for coastal flood risk (CFR) based on China's coastal zone (CCZ) and maps the spatial distribution of CFR using GIS. The results reveal that low-lying coastal areas with dense population, economic development, or industrial diversity are faced with serious CFRs. The coastal area of Guangdong is significantly affected in terms of population and GDP due to CFR.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Dong Li, Bin Li, Yuxin Zhang, Chao Fan, He Xu, Xiyong Hou
Summary: This research used PS-InSAR technology to monitor the ground deformation in the reclaimed land area of Shanghai. The results showed that there was uneven subsidence in the newly formed land, and the subsidence velocity gradually slowed down over time. The study demonstrated that PS-InSAR technology can be used for remote sensing monitoring of large-scale and long-term subsidence.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Marine & Freshwater Biology
He Xu, Xiyong Hou, Dong Li, Xiangyang Zheng, Chao Fan
Summary: This study simulated the inundation caused by sea level rise in China's coastal zone using a physical ocean model and improved methodology. The results showed that the inundation area would gradually expand and the maximum inundation area would increase over time under different scenarios. The findings are important for coastal urban planning and disaster prevention in China, and the method can also be applied to other coastal countries facing the threat of sea level rise.
ESTUARINE COASTAL AND SHELF SCIENCE
(2022)
Article
Environmental Sciences
Chao Fan, He Xu, Xiyong Hou
Summary: This study evaluated the spatial effectiveness of protected areas for mangrove conservation and found that the protected areas in Madagascar failed to meet 30% of the spatial requirements proposed by global conservation targets.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
He Xu, Dong Li, Xiyong Hou, Xiubo Yu, Yubin Liu, Xiaowei Li, Baoquan Li, Linlin Chen, Xiaoli Wang, Shaoxia Xia
Summary: Saunders's Gull is an important indicator species in the coastal wetlands of the Yellow River Delta, with its main home range located in northern and eastern coastal areas of Dongying city, the border area of Binzhou, Dongying, and Cangzhou city, and the Nanpu wetland of Tangshan city. Human activity has a substantial effect on the gull's home range selection, such as mariculture being an important part of its range, exhibiting approach-avoidance behavior to wind turbines and oil wells, and varying activity time based on distance to roads.
JOURNAL OF COASTAL RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
