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Ya Zhou
Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, China

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Journal article
Published: 29 June 2021 in Resources, Conservation and Recycling
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China has committed to decreasing its emission intensity by 60% to 65% by 2030 compared to 2005 levels and achieving carbon neutrality by 2060. It is of great importance to evaluate the CO2 emission reduction potential to quantify the amount of CO2 emissions that can be less generated and the amount that should be balanced out. Economic structure adjustment and CO2 emission efficiency improvement will contribute to mitigating CO2 emissions, which always happen simultaneously in the real world. However, few studies consider these issues simultaneously, which can lead to inaccurate estimation. A scenario analysis framework is proposed to estimate their combined effects, and an indicator is proposed to measure the technical feasibility of achieving the reduction potential. A set of scenarios are designed based on this framework and we find that: (1) to achieve carbon neutrality, 6161.16 Mt of CO2 emissions of China can be less generated compared to 2017 levels by significantly increasing its tertiary industry share to high-income entities’ level and adopting the most advanced technology to improve emission efficiency; the remaining 2732.40 Mt of CO2 emissions should be removed by carbon offsetting. Regarding emission intensity, 81.39% can be reduced compared with the 2005 level; and (2) Technical feasibility analysis shows Sichuan, Chongqing, and Anhui have the largest technical barriers in achieving the reduction potential. The proposed scenario analysis framework can provide a reference not only for China to achieve the emission mitigation pledges, but for countries with significant technological differences and structure adjustment to formulate mitigation strategies.

ACS Style

Huijuan Xiao; Ya Zhou; Ning Zhang; Daoping Wang; Yuli Shan; Jingzheng Ren. CO2 emission reduction potential in China from combined effects of structural adjustment of economy and efficiency improvement. Resources, Conservation and Recycling 2021, 174, 105760 .

AMA Style

Huijuan Xiao, Ya Zhou, Ning Zhang, Daoping Wang, Yuli Shan, Jingzheng Ren. CO2 emission reduction potential in China from combined effects of structural adjustment of economy and efficiency improvement. Resources, Conservation and Recycling. 2021; 174 ():105760.

Chicago/Turabian Style

Huijuan Xiao; Ya Zhou; Ning Zhang; Daoping Wang; Yuli Shan; Jingzheng Ren. 2021. "CO2 emission reduction potential in China from combined effects of structural adjustment of economy and efficiency improvement." Resources, Conservation and Recycling 174, no. : 105760.

Journal article
Published: 25 June 2021 in Energy Economics
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For decades, resource-based cities in China have significantly contributed to China's socio-economic development. The heavy resource dependence of resource-based cities inevitably leads to a series of environmental problems. Mitigating environmental impacts in an unthinking manner might be disruptive for economic development. Improving eco-efficiency has been a crucial solution for protecting the environment while mitigating its negative economic impact. However, the method commonly used to evaluate the eco-efficiency – that is, the black-box data envelopment analysis (DEA) – cannot examine the inefficiencies of the internal structure, and as a result, the underlying management defects are unclear. To open the black box, this study presents a two-stage network DEA framework incorporating government and industrial sectors and measures the eco-efficiency of 84 resource-based cities during the post-financial crisis period (2007–2015). The results indicate that the average eco-efficiency of China's resource-based cities shows a promising increase, and there is a positive relationship between governance efficiency and production efficiency. The decreasing trend of governance efficiency in the Central, Western, and Northeast regions after 2014 shows the low quality of the government sector in the usage of fiscal income. Proactive disclosure of how the government sector conducts public business and spends taxpayers' money should be made to increase transparency, attract more entrepreneurial resources to carry out production activities, and further improve sustainability. The two-stage network DEA framework helps obtain more insights into the internal management defects of the government and industrial sectors and enhance their cooperation to improve the eco-efficiency precisely.

ACS Style

Huijuan Xiao; Daoping Wang; Yu Qi; Shuai Shao; Ya Zhou; Yuli Shan. The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach. Energy Economics 2021, 101, 105408 .

AMA Style

Huijuan Xiao, Daoping Wang, Yu Qi, Shuai Shao, Ya Zhou, Yuli Shan. The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach. Energy Economics. 2021; 101 ():105408.

Chicago/Turabian Style

Huijuan Xiao; Daoping Wang; Yu Qi; Shuai Shao; Ya Zhou; Yuli Shan. 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach." Energy Economics 101, no. : 105408.

Journal article
Published: 20 May 2021 in Journal of Cleaner Production
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Building sustainable and resilient cities has become one of the most pressing development challenges facing the world today. Ever-increasing environmental pressures – from emission reduction to pollution prevention – underline the need to balance economic progress with the concern for the environment. Finding new ways of facilitating economic growth within environmental constraints is central to urban sustainable development. In this study, we develop a robust-optimization-based urban agriculture planning (ROB-UAP) model to help decision makers make decisions that are both economically viable and environmentally sustainable. The model enables consideration of more stringent pollution controls in response to the inherent uncertainty in the complex system. Shenzhen City, as the economic engine of the Guangdong-Hong Kong-Macau Greater Bay Area, also faces challenges of urban sustainability transitions. The proposed model is applied to the planning problem of Shenzhen City’s urban agriculture system to support environment-oriented agricultural restructuring. We produce six risk-based scenarios to help evaluate the trade-offs between economic returns and environmental impacts. The results show that under expected economic conditions the overall output of the system could be increased by at least 8%, indicating that agricultural restructuring could indeed contribute to the economic growth of the city. In addition, the total amount of the major pollutants could be more or less reduced in the risk-averse and risk-tolerant scenarios; thereby delivering robust decision-making is essential for enabling environmentally low-impact outcomes in planning practices.

ACS Style

Yang Zhou; Jingcheng Han; Jie Li; Ya Zhou; Keyi Wang; Yuefei Huang. Building resilient cities with stringent pollution controls: A case study of robust planning of Shenzhen City’s urban agriculture system. Journal of Cleaner Production 2021, 311, 127452 .

AMA Style

Yang Zhou, Jingcheng Han, Jie Li, Ya Zhou, Keyi Wang, Yuefei Huang. Building resilient cities with stringent pollution controls: A case study of robust planning of Shenzhen City’s urban agriculture system. Journal of Cleaner Production. 2021; 311 ():127452.

Chicago/Turabian Style

Yang Zhou; Jingcheng Han; Jie Li; Ya Zhou; Keyi Wang; Yuefei Huang. 2021. "Building resilient cities with stringent pollution controls: A case study of robust planning of Shenzhen City’s urban agriculture system." Journal of Cleaner Production 311, no. : 127452.

Journal article
Published: 14 May 2021 in Journal of Cleaner Production
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As the basis of urban social-economic development, water and energy resources are indivisible and interrelated in the production and consumption activities of cities. The frequent intercity trade of energy-related goods aggravates water withdrawal in neighboring cities and causes the spatial transfer of resources. The spatial correlation of water withdrawal and energy consumption is rarely considered in the city-level water-energy nexus. As one of China’s most serious water shortage regions, Hebei Province is the third-largest energy consumer in China and is a major supplier of mineral resources, industrial raw materials, water resources, electricity, and agricultural products to Beijing and Tianjin. The spatial Durbin model with the two-way fixed effects is applied to explore spatial effects of water-energy nexus in cities of Heibei province. Seven influencing factors, including energy consumption, energy structure, population, GDP, water withdrawal intensity, urbanization, and agriculture structure were considered. Results showed that all factors had positive impacts on water withdrawal except energy structure. Water withdrawal intensity made the most considerable contribution to water withdrawal, followed by urbanization, energy consumption, GDP, industrial structure, and population. The urbanization level of neighboring cities exerted the most significant positive spatial spillover impact on local water withdrawal, whereas the energy consumption showed a negative impact. The exploration of city-level spatial correlation regarding water withdrawal and energy consumption provides a reference for regional cooperation to improve resource utilization efficiency, establishing sustainable energy and water systems, and promoting sustainable development.

ACS Style

Zeng Li; Ya Zhou; Kejun Li; Huijuan Xiao; Yanpeng Cai. The spatial effects of city-level water-energy nexus: A case study of Hebei Province, China. Journal of Cleaner Production 2021, 310, 127497 .

AMA Style

Zeng Li, Ya Zhou, Kejun Li, Huijuan Xiao, Yanpeng Cai. The spatial effects of city-level water-energy nexus: A case study of Hebei Province, China. Journal of Cleaner Production. 2021; 310 ():127497.

Chicago/Turabian Style

Zeng Li; Ya Zhou; Kejun Li; Huijuan Xiao; Yanpeng Cai. 2021. "The spatial effects of city-level water-energy nexus: A case study of Hebei Province, China." Journal of Cleaner Production 310, no. : 127497.

Journal article
Published: 12 April 2021 in Journal of Cleaner Production
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The environmental impacts of the fashion industry have been aroused wide concerns. The globalization and fragmentation of the textile and fashion system have led to the uneven distribution of environmental consequences. As denim is the fabric of jeans that is representative of fashion, this study assessed virtual carbon and water flows embodied in the global denim-product trade, and footprints of denim production were quantified by life-cycle assessment and water footprint assessment. Results indicated that virtual carbon embodied in the global denim trade increased obviously from 14.8 Mt CO2e in 2001 to 16.0 Mt CO2e in 2018, and the virtual water consumption dropped from 5.6 billion m3 to 4.7 billion m3 from 2001 to 2018. The denim fabric production and cotton fibre production respectively contribute the most of the carbon emissions and water consumption. Polyester blended denim has 5% larger carbon footprint and 72% lower water footprint than cotton denim, and contributes to increasing embodied carbon emissions (from 4% in 2001 to 43% in 2018). Increasing the utilization of polyester blended denim would save water but face more pressures on carbon emission reduction. In the past two decades, virtual carbon and water flows embodied in the global denim trade are relocating, main jean consumers (i.e., the USA, EU-15, and Japan) withdraw the denim manufacturing supply chain and developing countries (i.e., China, India, and Pakistan) with higher carbon and water footprint undertake main global denim production, facing increasing climate-related risks and water crisis. The South-South cooperation helps share successful experiences, save production cost, and lessen resource consumption and environmental emissions. The production and consumption of denim should be shifted to circular and sustainable ways and new business models are required. The analysis framework can provide the basis for exploring environmental flows of product-level trade, and results can offer a basis for environmental policies and control strategies of the fashion industry, and as well as the sustainable production and consumption of garment.

ACS Style

Minyi Zhao; Ya Zhou; Jing Meng; Heran Zheng; Yanpeng Cai; Yuli Shan; Dabo Guan; Zhifeng Yang. Virtual carbon and water flows embodied in global fashion trade - a case study of denim products. Journal of Cleaner Production 2021, 303, 127080 .

AMA Style

Minyi Zhao, Ya Zhou, Jing Meng, Heran Zheng, Yanpeng Cai, Yuli Shan, Dabo Guan, Zhifeng Yang. Virtual carbon and water flows embodied in global fashion trade - a case study of denim products. Journal of Cleaner Production. 2021; 303 ():127080.

Chicago/Turabian Style

Minyi Zhao; Ya Zhou; Jing Meng; Heran Zheng; Yanpeng Cai; Yuli Shan; Dabo Guan; Zhifeng Yang. 2021. "Virtual carbon and water flows embodied in global fashion trade - a case study of denim products." Journal of Cleaner Production 303, no. : 127080.

Journal article
Published: 01 April 2021 in Journal of Cleaner Production
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The assessment of GHG emissions from spring wheat cropping system in Saskatchewan was conducted in this study. A general emission assessment model was developed. The main sources of GHG included emissions from farming operations, emissions from the manufacturing and transportation of N/P fertilizer, emissions from herbicides usage, and direct and indirect land emissions. The total GHG emission was around 3.36 × 106 Mg CO2-eq in 2012. The total GHG emissions mainly came from the manufacturing, storage, delivery, and application of nitrogen fertilizer and environmental conditions had a significant effect on GHG emissions. From north to south Saskatchewan, the total GHG emission was decreasing as Pr/PE decreased. In high Pr/PE area, there was a GHG emission of 474 kg CO2-eq t−1 of grain, which was 41% greater than that in low Pr/PE. Through applying multivariate factorial analysis, it was found that the emission factor from direct emission had the most significant impact on the total GHG emission. The total GHG emission in higher Pr/PE area was more sensitive to the N fertilizer application. The understanding of detailed effects of these parameters and interactions can help determine what would have significant effects on total GHG emission and develop the appropriate strategy for sustainable management of agriculture.

ACS Style

Yarong Shi; Guohe Huang; ChunJiang An; Yang Zhou; Jianan Yin. Assessment of regional greenhouse gas emissions from spring wheat cropping system: A case study of Saskatchewan in Canada. Journal of Cleaner Production 2021, 301, 126917 .

AMA Style

Yarong Shi, Guohe Huang, ChunJiang An, Yang Zhou, Jianan Yin. Assessment of regional greenhouse gas emissions from spring wheat cropping system: A case study of Saskatchewan in Canada. Journal of Cleaner Production. 2021; 301 ():126917.

Chicago/Turabian Style

Yarong Shi; Guohe Huang; ChunJiang An; Yang Zhou; Jianan Yin. 2021. "Assessment of regional greenhouse gas emissions from spring wheat cropping system: A case study of Saskatchewan in Canada." Journal of Cleaner Production 301, no. : 126917.

Journal article
Published: 18 February 2021 in Science of The Total Environment
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Cities play significant roles in mitigating global climate change and formulating low carbon roadmaps. As the first regional strategy that prioritizes green development, the Yangtze River Economic Belt (YREB) is an economic circle along the Yangtze River, stringing up 11 provinces and municipalities from west to east of China. The huge regional heterogeneity in terms of economic development, size, and structure in YREB cities need differentiated emission reduction strategies and low-carbon development pathways. This study compiled the CO2 emission inventories of 85 cities in the YREB for the first time and explored the decoupling of economic growth from CO2 emissions at the city level. The results show that CO2 emissions of YREB cities increased at an annual average rate of 5.1% from 2005 to 2017, and 85 YREB cities emitted 44% of national total CO2 emissions and contributed 41% of national GDP in 2017. 61% of cities dominated by high-tech and service industry achieved decoupling between economic development and emissions before 2009 and are moving forward to a stronger decoupling state. 25% of cities achieved decoupling after 2009 and these post-decoupling cities took the heavy industry and light industry as their leading industries. Resource-based cities with slow economic development and high CO2 emissions changed from decoupling to negative decoupling or coupling. The proposed differentiated low-carbon development pathways for YREB cities could provide references for cities at different stages to achieve decoupling of GDP from CO2 emissions and emission reduction goals.

ACS Style

Kejun Li; Ya Zhou; Huijuan Xiao; Zeng Li; Yuli Shan. Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt cities. Science of The Total Environment 2021, 775, 145927 .

AMA Style

Kejun Li, Ya Zhou, Huijuan Xiao, Zeng Li, Yuli Shan. Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt cities. Science of The Total Environment. 2021; 775 ():145927.

Chicago/Turabian Style

Kejun Li; Ya Zhou; Huijuan Xiao; Zeng Li; Yuli Shan. 2021. "Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt cities." Science of The Total Environment 775, no. : 145927.

Journal article
Published: 30 January 2021 in Energy
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Photovoltaic (PV) generation prediction is a critical technology for integrating solar energy in power systems and markets. Accuracy is the target for most PV prediction models, which represents the minimisation of the average error. However, minimisation of prediction error is to obtain a minimum cost from impact of prediction inaccuracy. The lowest average error may not always relate to the minimum cost. Thus, this paper proposes an integrated PV prediction structure that targets minimum industrial cost from prediction error other than using pure accuracy. The object of machine learning model is modified into the further industrial cost of prediction error, which is the cost of backup generation participation in power dispatch for power grid energy balancing. A feed-forward neural network is selected as typical machine learning model for integration. Additionally, to solve the nesting optimisation problem in network training, an equivalent model is constructed to remove the sub-optimisation and make gradient-based training optimisation feasible. A numerical study shows that the integrated structure leads to prediction results with a lower cost than those of an accuracy-based structure.

ACS Style

Fang Yuan Xu; Rui Xin Tang; Si Bin Xu; Yi Liang Fan; Ya Zhou; Hao Tian Zhang. Neural network-based photovoltaic generation capacity prediction system with benefit-oriented modification. Energy 2021, 223, 119748 .

AMA Style

Fang Yuan Xu, Rui Xin Tang, Si Bin Xu, Yi Liang Fan, Ya Zhou, Hao Tian Zhang. Neural network-based photovoltaic generation capacity prediction system with benefit-oriented modification. Energy. 2021; 223 ():119748.

Chicago/Turabian Style

Fang Yuan Xu; Rui Xin Tang; Si Bin Xu; Yi Liang Fan; Ya Zhou; Hao Tian Zhang. 2021. "Neural network-based photovoltaic generation capacity prediction system with benefit-oriented modification." Energy 223, no. : 119748.

Journal article
Published: 19 January 2021 in Nature Communications
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Express delivery services are booming in both developed and emerging economies due to their low cost, convenience, and the fast growth in online shopping. The increasing environmental impacts of express delivery services and mitigation potentials, however, remain largely unexplored. Here we addressed such a gap for China, a country which is expanding online retail sales and express delivery rapidly. We found a total of 8.8 Mt of scrap packaging materials were generated by the express delivery sector in China in 2018. Its transportation-related GHG emissions surged from 0.3 Mt in 2007 to 13.7 Mt of CO2-equivalent (CO2e) in 2018, with an average of 0.27 kgCO2e per piece. Over 80% from online shopping deliveries. We predict these emissions will reach 75 MtCO2e by 2035. Nevertheless, it is possible to mitigate such GHG emissions by 102~134 MtCO2e between 2020 and 2035 if a suite of policies is adopted, including a slowdown of delivery speed, fuel system upgrades, packaging materials reduction, logistics optimization, and carbon pricing.

ACS Style

Peng Kang; Guanghan Song; Ming Xu; Travis R. Miller; Haikun Wang; Hui Zhang; Gang Liu; Ya Zhou; Junshu Ren; Ruoyu Zhong; Huabo Duan. Low-carbon pathways for the booming express delivery sector in China. Nature Communications 2021, 12, 1 -8.

AMA Style

Peng Kang, Guanghan Song, Ming Xu, Travis R. Miller, Haikun Wang, Hui Zhang, Gang Liu, Ya Zhou, Junshu Ren, Ruoyu Zhong, Huabo Duan. Low-carbon pathways for the booming express delivery sector in China. Nature Communications. 2021; 12 (1):1-8.

Chicago/Turabian Style

Peng Kang; Guanghan Song; Ming Xu; Travis R. Miller; Haikun Wang; Hui Zhang; Gang Liu; Ya Zhou; Junshu Ren; Ruoyu Zhong; Huabo Duan. 2021. "Low-carbon pathways for the booming express delivery sector in China." Nature Communications 12, no. 1: 1-8.

Journal article
Published: 11 January 2021 in One Earth
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SummaryCities, contributing more than 75% of global carbon emissions, are at the heart of climate change mitigation. Given cities' heterogeneity, they need specific low-carbon roadmaps instead of one-size-fits-all approaches. Here, we present the most detailed and up-to-date accounts of CO2 emissions for 294 cities in China and examine the extent to which their economic growth was decoupled from emissions. Results show that from 2005 to 2015, only 11% of cities exhibited strong decoupling, whereas 65.6% showed weak decoupling, and 23.4% showed no decoupling. We attribute the economic-emission decoupling in cities to several socioeconomic factors (i.e., structure and size of the economy, emission intensity, and population size) and find that the decline in emission intensity via improvement in production and carbon efficiency (e.g., decarbonizing the energy mix via building a renewable energy system) is the most important one. The experience and status quo of carbon emissions and emission-GDP (gross domestic product) decoupling in Chinese cities may have implications for other developing economies to design low-carbon development pathways.

ACS Style

Yuli Shan; Shuai Fang; Bofeng Cai; Ya Zhou; Dong Li; Kuishuang Feng; Klaus Hubacek. Chinese cities exhibit varying degrees of decoupling of economic growth and CO2 emissions between 2005 and 2015. One Earth 2021, 4, 124 -134.

AMA Style

Yuli Shan, Shuai Fang, Bofeng Cai, Ya Zhou, Dong Li, Kuishuang Feng, Klaus Hubacek. Chinese cities exhibit varying degrees of decoupling of economic growth and CO2 emissions between 2005 and 2015. One Earth. 2021; 4 (1):124-134.

Chicago/Turabian Style

Yuli Shan; Shuai Fang; Bofeng Cai; Ya Zhou; Dong Li; Kuishuang Feng; Klaus Hubacek. 2021. "Chinese cities exhibit varying degrees of decoupling of economic growth and CO2 emissions between 2005 and 2015." One Earth 4, no. 1: 124-134.

Journal article
Published: 15 September 2020 in Nature Food
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China has a rapidly growing online food delivery and takeaway market, serving 406 million customers with 10.0 billion orders and generating 323 kilotonnes of tableware and packaging waste in 2018. Here we use a top-down approach with city-level takeaway order data to explore the packaging waste and life-cycle environmental impacts of the takeaway industry in China. The ten most wasteful cities, with just 7% of the population, in terms of per capita waste generation, were responsible for 30% of the country’s takeaway waste, 27–34% of the country’s pollutant emissions and 30% of the country’s water consumption. We defined one paper substitution and two sharing tableware scenarios to simulate the environmental mitigation potentials. The results of the scenario simulations show that sharing tableware could reduce waste generation by up to 92%, and environmental emissions and water consumption by more than two-thirds. Such a mechanism provides a potential solution to address the food packaging waste dilemma and a new strategy for promoting sustainable and zero-waste lifestyles. The online food delivery and takeaway market is growing in China, serving 406 million customers with 10.0 billion orders in 2018. Here, data from an online food delivery platform, life-cycle environmental impacts of packaging and tableware waste generated across 353 cities in China, and scenarios for paper alternatives and tableware sharing are presented.

ACS Style

Ya Zhou; Yuli Shan; Dabo Guan; Xi Liang; Yanpeng Cai; Jingru Liu; Wei Xie; Jinjun Xue; Zhuguo Ma; Zhifeng Yang. Sharing tableware reduces waste generation, emissions and water consumption in China’s takeaway packaging waste dilemma. Nature Food 2020, 1, 552 -561.

AMA Style

Ya Zhou, Yuli Shan, Dabo Guan, Xi Liang, Yanpeng Cai, Jingru Liu, Wei Xie, Jinjun Xue, Zhuguo Ma, Zhifeng Yang. Sharing tableware reduces waste generation, emissions and water consumption in China’s takeaway packaging waste dilemma. Nature Food. 2020; 1 (9):552-561.

Chicago/Turabian Style

Ya Zhou; Yuli Shan; Dabo Guan; Xi Liang; Yanpeng Cai; Jingru Liu; Wei Xie; Jinjun Xue; Zhuguo Ma; Zhifeng Yang. 2020. "Sharing tableware reduces waste generation, emissions and water consumption in China’s takeaway packaging waste dilemma." Nature Food 1, no. 9: 552-561.

Original research article
Published: 09 April 2020 in Frontiers in Earth Science
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China, with its fragile environment and ecosystems, is vulnerable to climate change. Continuous changes in climatic conditions have altered precipitation patterns in most regions of China. Droughts become more frequent and severe in the Xi River basin in South China. It is expected that rapid urbanization and climate change will continue to aggravate water stress in this region. There is an urgent need to develop sustainable water management strategies in face of growing water demand and changing water availability. Projection of future climate change impacts on drought conditions has thus become imperative to support improved decision-making in sustainable water management. In this study, we assessed the risk of extreme droughts under future climate projections in the Xi River basin. The variable infiltration capacity (VIC) model was applied to simulate the hydrological processes of the basin under a multitude of future climate scenarios from CMIP5. Based on the precipitation and runoff series obtained from the VIC model, a comprehensive analysis with respect to the major characteristics of meteorological and hydrological droughts had been carried out. This study is of practical and theoretical importance to both policymakers and scholars. First, this study may be a readily available reference work for policymakers when taking consideration of building drought mitigation plans into future water management practices. Second, the findings in this study may provide some valuable insights into the inherent connection between climatic and hydrological changes under a changing climate. Recognition of the connection and interrelation may contribute to the improvement of climatic and hydrological models in practices.

ACS Style

Keyi Wang; Jun Niu; Tiejian Li; Yang Zhou. Facing Water Stress in a Changing Climate: A Case Study of Drought Risk Analysis Under Future Climate Projections in the Xi River Basin, China. Frontiers in Earth Science 2020, 8, 1 .

AMA Style

Keyi Wang, Jun Niu, Tiejian Li, Yang Zhou. Facing Water Stress in a Changing Climate: A Case Study of Drought Risk Analysis Under Future Climate Projections in the Xi River Basin, China. Frontiers in Earth Science. 2020; 8 ():1.

Chicago/Turabian Style

Keyi Wang; Jun Niu; Tiejian Li; Yang Zhou. 2020. "Facing Water Stress in a Changing Climate: A Case Study of Drought Risk Analysis Under Future Climate Projections in the Xi River Basin, China." Frontiers in Earth Science 8, no. : 1.

Journal article
Published: 05 December 2019 in Sustainability
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In this study, a dual interval robust stochastic dynamic programming (DIRSDP) method is developed for planning water resources management systems under uncertainty. As an extension of the existing interval stochastic dynamic programming (ISDP) method, DIRSDP can deal with two-stage stochastic programming (TSP)-based planning problems associated with dynamic features, input uncertainties, and multistage concerns. Compared with other optimization methods dealing with uncertainties, the developed DIRSDP method has advantages in addressing uncertainties with complex presentations and reflecting decision makers’ risk-aversion attitudes within its optimization process. Parameters in the DIRSDP model can be represented as probability distributions as well as single and/or dual intervals. Decision makers’ risk-aversion attitudes can be reflected through restricting the deviation of the recourse costs to a tolerance level. Water-allocation plans can then be developed based on the analysis of tradeoffs between the system benefit and solution robustness. The developed method is applied to a case of water resources management planning. The solutions are reasonable, indicating applicability of the developed methodology.

ACS Style

Zhenfang Liu; Yang Zhou; Gordon Huang; Bin Luo. Risk Aversion Based Inexact Stochastic Dynamic Programming Approach for Water Resources Management Planning under Uncertainty. Sustainability 2019, 11, 6926 .

AMA Style

Zhenfang Liu, Yang Zhou, Gordon Huang, Bin Luo. Risk Aversion Based Inexact Stochastic Dynamic Programming Approach for Water Resources Management Planning under Uncertainty. Sustainability. 2019; 11 (24):6926.

Chicago/Turabian Style

Zhenfang Liu; Yang Zhou; Gordon Huang; Bin Luo. 2019. "Risk Aversion Based Inexact Stochastic Dynamic Programming Approach for Water Resources Management Planning under Uncertainty." Sustainability 11, no. 24: 6926.

Journal article
Published: 29 October 2019 in Energy
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Sharing economy leads to a series of revolutions in various industries, which increases the efficiency of assets utilization and reduces redundant products. Parking space sharing is a typical presentation of sharing economy. With the rapid development of electric vehicle (EV), shared parking with EVs brings a large storage resources with dynamic entry and exit behaviours for microgrid. This paper proposes a new market framework for shared parking space with EVs. This framework provides chances for microgrid or aggregator to utilize the EVs’ storages in the demand side management (DSM). DSM in microgrid will optimize their costs by modifying EVs’ charging/discharging behaviours. The benefits earned from DSM will be shared to car owners as well. Moreover, the proposed compensational matching module will use the shared DSM benefit to compensate the price gap between cars and car owners, indicating that DSM on sharing car space can provide more parking chances. A numerical study on practical data is used to verify the model. Results show that the proposed framework can not only reduce the power cost of microgrid and renting fee of cars, but also promote more chances of parking.

ACS Style

Fangyuan Xu; Xujie Chen; Miao Zhang; Ya Zhou; Yanpeng Cai; Yang Zhou; Ruixin Tang; Yifei Wang. A sharing economy market system for private EV parking with consideration of demand side management. Energy 2019, 190, 116321 .

AMA Style

Fangyuan Xu, Xujie Chen, Miao Zhang, Ya Zhou, Yanpeng Cai, Yang Zhou, Ruixin Tang, Yifei Wang. A sharing economy market system for private EV parking with consideration of demand side management. Energy. 2019; 190 ():116321.

Chicago/Turabian Style

Fangyuan Xu; Xujie Chen; Miao Zhang; Ya Zhou; Yanpeng Cai; Yang Zhou; Ruixin Tang; Yifei Wang. 2019. "A sharing economy market system for private EV parking with consideration of demand side management." Energy 190, no. : 116321.

Journal article
Published: 15 October 2019 in Journal of Environmental Management
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To put the brakes on global climate change, China, the world's top emitter, has established ambitious CO2 emissions reduction targets. Industry-level emissions analysis can help policymakers determine better ways to achieve mitigation targets. This study is the first to target the total-factor carbon emission performance (TCPI) of secondary and service industries. We first compile industry-level CO2 emission inventories of 25 Yangtze River Delta cities during 2007–2016. The TCPI of secondary and service industries is then estimated by the non-radial directional distance function. We then compare the TCPI of the two industries across levels, dynamics, and inequalities using a global metafrontier approach. The results show the TCPI of the service industry (0.563 in 2016) was significantly higher than that of secondary industry (0.256 in 2016), suggesting that the service industry was more carbon-friendly. The TCPI gap between the secondary and service industries narrowed over the study period. The TCPI of secondary industry showed a promising increase during 2007–2016 with an annual growth rate of 2.30%, reflecting the positive effects of the government's reforms and environmental regulations. By contrast, the service industry saw a downward trend in TCPI, decreasing by 1.68% annually, primarily because it is a newcomer to low-carbon development. TCPI inequality in secondary industry was much larger than in the service industry, suggesting that significant heterogeneity exists in secondary industry. Therefore, policymakers should implement targeted mitigation policies for secondary industry, and place decarbonising the service industry on the agenda to reverse its decreasing TCPI.

ACS Style

Huijuan Xiao; Yuli Shan; Ning Zhang; Ya Zhou; Daoping Wang; Zhiyuan Duan. Comparisons of CO2 emission performance between secondary and service industries in Yangtze River Delta cities. Journal of Environmental Management 2019, 252, 109667 .

AMA Style

Huijuan Xiao, Yuli Shan, Ning Zhang, Ya Zhou, Daoping Wang, Zhiyuan Duan. Comparisons of CO2 emission performance between secondary and service industries in Yangtze River Delta cities. Journal of Environmental Management. 2019; 252 ():109667.

Chicago/Turabian Style

Huijuan Xiao; Yuli Shan; Ning Zhang; Ya Zhou; Daoping Wang; Zhiyuan Duan. 2019. "Comparisons of CO2 emission performance between secondary and service industries in Yangtze River Delta cities." Journal of Environmental Management 252, no. : 109667.

Journal article
Published: 01 July 2019 in IEEE Transactions on Smart Grid
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Common-cause and cascading outages in extreme power system conditions may challenge traditional N-k transmission security strategies. This paper proposes a resilience index (RI) to evaluate the power system adaptability to extreme conditions and establishes the resilience-constrained economic dispatch (RCED) model and solution methodology in power system operations. A three-stage outage sampling method is presented to assess the proposed RI in severe weather conditions culminating in common-cause and cascading outages. In the proposed RCED model, customized contingency constraints are introduced to represent common-cause and cascading outages in extreme events and two penalty terms are considered that can adjust power transmission flows for lowering outage risks in a power grid. An optimization method is presented to solve the RCED model efficiently with an absolute value function introduced in both objective function and constraints. A sufficient and necessary condition is proposed to ensure the optimality of the linearized solution is the same as that of the original problem. Case studies show the effectiveness of the proposed model and methodology.

ACS Style

Yifei Wang; Liping Huang; Mohammad Shahidehpour; Loi Lei Lai; Ya Zhou. Impact of Cascading and Common-Cause Outages on Resilience-Constrained Optimal Economic Operation of Power Systems. IEEE Transactions on Smart Grid 2019, 11, 590 -601.

AMA Style

Yifei Wang, Liping Huang, Mohammad Shahidehpour, Loi Lei Lai, Ya Zhou. Impact of Cascading and Common-Cause Outages on Resilience-Constrained Optimal Economic Operation of Power Systems. IEEE Transactions on Smart Grid. 2019; 11 (1):590-601.

Chicago/Turabian Style

Yifei Wang; Liping Huang; Mohammad Shahidehpour; Loi Lei Lai; Ya Zhou. 2019. "Impact of Cascading and Common-Cause Outages on Resilience-Constrained Optimal Economic Operation of Power Systems." IEEE Transactions on Smart Grid 11, no. 1: 590-601.

Journal article
Published: 21 June 2019 in Applied Energy
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Demand Side Management (DSM) is an effective measure in load configuration for microgrid power cost control and power system operation. In most extant studies, DSM in microgrid only consider directly controllable devices for load modification. The load triggered by non-controllable devices with sub-decision-makers are regarded as unchangeable load and generally not considered in DSM. A critical reason for unchangeable load is that the sub-decision makers in these microgrids may not sense and react to external dynamic electricity prices. However, these non-changeable loads in some microgrids contribute significantly to the overall power consumption of the system. Thus, a new demand side management scheme is required for these special microgrids so that the load triggered by these sub-decision makers can also response to external dynamic electricity prices. Based on a case study of a university campus, this study proposes a micro-market module to facilitate the participative behaviours of sub-decision makers in a microgrid with extra financial incentives. A university microgrid DSM optimization model is formulated to optimize the total system cost, the control of the microgrid controllable load, the behaviour of sub-decision makers and the micro-market operations are modelled. A new optimization algorithm, the self-crossover genetic algorithm, is proposed. Empirical data from a university is used to conduct a numerical study to test the proposed module and algorithm. The results show that DSM with the micro-market module can reduce the overall electricity cost of the system, and the proposed self-crossover genetic algorithm out-performs traditional optimization algorithms for the proposed model.

ACS Style

Fangyuan Xu; Wanli Wu; Fei Zhao; Ya Zhou; Yongjian Wang; Runji Wu; Tao Zhang; Yongchen Wen; Yiliang Fan; Shengli Jiang. A micro-market module design for university demand-side management using self-crossover genetic algorithms. Applied Energy 2019, 252, 113456 .

AMA Style

Fangyuan Xu, Wanli Wu, Fei Zhao, Ya Zhou, Yongjian Wang, Runji Wu, Tao Zhang, Yongchen Wen, Yiliang Fan, Shengli Jiang. A micro-market module design for university demand-side management using self-crossover genetic algorithms. Applied Energy. 2019; 252 ():113456.

Chicago/Turabian Style

Fangyuan Xu; Wanli Wu; Fei Zhao; Ya Zhou; Yongjian Wang; Runji Wu; Tao Zhang; Yongchen Wen; Yiliang Fan; Shengli Jiang. 2019. "A micro-market module design for university demand-side management using self-crossover genetic algorithms." Applied Energy 252, no. : 113456.

Journal article
Published: 01 June 2019 in Applied Energy
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The implementation of CO2 emission mitigation policies in cities is the key to China achieving its national emission mitigation targets. China is experiencing rapid urbanization and facing huge inequality in regional development and then shrinking cities generate. This study, for the first time, discusses long-term CO2 emission patterns of shrinking cities with comparisons of growing cities. 55 cities in Northeast China and the Yangtze River Delta are selected as cases. We first categorize these cities into three groups of shrinking cities and three groups of growing cities with a population index. Each group’s emission patterns in terms of energy, employment and industry structures are then examined. We find that CO2 emissions in the rapidly shrinking group presented a continuously increasing trend, while the other five groups reached their emission peaks in 2011–2013. For slightly and moderately shrinking groups, CO2 emission mitigation was a positive sign but occurred with the decline of secondary industry, especially for resource-based or heavy manufacturing cities, such as Daqing and Anshan in Northeast China. In the case of three types of growing cities, cities were capable of mitigating CO2 emissions and maintaining economic growth. The slightly growing group was the optimal type among these six groups. Its CO2 emissions experienced a decline with an annual rate of −1.47% during 2013–2015, while the economy still soared (increased by 7.27% annually). New economic growth points should be fostered to mitigate further shrinkage and achieve sustainable development for shrinking cities. The cities’ categorization rules, research thinking, and results offered in this study could provide a reference for other cities or developing countries at similar industrialization/urbanization phases to abbreviate their path towards a low-carbon economy.

ACS Style

Huijuan Xiao; Zhiyuan Duan; Ya Zhou; Ning Zhang; Yuli Shan; Xiyan Lin; Guosheng Liu. CO2 emission patterns in shrinking and growing cities: A case study of Northeast China and the Yangtze River Delta. Applied Energy 2019, 251, 113384 .

AMA Style

Huijuan Xiao, Zhiyuan Duan, Ya Zhou, Ning Zhang, Yuli Shan, Xiyan Lin, Guosheng Liu. CO2 emission patterns in shrinking and growing cities: A case study of Northeast China and the Yangtze River Delta. Applied Energy. 2019; 251 ():113384.

Chicago/Turabian Style

Huijuan Xiao; Zhiyuan Duan; Ya Zhou; Ning Zhang; Yuli Shan; Xiyan Lin; Guosheng Liu. 2019. "CO2 emission patterns in shrinking and growing cities: A case study of Northeast China and the Yangtze River Delta." Applied Energy 251, no. : 113384.

Journal article
Published: 09 January 2019 in Science of The Total Environment
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Lakes are essential water resources in China and their water quality are vital to its sustainability. However, the geochemical processes of trace elements, especially those of seldom-monitored trace elements, have not been adequately studied. Here, the regional geochemical baseline (RGB) of vanadium (V) was established using cumulative frequency and normalization methods. Then, the RGB was applied to quantitatively calculate the anthropogenic contribution rate in sediments of the Poyang Lake (PYL), which is the largest freshwater lake in China. The pollution level and ecological risk of V were evaluated using the geoaccumulation index (Igeo) and potential ecological risk index (EI) with respect to three different reference values, namely local soil background values (BV), the RGB, and the median value of V concentrations. The health risk of V accumulation in residents through fish consumption during sediment resuspension was assessed by combining the environmental impact assessment model and health risk assessment model. The mean concentration of V in PYL sediments was 94.37 mg/kg (33.80–148.53 mg/kg), which was slightly higher than the levels in stream sediments in China, but lower than the local BV. The calculated RGB was slightly higher than the average V content in PYL sediments, but similar to the local BV. The average anthropogenic contribution rate was calculated as 11.48%, demonstrating low anthropogenic influence. Moreover, the result of Igeo and EI showed that V in PYL sediments was uncontaminated and posed a low ecological risk. In addition, based on the calculation by the two models, the human health risk result (target hazard quotient <1) indicated that the average human health risk from fish consumption due to sediment resuspension was negligible.

ACS Style

Yang Zhou; Li Gao; Dongyu Xu; Bo Gao. Geochemical baseline establishment, environmental impact and health risk assessment of vanadium in lake sediments, China. Science of The Total Environment 2019, 660, 1338 -1345.

AMA Style

Yang Zhou, Li Gao, Dongyu Xu, Bo Gao. Geochemical baseline establishment, environmental impact and health risk assessment of vanadium in lake sediments, China. Science of The Total Environment. 2019; 660 ():1338-1345.

Chicago/Turabian Style

Yang Zhou; Li Gao; Dongyu Xu; Bo Gao. 2019. "Geochemical baseline establishment, environmental impact and health risk assessment of vanadium in lake sediments, China." Science of The Total Environment 660, no. : 1338-1345.

Journal article
Published: 21 December 2018 in Sustainability
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In this study, we introduce a robust linear programming approach for water and environmental decision-making under uncertainty. This approach is of significant practical utility to decision makers for obtaining reliable and robust management decisions that are “immune” to the uncertainty attributable to data perturbations. The immunization guarantees that the chosen robust management plan will be implementable with no violation of the mandatory constraints of the problem being studied—i.e., natural resource supply constraint, environmental carrying capacity constraint, environmental pollution control constraint, etc.—and that the actual value of the objective will be no worse than the given estimation if the perturbations of data fall within the specified uncertainty set. A simplified example in regional water quality management is provided to help water and environmental practitioners to better understand how to implement robust linear programming from the perspective of application, as well as to illustrate the significance and necessity of implementing robust optimization techniques in real-world practices. Robust optimization is a growing research field that requires more interdisciplinary research efforts and engagements from water and environmental practitioners. Both may benefit from the advances of management science.

ACS Style

Yang Zhou; Bo Yang; Jingcheng Han; Yuefei Huang. Robust Linear Programming and Its Application to Water and Environmental Decision-Making under Uncertainty. Sustainability 2018, 11, 33 .

AMA Style

Yang Zhou, Bo Yang, Jingcheng Han, Yuefei Huang. Robust Linear Programming and Its Application to Water and Environmental Decision-Making under Uncertainty. Sustainability. 2018; 11 (1):33.

Chicago/Turabian Style

Yang Zhou; Bo Yang; Jingcheng Han; Yuefei Huang. 2018. "Robust Linear Programming and Its Application to Water and Environmental Decision-Making under Uncertainty." Sustainability 11, no. 1: 33.