Pub Date : 2024-11-21DOI: 10.1016/j.jclepro.2024.144271
Changying Wan, Yue Zhou, Liuna Geng
With the planet warming, extreme heat events are becoming increasingly frequent and hazardous. At the same time, reducing carbon emissions from consumer activities is crucial for addressing global warming. This study aims to explore how extreme heat affects low-carbon consumption behaviors, leading to a more comprehensive understanding of the relationship between climate change and human behavior. Guided by resource scarcity theory and the general strain theory. The laboratory experiment used the recall paradigm to induce extreme heat experiences (Study 1, n = 198), and we found that extreme heat impacts low-carbon consumption through climate change anxiety: cognitive climate change anxiety tends to increase low-carbon behaviors, while affective climate change anxiety inhibits low-carbon behaviors. The field experiments conducted on actual extreme heat days and using simulated purchasing decision-making methods (Study 2, n= 203) further confirmed the laboratory findings. An inverted U-shaped relationship between climate change anxiety and low-carbon consumption was also revealed. In summary, the current study reveals the differential impact of cognitive and affective climate anxiety on low-carbon consumer behavior. This finding provides new insights for understanding the complex psychological mechanisms of extreme climate events on consumer behavior, which could also serve as an operational basis for intervention design and policy making.
随着地球变暖，极端高温事件越来越频繁，危害也越来越大。与此同时，减少消费活动的碳排放对于应对全球变暖至关重要。本研究旨在探讨极端高温如何影响低碳消费行为，从而更全面地了解气候变化与人类行为之间的关系。以资源稀缺理论和一般应变理论为指导。实验室实验采用回忆范式诱导极端高温体验（研究 1，n = 198），我们发现极端高温通过气候变化焦虑影响低碳消费：认知性气候变化焦虑倾向于增加低碳行为，而情感性气候变化焦虑抑制低碳行为。在实际极端高温天进行的实地实验和模拟购买决策方法（研究 2，n= 203）进一步证实了实验室研究结果。研究还发现，气候变化焦虑与低碳消费之间存在倒 U 型关系。总之，本研究揭示了认知性气候焦虑和情感性气候焦虑对低碳消费行为的不同影响。这一发现为理解极端气候事件对消费者行为的复杂心理机制提供了新的见解，也可作为干预设计和政策制定的操作依据。
{"title":"Low-carbon consumption in extreme heat in Eastern China: climate change anxiety as a facilitator or inhibitor?","authors":"Changying Wan, Yue Zhou, Liuna Geng","doi":"10.1016/j.jclepro.2024.144271","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144271","url":null,"abstract":"With the planet warming, extreme heat events are becoming increasingly frequent and hazardous. At the same time, reducing carbon emissions from consumer activities is crucial for addressing global warming. This study aims to explore how extreme heat affects low-carbon consumption behaviors, leading to a more comprehensive understanding of the relationship between climate change and human behavior. Guided by resource scarcity theory and the general strain theory. The laboratory experiment used the recall paradigm to induce extreme heat experiences (Study 1, <em>n</em> = 198), and we found that extreme heat impacts low-carbon consumption through climate change anxiety: cognitive climate change anxiety tends to increase low-carbon behaviors, while affective climate change anxiety inhibits low-carbon behaviors. The field experiments conducted on actual extreme heat days and using simulated purchasing decision-making methods (Study 2, <em>n</em>= 203) further confirmed the laboratory findings. An inverted U-shaped relationship between climate change anxiety and low-carbon consumption was also revealed. In summary, the current study reveals the differential impact of cognitive and affective climate anxiety on low-carbon consumer behavior. This finding provides new insights for understanding the complex psychological mechanisms of extreme climate events on consumer behavior, which could also serve as an operational basis for intervention design and policy making.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"62 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nitrification is a highly temperature-sensitive biological process, yet relatively little research has explored thermodynamic characteristics of enzyme-catalyzed nitrification processes in wastewater treatment systems. In this study, a variety of thermodynamic models were employed to evaluate thermodynamic characteristics of four activated sludge samples cultivated under various temperatures (10, 15, and 20°C) and ammonia nitrogen concentration (40 mg/L and 300 mg/L). Results revealed a higher maximum temperature (Tmax) for ammonia oxidizing bacteria (AOB) compared to nitrite oxidizing bacteria (NOB), suggesting the robust resistance to high temperatures of AOB. Conversely, the lower minimum temperature (Tmin) of NOB indicated its stronger tolerance to low temperatures. Notably, both low temperatures and high-ammonia nitrogen concentrations are conducive to the competition of Nitrotoga over Nitrospira, resulting in Nitrotoga emerging as the dominant NOB within 10∼15°C. Moreover, heat capacity (ΔCpǂ) of enzymes exhibited a similar trend across all samples, i.e. HAO>AMO>NOR, indicating that HAO exhibited the strongest thermodynamic stability, followed by AMO, and NOR has the worst thermodynamic stability. Additionally, the difference in optimal temperature (Topt) between dominant AOB-Nitrosomonas and dominant NOB-Nitrotoga cultivated at high nitrogen concentration and low temperature could reach up to +8.13°C, enabling selective inactivation of NOR through thermal treatment at Topt,AOB∼Topt,NOB. However, despite insignificant differences in Topt,AOB and Topt,NOB under low-temperature and low-ammonia nitrogen concentration, the smaller the difference between Tmax and Top (Tmax-Topt) of NOB and smaller D-value of NOR made NOB more susceptible to inhibition than AOB. However, the presence of low-abundance Nitrospira renders thermal treatment alone inadequate for complete NOB inhibition, combing it with other strategies is necessary for effective inhibition. Therefore, the fundamental differences in thermodynamic characteristics of AOB and NOB determine the potential of NOB inhibition strategies at low temperatures.
{"title":"Thermodynamic characteristics of nitrifiers reveal the potential NOB inhibition strategies at low temperatures","authors":"Ren Li, Lifang Yu, Rui Jiang, Tian Liu, Zhuoya Li, Dangcong Peng","doi":"10.1016/j.jclepro.2024.144255","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144255","url":null,"abstract":"Nitrification is a highly temperature-sensitive biological process, yet relatively little research has explored thermodynamic characteristics of enzyme-catalyzed nitrification processes in wastewater treatment systems. In this study, a variety of thermodynamic models were employed to evaluate thermodynamic characteristics of four activated sludge samples cultivated under various temperatures (10, 15, and 20°C) and ammonia nitrogen concentration (40 mg/L and 300 mg/L). Results revealed a higher maximum temperature (<em>T</em><sub><em>max</em></sub>) for ammonia oxidizing bacteria (AOB) compared to nitrite oxidizing bacteria (NOB), suggesting the robust resistance to high temperatures of AOB. Conversely, the lower minimum temperature (<em>T</em><sub><em>min</em></sub>) of NOB indicated its stronger tolerance to low temperatures. Notably, both low temperatures and high-ammonia nitrogen concentrations are conducive to the competition of <em>Nitrotoga</em> over <em>Nitrospira</em>, resulting in <em>Nitrotoga</em> emerging as the dominant NOB within 10∼15°C. Moreover, heat capacity (<em>ΔC</em><sub><em>p</em></sub><sup><em>ǂ</em></sup>) of enzymes exhibited a similar trend across all samples, <em>i.e.</em> HAO>AMO>NOR, indicating that HAO exhibited the strongest thermodynamic stability, followed by AMO, and NOR has the worst thermodynamic stability. Additionally, the difference in optimal temperature (<em>T</em><sub><em>opt</em></sub>) between dominant AOB<em>-Nitrosomonas</em> and dominant NOB-<em>Nitrotoga</em> cultivated at high nitrogen concentration and low temperature could reach up to +8.13°C, enabling selective inactivation of NOR through thermal treatment at <em>T</em><sub><em>opt,AOB</em></sub>∼<em>T</em><sub><em>opt,NOB</em></sub>. However, despite insignificant differences in <em>T</em><sub><em>opt,AOB</em></sub> and <em>T</em><sub><em>opt,NOB</em></sub> under low-temperature and low-ammonia nitrogen concentration, the smaller the difference between <em>T</em><sub><em>max</em></sub> and <em>T</em><sub><em>op</em></sub> (<em>T</em><sub><em>max</em></sub><em>-T</em><sub><em>opt</em></sub>) of NOB and smaller <em>D</em>-value of NOR made NOB more susceptible to inhibition than AOB. However, the presence of low-abundance <em>Nitrospira</em> renders thermal treatment alone inadequate for complete NOB inhibition, combing it with other strategies is necessary for effective inhibition. Therefore, the fundamental differences in thermodynamic characteristics of AOB and NOB determine the potential of NOB inhibition strategies at low temperatures.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"13 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1016/j.jclepro.2024.144274
Dongdong Wu, Yan Zhang, Xiangyi Yu
High-intensity human activities at urban scale profoundly affect the nitrogen and phosphorus cycle. However, few studies analyzed their coupled characteristic in flow process and the associated ecological risks. In this study, a 32-node model and coupling indicators were developed from a metabolic perspective to analyze the N and P budget, flow, coupling characteristics and the ecological risks arising from their emissions in Minnan-Triangle cities. Results showed that from 2000 to 2021, the N and P budget for each city continued to grow but sustained imbalance. The residential nodes of Xiamen, agricultural nodes of Zhangzhou, and industrial nodes of Quanzhou accounted for more than 10% of the total budget during the metabolic process. Nitrogen and phosphorus collectively involved in 62% of the flows number and the N/P ratio exhibited an increasing pattern along the industrial supply chain. The N/P ratio increased from 4:1 in upstream agricultural entities to 8:1 in the end-consumption entities. Emissions from high energy-consuming nodes led to a 17%, 140% and 80% increase in the environmental pollution risk in Xiamen, Zhangzhou, and Quanzhou. The standardized and unified framework and the coupling indicators constructed in this study provide a basis for future academic research. While the combination of risk assessment with process analysis and the consideration of coupling characteristic facilitate the proposal of targeted regulatory measures for key nodes or pathways.
{"title":"Nitrogen and phosphorus metabolism together lead to a continuous increase in the environmental pollution risk in Minnan-Triangle cities","authors":"Dongdong Wu, Yan Zhang, Xiangyi Yu","doi":"10.1016/j.jclepro.2024.144274","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144274","url":null,"abstract":"High-intensity human activities at urban scale profoundly affect the nitrogen and phosphorus cycle. However, few studies analyzed their coupled characteristic in flow process and the associated ecological risks. In this study, a 32-node model and coupling indicators were developed from a metabolic perspective to analyze the N and P budget, flow, coupling characteristics and the ecological risks arising from their emissions in Minnan-Triangle cities. Results showed that from 2000 to 2021, the N and P budget for each city continued to grow but sustained imbalance. The residential nodes of Xiamen, agricultural nodes of Zhangzhou, and industrial nodes of Quanzhou accounted for more than 10% of the total budget during the metabolic process. Nitrogen and phosphorus collectively involved in 62% of the flows number and the N/P ratio exhibited an increasing pattern along the industrial supply chain. The N/P ratio increased from 4:1 in upstream agricultural entities to 8:1 in the end-consumption entities. Emissions from high energy-consuming nodes led to a 17%, 140% and 80% increase in the environmental pollution risk in Xiamen, Zhangzhou, and Quanzhou. The standardized and unified framework and the coupling indicators constructed in this study provide a basis for future academic research. While the combination of risk assessment with process analysis and the consideration of coupling characteristic facilitate the proposal of targeted regulatory measures for key nodes or pathways.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"18 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1016/j.jclepro.2024.144270
Shijia Chong, Jialin You, Jing Wu, I-Shin Chang
Land use of photovoltaic (PV) facilities has always been a pressing research field, as the transition to renewable energy requires balancing between land productivity and energy generation. A comprehensive assessment of PV land use benefits is crucial for informed deployment decisions. Here, we propose a multidimensional land use analysis framework, focusing on power generation, production, ecology, and their co-benefits, aiming to assess the impact of PV applications on land use and to quantify the ensuing changes in land value. The results show that PV deployment significantly increases land values. Specifically, the power generation value of PV land in China ranges from 1.90×105 to 5.09×105CNY/hm2; the production value brought by agricultural development ranges from 6.28×104 to 1.53×105CNY/hm2, and the value of ecosystem services provided by the land ranges from 2.43×104 to 8.95×104CNY/hm2. From a power station type perspective, the development potential for agricultural PV systems in optimizing layout and flexible use is infinite. This system can create tremendous increments in land value. Building desert-based PV plants provides the highest appreciation multiple for arid areas’ land resources while bringing sustainable economic and ecological prosperity. This study contributes to a better understanding of the current impact of PV deployment on land resources, and helps policymakers and stakeholders find intrinsic linkages between energy and the economy, ecology, and the environment, thus guiding and steering a more sustainable development of renewable energy planning and land use optimization in China.
{"title":"Booming solar energy drives land value enhancement: Evidence from 648 photovoltaic projects in China","authors":"Shijia Chong, Jialin You, Jing Wu, I-Shin Chang","doi":"10.1016/j.jclepro.2024.144270","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144270","url":null,"abstract":"Land use of photovoltaic (PV) facilities has always been a pressing research field, as the transition to renewable energy requires balancing between land productivity and energy generation. A comprehensive assessment of PV land use benefits is crucial for informed deployment decisions. Here, we propose a multidimensional land use analysis framework, focusing on power generation, production, ecology, and their co-benefits, aiming to assess the impact of PV applications on land use and to quantify the ensuing changes in land value. The results show that PV deployment significantly increases land values. Specifically, the power generation value of PV land in China ranges from 1.90×10<sup>5</sup> to 5.09×10<sup>5</sup>CNY/hm<sup>2</sup>; the production value brought by agricultural development ranges from 6.28×10<sup>4</sup> to 1.53×10<sup>5</sup>CNY/hm<sup>2</sup>, and the value of ecosystem services provided by the land ranges from 2.43×10<sup>4</sup> to 8.95×10<sup>4</sup>CNY/hm<sup>2</sup>. From a power station type perspective, the development potential for agricultural PV systems in optimizing layout and flexible use is infinite. This system can create tremendous increments in land value. Building desert-based PV plants provides the highest appreciation multiple for arid areas’ land resources while bringing sustainable economic and ecological prosperity. This study contributes to a better understanding of the current impact of PV deployment on land resources, and helps policymakers and stakeholders find intrinsic linkages between energy and the economy, ecology, and the environment, thus guiding and steering a more sustainable development of renewable energy planning and land use optimization in China.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"23 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1016/j.jclepro.2024.144273
Elizabeth Migoni Alejandre, Gilbert Koskamp, Mick van de Leur, Alexander Wandl, Arjan van Timmeren
More than 20% of global carbon emissions are linked with the production of construction materials used in the built environment. The use of bio-materials along with urban densification strategies that avoid demolition and reduce material demand, have been recommended to achieve urban sustainability goals. Addressing these measures, this study compares the life cycle embodied carbon emissions of seven hybrid top-up structural systems composed of concrete, steel and advanced engineered timber products made out of softwood and hardwood species. The life cycle carbon emissions (expressed in kgCO2-eq) were estimated following a cradle-to-grave approach, with a functional unit equivalent to 1m2 of top-up structural system and focusing on The Netherlands and the city of Amsterdam as main geographical scope. An statistical analysis was included to account for the potential variation of emissions across each life cycle stage, using Monte Carlo simulations for random sampling. The results indicate that predominantly bio-based structures present a staggering 60% lower embodied carbon emissions compared with predominantly concrete, steel and modestly hybrid systems. Preserving the long-term carbon storage capacity of timber elements through high-quality reuse can offset 30-60% of the total positive emissions of the predominantly bio-based systems. Up to 6MtCO2-eq of the national carbon budget in The Netherlands can be saved from a radical uptake of bio-based structures in Amsterdam by 2050. Diversification of material diets with bio-based alternatives is recommended, along with established policy that can guarantee sustainable sourcing and prolonged lifespans through high-end reuse practices.
{"title":"Quantifying the life cycle emissions of hybrid structures with advanced bio- and conventional materialization for low-embodied carbon urban densification of the Amsterdam Metropolitan Area","authors":"Elizabeth Migoni Alejandre, Gilbert Koskamp, Mick van de Leur, Alexander Wandl, Arjan van Timmeren","doi":"10.1016/j.jclepro.2024.144273","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144273","url":null,"abstract":"More than 20% of global carbon emissions are linked with the production of construction materials used in the built environment. The use of bio-materials along with urban densification strategies that avoid demolition and reduce material demand, have been recommended to achieve urban sustainability goals. Addressing these measures, this study compares the life cycle embodied carbon emissions of seven hybrid top-up structural systems composed of concrete, steel and advanced engineered timber products made out of softwood and hardwood species. The life cycle carbon emissions (expressed in kgCO<sub>2</sub>-eq) were estimated following a cradle-to-grave approach, with a functional unit equivalent to 1m<sup>2</sup> of top-up structural system and focusing on The Netherlands and the city of Amsterdam as main geographical scope. An statistical analysis was included to account for the potential variation of emissions across each life cycle stage, using Monte Carlo simulations for random sampling. The results indicate that predominantly bio-based structures present a staggering 60% lower embodied carbon emissions compared with predominantly concrete, steel and modestly hybrid systems. Preserving the long-term carbon storage capacity of timber elements through high-quality reuse can offset 30-60% of the total positive emissions of the predominantly bio-based systems. Up to 6MtCO<sub>2</sub>-eq of the national carbon budget in The Netherlands can be saved from a radical uptake of bio-based structures in Amsterdam by 2050. Diversification of material diets with bio-based alternatives is recommended, along with established policy that can guarantee sustainable sourcing and prolonged lifespans through high-end reuse practices.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"57 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1016/j.jclepro.2024.144257
Melanie Valencia, Marc Craps, Milena Yepez, María Fernanda Solíz
Section snippets
Methods
Using qualitative research for understanding the sociomaterial network, case studies have been shown to be an adequate tool for theoretical sampling (Eisenhardt & Graebner, 2007). Even though the research team had built rapport with the waste picker community since 2011 (Solíz, 2014), it had limited traction with other actors in the city. The intention of this study was to broaden the scope of the work from recycling to a CE. This research was performed during multiple visits lasting a total of
Results
The abductive process led to a focus on the material value informing social interactions and the relationships among actors defining material exchanges. Then we explored the practices and expectations among them. These results will be later discussed with a systemic thinking perspective adding the policy context, power dynamics and the mental model implications.
Empirical contributions
The constant variation in the economic value of recyclable material associated with the commodity market and the lack of transparency to the whole network end up affecting the most vulnerable, waste pickers, but also municipal waste workers and citizens paying with taxes for the burden of excess material that ends up being buried. Furthermore, even though recycling has been deemed one of the least favorable of the CE strategies, there are thermodynamic limits to all the other strategies in
Conclusion
The sociomaterial material interaction points in the intermediate city of Portoviejo provide an example of the relevance of a systemic assessment of the material value, the relationships and roles that need to be taken up in the transition to a CE. Strengthening current relationships and connecting ignored actors into the network will be crucial to guarantee an inclusive CE that also provides new value to the management of materials in a volatile market. Intermediate cities in the Global South,
Uncited reference
Hollander et al., 2017; Hansen, 2000; INEC, 2022; Wetengere, 2018.
Declaration of Competing Interest
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Melanie Valencia, Marc Craps, Milena Yepez and María Fernanda Solíz report financial support was provided by VLIR-UOS.
Acknowledgements
This research was funded through Universidad Andina Simón Bolívar and VLIR-UOS Team project EC2018TEA460A101.
{"title":"Sociomaterial Networks for a Systemic Circular Economy Transition In An Intermediate Global South City","authors":"Melanie Valencia, Marc Craps, Milena Yepez, María Fernanda Solíz","doi":"10.1016/j.jclepro.2024.144257","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144257","url":null,"abstract":"<h2>Section snippets</h2><section><section><h2>Methods</h2>Using qualitative research for understanding the sociomaterial network, case studies have been shown to be an adequate tool for theoretical sampling (Eisenhardt & Graebner, 2007). Even though the research team had built rapport with the waste picker community since 2011 (Solíz, 2014), it had limited traction with other actors in the city. The intention of this study was to broaden the scope of the work from recycling to a CE. This research was performed during multiple visits lasting a total of</section></section><section><section><h2>Results</h2>The abductive process led to a focus on the material value informing social interactions and the relationships among actors defining material exchanges. Then we explored the practices and expectations among them. These results will be later discussed with a systemic thinking perspective adding the policy context, power dynamics and the mental model implications.</section></section><section><section><section><h2>Empirical contributions</h2>The constant variation in the economic value of recyclable material associated with the commodity market and the lack of transparency to the whole network end up affecting the most vulnerable, waste pickers, but also municipal waste workers and citizens paying with taxes for the burden of excess material that ends up being buried. Furthermore, even though recycling has been deemed one of the least favorable of the CE strategies, there are thermodynamic limits to all the other strategies in</section></section></section><section><section><h2>Conclusion</h2>The sociomaterial material interaction points in the intermediate city of Portoviejo provide an example of the relevance of a systemic assessment of the material value, the relationships and roles that need to be taken up in the transition to a CE. Strengthening current relationships and connecting ignored actors into the network will be crucial to guarantee an inclusive CE that also provides new value to the management of materials in a volatile market. Intermediate cities in the Global South,</section></section><section><section><h2>Uncited reference</h2>Hollander et al., 2017; Hansen, 2000; INEC, 2022; Wetengere, 2018.</section></section><section><section><h2>Declaration of Competing Interest</h2>The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Melanie Valencia, Marc Craps, Milena Yepez and María Fernanda Solíz report financial support was provided by VLIR-UOS.</section></section><section><section><h2>Acknowledgements</h2>This research was funded through Universidad Andina Simón Bolívar and VLIR-UOS Team project EC2018TEA460A101.</section></section>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"1 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The global electroplating industry generates huge amounts of metal-laden wastewater annually, necessitating a significant number of treatment plants to manage this waste. Metals can induce the expression of antibiotic resistance genes (ARGs) through multiple pathways, making metal-rich electroplating wastewater treatment systems potential overlooked ARG reservoirs. Given that antibiotic resistance is an increasing global threat to human health, exploring the distribution of ARGs and their enrichment mechanisms in electroplating wastewater treatment systems is important for controlling the risk of ARG transmission. This study focused on the largest electroplating wastewater treatment plant in South China, and utilized metagenomic techniques and statistical analysis to elucidate that the enrichment of ARGs (mainly Multidrug, Sulfonamide, and Bacitracin) in the electroplating wastewater treatment system was caused by metal accumulation in sludge and biomembranes, and by the co-selection of metal resistance genes. Co-occurrence relationship analyses suggested that the abundance of ARGs was highly correlated with the abundance of mobile genetic elements; thus, the system may be at risk of horizontal ARG gene transfer. Variation partitioning analysis and partial least squares path modeling analyses confirmed that metals were the most significant factors influencing changes in ARGs abundance. This study revealed, for the first time, the distribution of ARGs and their correlations with metals, metal resistance genes, mobile genetic elements, and microbes in an electroplating wastewater treatment system, thereby refreshing the knowledge of ARGs reservoirs, which is of great significance for controlling the risk of ARGs.
{"title":"Electroplating Wastewater Treatment System: An Overlooked Reservoir of Antibiotic Resistance Genes","authors":"Xiaofan Yang, Liqiu Zhang, Huarong Yu, Shugeng Li, Haiyang Yang, Yuxuan Wan, Fangshu Qu","doi":"10.1016/j.jclepro.2024.144265","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144265","url":null,"abstract":"The global electroplating industry generates huge amounts of metal-laden wastewater annually, necessitating a significant number of treatment plants to manage this waste. Metals can induce the expression of antibiotic resistance genes (ARGs) through multiple pathways, making metal-rich electroplating wastewater treatment systems potential overlooked ARG reservoirs. Given that antibiotic resistance is an increasing global threat to human health, exploring the distribution of ARGs and their enrichment mechanisms in electroplating wastewater treatment systems is important for controlling the risk of ARG transmission. This study focused on the largest electroplating wastewater treatment plant in South China, and utilized metagenomic techniques and statistical analysis to elucidate that the enrichment of ARGs (mainly Multidrug, Sulfonamide, and Bacitracin) in the electroplating wastewater treatment system was caused by metal accumulation in sludge and biomembranes, and by the co-selection of metal resistance genes. Co-occurrence relationship analyses suggested that the abundance of ARGs was highly correlated with the abundance of mobile genetic elements; thus, the system may be at risk of horizontal ARG gene transfer. Variation partitioning analysis and partial least squares path modeling analyses confirmed that metals were the most significant factors influencing changes in ARGs abundance. This study revealed, for the first time, the distribution of ARGs and their correlations with metals, metal resistance genes, mobile genetic elements, and microbes in an electroplating wastewater treatment system, thereby refreshing the knowledge of ARGs reservoirs, which is of great significance for controlling the risk of ARGs.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"71 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-20DOI: 10.1016/j.jclepro.2024.144266
Anna K. Zinn, Danyelle Greene, Sara Dolnicar
Hotels are increasingly moving away from daily room cleaning. Offering room cleaning only upon request has been proven to reduce emissions and save hotels money. However, effective communication is crucial to preserve guest satisfaction. There is a research gap on how to best communicate such default changes and whether different messaging approaches can either increase their efficacy or reduce their effectiveness (e.g., by causing reactance). In a survey experiment (N = 800), we tested different theory-derived messages to accompany changes to room cleaning procedures. Several messaging strategies in combination with a default change proved promising: they reduced intended room cleaning requests while preserving satisfaction ratings. In contrast, a default change alone (without a theory-driven message) was ineffective and reduced satisfaction. In a field experiment, we confirmed the effectiveness of one specific message (leveraging the level of control) in combination with a default change: room cleans were reduced from 99% to 45% whilst maintaining guest satisfaction. Theoretically, our findings point to the effectiveness of combining default changes with theory-derived messages. Practically, we put forward an intervention that hotels can immediately and easily adopt.
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Pub Date : 2024-11-20DOI: 10.1016/j.jclepro.2024.144262
Malte Jütting
Innovation ecosystems are faced with high expectations: Not only are they intended to enable companies to keep pace with new innovation dynamics, but are also seen as key for bringing together stakeholders from science, industry, politics and society to jointly develop solutions in light of today’s grand challenges. But how can practitioners develop and strategically design these collaborative endeavors? While the ecosystem concept has been extensively researched over the last years, scientifically-rooted, practitioner-oriented tools enabling the strategic design of such ecosystems remain scarce. Applying a design-science research approach incorporating various methods, such as a scoping review of the literature, a comparative analysis of existing tools or a focus group discussion with practitioners, this paper develops the ‘innovation ecosystem clock model’. Based on the different phases of the underlying co-innovation process, the model is the first to scrutinize the different dimensions of ecosystem strategy along the ecosystem lifecycle. In doing so, the tool developed enables practitioners to analyze and discuss strategic design choices related to key activities, actors, transfer formats, value creation and capture mechanisms as well as governance aspects.
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To reduce carbon emissions, it is important to monitor carbon emissions by industrial users related to electricity. Current monitoring schemes have limited effect in real-time carbon emission monitoring while the development of Advanced metering infrastructure (AMI) and emission factors for carbon-related devices introduces a fresh outlook. Hence, a method based on carbon-related load monitoring in AMI is proposed. The proposed method comprises three essential components: the one-hot component, the random convolution component, and the grid search component. The one-hot component can transform multi-state and multi-device identification into multi-classification problems, making emissions calculations easier for industrial users. The random convolution component effectively distinguishes the electricity characteristics to identify various states of carbon-related devices, while the grid search component optimizes hyperparameters to enhance recognition accuracy and decrease carbon emission monitoring errors. The effectiveness of the proposed approach is evaluated through experiments conducted on several industrial users. Comparative analysis with alternative methods demonstrates the superior performance of the proposed approach, indicating its effectiveness in accurately estimating carbon emissions for industrial users on these metrics including ACC, , , , , and .
为了减少碳排放，监测与电力相关的工业用户的碳排放非常重要。目前的监测方案在实时碳排放监测方面效果有限，而先进计量基础设施（AMI）和碳相关设备排放因子的发展则带来了新的前景。因此，本文提出了一种基于 AMI 中碳相关负荷监测的方法。所提出的方法由三个基本部分组成：单击部分、随机卷积部分和网格搜索部分。单击组件可将多状态和多设备识别转化为多分类问题，使工业用户更容易计算二氧化碳排放量。随机卷积组件能有效区分电力特性，从而识别各种状态的涉碳设备，而网格搜索组件则能优化超参数，从而提高识别精度，减少碳排放监测误差。通过对几个工业用户进行实验，评估了所提方法的有效性。与其他方法的对比分析表明了所提方法的优越性能，表明该方法能在 ACC、Recallmicro、Recallmacro、Precisionmicro、Precisionmacro、F1micro 和 F1macro 等指标上准确估计工业用户的碳排放量。
{"title":"Real time estimation of carbon emissions for industrial users based on load monitoring in advanced metering infrastructure","authors":"Yunpeng Gao, Jiangzhao Wang, Yanqing Zhu, Wei Zhang, Fei Teng, Yunfeng Li","doi":"10.1016/j.jclepro.2024.144226","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144226","url":null,"abstract":"To reduce carbon emissions, it is important to monitor carbon emissions by industrial users related to electricity. Current monitoring schemes have limited effect in real-time carbon emission monitoring while the development of Advanced metering infrastructure (AMI) and emission factors for carbon-related devices introduces a fresh outlook. Hence, a method based on carbon-related load monitoring in AMI is proposed. The proposed method comprises three essential components: the one-hot component, the random convolution component, and the grid search component. The one-hot component can transform multi-state and multi-device identification into multi-classification problems, making <span><math><msub is=\"true\"><mrow is=\"true\"><mtext is=\"true\">CO</mtext></mrow><mrow is=\"true\"><mn is=\"true\">2</mn></mrow></msub></math></span> emissions calculations easier for industrial users. The random convolution component effectively distinguishes the electricity characteristics to identify various states of carbon-related devices, while the grid search component optimizes hyperparameters to enhance recognition accuracy and decrease carbon emission monitoring errors. The effectiveness of the proposed approach is evaluated through experiments conducted on several industrial users. Comparative analysis with alternative methods demonstrates the superior performance of the proposed approach, indicating its effectiveness in accurately estimating carbon emissions for industrial users on these metrics including ACC, <span><math><msub is=\"true\"><mrow is=\"true\"><mi is=\"true\" mathvariant=\"normal\">Recall</mi></mrow><mrow is=\"true\"><mi is=\"true\" mathvariant=\"normal\">micro</mi></mrow></msub></math></span>, <span><math><msub is=\"true\"><mrow is=\"true\"><mi is=\"true\" mathvariant=\"normal\">Recall</mi></mrow><mrow is=\"true\"><mi is=\"true\" mathvariant=\"normal\">macro</mi></mrow></msub></math></span>, <span><math><msub is=\"true\"><mrow is=\"true\"><mi is=\"true\" mathvariant=\"normal\">Precision</mi></mrow><mrow is=\"true\"><mi is=\"true\" mathvariant=\"normal\">micro</mi></mrow></msub></math></span>, <span><math><msub is=\"true\"><mrow is=\"true\"><mi is=\"true\" mathvariant=\"normal\">Precision</mi></mrow><mrow is=\"true\"><mi is=\"true\" mathvariant=\"normal\">macro</mi></mrow></msub></math></span>, <span><math><mrow is=\"true\"><mi is=\"true\">F</mi><msub is=\"true\"><mrow is=\"true\"><mn is=\"true\">1</mn></mrow><mrow is=\"true\"><mtext is=\"true\">micro</mtext></mrow></msub></mrow></math></span> and <span><math><mrow is=\"true\"><mi is=\"true\">F</mi><msub is=\"true\"><mrow is=\"true\"><mn is=\"true\">1</mn></mrow><mrow is=\"true\"><mtext is=\"true\">macro</mtext></mrow></msub></mrow></math></span>.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"192 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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