Z. Qin, J. H. Yang, T. Gan, J. E. Zhang, Y. M. Liu, F. C. Yao, B. L. Zhao
Pomacea canaliculata is a pest species of freshwater neotropical gastropod that has colonized the coastal regions of southern China since the 1980s and has expanded its range into temperate regions of the Yangtze River Basin. The breeding and overwintering populations of P. canaliculata have increased during its gradual northward expansion over the past 40 years. There is a high likelihood that P. canaliculata can overwinter in areas conducive to breeding due to the impacts of a changing climate. Yet, the potential future changes in the range of P. canaliculata and associated climatic determinants remain unclear. This study examined the relationship between the limits of geographic distribution and key climate variables determining suitability for P. canaliculata breeding and wintering periods using the ensemble species distribution models from the R package BIOMOD2. Future climate suitability and changes were assessed under two representative concentration pathways (RCP 4.5 and RCP 8.5). The predictions indicated that P. canaliculata is most sensitive to monthly minimum temperature and that this species will extend its breeding range towards northern latitudes and will establish increased wintering locations in China. The predictions for both breeding and overwintering populations suggest a northward shift in the most suitable habitat, a reduction of highly suitable areas in the south, and an increase in suitable areas along the center and east of the Yangtze River Basin extending further northwards. Within the context of an overall expansion in P. canaliculata and climate warming, there should be a focus on the center of the Yangtze River Basin in which this species can overwinter for breeding only. Early monitoring and proactive measures to effectively prevent further spread of this species should be prioritized in this region characterized by abundant rice cultivation and fish breeding.
{"title":"Prediction of the Breeding and Wintering Ranges of Pomacea canaliculata in China Using Ensemble Models","authors":"Z. Qin, J. H. Yang, T. Gan, J. E. Zhang, Y. M. Liu, F. C. Yao, B. L. Zhao","doi":"10.3808/jei.202400521","DOIUrl":"https://doi.org/10.3808/jei.202400521","url":null,"abstract":"Pomacea canaliculata is a pest species of freshwater neotropical gastropod that has colonized the coastal regions of southern China since the 1980s and has expanded its range into temperate regions of the Yangtze River Basin. The breeding and overwintering populations of P. canaliculata have increased during its gradual northward expansion over the past 40 years. There is a high likelihood that P. canaliculata can overwinter in areas conducive to breeding due to the impacts of a changing climate. Yet, the potential future changes in the range of P. canaliculata and associated climatic determinants remain unclear. This study examined the relationship between the limits of geographic distribution and key climate variables determining suitability for P. canaliculata breeding and wintering periods using the ensemble species distribution models from the R package BIOMOD2. Future climate suitability and changes were assessed under two representative concentration pathways (RCP 4.5 and RCP 8.5). The predictions indicated that P. canaliculata is most sensitive to monthly minimum temperature and that this species will extend its breeding range towards northern latitudes and will establish increased wintering locations in China. The predictions for both breeding and overwintering populations suggest a northward shift in the most suitable habitat, a reduction of highly suitable areas in the south, and an increase in suitable areas along the center and east of the Yangtze River Basin extending further northwards. Within the context of an overall expansion in P. canaliculata and climate warming, there should be a focus on the center of the Yangtze River Basin in which this species can overwinter for breeding only. Early monitoring and proactive measures to effectively prevent further spread of this species should be prioritized in this region characterized by abundant rice cultivation and fish breeding.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"19 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141574547","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}
T. Zhou, Y. S. Lai, Z. H. Yang, Y. H. Shi, X. R. Luo, L. Liu, P. Yu, G. Chen, L. X. Cao, S. H. Fan, C. J. Cai, J. Sun, S. H. Chen, H. Y. Lu, X. L. Ma, S. D. Li, X. L. Tang
Soil carbon isotopes (δ13C) provide reliable insights for studying soil carbon turnover at a long-term scale. The Tibetan Plateau (TP), often referred as “the third pole of the earth”, is highly sensitive to global climate change, and exhibits an early warning signal of global warming. Although many studies detected soil δ13C variability at site scales, there is still a knowledge gap existing in the spatial pattern of soil δ13C across the TP. In this study, we compiled a database of 198 topsoil δ13C observations from published literatures and used a modified multi-layer perceptron (MLP) neural network algorithm to predict the spatial pattern of topsoil δ13C and β (indicating the decomposition rate of soil organic carbon (SOC), calculated as δ13C divided by logarithmically converted SOC) at 500m resolution. Results showed that MLP model effectively predicted topsoil δ13C with a model efficiency of 0.72 and a root mean square error of 1.16‰. Topsoil δ13C varied significantly across different ecosystem types (p < 0.001) with a mean δ13C of –25.89 ± 1.15‰ (mean ± standard deviation) for forests, –24.91 ± 1.03‰ for shrublands, –22.95 ± 1.44‰ for grasslands, and –18.88 ± 2.37‰ for deserts. Furthermore, there was an increasing trend of predicted δ13C from the southeastern to the northwestern TP, likely linked to vegetation type and climatic conditions. β values were low in the eastern TP and higher in the northern and northwestern TP, indicating faster SOC turnover rate in the east TP compared to the north and northwest. This study represents the first effort to develop a fine resolution product of topsoil δ13C and β across the TP, which could provide an independent, data-driven benchmark for biogeochemical cycling models to study SOC turnover and terrestrial carbon-climate feedback over the TP under climate change.
{"title":"Modelling Soil δ13C across the Tibetan Plateau Using Deep-Learning","authors":"T. Zhou, Y. S. Lai, Z. H. Yang, Y. H. Shi, X. R. Luo, L. Liu, P. Yu, G. Chen, L. X. Cao, S. H. Fan, C. J. Cai, J. Sun, S. H. Chen, H. Y. Lu, X. L. Ma, S. D. Li, X. L. Tang","doi":"10.3808/jei.202400519","DOIUrl":"https://doi.org/10.3808/jei.202400519","url":null,"abstract":"Soil carbon isotopes (δ13C) provide reliable insights for studying soil carbon turnover at a long-term scale. The Tibetan Plateau (TP), often referred as “the third pole of the earth”, is highly sensitive to global climate change, and exhibits an early warning signal of global warming. Although many studies detected soil δ13C variability at site scales, there is still a knowledge gap existing in the spatial pattern of soil δ13C across the TP. In this study, we compiled a database of 198 topsoil δ13C observations from published literatures and used a modified multi-layer perceptron (MLP) neural network algorithm to predict the spatial pattern of topsoil δ13C and β (indicating the decomposition rate of soil organic carbon (SOC), calculated as δ13C divided by logarithmically converted SOC) at 500m resolution. Results showed that MLP model effectively predicted topsoil δ13C with a model efficiency of 0.72 and a root mean square error of 1.16‰. Topsoil δ13C varied significantly across different ecosystem types (p < 0.001) with a mean δ13C of –25.89 ± 1.15‰ (mean ± standard deviation) for forests, –24.91 ± 1.03‰ for shrublands, –22.95 ± 1.44‰ for grasslands, and –18.88 ± 2.37‰ for deserts. Furthermore, there was an increasing trend of predicted δ13C from the southeastern to the northwestern TP, likely linked to vegetation type and climatic conditions. β values were low in the eastern TP and higher in the northern and northwestern TP, indicating faster SOC turnover rate in the east TP compared to the north and northwest. This study represents the first effort to develop a fine resolution product of topsoil δ13C and β across the TP, which could provide an independent, data-driven benchmark for biogeochemical cycling models to study SOC turnover and terrestrial carbon-climate feedback over the TP under climate change.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"46 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141574545","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}
H. Ali, M. A. Khan, A. A. Shaikh, A. F. Alrasheedi
Under the heading of sustainability challenges, this study incorporates payment procedures and inventory selections. The article’s goal is to acquire insight into how the methods of payment affect perishable product inventory selections under the widely utilised carbon tax regime in view of policies to reduce emissions. Uncertainty arises as a natural consequence of the unpredictable behaviour of customers. Keeping these impacts in mind, an interval-valued inventory model is introduced, where all the related inventory parameters are considered interval-valued. In addition, the vendor offers an interval-valued discount rate to customers against advance payment. Due to the inventory parameters being chosen as interval-valued, the objective function is changed into an interval-valued form, and the corresponding differential equation is changed into an interval differential equation. To solve the interval-valued differential equation, a parametric approach to interval is introduced, and the corresponding interval-valued objective function is constructed. Interval order relations and the MATHEMATICA software are used to solve the objective function with interval values. To assess the validity of the proposed model, one numerical example is solved, and a sensitivity analysis of the ideal course of action is performed.
{"title":"Impact of Carbon Emissions and Advance Payment on Optimal Decisions for Perishable Products via Parametric Approach of Interval","authors":"H. Ali, M. A. Khan, A. A. Shaikh, A. F. Alrasheedi","doi":"10.3808/jei.202400520","DOIUrl":"https://doi.org/10.3808/jei.202400520","url":null,"abstract":"Under the heading of sustainability challenges, this study incorporates payment procedures and inventory selections. The article’s goal is to acquire insight into how the methods of payment affect perishable product inventory selections under the widely utilised carbon tax regime in view of policies to reduce emissions. Uncertainty arises as a natural consequence of the unpredictable behaviour of customers. Keeping these impacts in mind, an interval-valued inventory model is introduced, where all the related inventory parameters are considered interval-valued. In addition, the vendor offers an interval-valued discount rate to customers against advance payment. Due to the inventory parameters being chosen as interval-valued, the objective function is changed into an interval-valued form, and the corresponding differential equation is changed into an interval differential equation. To solve the interval-valued differential equation, a parametric approach to interval is introduced, and the corresponding interval-valued objective function is constructed. Interval order relations and the MATHEMATICA software are used to solve the objective function with interval values. To assess the validity of the proposed model, one numerical example is solved, and a sensitivity analysis of the ideal course of action is performed.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"29 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141574546","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}
Lake Diefenbaker Irrigation Canals in Canada are crucial in providing water for irrigation, preventing droughts and floods, and supporting the Saskatchewan agriculture industry and economy. Unfortunately, filamentous algal blooms occur every summer in Lake Diefenbaker Irrigation Canals. These algae are not toxic but a nuisance. They block farmers’ pumps and reduce irrigation water flow rates. Currently, the Water Security Agency periodically adds the algaecide Magnacide H. to control the algal blooms, which is costly (i.e., one million dollars per year for the Lake Diefenbaker M1 Irrigation Canal only) and requires effort to dewater the canal to protect fish. Therefore, algae removal before the canal water enters farmer’s pumps might be a cost-effective alternative, especially the removal of microalgae during the initial stages of growth in June of each year. This paper has summarized and evaluated algae removal technologies, considering their advantages, disadvantages, and potential solutions for addressing the challenges and limitations associated with these technologies. Five algae removal technologies were identified as promising, which are suspended air flotation (SAF), dissolved air flotation (DAF), hydrodynamic cavitation, spiral blade centrifuge, and coagulation. Among them, SAF seems the most suitable option, while DAF and hydrodynamic cavitation offer eco-friendly advantages. Further research and pilot testing are needed to determine the costeffective and feasible algae removal technology for Lake Diefenbaker Irrigation Canals.
加拿大的迪芬贝克湖灌溉渠对于提供灌溉用水、防止干旱和洪水以及支持萨斯喀彻温省的农业和经济至关重要。不幸的是，迪芬贝克湖灌溉渠每年夏天都会出现丝状藻类大量繁殖的现象。这些藻类没有毒性，但会造成滋扰。它们会阻塞农民的水泵，降低灌溉水流量。目前，水安全局定期添加灭藻剂 Magnacide H 来控制藻华，但这种方法成本高昂（例如，仅迪芬贝克湖 M1 灌溉运河每年就需要 100 万美元），而且需要努力疏通运河以保护鱼类。因此，在运河水进入农民水泵之前清除藻类可能是一种具有成本效益的替代方法，尤其是在每年 6 月藻类生长初期清除微藻。本文对除藻技术进行了总结和评估，考虑了这些技术的优缺点以及应对挑战和局限性的潜在解决方案。确定了五种有前景的除藻技术，分别是悬浮气浮（SAF）、溶气气浮（DAF）、水动力空化、螺旋叶片离心机和混凝法。其中，悬浮气浮似乎是最合适的选择，而溶气气浮和水动力气蚀则具有生态友好的优势。要确定迪芬贝克湖灌渠成本效益高且可行的除藻技术，还需要进一步的研究和试点测试。
{"title":"Decentralized Algae Removal Technologies for Lake Diefenbaker Irrigation Canals: A Review","authors":"S. H. Safaei, S. Young","doi":"10.3808/jei.202400516","DOIUrl":"https://doi.org/10.3808/jei.202400516","url":null,"abstract":"Lake Diefenbaker Irrigation Canals in Canada are crucial in providing water for irrigation, preventing droughts and floods, and supporting the Saskatchewan agriculture industry and economy. Unfortunately, filamentous algal blooms occur every summer in Lake Diefenbaker Irrigation Canals. These algae are not toxic but a nuisance. They block farmers’ pumps and reduce irrigation water flow rates. Currently, the Water Security Agency periodically adds the algaecide Magnacide H. to control the algal blooms, which is costly (i.e., one million dollars per year for the Lake Diefenbaker M1 Irrigation Canal only) and requires effort to dewater the canal to protect fish. Therefore, algae removal before the canal water enters farmer’s pumps might be a cost-effective alternative, especially the removal of microalgae during the initial stages of growth in June of each year. This paper has summarized and evaluated algae removal technologies, considering their advantages, disadvantages, and potential solutions for addressing the challenges and limitations associated with these technologies. Five algae removal technologies were identified as promising, which are suspended air flotation (SAF), dissolved air flotation (DAF), hydrodynamic cavitation, spiral blade centrifuge, and coagulation. Among them, SAF seems the most suitable option, while DAF and hydrodynamic cavitation offer eco-friendly advantages. Further research and pilot testing are needed to determine the costeffective and feasible algae removal technology for Lake Diefenbaker Irrigation Canals.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"10 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141574482","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}
Q. C. Liu, F. X. Gao, J. Y. Zhao, Y. F. Cai, L. Chen, C. Lv
Emissions from transportation are one of the key factors preventing the achievement of carbon peaking and carbon neutrality by 2050, with particular attention to emissions from buses. Specifically, few research has been conducted on the exhaust emissions characteristics of liquified natural gas (LNG) buses under different driving scenarios. This study proposed a framework for predicting exhaust emissions of LNG buses based on the portable emission measurement system and GPS collaborative perception data. Firstly, the emission distribution characteristics of CO2, CO, HC, and NOx from LNG buses in real-world driving were analyzed by visualization methods. Then, the real-time exhaust emissions of LNG buses were predicted based on the temporal fusion transformers model for both urban and suburban sections of Zhenjiang City, and the model validity was verified. The current and past 10 s driving states were used for predicting the emission rate of LNG buses. The results showed that the proposed model outperforms other advanced algorithms in real-time exhaust emissions prediction of LNG buses, with an average R2 value higher than 0.94 and an average MAPE reduction of 14.19%. The error assessment revealed that the emission values and average emission rates are higher when driving in the urban section compared to the suburban section. Among the influencing factors, traffic conditions have the most significant impacts on the exhaust emissions of LNG buses, followed by road conditions and driving states, with relative feature importance of 48.9, 34.8, and 16.3%, respectively. Additionally, the current and past 10 s driving states also significantly influenced real-time predictions. This study provides an essential theoretical reference for reducing exhaust emissions for city buses.
{"title":"Real-Time LNG Buses Emissions Prediction Based on a Temporal Fusion Trans-Formers Model","authors":"Q. C. Liu, F. X. Gao, J. Y. Zhao, Y. F. Cai, L. Chen, C. Lv","doi":"10.3808/jei.202400517","DOIUrl":"https://doi.org/10.3808/jei.202400517","url":null,"abstract":"Emissions from transportation are one of the key factors preventing the achievement of carbon peaking and carbon neutrality by 2050, with particular attention to emissions from buses. Specifically, few research has been conducted on the exhaust emissions characteristics of liquified natural gas (LNG) buses under different driving scenarios. This study proposed a framework for predicting exhaust emissions of LNG buses based on the portable emission measurement system and GPS collaborative perception data. Firstly, the emission distribution characteristics of CO<sub>2</sub>, CO, HC, and NO<sub>x</sub> from LNG buses in real-world driving were analyzed by visualization methods. Then, the real-time exhaust emissions of LNG buses were predicted based on the temporal fusion transformers model for both urban and suburban sections of Zhenjiang City, and the model validity was verified. The current and past 10 s driving states were used for predicting the emission rate of LNG buses. The results showed that the proposed model outperforms other advanced algorithms in real-time exhaust emissions prediction of LNG buses, with an average R<sup>2</sup> value higher than 0.94 and an average MAPE reduction of 14.19%. The error assessment revealed that the emission values and average emission rates are higher when driving in the urban section compared to the suburban section. Among the influencing factors, traffic conditions have the most significant impacts on the exhaust emissions of LNG buses, followed by road conditions and driving states, with relative feature importance of 48.9, 34.8, and 16.3%, respectively. Additionally, the current and past 10 s driving states also significantly influenced real-time predictions. This study provides an essential theoretical reference for reducing exhaust emissions for city buses.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"28 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141574483","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}
P. Noorbeh, R. Stepanian, M. Noorbeh, M. Movahedinia, S. M. Hashemy Shahdany
A wide range of endeavors has been made to propose various approaches to reduce Greenhouse gas emissions in the agricultural sector. The present study investigates the impacts of Surface Water Distribution Systems (SWDS) modernization in reducing groundwater overexploitation, energy consumption, and carbon emission in the agriculture sector. Four modernization alternatives, including an improved manual-based system (A1, A2), off-line, and real-time automatic control systems (A3, A4), are developed and tested on a real test case in Central Iran, which is confronted with severe water shortages. The results reveal that SWDS’s operating system modernization improves 4 ~ 21% surface water distribution through the alternatives A1 ~ A4. This surface water distribution enhancement led to groundwater over-extraction reduction. Spatial analysis reveals that 0.075, 0.100, 0.281, and 0.470 of the irrigation district’s cultivated area was thoroughly fulfilled by the delivered surface water and no need for groundwater extraction due to alternatives A1 ~ A4, respectively. Closure of several active tubewells up to 1,668 semi-deep and 497 deep tube-well were verified. SWDS’ modernization led to 5, 7, 20, and 30% of energy consumption and consequently 1,864.90, 2,714.33, 8,427.19, and 12,674.32 tC ha-1 carbon emission reduction in alternatives A1 ~ A4, respectively. This study’s results show that modernization of off-farm operating systems - responsible for surface water conveyance and distribution from a dam reservoir to farms - resulted in significant environmental benefits through improving the reliability of systems supplied by surface water and reducing the tendency of the farmers to groundwater resources.
{"title":"Reducing Carbon Emission, Groundwater Over-Exploitation and Energy Consumption on Agricultural Lands by Off-Farm Water Management Practices: Modernization of Surface Water Distribution Systems","authors":"P. Noorbeh, R. Stepanian, M. Noorbeh, M. Movahedinia, S. M. Hashemy Shahdany","doi":"10.3808/jei.202400518","DOIUrl":"https://doi.org/10.3808/jei.202400518","url":null,"abstract":"A wide range of endeavors has been made to propose various approaches to reduce Greenhouse gas emissions in the agricultural sector. The present study investigates the impacts of Surface Water Distribution Systems (SWDS) modernization in reducing groundwater overexploitation, energy consumption, and carbon emission in the agriculture sector. Four modernization alternatives, including an improved manual-based system (A1, A2), off-line, and real-time automatic control systems (A3, A4), are developed and tested on a real test case in Central Iran, which is confronted with severe water shortages. The results reveal that SWDS’s operating system modernization improves 4 ~ 21% surface water distribution through the alternatives A1 ~ A4. This surface water distribution enhancement led to groundwater over-extraction reduction. Spatial analysis reveals that 0.075, 0.100, 0.281, and 0.470 of the irrigation district’s cultivated area was thoroughly fulfilled by the delivered surface water and no need for groundwater extraction due to alternatives A1 ~ A4, respectively. Closure of several active tubewells up to 1,668 semi-deep and 497 deep tube-well were verified. SWDS’ modernization led to 5, 7, 20, and 30% of energy consumption and consequently 1,864.90, 2,714.33, 8,427.19, and 12,674.32 tC ha-1 carbon emission reduction in alternatives A1 ~ A4, respectively. This study’s results show that modernization of off-farm operating systems - responsible for surface water conveyance and distribution from a dam reservoir to farms - resulted in significant environmental benefits through improving the reliability of systems supplied by surface water and reducing the tendency of the farmers to groundwater resources.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"10 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141574484","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}
As social media can play an important role in creating awareness of the need to mitigate climate change and of the benefits of renewable energy (RE), we examined the influences of social media on attitudes to renewable energy, including intention to use it. This study is novel in two ways: it simultaneously considers message characteristics and message-receiver perceptions as factors influencing the acceptance of renewable energy; and it is also the first study to use an extended information adoption model to evaluate the impact of Instagram on information adoption and the intention to use renewable energy sources. Our questionnaire, based on the theory of information adoption, included items on attitude toward information and trust in Instagram, and was randomly distributed online among followers of renewable energy pages on Instagram. A total of 173 people completed the questionnaire. Structural equation modeling showed that quality of argument had a positive and direct effect on the perceived usefulness of information. Source credibility as a peripheral path also indirectly increased perceived usefulness by changing attitude toward information. Moreover, perceived usefulness had a direct impact on information adoption and increased information adoption through trust of the materials.
{"title":"How Do Instagram Messages Affect the Use of Renewable Energy? -- Application of an Extended Information Adoption Model","authors":"N. Komendantova, T. Zobeidi, M. Yazdanpanah","doi":"10.3808/jei.202400515","DOIUrl":"https://doi.org/10.3808/jei.202400515","url":null,"abstract":"As social media can play an important role in creating awareness of the need to mitigate climate change and of the benefits of renewable energy (RE), we examined the influences of social media on attitudes to renewable energy, including intention to use it. This study is novel in two ways: it simultaneously considers message characteristics and message-receiver perceptions as factors influencing the acceptance of renewable energy; and it is also the first study to use an extended information adoption model to evaluate the impact of Instagram on information adoption and the intention to use renewable energy sources. Our questionnaire, based on the theory of information adoption, included items on attitude toward information and trust in Instagram, and was randomly distributed online among followers of renewable energy pages on Instagram. A total of 173 people completed the questionnaire. Structural equation modeling showed that quality of argument had a positive and direct effect on the perceived usefulness of information. Source credibility as a peripheral path also indirectly increased perceived usefulness by changing attitude toward information. Moreover, perceived usefulness had a direct impact on information adoption and increased information adoption through trust of the materials.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"99 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140629612","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}
L. Zhi, X. Xie, W. Gao, X. Li, J. Bai, D. Wang, D. Shao, B. Cui
River deltas contain some of the most densely populated areas in the world and are characterized by a rich biodiversity and highly productive ecosystems. Although previous studies have revealed that sediment grain size plays a key role in determining delta morphology, its subsequent effects on deltaic vegetation distribution patterns remain elusive. We used a theoretical templet to facilitate our study by conducting numerical experiments to simulate deltaic morphological evolution in response to various sediment grain sizes and explored the vegetation distribution determined by the elevation profile of a typical river-dominated delta. Our results showed that a fine-grained, cohesive delta would develop vegetation patterns transitioning from high- to low-elevation adapted vegetation species with increasing distance, whereas the same vegetation transformation trend could occur with decreasing distance to the center of a large-grained, noncohesive delta. The modeled vegetation distribution pattern of fine-grained, cohesive and large-grained, noncohesive deltas could be well demonstrated in the natural deltas. In addition, vegetation distribution patterns are related to the grain size-driven morphological processes of deltas, and the leading role of cohesive and noncohesive sediments on constructed delta is critical in determining the resulting vegetation distribution pattern. The dominance of each vegetation type would gradually become stable as delta matures. The interspecies competitions could influence distribution patterns of each vegetation type by enhancing the fragmentation of mid-elevation adapted vegetation. The effects of sediment grain size on the deltaic vegetation patterns associated with a delta’s morphological processes have potential implications for the conservation and restoration of deltaic habitats.
{"title":"Sediment Grain Size Affects Vegetation Patterns in River-Dominated Deltas","authors":"L. Zhi, X. Xie, W. Gao, X. Li, J. Bai, D. Wang, D. Shao, B. Cui","doi":"10.3808/jei.202400514","DOIUrl":"https://doi.org/10.3808/jei.202400514","url":null,"abstract":"River deltas contain some of the most densely populated areas in the world and are characterized by a rich biodiversity and highly productive ecosystems. Although previous studies have revealed that sediment grain size plays a key role in determining delta morphology, its subsequent effects on deltaic vegetation distribution patterns remain elusive. We used a theoretical templet to facilitate our study by conducting numerical experiments to simulate deltaic morphological evolution in response to various sediment grain sizes and explored the vegetation distribution determined by the elevation profile of a typical river-dominated delta. Our results showed that a fine-grained, cohesive delta would develop vegetation patterns transitioning from high- to low-elevation adapted vegetation species with increasing distance, whereas the same vegetation transformation trend could occur with decreasing distance to the center of a large-grained, noncohesive delta. The modeled vegetation distribution pattern of fine-grained, cohesive and large-grained, noncohesive deltas could be well demonstrated in the natural deltas. In addition, vegetation distribution patterns are related to the grain size-driven morphological processes of deltas, and the leading role of cohesive and noncohesive sediments on constructed delta is critical in determining the resulting vegetation distribution pattern. The dominance of each vegetation type would gradually become stable as delta matures. The interspecies competitions could influence distribution patterns of each vegetation type by enhancing the fragmentation of mid-elevation adapted vegetation. The effects of sediment grain size on the deltaic vegetation patterns associated with a delta’s morphological processes have potential implications for the conservation and restoration of deltaic habitats.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"8 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140625538","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}
C. G. Xiang, W. Huang, Z. W. Wang, H. D. Zhou, L. Q. Xue, J. Wang, W. J. Wang
Evaluating the eutrophication risk in reservoir areas is very important for environmental protection. However, the periodic backflow of water in reservoir areas makes evaluating the eutrophication of tributaries in reservoir areas more difficult. In this study, based on the basic principle of the copula function, combined with the water environment simulation results of the Pengxi River, a tributary of the Three Gorges Reservoir, a new perspective for considering the interaction between water environment variables was proposed to evaluate the joint eutrophication risk probability. The results showed that the fluidity of the whole Pengxi River was poor, which was conducive to the deposition and enrichment of pollutants. The total nitrogen (TN) in Hanfeng Lake and the main stream of the Pengxi River was always above the level of moderate eutrophication, while total phosphorus (TP) varied over a large range, from mesotrophic to hyper-eutrophic. In 2021, the joint risk probability of TP and TN was the highest, at 45%, when they were both hyper-eutrophic in Hanfeng Lake. When TP was slightly eutrophic and TN was moderately eutrophic, the joint risk probability was the highest in Pengxi River, at 42%. The relatively clean water of the Yangtze River flowing back into the Pengxi River reduces its eutrophication risk. The results of this study provide a scientific basis for the prevention and control of water eutrophication in the Three Gorges Reservoir.
{"title":"Eutrophication Risk Assessment of Tributaries in the Three Gorges Reservoir: A Case Study of the Pengxi River","authors":"C. G. Xiang, W. Huang, Z. W. Wang, H. D. Zhou, L. Q. Xue, J. Wang, W. J. Wang","doi":"10.3808/jei.202400512","DOIUrl":"https://doi.org/10.3808/jei.202400512","url":null,"abstract":"Evaluating the eutrophication risk in reservoir areas is very important for environmental protection. However, the periodic backflow of water in reservoir areas makes evaluating the eutrophication of tributaries in reservoir areas more difficult. In this study, based on the basic principle of the copula function, combined with the water environment simulation results of the Pengxi River, a tributary of the Three Gorges Reservoir, a new perspective for considering the interaction between water environment variables was proposed to evaluate the joint eutrophication risk probability. The results showed that the fluidity of the whole Pengxi River was poor, which was conducive to the deposition and enrichment of pollutants. The total nitrogen (TN) in Hanfeng Lake and the main stream of the Pengxi River was always above the level of moderate eutrophication, while total phosphorus (TP) varied over a large range, from mesotrophic to hyper-eutrophic. In 2021, the joint risk probability of TP and TN was the highest, at 45%, when they were both hyper-eutrophic in Hanfeng Lake. When TP was slightly eutrophic and TN was moderately eutrophic, the joint risk probability was the highest in Pengxi River, at 42%. The relatively clean water of the Yangtze River flowing back into the Pengxi River reduces its eutrophication risk. The results of this study provide a scientific basis for the prevention and control of water eutrophication in the Three Gorges Reservoir.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"71 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140629613","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}
I. Milenkovic, Y. Q. Zhou, M. Borišev, L. F. Serafim, J. Y. Chen, A. E. ElMetwally, S. Z. Spasić, M. Algarra, M.V. M. Yuso, R. Prabhakar, R. M. Leblanc, K. Radotić
Crop yield increases with a sustained increase in leaf photosynthesis. Due to many limitations, plants do not sufficiently use their photosynthetic capacity. Carbon dots (CDs) have a high light harvest capability, which may be used to improve the photosynthesis efficiency of plants. In this study, nontoxic orange CDs (o-CDs) were foliarly applied to boost the maize (Zea mays L.) and green beans (Phaseolus vulgaris L.) productivity in the field. Leaves of both plant species were sprayed three times with 1 and 5 mg/L of the o-CDs aqueous solutions in equal intervals during the vegetative growth stage until flowering. To find the best geometries for CO2 adsorption on o-CD, modeling of o-CDs-CO2 interaction was performed. Photosynthesis parameters and fruit yield were measured during plant growth. Total phenolic content and antioxidative activity were monitored as oxidative stress indicators. Computational simulations and spectroscopic measurements suggest that o-CDs, acting as a “CO2 delivery” system, can enhance photosynthetic efficiency. Photosynthesis was enhanced in both plant species, but only green beans showed an increased fruit yield. CO2 use in tested species was discussed in light of two mechanisms. Plant species show different, but no significant antioxidative responses. The chemical surface composition has shown that o-CDs were not contained in either the leaves or fruits of the treated plants. The results indicate that o-CDs may be applied as a simple and safe biostimulator on plants. That could have an environmental benefit in capturing CO2 in the atmosphere
{"title":"Modeling of Orange Carbon Dots-CO2 Interaction and Its Effects on Photosynthesis and Productivity in Maize and Green Beans","authors":"I. Milenkovic, Y. Q. Zhou, M. Borišev, L. F. Serafim, J. Y. Chen, A. E. ElMetwally, S. Z. Spasić, M. Algarra, M.V. M. Yuso, R. Prabhakar, R. M. Leblanc, K. Radotić","doi":"10.3808/jei.202400511","DOIUrl":"https://doi.org/10.3808/jei.202400511","url":null,"abstract":"Crop yield increases with a sustained increase in leaf photosynthesis. Due to many limitations, plants do not sufficiently use their photosynthetic capacity. Carbon dots (CDs) have a high light harvest capability, which may be used to improve the photosynthesis efficiency of plants. In this study, nontoxic orange CDs (o-CDs) were foliarly applied to boost the maize (Zea mays L.) and green beans (Phaseolus vulgaris L.) productivity in the field. Leaves of both plant species were sprayed three times with 1 and 5 mg/L of the o-CDs aqueous solutions in equal intervals during the vegetative growth stage until flowering. To find the best geometries for CO2 adsorption on o-CD, modeling of o-CDs-CO2 interaction was performed. Photosynthesis parameters and fruit yield were measured during plant growth. Total phenolic content and antioxidative activity were monitored as oxidative stress indicators. Computational simulations and spectroscopic measurements suggest that o-CDs, acting as a “CO2 delivery” system, can enhance photosynthetic efficiency. Photosynthesis was enhanced in both plant species, but only green beans showed an increased fruit yield. CO2 use in tested species was discussed in light of two mechanisms. Plant species show different, but no significant antioxidative responses. The chemical surface composition has shown that o-CDs were not contained in either the leaves or fruits of the treated plants. The results indicate that o-CDs may be applied as a simple and safe biostimulator on plants. That could have an environmental benefit in capturing CO2 in the atmosphere\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"9 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140625539","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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