Pub Date : 2024-07-11DOI: 10.1088/2515-7620/ad6239
Achraf Qor-el-aine, A. Béres, Gábor Géczi
Air pollution is a major environmental problem, and reliable monitoring of particulate matter (PM) concentrations is critical for assessing its impact on human health and the environment. The Copernicus Atmosphere Monitoring Service (CAMS) offers vital data on PM2.5 concentrations by applying a worldwide modelling system. This study compares in-situ PM2.5 measurements and raw CAMS data at 0.1°x 0.1° resolutions for 2019 and 2020 in Hungary. It proposes a calibration method to improve the accuracy of CAMS PM2.5 data at the scale of air monitoring stations. In the study, the accuracy of the raw CAMS PM2.5 data is assessed based on the chosen air quality stations. Then, to improve the precision, we employed machine learning algorithms (LightGBM, Random Forest (RF), and Multiple Linear Regression (MLR)) for calibration. Initial assessment of the raw CAMS PM2.5 data showed positive hourly Spearman correlation coefficient values (SR between 0.64 and 0.87 for the 14 air quality stations used), indicating a positive relationship between the datasets but a systemic underestimation. Our findings highlight LightGBM as the most effective method, consistently demonstrating elevated correlation SR and R² values reaching up to 0.95 and 0.93, respectively, and very good RSR and NSE values (lower than 0.5 and higher than 0.75 for RSR and NSE, respectively). In contrast, RF yields mixed results, and MLR exhibits variable performance. By correcting underestimation and lowering modelling biases, the calibrated PM2.5 data better matches ground-based observations, which can be promising for using the obtained model for accurate predictions at individual air monitoring stations.
{"title":"Calibration of CAMS PM2.5 data over Hungary: A machine learning approach","authors":"Achraf Qor-el-aine, A. Béres, Gábor Géczi","doi":"10.1088/2515-7620/ad6239","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6239","url":null,"abstract":"\u0000 Air pollution is a major environmental problem, and reliable monitoring of particulate matter (PM) concentrations is critical for assessing its impact on human health and the environment. The Copernicus Atmosphere Monitoring Service (CAMS) offers vital data on PM2.5 concentrations by applying a worldwide modelling system. This study compares in-situ PM2.5 measurements and raw CAMS data at 0.1°x 0.1° resolutions for 2019 and 2020 in Hungary. It proposes a calibration method to improve the accuracy of CAMS PM2.5 data at the scale of air monitoring stations. In the study, the accuracy of the raw CAMS PM2.5 data is assessed based on the chosen air quality stations. Then, to improve the precision, we employed machine learning algorithms (LightGBM, Random Forest (RF), and Multiple Linear Regression (MLR)) for calibration. Initial assessment of the raw CAMS PM2.5 data showed positive hourly Spearman correlation coefficient values (SR between 0.64 and 0.87 for the 14 air quality stations used), indicating a positive relationship between the datasets but a systemic underestimation. Our findings highlight LightGBM as the most effective method, consistently demonstrating elevated correlation SR and R² values reaching up to 0.95 and 0.93, respectively, and very good RSR and NSE values (lower than 0.5 and higher than 0.75 for RSR and NSE, respectively). In contrast, RF yields mixed results, and MLR exhibits variable performance. By correcting underestimation and lowering modelling biases, the calibrated PM2.5 data better matches ground-based observations, which can be promising for using the obtained model for accurate predictions at individual air monitoring stations.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141658089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2024-07-10DOI: 10.1088/2515-7620/ad61c4
liwen shen, Wenchu Qian, Yongliang Yang
Corporate environmental information disclosure (EID) has been a widely acknowledged issue in the field of ecological environment research. This paper explores the spatiotemporal evolution characteristics of EID in China from 2008 to 2022, and discusses the industry and regional heterogeneity. It reveals significant differences in EID between heavy and non-heavy polluting industries, as well as among different economic regions, revealing that there is still significant potential for improvement in corporate environmental governance. Further, this paper establishes a two-way fixed effects model and empirically investigates the effects of internal and external driving factors on EID. In addition, Lasso regression model is used to screen the vital driving factors and analyze their relative importance. The empirical results show that enterprise size, management age, operating capacity, supervisory board size, and debt capacity have relatively more substantial explanations for changes in EID, which are more critical driving factors. The contribution of the study is to provide valuable reference for constructing corporate EID indicator system, and to points out the direction for the sustainable development of enterprises in different industries and regions. At the same time, it has theoretical guiding significance for finding the factors that promote EID and strengthening regional environmental governance.
{"title":"The divergence and driving factors of corporate environmental information disclosure in China","authors":"liwen shen, Wenchu Qian, Yongliang Yang","doi":"10.1088/2515-7620/ad61c4","DOIUrl":"https://doi.org/10.1088/2515-7620/ad61c4","url":null,"abstract":"\u0000 Corporate environmental information disclosure (EID) has been a widely acknowledged issue in the field of ecological environment research. This paper explores the spatiotemporal evolution characteristics of EID in China from 2008 to 2022, and discusses the industry and regional heterogeneity. It reveals significant differences in EID between heavy and non-heavy polluting industries, as well as among different economic regions, revealing that there is still significant potential for improvement in corporate environmental governance. Further, this paper establishes a two-way fixed effects model and empirically investigates the effects of internal and external driving factors on EID. In addition, Lasso regression model is used to screen the vital driving factors and analyze their relative importance. The empirical results show that enterprise size, management age, operating capacity, supervisory board size, and debt capacity have relatively more substantial explanations for changes in EID, which are more critical driving factors. The contribution of the study is to provide valuable reference for constructing corporate EID indicator system, and to points out the direction for the sustainable development of enterprises in different industries and regions. At the same time, it has theoretical guiding significance for finding the factors that promote EID and strengthening regional environmental governance.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Formulating effective policies to address or mitigate deforestation requires a comprehensive understanding of the contributing factors. This study examines the drivers of deforestation from 2001 to 2020 in the Tangier-Tetouan-Al Hoceima (TTA) region, a northern Moroccan area distinguished by the country’s highest deforestation rate. Through an extensive review of existing literature and employing Geist and Lambin’s deforestation framework, we identified five key causes: infrastructure extension, agricultural expansion, logging, wildfires as direct causes, and demographic factors as an indirect cause. Data on deforestation and its contributing factors were sourced from diverse databases, including Global Forest Change (GFC), Global Land Analysis and Discovery (GLAD), Burned Area Product (MODIS Fire_CCI51), World Population, Forest Proximate People (FPP), and National Forest Inventory (NFI) datasets. Pixel-level analysis of GFC data indicated that wildfires are the primary driver of deforestation in the region, accounting for 35.2%, followed by agricultural expansion (30.6%), logging (13.2%), and infrastructure extension (10.1%). The remaining 10.9% of losses were attributed to other disturbances, such as illegal extraction, pests, and dieback. Spatial patterns were further analyzed through Exploratory Spatial Data Analysis (ESDA) methods at a 1 km2 gridded scale, revealing strong clustering for all studied factors. Spatial relationships were explored using the bivariate local Moran’s index, which highlighted the highest spatial dependence between deforestation and fires (I = 0.21). Correlations between deforestation and other factors, including agricultural expansion, logging, infrastructure extension, and demographic pressure, were assessed at 0.18, 0.17, 0.08, and 0.05, respectively. Landscape pressures (LSP), encompassing deforestation, agricultural expansion, fires, infrastructure extension, and demographic pressure, were analyzed using the local Geary index, revealing a positive correlation in approximately 59% of spatial units. Last, a composite map of LSP clusters and an explanatory diagram illustrating dominant patterns in the TTA region were generated based on the results from local Geary’s multivariate and local Moran’s univariate tests.
{"title":"Deforestation drivers in northern Morocco: an exploratory spatial data analysis","authors":"Hamid Boubekraoui, Yazid Maouni, Abdelilah Ghallab, Mohamed Draoui and Abdelfettah Maouni","doi":"10.1088/2515-7620/ad5ad6","DOIUrl":"https://doi.org/10.1088/2515-7620/ad5ad6","url":null,"abstract":"Formulating effective policies to address or mitigate deforestation requires a comprehensive understanding of the contributing factors. This study examines the drivers of deforestation from 2001 to 2020 in the Tangier-Tetouan-Al Hoceima (TTA) region, a northern Moroccan area distinguished by the country’s highest deforestation rate. Through an extensive review of existing literature and employing Geist and Lambin’s deforestation framework, we identified five key causes: infrastructure extension, agricultural expansion, logging, wildfires as direct causes, and demographic factors as an indirect cause. Data on deforestation and its contributing factors were sourced from diverse databases, including Global Forest Change (GFC), Global Land Analysis and Discovery (GLAD), Burned Area Product (MODIS Fire_CCI51), World Population, Forest Proximate People (FPP), and National Forest Inventory (NFI) datasets. Pixel-level analysis of GFC data indicated that wildfires are the primary driver of deforestation in the region, accounting for 35.2%, followed by agricultural expansion (30.6%), logging (13.2%), and infrastructure extension (10.1%). The remaining 10.9% of losses were attributed to other disturbances, such as illegal extraction, pests, and dieback. Spatial patterns were further analyzed through Exploratory Spatial Data Analysis (ESDA) methods at a 1 km2 gridded scale, revealing strong clustering for all studied factors. Spatial relationships were explored using the bivariate local Moran’s index, which highlighted the highest spatial dependence between deforestation and fires (I = 0.21). Correlations between deforestation and other factors, including agricultural expansion, logging, infrastructure extension, and demographic pressure, were assessed at 0.18, 0.17, 0.08, and 0.05, respectively. Landscape pressures (LSP), encompassing deforestation, agricultural expansion, fires, infrastructure extension, and demographic pressure, were analyzed using the local Geary index, revealing a positive correlation in approximately 59% of spatial units. Last, a composite map of LSP clusters and an explanatory diagram illustrating dominant patterns in the TTA region were generated based on the results from local Geary’s multivariate and local Moran’s univariate tests.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141613946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2024-07-10DOI: 10.1088/2515-7620/ad61c5
Haseena M, S. Arumugam, Suresh Gopal, Saleh H. Salmen, Hossam M Aljawdah, Murugan A. Munusamy
This study aimed to assess the diversity of endophytic fungi isolated from Abutilon indicum using morphological and molecular techniques. The isolates were exposed to various levels of salinity, temperatures, and heavy metals, including Ag2+ and Zn2+, at concentrations of 3.6 and 11.5 mM. Thirty root segments were isolated from each plant and cultured on potato dextrose agar plates. Four endophytic fungi were randomly isolated from infected root segments, belonging to the genera Aspergillus, Meyerozyma, and Penicillium. The phylogenetic analysis revealed significant diversity among the isolates of Aspergillus welwitschiae, Aspergillus indologenus, Meyerozyma carpophila, and Penicillium citrinum, with a 99% similarity in their sequences. Most isolates were able to thrive under salt stress conditions at NaCl concentrations of 200 mM (26%), 400 mM (24%), 600 mM (21%), 800 mM (13%), and 1000 mM (16%). Tolerant to temperature, endophytes could survive in the range of 25°C to 35°C but could not survive above 50°C. Heavy metals tolerance of 89% of these isolates led to a significant decrease in biomass production when exposed to Ag2+. Endophytic fungal isolates showed decreased sensitivity to Zn2+, but between 33% and 60% showed strong growth in conditions with high levels of Zn2+. These findings revealed that endophytic fungi of A. welwitschiae enhanced growth when exposed to various stress conditions. Our findings indicate that the presence of fungal endophytes in different stress conditions leads to significant growth, and this could be useful for phytoremediation purposes.
{"title":"Stress tolerance activity and Diversification of Endophytic fungi from the medicinal plant Abutilon indicum","authors":"Haseena M, S. Arumugam, Suresh Gopal, Saleh H. Salmen, Hossam M Aljawdah, Murugan A. Munusamy","doi":"10.1088/2515-7620/ad61c5","DOIUrl":"https://doi.org/10.1088/2515-7620/ad61c5","url":null,"abstract":"\u0000 This study aimed to assess the diversity of endophytic fungi isolated from Abutilon indicum using morphological and molecular techniques. The isolates were exposed to various levels of salinity, temperatures, and heavy metals, including Ag2+ and Zn2+, at concentrations of 3.6 and 11.5 mM. Thirty root segments were isolated from each plant and cultured on potato dextrose agar plates. Four endophytic fungi were randomly isolated from infected root segments, belonging to the genera Aspergillus, Meyerozyma, and Penicillium. The phylogenetic analysis revealed significant diversity among the isolates of Aspergillus welwitschiae, Aspergillus indologenus, Meyerozyma carpophila, and Penicillium citrinum, with a 99% similarity in their sequences. Most isolates were able to thrive under salt stress conditions at NaCl concentrations of 200 mM (26%), 400 mM (24%), 600 mM (21%), 800 mM (13%), and 1000 mM (16%). Tolerant to temperature, endophytes could survive in the range of 25°C to 35°C but could not survive above 50°C. Heavy metals tolerance of 89% of these isolates led to a significant decrease in biomass production when exposed to Ag2+. Endophytic fungal isolates showed decreased sensitivity to Zn2+, but between 33% and 60% showed strong growth in conditions with high levels of Zn2+. These findings revealed that endophytic fungi of A. welwitschiae enhanced growth when exposed to various stress conditions. Our findings indicate that the presence of fungal endophytes in different stress conditions leads to significant growth, and this could be useful for phytoremediation purposes.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2024-07-10DOI: 10.1088/2515-7620/ad61c1
W. Alahmad, Tamara S Al Qudah, Anas Khasawneh, Ra'ed A. Al Otoom, Maysa A. Al-Atoom, Wajed Al Ahmad, Rani Alsomadi
The awareness of orphan plants and underutilized species that have agricultural, nutritional, and medicinal importance is critical to the sustainable civilization of people. The lack of knowledge of the orphan plant's importance stems from insufficient outreach and educational efforts and this may increase the underappreciation of these plants' ecological relevance which will affect the sustainable environment in the determined region. In this study, Al Zarqa basin region located in the northern part of Jordan was selected as a study case. This is due to it has rich plant biodiversity with many endangered plant species. This study aimed to assess the awareness levels of the civil people in the Al Zarqa basin regarding orphan plants and identify key factors influencing the community's understanding of these underutilized species. In this study, local youth volunteers distributed an e-questionnaire, and 1000 participants from seven villages were engaged. Different parameters that measure people's awareness regarding orphan plants were evaluated. Data were collected and statistically analyzed to show the range of the people's awareness. Data showed the predominant of the samples used were male representation (66%), aged 18-45, engaged in agricultural and handicraft activities, with diverse educational backgrounds, and monthly incomes of 300-500 JD. Limited awareness (23.3%) of "orphan plants" was linked to lower academic levels in the studied areas. Perceived benefits varied, with 36.1% acknowledging moderate advantages and 25.6% perceiving high benefits. Despite recognizing utility, participants lacked specificity in benefits or classification. The study concludes that the region exhibits a dearth of knowledge about orphan plants, necessitating educational initiatives to raise awareness and advocate for the agricultural and medicinal potential of underutilized plant species, contributing to the socioeconomic advancement of residents in the agriculturally endowed Zarqa Basin.
{"title":"Unveiling Awareness and Knowledge of Orphan Plants: Catalysts for Sustainable Transformation in Al Zarqa Basin, Jordan","authors":"W. Alahmad, Tamara S Al Qudah, Anas Khasawneh, Ra'ed A. Al Otoom, Maysa A. Al-Atoom, Wajed Al Ahmad, Rani Alsomadi","doi":"10.1088/2515-7620/ad61c1","DOIUrl":"https://doi.org/10.1088/2515-7620/ad61c1","url":null,"abstract":"\u0000 The awareness of orphan plants and underutilized species that have agricultural, nutritional, and medicinal importance is critical to the sustainable civilization of people. The lack of knowledge of the orphan plant's importance stems from insufficient outreach and educational efforts and this may increase the underappreciation of these plants' ecological relevance which will affect the sustainable environment in the determined region. In this study, Al Zarqa basin region located in the northern part of Jordan was selected as a study case. This is due to it has rich plant biodiversity with many endangered plant species. This study aimed to assess the awareness levels of the civil people in the Al Zarqa basin regarding orphan plants and identify key factors influencing the community's understanding of these underutilized species. In this study, local youth volunteers distributed an e-questionnaire, and 1000 participants from seven villages were engaged. Different parameters that measure people's awareness regarding orphan plants were evaluated. Data were collected and statistically analyzed to show the range of the people's awareness. Data showed the predominant of the samples used were male representation (66%), aged 18-45, engaged in agricultural and handicraft activities, with diverse educational backgrounds, and monthly incomes of 300-500 JD. Limited awareness (23.3%) of \"orphan plants\" was linked to lower academic levels in the studied areas. Perceived benefits varied, with 36.1% acknowledging moderate advantages and 25.6% perceiving high benefits. Despite recognizing utility, participants lacked specificity in benefits or classification. The study concludes that the region exhibits a dearth of knowledge about orphan plants, necessitating educational initiatives to raise awareness and advocate for the agricultural and medicinal potential of underutilized plant species, contributing to the socioeconomic advancement of residents in the agriculturally endowed Zarqa Basin.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141660699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2024-07-10DOI: 10.1088/2515-7620/ad61c2
Li Li, Cuiyou Song
This study aims to extend the attitude-intention-behavior model by adding the individual (interdependence self-construal) and contextual (news attention on new media platforms) factors as antecedents to understand the formation process of Chinese individuals' pro-environmental behavior. Results of the structural equation modeling (SEM) analysis based on web survey data of 723 Chinese individuals showed that interdependent self-construal had a significant direct association with people's attention to environmental news messages on new media platforms. Such news attention is then positively associated with their attitudes toward pro-environmental behaviors. In turn, pro-environmental attitude positively predicted their environmental intentions. Finally, people's behavioral intentions positively led to their actual pro-environmental behaviors. Besides, the results demonstrate that interdependent self-construal is also directly and positively associated with people's intention of acting environmentally. Theoretical and practical implications were discussed.
{"title":"Understanding the antecedents of Chinese people's pro-environmental behavior: the role of self-construal and news attention","authors":"Li Li, Cuiyou Song","doi":"10.1088/2515-7620/ad61c2","DOIUrl":"https://doi.org/10.1088/2515-7620/ad61c2","url":null,"abstract":"\u0000 This study aims to extend the attitude-intention-behavior model by adding the individual (interdependence self-construal) and contextual (news attention on new media platforms) factors as antecedents to understand the formation process of Chinese individuals' pro-environmental behavior. Results of the structural equation modeling (SEM) analysis based on web survey data of 723 Chinese individuals showed that interdependent self-construal had a significant direct association with people's attention to environmental news messages on new media platforms. Such news attention is then positively associated with their attitudes toward pro-environmental behaviors. In turn, pro-environmental attitude positively predicted their environmental intentions. Finally, people's behavioral intentions positively led to their actual pro-environmental behaviors. Besides, the results demonstrate that interdependent self-construal is also directly and positively associated with people's intention of acting environmentally. Theoretical and practical implications were discussed.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2024-07-10DOI: 10.1088/2515-7620/ad61c8
Tianze Pang, Mohammad Aminur Rahman Shah, Q. Dau, X. Wang
With the worldwide growing threat of flooding, assessing flood risks for human societies and the associated social vulnerability has become a necessary but challenging task. Earlier research indicates that islands usually face heightened flood risks due to higher population density, isolation, and oceanic activities, while there is an existing lack of experience in assessing the island-focused flood risk under complex interactions between geography and socioeconomics. In this context, our study employs high-resolution flood hazard data and the principal component analysis (PCA) method to comprehensively assess the social risk of flood exposure and social vulnerability in Prince Edward Island (PEI), Canada, where limited research has been delivered on flood risk assessments. The findings reveal that exposed populations are closely related to the distribution of flood areas, with increasingly severe impact from current to future climate conditions, especially on the island’s north shore. Exposed buildings exhibit a concentrated distribution at different levels of community centers, with climate change projected to significantly worsen building exposure compared to population, possibly due to the urban agglomeration effect. The most populated cities and towns show the highest social vulnerabilities in PEI, and the results reflect a relatively less complex economic structure of islands. Recommendations for research and management in the coming stage include the necessity of particular climate actions, recognizing community centers as critical sites for flood hazard responses, and incorporating flood hazards into urban planning and management to mitigate the impacts of continuous urbanization on ecosystem services for flood prevention.
{"title":"Assessing the social risks of flooding for coastal societies: A case study for Prince Edward Island, Canada","authors":"Tianze Pang, Mohammad Aminur Rahman Shah, Q. Dau, X. Wang","doi":"10.1088/2515-7620/ad61c8","DOIUrl":"https://doi.org/10.1088/2515-7620/ad61c8","url":null,"abstract":"\u0000 With the worldwide growing threat of flooding, assessing flood risks for human societies and the associated social vulnerability has become a necessary but challenging task. Earlier research indicates that islands usually face heightened flood risks due to higher population density, isolation, and oceanic activities, while there is an existing lack of experience in assessing the island-focused flood risk under complex interactions between geography and socioeconomics. In this context, our study employs high-resolution flood hazard data and the principal component analysis (PCA) method to comprehensively assess the social risk of flood exposure and social vulnerability in Prince Edward Island (PEI), Canada, where limited research has been delivered on flood risk assessments. The findings reveal that exposed populations are closely related to the distribution of flood areas, with increasingly severe impact from current to future climate conditions, especially on the island’s north shore. Exposed buildings exhibit a concentrated distribution at different levels of community centers, with climate change projected to significantly worsen building exposure compared to population, possibly due to the urban agglomeration effect. The most populated cities and towns show the highest social vulnerabilities in PEI, and the results reflect a relatively less complex economic structure of islands. Recommendations for research and management in the coming stage include the necessity of particular climate actions, recognizing community centers as critical sites for flood hazard responses, and incorporating flood hazards into urban planning and management to mitigate the impacts of continuous urbanization on ecosystem services for flood prevention.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2024-07-10DOI: 10.1088/2515-7620/ad61c6
Galen Hall, Loredana Loy, Robert J. Brulle, Kennedy Schell-Smith, Ming-May Hu, Stina Trollback
A network of organizations working to oppose climate action, called the climate change countermovement (CCCM), has long been a critical yet highly opaque subject of study for social scientists concerned with climate politics. We leverage a new combined dataset of boards of directors, financial contributions, and texts produced by CCCM members to characterize its sources of support and social structure. We show that foundations tend to make more frequent and larger donations to CCCM nonprofits when they are linked through a board member. We also show that CCCM nonprofits which are more distant from each other in the social network of board members produce different climate change discourses. Community detection methods robustly detect three communities within the CCCM: conservative think tanks (CTT), oil and gas trade associations, and utility, coal, and manufacturing trade associations, each with unique goals within the countermovement. The findings suggest that the climate countermovement is an interface among these communities which together ensure that climate action obstruction is achieved on different but complementary fronts, through both discursive and more concrete policy efforts. This paper also introduces a new way of understanding organized climate obstruction and makes significant methodological contributions in the study of social movements and countermovements.
{"title":"Where Ideology Meets Private Interest: The Three-part Composition of Climate Obstruction in the United States.","authors":"Galen Hall, Loredana Loy, Robert J. Brulle, Kennedy Schell-Smith, Ming-May Hu, Stina Trollback","doi":"10.1088/2515-7620/ad61c6","DOIUrl":"https://doi.org/10.1088/2515-7620/ad61c6","url":null,"abstract":"\u0000 A network of organizations working to oppose climate action, called the climate change countermovement (CCCM), has long been a critical yet highly opaque subject of study for social scientists concerned with climate politics. We leverage a new combined dataset of boards of directors, financial contributions, and texts produced by CCCM members to characterize its sources of support and social structure. We show that foundations tend to make more frequent and larger donations to CCCM nonprofits when they are linked through a board member. We also show that CCCM nonprofits which are more distant from each other in the social network of board members produce different climate change discourses. Community detection methods robustly detect three communities within the CCCM: conservative think tanks (CTT), oil and gas trade associations, and utility, coal, and manufacturing trade associations, each with unique goals within the countermovement. The findings suggest that the climate countermovement is an interface among these communities which together ensure that climate action obstruction is achieved on different but complementary fronts, through both discursive and more concrete policy efforts. This paper also introduces a new way of understanding organized climate obstruction and makes significant methodological contributions in the study of social movements and countermovements.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2024-07-10DOI: 10.1088/2515-7620/ad5c60
Xujie Hu and Wanglin Yan
Unexpected events can have profound impacts on urban resource supply and consumption. The Great East Japan Earthquake (3.11 hereafter) triggered not only the planned blackout in the Tokyo Metropolitan Region soon after the disaster but also the energy shift to fossil fuels to recover from the disfunction of Fukushima nuclear power plants. Previous research has mainly focused on the direct energy consumption and carbon emissions of different sectors while the intensity and extensity of the impact on industries and the environment have never been empirically addressed. This study explores energy-use efficiency and carbon emissions in Tokyo from 2011 to 2015 through a lens of nexus using environmentally extended input-output analysis and community-wide carbon analytic approaches. Results show that the energy consumption is the largest exporter and importer of carbon emissions, whereas energy losses and carbon emissions caused by energy conversion and transmission are almost twice as much as those caused by the direct parts. Strong nexus effects among building and material, transportation, and energy consumption were observed. The 3.11 greatly impacted the energy structure and carbon emission patterns because of the increased consumption of coal for electricity. The share of energy consumption and carbon emissions by raw materials for construction also increased because of the increased demand for the reparation and reconstruction of buildings and transport systems. This structural change provided new scientific evidence for governments to implement decarbonization policies while preparing for unprecedented events.
{"title":"Quantifying the impact of earthquakes on urban energy consumption and carbon emissions in Tokyo from a nexus perspective","authors":"Xujie Hu and Wanglin Yan","doi":"10.1088/2515-7620/ad5c60","DOIUrl":"https://doi.org/10.1088/2515-7620/ad5c60","url":null,"abstract":"Unexpected events can have profound impacts on urban resource supply and consumption. The Great East Japan Earthquake (3.11 hereafter) triggered not only the planned blackout in the Tokyo Metropolitan Region soon after the disaster but also the energy shift to fossil fuels to recover from the disfunction of Fukushima nuclear power plants. Previous research has mainly focused on the direct energy consumption and carbon emissions of different sectors while the intensity and extensity of the impact on industries and the environment have never been empirically addressed. This study explores energy-use efficiency and carbon emissions in Tokyo from 2011 to 2015 through a lens of nexus using environmentally extended input-output analysis and community-wide carbon analytic approaches. Results show that the energy consumption is the largest exporter and importer of carbon emissions, whereas energy losses and carbon emissions caused by energy conversion and transmission are almost twice as much as those caused by the direct parts. Strong nexus effects among building and material, transportation, and energy consumption were observed. The 3.11 greatly impacted the energy structure and carbon emission patterns because of the increased consumption of coal for electricity. The share of energy consumption and carbon emissions by raw materials for construction also increased because of the increased demand for the reparation and reconstruction of buildings and transport systems. This structural change provided new scientific evidence for governments to implement decarbonization policies while preparing for unprecedented events.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141613948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2024-07-10DOI: 10.1088/2515-7620/ad61c7
Ke Chen
Understanding the occurrence of the intrusion of open ocean water onto the continental shelf has scientific significance and societal relevance as the intrusion can significantly disrupt the marine ecosystem and fisheries. High-resolution numerical modeling is used to investigate the spatiotemporal occurrence and mechanisms of highly anomalous bottom intrusions on the southern New England shelf. Based on multi-year numerical simulations, this study reveals a hotspot of cross-isobath bottom intensified intrusions at a topographic trough. Examination of multiple events portrays a robust mechanism of locally enhanced bottom intrusions. Persistent upwelling-favorable winds set up an enhanced pressure gradient field at the topographic trough and drive the intrusion a large-distance onshore. Numerical experiments with and without the topographic trough show that the localized pressure gradient results from a combination of the shelf orientation and local bathymetry, the latter being less decisive. Although highly anomalous waters on the shelf relate to wind forcing, correlations between the wind stress anomaly and bottom salinity anomaly at the location of the enhanced intrusion is modest, implying the need to incorporate other environmental factors to develop more deterministic prediction models for subsurface conditions on the shelf. The results have important implications for marine environment and fisheries management.
{"title":"A Hotspot and Mechanism of Enhanced Bottom Intrusion on the Southern New England Shelf","authors":"Ke Chen","doi":"10.1088/2515-7620/ad61c7","DOIUrl":"https://doi.org/10.1088/2515-7620/ad61c7","url":null,"abstract":"\u0000 Understanding the occurrence of the intrusion of open ocean water onto the continental shelf has scientific significance and societal relevance as the intrusion can significantly disrupt the marine ecosystem and fisheries. High-resolution numerical modeling is used to investigate the spatiotemporal occurrence and mechanisms of highly anomalous bottom intrusions on the southern New England shelf. Based on multi-year numerical simulations, this study reveals a hotspot of cross-isobath bottom intensified intrusions at a topographic trough. Examination of multiple events portrays a robust mechanism of locally enhanced bottom intrusions. Persistent upwelling-favorable winds set up an enhanced pressure gradient field at the topographic trough and drive the intrusion a large-distance onshore. Numerical experiments with and without the topographic trough show that the localized pressure gradient results from a combination of the shelf orientation and local bathymetry, the latter being less decisive. Although highly anomalous waters on the shelf relate to wind forcing, correlations between the wind stress anomaly and bottom salinity anomaly at the location of the enhanced intrusion is modest, implying the need to incorporate other environmental factors to develop more deterministic prediction models for subsurface conditions on the shelf. The results have important implications for marine environment and fisheries management.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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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