Environmental Research Communications最新文献

{"title":"What factors influence individuals' willingness to pay for environmental protection: Evidence from CGSS2021","authors":"Zhaoyang Li, Yisong Li","doi":"10.1088/2515-7620/ad6dbe","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6dbe","url":null,"abstract":"\u0000 As global environmental issues become increasingly severe, research into individuals' willingness to pay for environmental protection has gained prominence. This study aims to comprehensively explore the factors influencing individual willingness to pay for environmental protection in China. Utilizing the CGSS2021 data as a sample and employing hierarchical regression methods, we analyzed a large-scale, diverse dataset to examine factors affecting individual willingness to pay for environmental protection. The study reveals that income, environmental concern, knowledge, actions, public evaluation of government environmental efforts, and reliance on government environmental measures are significant factors influencing individual willingness to pay for environmental conservation. Additionally, the study conducted robustness checks on the model, verifying the stability and reliability of the results. This study not only provides a new perspective for academic research on environmental payment willingness but also offers more practical guidance for the formulation and implementation of environmental protection policies.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"58 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unlocking bioremediation potential: harnessing an indigenous bacterial consortium from effluent treatment plants for industrial wastewater treatment","authors":"Ashita Rai, V. Yadav, Daoud Ali, M. Fulekar","doi":"10.1088/2515-7620/ad6dbd","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6dbd","url":null,"abstract":"\u0000 Common Effluent Treatment Plant (CETP) wastewater poses significant environmental and health risks, necessitating advanced treatment technologies to meet discharge standards. This study focuses on the collection and characterisation of wastewater from CETP Vatva, Ahmedabad, to evaluate physicochemical parameters heavy metal concentrations, and identify indigenous bacterial species. Using Taguchi's systematic orthogonal array, an effective indigenous bacterial consortium (EIBC) was created for bioreactor-based CETP wastewater treatment. The 16S rDNA analysis revealed the presence of various bacterial strains, including the newly reclassified bacteria Stutzerimonas stutzeri. The analysis of the SI sample indicated substantial reductions in the concentrations of total dissolved solids (1090 mg/L), biological oxygen demand (28 mg/L), chemical oxygen demand (180 mg/L), and total phosphorus (1.4 mg/L) compared to their initial values of 7504 mg/L, 296 mg/L, 588 mg/L, and 3.04 mg/L, respectively, with a similar trend observed in samples SII and SIII. While turbidity was significantly reduced from initial concentrations ranging between 36-42 NTU to 4 NTU in SI, 5 NTU in SII, and 3 NTU in SIII samples, resulting in clear water, odour remained a persistent concern throughout the study. Heavy metal concentrations were within permissible discharge limits, with notable removal rates for Cu, Fe, and Cd. The study concludes that integrating systematic design modelling with bioreactor-based remediation effectively mitigates water pollution and safeguards human well-being.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"29 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perceived indoor environment and exacerbations of COPD and asthma – a cohort study between 2000-2018","authors":"Stine Kloster, Jørgen Vestbo, Michael Davidsen, Anne Illemann Christensen, Niss Skov Nielsen, Lars Gunnarsen, Annette Kjær Ersbøll","doi":"10.1088/2515-7620/ad6d3c","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6d3c","url":null,"abstract":"\u0000 Background: Ambient air pollution has been associated with exacerbations of chronic obstructive pulmonary disease (COPD) and asthma; however, little is known about indoor environmental factors. Our aim was to study the association between perceived indoor environment and the long-term risk of exacerbations of COPD or asthma. Methods: We followed 2,317 individuals aged ≥16 years with COPD or asthma from the Danish Health and Morbidity Survey from 2000 to 2018. Individuals developing COPD or asthma during the study period were included at the time of incident diagnosis. Individuals were grouped according to their patterns of perceived indoor environment and followed up for exacerbations defined based on information from the Danish National Health Registers. The association between perceived indoor environment and exacerbations was examined using a generalized mixed model with the Poisson distribution of the number of exacerbations and logarithmic transformation of follow-up time as offset. Analyses were adjusted for age, sex, education, household income, smoking, calendar year, construction year, urbanization, home ownership, and resident density. Results: A total of 5,352 exacerbations were recorded in 2,317 individuals during a median of 13.9 years (interquartile range, 7.9-18.2 years). The adjusted incidence rate ratio (IRR) of exacerbations were 1.40 (95% CI 0.85-2.29 and 0.82 (95% CI 0.49-1.38) among individuals with medium and high levels om annoyances, respectively. For annoyances related to temperature and traffic the IRR was 0.88 (95% CI 0.61-1.27) and 1.39 (95% CI 0.88-2.19), respectively. Conclusion: We found no association between indoor environment assessed as annoyances at a single time-point and exacerbations of COPD and asthma.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"90 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141926777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A pioneering approach to measure increased resilience to face climate change: insights from the Race to Resilience Campaign","authors":"Marco Billi, Roxana Bórquez, Juan Carlos Varela, Paulina Aldunce, Nicolle Aspee, Emilie Beauchamp, Priscilla Berríos, Marcela Cuevas, A. Loboguerrero, Francis Mason, Anand Patwardhan, Maisa Rojas","doi":"10.1088/2515-7620/ad6d37","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6d37","url":null,"abstract":"\u0000 This paper illustrates a methodology to measure the impact of resilience-building actions on the increased resilience of people and natural systems to face climate change, developed and field-tested around the Race to Resilience Campaign. Despite increasing acknowledgment of the need for robust methodologies and indicators to monitor and evaluate efforts across adaptation planning and implementation, and provide credibility, accountability and transparency to such actions, there is still a lack of sufficiently standardized and agreed upon metrics able to capture the effect of resilience-building actions. The proposal illustrated in this manuscript offers a pioneering approach for high-level tracking, monitoring and evaluation of resilience-building efforts of non-state actors, based on two complementing sets of metrics: depth metrics measure the degree to which an action is generating a change to fundamental conditions which can demonstrably be related to increasing resilience; while magnitude metrics offer a quantification of the beneficiaries that are affected by these changes. Underlying both stand the Resilience Attributes: properties which can be soundly associated with triggering resilience across different systems, and which can then be used to assess increased resilience ‘by proxy’: that is, by seeing how an action sets forth changes in properties commonly associated with resilience. These Attributes were identified based on updated scientific literature and co-construction exercises with global experts. The integration of Depth and Magnitude indices, adjusted by a Confidence Index evaluating data reliability, allows to estimate the overall contribution of a set of actions on increasing resilience against climate challenges. Based on the above, a possible Monitoring & Evaluation cycle is proposed, and an illustration is offered on two case studies from the Race to Resilience campaign. Key strengths, lessons learned and insights are summarized to stimulate the global discussion, in the context of the Global Stocktake and Global Goal on Adaptation.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"14 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141928495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review of studies investigating the link between greenspaces and human health reveals a paucity of interest in the topic in Africa","authors":"B. Phogole, KY Yessoufou","doi":"10.1088/2515-7620/ad6d3a","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6d3a","url":null,"abstract":"\u0000 Whilst the human population is declining in some parts of the world, the African population is growing tremendously despite recurrent epidemics and global pandemics. Since African population density is higher where plant diversity is high and 80% of the African population relies on herbal medicine, the resilience of the African population in the context of disease outbreaks may be linked to a strong tie of Africans with nature. However, is the potential effect of such a tie well established in the scientific discourse? To investigate this question, we followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We found that very few studies tested the relationships between greenspaces and human health conditions on the continent. Out of the 54 African countries, studies that investigate the link between greenspaces and health are from only six countries and the earliest study was published only in 2013, indicating the recency of research on this subject in Africa. These few studies, not only report mixed findings but are also heterogeneous in terms of their design (longitudinal vs. cross-sectional), the choice of predictors and health outcomes as well as how these variables are measured. This review showed that there is a paucity of studies on the greenspace and human health nexus on the continent, making it difficult i) to establish or generalise the relationships between greenspaces and human health conditions in Africa, and ii) to investigate the mechanisms driving the effects of nature on human wellbeing in Africa. To fuel interests and guide future research on the continent, the rate of knowledge generation needs to be rapidly increased, and this requires first the identification of current barriers. Second, we need to update curricula at African universities to include statistical modelling which can fuel interest into more hypothesis-driven (rather than just descriptive) studies.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"33 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Household Air Pollution Disparities Between Socioeconomic Groups in Chicago","authors":"W. I. Krakowka, Jiajun Luo, Andrew Craver, Jayant Pinto, Habibul Ahsan, Christopher O. Olopade, B. Aschebrook-Kilfoy","doi":"10.1088/2515-7620/ad6d3f","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6d3f","url":null,"abstract":"\u0000 Abstract Purpose: To assess indoor air pollution levels in urban US households and examine how socioeconomic factors influence these levels. Methods: We deployed wireless air monitoring devices to 244 households in a diverse population in Chicago to continuously record indoor fine particulate matter (PM2.5) concentration. We calculated hourly average PM2.5 concentration in a 24-hour cycle. Four factors – race, household income, area deprivation, and exposure to smoking – were considered in this study. Results: A total of 93085 hours of exposure data were recorded. The average indoor PM2.5 concentration was 43.8 μg/m3. We observed a significant difference in the average indoor PM2.5 concentrations between Black/African American and non-Black/African American households (46.3 vs. 31.6 μg/m3), between high-income and low-income households (18.2 vs. 52.5 μg/m3), and between smoking and non-smoking households (69.7 vs. 29.0 μg/m3). However, no significant difference was observed between households in less and more deprived areas (43.7 vs. 43.0 μg/m3). Implications: Indoor air pollution levels in Chicago households are much higher than the recommended level, challenging the hypothesis that indoor air quality is adequate for populations in high income nations. Our results indicate that it is the personal characteristics of participants, rather than the macro environments, that lead to observed differences in household air pollution. Keywords: PM, pollution, exposure, urbanicity, indoor environment","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An integrated expert recommender system approach to environmental service priorities in renewable energy","authors":"Serhat Yüksel, H. Di̇nçer, Umit Hacioglu, J. An, A. Mikhaylov, Z. Karpyn","doi":"10.1088/2515-7620/ad6d3e","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6d3e","url":null,"abstract":"\u0000 The purpose of this study is to analyze the investment success of renewable energy service design. A novel model has been constructed for this purpose. At the first stage, collaborative filtering methodology is taken into consideration to complete missing evaluations. After that, M-SWARA based on QUSFSs with golden cut is used to compute the weights of these factors. Finally, the components of the service design are ranked by TOPSIS approach. The main contribution of the paper is that a new methodology (M-SWARA) has been created in this study by making improvements to SWARA. With the help of this new model, causal directions between the indicators can also be examined. Similarly, collaborative filtering methodology is taken into consideration to complete missing evaluations. In this process, the decision makers are allowed to leave the questions they wanted blank. This situation is considered as the superiority of the proposed model compared to many previous models in the literature. The findings indicate that cost is the most significant factor for the success of renewable energy investments because it gets the highest weight (.261). The ranking results also demonstrate that product is the most essential component of the service design of renewable energy investments. Therefore, solving the high-cost problem is of vital importance to increase these investments. First, renewable energy companies can reduce costs with more effective financial management. To carry out this process effectively, a finance department consisting of qualified personnel is needed. Thanks to this team, current situations in the financial markets will be better followed and this will play an important role in reducing costs.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"114 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141926411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climatic characteristics of centennial and extreme precipitation in Hangzhou, China","authors":"Kuo Wang, Han Zhang, Mengying Bao, Zhengquan Li, Gaofeng Fan","doi":"10.1088/2515-7620/ad6d38","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6d38","url":null,"abstract":"\u0000 The precipitation characteristics in Hangzhou of Zhejiang Province, China under the background of global climate change are analyzed using the meteorological observation data obtained from the Hangzhou base station in this study. We investigate the climate characteristics of precipitation in Hangzhou from several aspects, such as centennial trend, seasonal change, periodicity and the variation of extreme precipitation. Our results show a linear decreasing trend and obvious interdecadal characteristics in the precipitation of Hangzhou on a centennial timescale. Significantly increased amplitude of precipitation fluctuation was observed since the beginning of the 21st century. For the interdecadal variation of seasonal precipitation on a centennial timescale, precipitation in autumn showed a decreasing trend of 8.1 mm/10a, whereas the trends for the other three seasons were statistically insignificant. The precipitation in Hangzhou showed a decreasing trend in spring and an increasing trend in winter over the past 30 years. Our analyses reveal distinct precipitation cycles, including a quasi-30-year cycle since the 1960s and a quasi-10-year cycle since the 1980s. However, the periodicity has weakened in the past 10 years. In addition, the occurrence of torrential rain has increased rapidly in the past 10 years. Furthermore, influenced by global climate change and regional processes, the variation of extreme precipitation in Hangzhou has changed, which shows strong correlations with the overall trend of annual precipitation. The annual maximum daily precipitation in Hangzhou was mainly in the range of 0-40 mm from 1951 to 1980 and in the range of 40-80 mm from 1981 to 2010 with the maximum daily precipitation occurrence rate of 1.41 times/10a and 1.89 times/10a, respectively. This study emphasizes the risk of urban waterlogging caused by short-term heavy rainfall and provides useful reference to the assessment of extreme meteorological and hydrological disaster risk in Hangzhou.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"55 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141926568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of climate change on major floods flowing into the Georges River estuary, Australia","authors":"Wenjun Zhu, Xiao Hua Wang, William Peirson","doi":"10.1088/2515-7620/ad6d39","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6d39","url":null,"abstract":"\u0000 Coastal flooding induced by storm surges and heavy rainfall is one of the most frequent climate-related natural hazards along the southeast Australian coast, home to more than 55% of the Australian population. Flooding in this densely populated region is a threat to public safety, coastal infrastructure, ecological systems and the economy. Although climate change is expected to cause an increase in major floods, few studies have quantified the potential changes in flood severity. This study quantifies the changes in flood peak discharge flowing to the Georges River estuary in Australia due to climate-change. An event-based hydrological model, Watershed Bounded Network Model (WBNM), was used to predict flood discharge. This hydrological model was forced by rainfall data obtained from the New South Wales and Australian Capital Territory Regional Climate Modelling Project version 1.5 (NARCliM1.5) for both historical and the Representative Concentration Pathway 8.5 (RCP8.5) conditions. Model calibration for the floods of March 1978 and March 2022 achieved a general agreement between the predicted and observed hydrographs, with an overall average 14% error in the peak values, further demonstrating that the modelling approach is generally reliable in projections of flood severity. Using high resolution climate model projections, the present study observed an increase of 22% in the model ensemble average from historical conditions to the RCP8.5 scenario for the 20-year average recurrence interval (ARI) 24-hour extreme rainfall. This heightened extreme rainfall consequently resulted in the changes in flood discharge with an average rise of 55%. This study provides specific assessment of climate-generated risks for densely-populated regions, especially those on Australian east coast. Global studies have suggested that extreme precipitation events will increase under climate change. This study supports and enhances these assertions by using high resolution downscaling to quantify the specific changes within a large catchment.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"49 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141929364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of ecological network resilience using OWA and attack scenario simulation in the Gansu section of the Yellow River Basin, NW China","authors":"Kexin Zhang, Jinghu Pan","doi":"10.1088/2515-7620/ad6d3d","DOIUrl":"https://doi.org/10.1088/2515-7620/ad6d3d","url":null,"abstract":"\u0000 Regional ecosystem quality has been rapidly declining as a result of rapid urbanization, which has also fragmented landscapes and reduced ecosystem connectedness. Strengthening ecological network resilience helps improve the ecological environment's quality, protect biodiversity, and maximize ecological benefits. To quantitatively assess ecological network resilience based on 2020 data, we have selected the Gansu region of the Yellow River Basin as a case study in this study due to its significant ecological condition and sensitive vulnerability. Firstly, based on four ecosystem services (ESs)—water yield, carbon storage, soil conservation, and habitat quality—the ordered weighted averaging (OWA) method is introduced to determine ecological sources by calculating ordered weights under different risk coefficients to weigh multiple ESs. Two node attack simulations—random attack and deliberate attack—are used for quantitatively evaluating ecological network resilience, which can simulate the impact of external interference. The concept of a resilience threshold is introduced into the evaluation process of network resilience. The findings indicate that (1) 156 ecological corridors spanning a total distance of 6,569.3 km and 73 ecological sources totalling 20,840 km2 were found in the study area. These findings generally demonstrate a concentrated and contiguous configuration in the southwestern region and a broken and scattered configuration in other regions. (2) With a mean degree of 4.27, a mean path length of 4.08, and a clustering coefficient of 0.47, an undirected and unweighted complex network with improved connectivity and no discernible clustering characteristics was established. (3) The ecological network is more resilient to perturbations from natural disasters when compared to assault simulations in two scenarios; the resilience threshold is 0.34. Considering the final results of node global features and resilience curves, ecological protection suggestions are proposed.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"28 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}