Environmental Research Communications最新文献

{"title":"Key pathways toward developing more ecoliterate individuals: a harmonious discourse analysis perspective","authors":"Changchen Ha, Yang Chen, Shumin Dong","doi":"10.1088/2515-7620/ad27f9","DOIUrl":"https://doi.org/10.1088/2515-7620/ad27f9","url":null,"abstract":"This article explores key pathways to improve the Chinese people’s ecological literacy (ecoliteracy) in ecolinguistics, and uses the framework of harmonious discourse analysis (HDA) to show how those pathways work. First, by reviewing HDA and ecoliteracy, we clarified the feasibility of their combined study. Then, a questionnaire was conducted among the inhabitants of one of China’s most ecologically advanced cities, and the key pathways to improving ecoliteracy were determined. The results showed that there were eight factors that were considered to encourage the people to be more ecoliterate, falling into the categories of education, participation in activities, and documents and publicity. We also reviewed a variety of cases and demonstrated the significance of these pathways for ecoliteracy using the framework of HDA. We found that an ecoliterate individual can guide ecological practice better by following the general assumption of human-orientedness and the principles of conscience, proximity, and regulation. These results provide new ways for ecologists and linguists to explore ecological issues, not only broadening the linguistic pathways of ecoliteracy, but also enriching the content of HDA.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"13 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140310942","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}

{"title":"Validating spatio-temporal environmental machine learning models: Simpson’s paradox and data splits","authors":"Anna Boser","doi":"10.1088/2515-7620/ad2e44","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2e44","url":null,"abstract":"Machine learning has revolutionized environmental sciences by estimating scarce environmental data, such as air quality, land cover type, wildlife population counts, and disease risk. However, current methods for validating these models often ignore the spatial or temporal structure commonly found in environmental data, leading to inaccurate evaluations of model quality. This paper outlines the problems that can arise from such validation methods and describes how to avoid erroneous assumptions about training data structure. In an example on air quality estimation, we show that a poor model with an <italic toggle=\"yes\">r</italic>\u0000² of 0.09 can falsely appear to achieve an <italic toggle=\"yes\">r</italic>\u0000² value of 0.73 by failing to account for Simpson’s paradox. This same model’s <italic toggle=\"yes\">r</italic>\u0000² can further inflate to 0.82 when improperly splitting data. To ensure high-quality synthetic data for research in environmental science, justice, and health, researchers must use validation procedures that reflect the structure of their training data.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"8 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140310941","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}

{"title":"An innovative environmental regulation tool for regional air pollution based on DEA-RFR","authors":"Songze Hao, Ke Zhang, Xiaohui Zhao, Jin Huang, Qingrui Zhao, Chengyu Wang, Hongpei Zhang, Xiaodan Wang, Binguo Zheng","doi":"10.1088/2515-7620/ad2c65","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2c65","url":null,"abstract":"Environmental regulation tools are one of the conventional means for pollution control in various countries. For large-scale urbanization regions, reasonable pre-allocation of pollutant emission amount for each area is an effective regulation to improve air quality. Treating pollutant emission quota as a resource element, a comprehensive input-output model has been established based on Data Envelopment Analysis (DEA) method, to evaluate the rationality of pollutant emission allocation and provide adjustment scheme, thus developing an environmental regulation tool. The index system includes factors of economy, environment, energy consumption, demographic and land-use as input indicators, regional GDP and environmental air quality index as output indicators. The regulation tool is applied to the current air pollutant emission management in Henan Province, China. The results show that 7 cities need to further adjust the allocation scheme, among which, Anyang, Xinxiang, Nanyang and Shangqiu are suggested to reduce the emission allocation quotas; Puyang and Zhumadian are suggested to increase the emission allocation quotas; Pingdingshan shall seek optimization paths through collaborative improvement. Further, to verify the effectiveness of the tool, by joint using Random Forest Regression (RFR), a DEA efficiency reassessment is conducted on the obtained new allocation scheme of Nanyang City. The results show that the efficiency of the new allocation scheme has reached optimal. This study provides a practical and effective regulation tool for regional management of pollutant emission, to balance economic growth and environmental protection.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"35 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311242","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}

{"title":"Development of ambitious and realistic targets to reduce short-lived climate pollutant emissions in nationally determined contributions: case study for Colombia","authors":"Christopher S Malley, Jenniffer I Pedraza, Luisa González, Maria del Carmen Cabeza, Mauricio Gaitan, John H Melo, Silvia Ulloa, Johan C I Kuylenstierna, Seraphine Haeussling, Elsa N Lefèvre","doi":"10.1088/2515-7620/ad2d77","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2d77","url":null,"abstract":"Limiting global temperature increases to below 1.5 °C requires reductions in Short-Lived Climate Pollutants (SLCPs), like methane, black carbon, and hydrofluorocarbons (HFCs), which is rarely reflected in targets within Nationally Determined Contributions (NDCs). Colombia’s 2020 NDC is explored as a case study for how Governments can integrate SLCP mitigation targets into climate change commitments. Methane and HFC mitigation contribute approximately 9% of Colombia’s GHG reduction commitment, and a separate target is included to reduce black carbon emissions by 40% by 2030 compared to 2014 levels. These targets are shown to be <italic toggle=\"yes\">ambitious</italic>, due to the inclusion of a new black carbon target, <italic toggle=\"yes\">realistic</italic> due to the identification of mitigation measures to achieve them, and <italic toggle=\"yes\">additional</italic> to CO₂ mitigation. Analysis of the planning process establishing these targets emphasises the importance of long-term planning to obtain agreement between coordinating institutions and implementing institutions on the utility of SLCP targets, and capacity-building within national institutions.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"128 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311575","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}

{"title":"Improving acid-stressed anaerobic digestion processes with biochar - towards a combined biomass and carbon management system","authors":"Jiahui Hu, Michael Wachendorf, Willis Gwenzi, Ben Joseph, Kathrin Stenchly, Korbinian Kaetzl","doi":"10.1088/2515-7620/ad2bb7","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2bb7","url":null,"abstract":"Interest in biochar as an additive to enhance anaerobic digestion (AD) has grown in the context of biomass cascading use and the 2050 net-zero goal. However, few studies have investigated the effects of biochar on AD from a biochar production perspective, including biomass feedstocks and pyrolysis temperatures. To valorise biomass and better understand the mechanisms and environmental implications of using biochar in AD, this study investigated the effects of distinct biochar types on AD under acid stress-induced process inhibition using batch tests. The results demonstrated that biochar can mitigate acid stress and enhance the methane production rate. The kinetic rate constant of methane production is positively related to the buffer capacity of the tested biochars (<italic toggle=\"yes\">R</italic>\u0000² = 0.88). The choice of feedstocks is a crucial factor (<italic toggle=\"yes\">P</italic> = 0.003), particularly the best-performing biochars derived from raw grass silage. In contrast, the pyrolysis temperature effect was less significant (<italic toggle=\"yes\">P</italic> = 0.18). Furthermore, the analysis of biochar indicates that the alkali (K) and alkaline earth (Ca, Mg) metals contained in biochar may be one of the important factors contributing to buffer capacity (<italic toggle=\"yes\">R</italic>\u0000² = 0.82 to 0.86). Hence, buffer capacity is a crucial quality criteria when evaluating biochar for AD applications. Raw grass silage biochars are promising for acid stress mitigation due to their high buffer capacity, while carbon-rich woody biochars have high CO₂ sequestration potential. A compromise between mitigating acid stress and sequestering carbon is the use of pre-treated grass biochar. Overall, the use of biochar-enriched digestate offers a potential way to close material loops and complete the biomass-to-biochar value chain.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"33 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311025","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}

{"title":"Estimating construction waste in New Zealand: a focus on urban areas, residential and non-residential building activities","authors":"Hadeel Albsoul, Dat Tien Doan, Ali GhaffarianHoseini","doi":"10.1088/2515-7620/ad2d00","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2d00","url":null,"abstract":"This paper examines the significant increase in construction waste (CW) due to urbanisation and population growth in New Zealand and worldwide. The aim is to estimate CW using available data in New Zealand and identify relevant indicators to employ estimation methods. Various methods and models for estimating CW at the urban level and from building activities are reviewed. According to the best available data, the paper uses the per-capita multiplier and waste generation rate methods to estimate CW in New Zealand. New Zealand’s per-capita multiplier for CW is 943.46 kg/per capita. The waste generation method using the floor area indicator is applied at residential and non-residential building levels. The estimated CW in 2021 was 531,109 tonnes for residential and non-residential buildings using the floor area indicator. The findings reveal a positive relationship between residential building activity and population growth, with Auckland generating the highest rate of CW. Because of the limitations of the available data and estimation methods, the paper highlights the need for standardised data collection systems and outreach programs to improve CW estimation practices. Further research is recommended to enhance waste reduction strategies and identify high-waste-generating materials and methods. It is vital to have accurate CW estimations to support project waste management plans and sustainable construction practices and to inform waste management policies and regulations at the regional or national level.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"33 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311414","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}

{"title":"Sustainable management model and ecosystem services of mangroves based on socio-ecological system on the coast of Batu Bara Regency, Indonesia","authors":"Rumondang Rumondang, Feli Feliatra, Trisla Warningsih, Dessy Yoswati","doi":"10.1088/2515-7620/ad2d01","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2d01","url":null,"abstract":"The coastal areas of Batu Bara Regency, Indonesia, face significant challenges due to the conversion of mangrove ecosystems into ponds and tourist destinations. This transformation not only results in the loss of natural coastal protection but also disrupts hydro-oceanography patterns, necessitating comprehensive management solutions that address ecological, economic, and social aspects. To this end, a research was carried out during June to August 2023 developing an integrated management model for sustainable preservation of mangrove ecosystems in Batu Bara Regency. The research aims to evaluate the economic benefits of mangrove ecosystems, particularly emphasizing on regulating, provisioning, and cultural services. The Analytic Network Process (ANP) method is employed to determine priority management strategies by considering the interrelationships between ecological, economic, social, and institutional factors. The model construction incorporates insights from literature reviews and expert interviews, facilitating the formulation of solutions for various aspects of mangrove ecosystem management. The economic value of mangrove ecosystems is estimated in three districts of Batu Bara Regency, with significant contributions to both provisioning and regulating services. In conclusion, the research underscores the importance of strategies such as mangrove area rehabilitation, ecotourism development, outreach and assistance, and community involvement in ensuring the sustainable management of mangrove ecosystems. These strategies hold the potential to preserve these valuable ecosystems, benefiting the environment and local communities alike.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"65 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311027","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}

{"title":"How is the relationship between rainfall and water vapor in the Indian monsoon influenced by changes in lapse rate during global warming?","authors":"Rakshith Mallesh, Jayaraman Srinivasan","doi":"10.1088/2515-7620/ad2c64","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2c64","url":null,"abstract":"Most climate models have shown that the Indian Summer Monsoon Rainfall (ISMR) will increase on account of global warming. The primary reason is the increase in column water vapor (CWV). The rainfall increase is not, however, proportional to the increase in column water vapor; for a given amount of CWV, rainfall will be lower in the future, according to model simulations. This suggests that other there are factors are at play. We have used a diagnostic model based on moist static energy (MSE) and moisture conservation to examine the impact of changes in the vertical lapse rate of temperature. Our results indicate that on decadal time scales, changes in ISMR are mediated by changes in CWV and temperature lapse rates. This is consistent with previous studies that showed the impact of column-mean temperature on the rainfall-CWV relationship. Findings are significant for climate model projections of ISMR, as correct estimation of lapse rate changes in models is necessary to predict ISMR changes accurately.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"142 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311258","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}

{"title":"Analyzing land use land cover (LULC) changes induced by the run-of river project and respondent survey: a case of Ghazi Barotha Hydropower Project on Indus River, Pakistan","authors":"Ehsan Inam Ullah, Shakil Ahmad, Muhammad Fahim Khokhar, Umer Khayyam, Muhammad Azmat, Muhammad Arshad, Faizan ur Rehman Qaiser","doi":"10.1088/2515-7620/ad2bb5","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2bb5","url":null,"abstract":"Land use land cover (LULC) change determination caused by development projects is always mandatory as land is the major source of local livelihoods and regional economy. Worldwide, very limited studies have been conducted to determine LULC changes caused by run-of-the-river projects, which are generally considered safe due to their design. Present study used Google Earth Engine (GEE) to examine the LULC changes caused by Ghazi Barotha Hydropower Project (GBHP), which is a run-of-the-river project, built in 2002 on Indus River in Pakistan. The project diverts river water from Ghazi barrage, for a 6,600 GWh annual power production, through an open concrete power channel of 100 m width and 9 m depth. Field surveys were carried out to assess respondents’ opinions about LULC changes and their major causes. LULC determination was carried out from 1990–2020 through processing Landsat images in GEE, and Random Forest (RF) machine learning technique was used for supervised classification of the study area. 384 respondents were consulted during the field survey and their responses were collected using semi-structured self-administered proformas. Results showed that after functioning, GBHP caused major LULC changes in project downstream areas from 2002–2010, as there was a significant decrease in area under agriculture by 29.10% and 47%, during summer and winter seasons respectively. The trend was concurrent with a decrease in area under water and was also followed by a marked increase in area under vegetation and baresoil. However, from 2010–2020, agriculture area again increased by 75.61% and 84.53% in summer and winter seasons respectively, as compared to 2002–2010. Respondents during the field survey revealed that agriculture reduction from 2002–2010 was due to water scarcity caused by GBHP; also leading to vegetation and baresoil increase. Recovery of agriculture from 2010–2020 was attributed to groundwater development intervention, better seeds, and farmers’ capacity building.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"33 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311034","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}

{"title":"Research on the impact of environmental regulations on green technological innovation in China from the perspective of digital transformation: a threshold model approach","authors":"Yanfei Xiao, Baoli Zhang, Huilin Wang","doi":"10.1088/2515-7620/ad2bb6","DOIUrl":"https://doi.org/10.1088/2515-7620/ad2bb6","url":null,"abstract":"The digital transformation in developing countries is crucial in determining whether environmental regulations can better facilitate green technological innovation. This paper constructs a theoretical model to deduce the relationships among digital transformation, environmental regulations, and green technological innovation. Empirical research is conducted using a two-way fixed-effects model and a threshold regression approach, based on provincial panel data from China spanning the years 2013 to 2020. The results indicate that environmental regulation inhibits green technological innovation. However, digital transformation, by reducing cost pathways, can promote the efficiency of green technological innovation under environmental regulation. This moderating effect exhibits a nonlinear threshold characteristic. Regarding dimensions of digital transformation, the level of digital investment shows no threshold, while both the level of digital application and the scale of digital integration exhibit threshold effects. Presently, in China, digital transformation effectively incentivizes green technological innovation under environmental regulation. Therefore, increasing digital investment, advancing digital applications, and fostering digital integration are inevitable choices to drive green technological innovation under the pressure of environmental regulation.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":"13 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140310947","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}