Journal of Environmental Management最新文献

{"title":"Utilizing large language models for identifying future research opportunities in environmental science.","authors":"Xiaoliang Ji, Xinyue Wu, Rui Deng, Yue Yang, Anxu Wang, Ya Zhu","doi":"10.1016/j.jenvman.2024.123667","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123667","url":null,"abstract":"<p><p>Facing pressing global challenges such as climate change, biodiversity loss, resource scarcity, and environmental pollution, the field of environmental science urgently needs innovative research methods. However, identifying meaningful and cutting-edge research topics is a significant challenge, as it requires a thorough understanding of existing literature and the ability to discern knowledge gaps. Traditional bibliometrics often fall short of capturing nascent interdisciplinary fields. Recent advancements in artificial intelligence (AI) offer potential solutions to this challenge. This study explores the capabilities of large language models (LLMs) in identifying and analyzing emerging research opportunities in environmental science. We employ a text retrieval method based on word embeddings, utilizing the emergent reasoning abilities of LLMs combined with embedded search techniques to dynamically integrate the latest literature. By comparing the GPT-3.5 API with supplementary literature, ChatGPT, and GPT-4, we find that the GPT-3.5 API provides a more comprehensive, detailed, and current analysis of cutting-edge environmental science, emphasizing the importance of understanding the dynamics and timeliness of the field. Our findings underscore the critical role of interdisciplinary research, AI, and big data in addressing urgent environmental challenges. LLMs can serve as valuable tools for researchers, offering guidance and inspiration for future directions in environmental science research.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123667"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Long-chain perfluoro carboxylic acids in landfill leachate: Extraction, detection and biodegradation.","authors":"Pratishtha Khurana, Xuhan Shu, Gurpreet Kaur, Rama Pulicharla, Pratik Kumar, Satinder Kaur Brar","doi":"10.1016/j.jenvman.2024.123518","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123518","url":null,"abstract":"<p><p>Landfills serve as major repositories for products containing per- and polyfluoroalkyl substances (PFASs). These compounds have been documented in the resulting leachate, posing a significant threat to both surface water and groundwater quality. Long-chain perfluoro carboxylic acids (LC-PFCAs), which act as precursors to shorter-chain PFCAs, are particularly persistent in the environment. Despite this, data on LC-PFCA's occurrence in landfill leachate is limited, highlighting the need for thorough monitoring and control efforts. This study focuses on the extraction of LC-PFCA using solid-phase extraction (SPE), detection by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and their biodegradation using an autochthonous bacterial community of landfill leachate based on the hypothesis that native bacteria can consume these pollutants. The findings of the study indicate that SPE efficiency and PFCA recovery rates were higher in diluted leachate samples. LC-MS/MS exhibited superior sensitivity and accuracy compared to direct MS injection, with lower detection limits. Throughout the sampling period, perfluoro nonanoic acid (PFNA) and perfluoro decanoic acid (PFDA), were detected in concentrations ranging from 30 to 640 ng/L and 40-510 ng/L, respectively. Further, the native microbial community degraded spiked PFNA and PFDA (1, 10, and 100 mg/L), with efficiencies of 35.26 ± 5.47% and 53.38 ± 6.54%, respectively, and Aeromonas, Proteus, Moheibacter, Pseudochrobactrum, Providencia and Pseudomonas were identified as the most promising genus to degrade LC-PFCAs. Overall, these findings of the study highlight the significance of robust analytical methods for LC-PFCA detection and reveals the promising prospects for PFNA and PFDA biodegradation by pre-existing bacterial communities.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123518"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Higher education expansion and emission trading scheme: A case study in China.","authors":"Shuyang Chen","doi":"10.1016/j.jenvman.2024.123699","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123699","url":null,"abstract":"<p><p>Despite the abundant empirical evidence of higher education impacting emission mitigation, few studies have uncovered the mechanism that higher education affects climate policy. In this paper, we attempt to narrow the aforementioned research gap by employing a Computable General Equilibrium (CGE) model to quantify the relations between the higher education expansion (HEE) and emission trading scheme (ETS) in China. The CGE model results show that the HEE reduces labor employment, GDP, and emissions, whereas the ETS relieves these HEE impacts. Regardless of the HEE, the ETS causes emission abatement at the price of employment loss and GDP loss, whereas the HEE weakens the ETS effects on employment, GDP, and emissions. These findings imply that HEE negatively affects emission mitigation in climate policy implementation, whereas climate policy could be implemented to boost economic growth during college education expansion.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123699"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Advancing river flood forecasting with a collaborative integrated modeling method.","authors":"Yuanqing He, Yongning Wen, Ruoyu Tao, Zhiyi Zhu, Wentao Li, Jiapeng Zhang, Songshan Yue, Qingyun Duan, Guonian Lü, Min Chen","doi":"10.1016/j.jenvman.2024.123677","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123677","url":null,"abstract":"<p><p>River flood forecasting and assessment are crucial for reducing flood risks, as they offer early alerts and allow for proactive actions to safeguard individuals from possible flood-related damage. Effective modeling in this field often multiple interconnected aspects of the hydrologic cycle, such as precipitation, infiltration, runoff, and evaporation, requiring collaboration among hydrology experts. Such collaboration enables experts to handle and manage their specialized processes more effectively, thereby enhancing the efficiency of the development of integrated flood forecasting models. Tight integration and loose integration are two common strategies for integrating different hydrologic cycle process models in river flood forecasting. However, most integration strategies rely on centralized models, necessitating experts to configure models and data on local computers. Currently, there is a deficiency in the capacity for effective collaboration in the integrated modeling of river flood forecasts. This issue arises from multiple obstacles: the complexity of understanding heterogeneous data and hydrologic cycle process models; the difficulty of integrating models with diverse runtime environments; and the challenge of synchronizing forecasting model changes among experts in real time. Therefore, we propose a web-based collaborative integrated modeling method, designed to support both tightly and loosely integrated modes, to enhance collaborative river flood forecasting and assessment. This method includes three core modules: (1) data and model description for providing a structured description of the execution logic of forecasting models and the internal structure of forecast data for expert understanding; (2) model access and integration for access and integration of data and multi-source heterogeneous models of hydrologic cycle processes; and (3) modeling scenario configuration for collaborative development of forecasting models and the execution of simulation tasks. Finally, we illustrate the application of the proposed method by utilizing the GEFS v12 (Global Ensemble Forecast System) rainfall ensemble forecasting dataset with the CREST (Coupled Routing and Excess STorage) hydrologic model. The results show enhanced efficiency in the collaborative development of river flood forecasts by hydrology experts, particularly in model accessibility, data processing, simulation, and evaluation, thereby potentially aiding decision-making.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123677"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Study on the carbon source stability of constructed wetland prepared from modified aged straw.","authors":"Wenjing Zhao, Lingyun Fan, Yunyun Guo, Haiyin Wu, Shuying Zang, Hanxi Wang","doi":"10.1016/j.jenvman.2024.123708","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123708","url":null,"abstract":"<p><p>The low cost of biomass has made it an important option for providing carbon sources in the treatment of low carbon to nitrogen ratio (C/N) wastewater constructed wetland (CW). However, the unstable release of biomass carbon source reduces utilization and operation efficiency of CW. In this study, aged corn straw was used as raw material, and modification treatments with acid, alkali and oxidant were to optimize the conditions for stable carbon source release. The results showed that the modified straw exhibited three trends (stable release, continuous release, and short-term release) under water immersion conditions. The electrical conductivity (EC) of straw modified by HCl, H₂SO₄ and low-concentration KMnO₄ (0.01 mol L^-1) was low, so the supply of carbon sources in CW was obviously insufficient. The straw modified by HNO₃ (1.5 or 2.5 mol L^-1), KMnO₄ (0.05 mol L^-1), KMnO₄ (0.05 mol L^-1) + HCl (0.004 mol L^-1) was continuously released chemical oxygen demand during the experiment, the increase in EC was significant, which could be used as an additional carbon source for CW. The research results will promote the improvement of biomass carbon source utilization in CW and improve the utilization value of straw.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123708"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Trends and drivers of China's embodied carbon emissions in global value chains.","authors":"Shukuan Bai, Boya Zhang, Yadong Ning","doi":"10.1016/j.jenvman.2024.123623","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123623","url":null,"abstract":"<p><p>Accurately measuring the embodied carbon emissions (ECE) in global value chains (GVCs) and identifying their key drivers is vital for formulating targeted mitigation policies in the context of GVCs. However, few studies have considered the effects of foreign direct investment (FDI)-related GVCs. To fill this gap, this study utilizes an inter-country input-output model and a decomposition framework for carbon emissions to measure the ECE in GVCs related to China during 2000-2018. It then quantifies the drivers of these emissions by distinguishing three GVC patterns (trade-related, FDI-related, and hybrid GVCs) using a structural decomposition analysis method incorporating GVCs. The key findings are as follows: (1) China has witnessed an increasing trend of carbon emissions originating from GVC production patterns, with FDI-related GVCs being particularly noteworthy. (2) China's ECE primarily originate from GVC production activities related to electricity, gas, water supply, construction, and other services. Medium- and high-tech manufacturing also contribute significantly to the growth of ECE. (3) The major drivers of China's ECE vary among the three GVC patterns. The increase in China's ECE in FDI-related GVCs was caused mainly by the growth in domestic final demand; conversely the decrease of the carbon emissions coefficient played a restraining role. These insights provide valuable perspectives for formulating policies that enable countries and industries to reduce their carbon emissions and support economic and environmental sustainability.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123623"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Optimizing soil properties, water use efficiency, and crop yield through biochar and organic manure integration in organic soil.","authors":"Peeyush Sharma, Vikas Abrol, Jasiya Nazir, R K Samnotra, Sushil Kumar Gupta, Shrdha Anand, Jayanta Kumar Biswas, Smriti Shukla, Manish Kumar","doi":"10.1016/j.jenvman.2024.123673","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123673","url":null,"abstract":"<p><p>Speedy decomposition of organic manure and efficient utilization of rice husk waste are two critical challenges for sustainable environment and soil health management. However, understanding the synergistic effects of rice husk biochar (B) and organic manure (OM) on soil properties and crop growth in subtropical conditions remains unclear. A field study was conducted to investigate the impact of sole and combined application of rice husk biochar (0 t ha^-1, 3 t ha^-1), farmyard manure (FYM), and vermicompost (VC) on soil aggregation, aggregate-associated carbon, water use efficiency (WUE), economic benefits, and yield of radish crop in sandy clay loam organic soil. Biochar application enhanced the macroaggregate stability and aggregate associated C contents. Soil moisture, infiltration rate (IR) and WUE were significantly improved by 9.2%, 20.8% and 13.6%, respectively, with addition of biochar, which might be related to improved aggregate-associated carbon and water retention in the soil. Similarly, improved soil properties, WUE were noticed in the treatment receiving combination of FYM + VC over the control. 16% and 30.9% higher radish yield was observed with biochar and FYM + VC amended treatments compared without B0 and manure OM0, respectively. The integrated use of biochar (3 t ha^-1) and OM (FYM + VC) resulted in highest economic benefits of net return (₹ 138,325 ha^-1) and B:C (1:5) ratio and least in control plots. These results indicate that adding biochar in organic management practices considerably improved the soil properties, WUE which resulted in increased organic radish production.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123673"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Chiral plasmonic Au@Pt nanoparticles for detection of H₂O₂ and Hg²⁺ and enantiomeric differentiation.","authors":"The Anh Quang, Thi My Cam Tran, Tejraj M Aminabhavi, Lalitha Gnanasekaran, Yasser Vasseghian, Sang-Woo Joo","doi":"10.1016/j.jenvman.2024.123561","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123561","url":null,"abstract":"<p><p>Chiral Au@Pt nanoparticles (NPs) with optically plasmonic and catalytic active surfaces were sustainably prepared to serve as label-free surface enhanced Raman scattering (SERS) platform to distinguish D- and L-enantiomers of alanine and tartaric acid. Surface morphologies were characterized by high-angle annular dark-field imaging-scanning transmission electron microscopy (HADDF-STEM) and selected area energy diffraction (SAED) patterns. The amounts of Pt on chiral Au NPs were estimated by the inductively coupled plasma-optical emission spectrometer (ICP-OES) and X-ray diffraction (XRD). The versatile applications including the environmental hazardous species monitoring and the fundamental enantiomeric differentiation are demonstrated for the novelty of prepared materials. Au@Pt NPs were used as a unique platform of H₂O₂ and Hg²⁺ concentrations using UV-Vis absorption and surface enhanced Raman scattering (SERS). The chiral Au@Pt NP platform may provide an efficient approach to achieve chiral nanocatalysis for numerous chemical reactions.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123561"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Extraordinary nature and human recovery: Psychological and physiological perspectives.","authors":"Zhengkang Bai, Shuangquan Zhang, Hui He","doi":"10.1016/j.jenvman.2024.123661","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123661","url":null,"abstract":"<p><p>The restorative effect of natural environments on human well-being has garnered significant attention in psychology and environmental science. However, extraordinary nature-such as volcanoes, glaciers, and starry skies-has been largely underexplored despite its potential to elicit stronger emotional and physiological responses. Similarly, personality analysis has been somewhat overlooked in environmental psychology research. This study investigates the psychophysiological benefits of both extraordinary and ordinary natural environments, focusing on emotional recovery, cognitive focus, and physiological relaxation. We incorporate personality traits, gender, and awe as key factors in understanding recovery outcomes. Using a sample of 88 young adults(44males, 44females) with 20.2 (SD = 1.1)average year old, we evaluated psychological and physiological recovery indicators, including alpha and beta wave activity measured by EEG, as well as derived indices of focus and relaxation from EEG data, and self-reported psychological recovery.The results indicate that: (1) Extraordinary nature leads to significantly greater restorative effects on psychological and physiological outcomes, with marked improvements in alpha and beta waves, focus, relaxation, and psychological recovery scores. (2) Not all individuals favor extraordinary nature; two-way ANOVA reveals that individuals with high openness and extraversion show a stronger preference for extraordinary nature. (3) A higher sense of awe towards nature correlates strongly with better recovery outcomes, as demonstrated through correlation analysis and fitting curves. (4) Gender differences reveal that men tend to prefer extraordinary nature, with stronger recovery outcomes. This study introduces new perspectives into green space planning, urban landscape design, and environmental psychology, emphasizing the importance of incorporating stunning elements into public spaces to promote psychological and physical health, accelerate the achievement of the 17 Sustainable Development Goals set by the United Nations, build sustainable cities and communities, responsible consumption and production, land-based living, and promote health and well-being. The research findings indicate that extraordinary nature can be a powerful tool for improving public health and provide valuable insights for creating more sustainable and restorative urban environments.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123661"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Treatment of effluent from municipal wastewater treatment plants using electrochemically produced Caro's acid.","authors":"M Pilar Castro, Ismael F Mena, Cristina Sáez, Manuel A Rodrigo","doi":"10.1016/j.jenvman.2024.123686","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123686","url":null,"abstract":"<p><p>This work describes the application of electrochemically produced Caro's acid in a divided electrochemical flow cell for the removal of fourteen CECs from real effluent at a municipal wastewater treatment plant in Ciudad Real, Spain. The results are compared with direct dosing of the reagent (with an ionic/molecular oxidant) and radical-assisted oxidation (activated sulfate radical via photochemical oxidation or hydrogen peroxide-induced radical oxidation). This study sheds light on the underlying mechanisms of these processes. As well, the effect of these three technologies on effluent disinfection is evaluated. The results demonstrate that this treatment alternative efficiently destroys all monitored pollutants, reaching the detection limits of the analytical equipment.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"373 ","pages":"123686"},"PeriodicalIF":8.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}