Journal of Environmental Management最新文献

{"title":"How a research community constructs and uses naturalness: A case study of the 2023 Lookout Fire and the H.J. Andrews Experimental Forest in Oregon, USA","authors":"Claire Rapp ,&nbsp;Michael Paul Nelson","doi":"10.1016/j.jenvman.2025.125467","DOIUrl":"10.1016/j.jenvman.2025.125467","url":null,"abstract":"<div><div>Wildfire severity is increasing in the western United States. Simultaneously, many recognize that fire is a natural process and advocate for learning to live with fire. Indeed, the <em>naturalness</em> of fire can be an important reason provided to increase the amount of fire on a landscape. However, “naturalness” can be interpreted in incommensurate ways, such as the historic range of variability of a system or the absence of human influence. What makes wildfires feel natural or unnatural to the people who experience them, and how naturalness affects reactions to wildfires is underexplored. Using social representations theory, we examine the 2023 Lookout Fire at the H. J. Andrews Experimental Forest (HJA). We use semi-structured interviews (n = 40) to explore how the research community associated with the HJA mentally constructs and uses naturalness to emotionally process and make meaning from the wildfire. We find even in a community with advanced training in ecology, respondents use a variety of metrics to determine naturalness, including ignition source, fire behavior, and pre-fire landscape characteristics and fire history. Respondents consider a variety of factors, and there was not consensus on whether the Lookout Fire was a “natural” fire. In general, respondents who described the fire as more natural were able to come to a state of acceptance and excitement for future research opportunities sooner than respondents who described the fire as largely unnatural. This has important implications for wildfire risk communication for scientists and practitioners who want to restore fire as a <em>natural</em> process. While fires perceived (or framed) as natural may be more readily accepted, fires perceived as unnatural may take longer to process. Fires perceived as human-caused and especially as climate-exacerbated may be the most difficult for people to process after and during the fire, and may have the most resistance for being managed for purposes other than full suppression.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125467"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859531","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":"Multiscale investigation of hydrate pore habits and microscopic seepage mechanisms for optimizing CO2 storage in high-porosity sediments","authors":"Chao Lyu ,&nbsp;Wenyu Lyu ,&nbsp;Qiang Sun ,&nbsp;Yongping Wu ,&nbsp;Panshi Xie ,&nbsp;Guoliang Li ,&nbsp;Hailiang Jia ,&nbsp;Yun Wu","doi":"10.1016/j.jenvman.2025.125513","DOIUrl":"10.1016/j.jenvman.2025.125513","url":null,"abstract":"<div><div>Hydrate-based CO₂ storage (HBCS) has emerged as a promising approach within carbon capture and storage (CCS) technologies, offering a potential pathway for mitigating CO₂ emissions. The permeability of hydrate-bearing sediments (HBSs) is crucial for predicting the feasibility of HBCS, yet the seepage mechanisms become quite complex during the formation or dissociation of hydrates. The objective of this paper is to investigate the hydrate pore habits and the evolution of key physical properties at both macroscopic and microscopic scales, utilizing an integrated set of methodologies such as CT scan, nuclear magnetic resonance and ultrasonic pulse methods, and present a theoretical equation that correlates P-wave velocity with permeability for HBSs. The results indicate that the theoretical equation effectively explains the correlation between P-wave velocity and permeability. Formations with a lower initial water saturation and a higher proportion of type Ⅱ pores (ranging from 0.1 to 200 μm) were found to promote high-efficiency CO₂ storage. During CO₂ hydrate formation, the pore structure becomes progressively more complex, and hydrates are initially formed in the pore center at saturations around 0–10 %. The occurrence pattern transitions from a pore-filling pattern to a grain-coating pattern as hydrate saturation increases. The theoretical equation relating P-wave velocity to permeability is useful for assessing the permeability of HBSs. These findings provide valuable insights into HBCS in porous media and contribute to the selection of potential CO₂ storage sites.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125513"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859532","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":"Deep learning-based spatial optimization of green and cool roof implementation for urban heat mitigation","authors":"JiHyun Kim ,&nbsp;Suyeon Choi ,&nbsp;Mahdi Panahi ,&nbsp;Dan Li ,&nbsp;Yeonjoo Kim","doi":"10.1016/j.jenvman.2025.125398","DOIUrl":"10.1016/j.jenvman.2025.125398","url":null,"abstract":"<div><div>Intensifying urban heat extremes require efficient mitigation strategies; therefore, we propose a methodological framework for optimizing the implementation of urban green and cool roofs to reduce heat stress while maximizing their cost-effectiveness. In particular, we develop a surrogate model based on the deep learning algorithm Multi-ResNet, which is trained on data generated by the physically-based Weather Research and Forecasting model coupled with an urban canopy model (WRF-UCM). We applied this framework to the Greater Seoul region under the SSP585 climate scenario for 2090–2099 with projected 2100 land cover and evaluated 262,144 scenarios for cool and green roof allocation across 379 urban grids. Our results showed that, at the current cost of green roofs, the Pareto optimal scenario involves implementing cool roofs over 89.2 % of urban areas. This scenario would reduce the total effective heat stress index by 8.8 % compared to the business-as-usual scenario while decreasing costs by 19.6 %. We identified an optimal cost range of 117.4–146.1 $/m over 40 years for green roofs to become cost-effective and more widely adopted. Our approach demonstrates the potential of deep learning techniques to provide efficient quantitative assessments with lower computational demands (from 3561 h with the WRF-UCM to 72 h), potentially supporting climate-resilient urban building planning.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125398"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859642","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":"Correlations between catchment-scale farm infrastructure densities and stocking rate to stream nutrient concentrations in dairy-dominant catchments","authors":"Jonah Lee Bas ,&nbsp;Andrew W. Western ,&nbsp;Robert Sargent ,&nbsp;Wei Wen Wong ,&nbsp;Perran Cook ,&nbsp;Anna Lintern","doi":"10.1016/j.jenvman.2025.125431","DOIUrl":"10.1016/j.jenvman.2025.125431","url":null,"abstract":"<div><div>Nitrogen and phosphorus pollution is a critical environmental issue that causes eutrophication of water bodies. High concentrations of these nutrients primarily come from agricultural areas and are driven by catchment characteristics such as climate, hydrology, topography, geology, land use, and land cover. In addition to these factors, specific farming practices – particularly, the use of dairy farm infrastructure and management of stocking rate – also influence stream nutrient concentrations. However, the extent of the influence of specific farming practices and their relative importance in determining nutrient concentrations in waterways remain unknown. In this paper, we used data from an agriculturally-intensive dairy farming region to investigate these relationships. We used statistical analyses and modelling to determine relationships between concentrations of ammonium (NH₄⁺), filterable reactive phosphorus (FRP), nitrogen oxides (NOx), total phosphorus (TP), and total nitrogen (TN) with 26 predictors which include farm infrastructure density and stocking rate. We found that farm infrastructure and operational characteristics such as effluent pond density, dairy shed density, and stocking rate are consistently important predictors that influence concentrations of NH₄⁺, FRP, NOx, TP, and TN during both wet and dry weather periods. This paper has shown that in addition to established factors such as land use and land cover, specific farming practices also play a role in influencing stream nutrient concentrations. By identifying key infrastructure and stocking rate as drivers of stream nutrient concentrations, this research emphasized the need for targeted management strategies to mitigate the impacts of agricultural activities on water quality.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125431"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864390","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":"Responsible battery disposal management practices: An investigation in the electric vehicle industry from a circular economy perspective","authors":"A.S. Balakrishnan ,&nbsp;Ramakrishnan Ramanathan ,&nbsp;Usha Ramanathan ,&nbsp;Ramakrishna (Ramki) Srinivasan","doi":"10.1016/j.jenvman.2025.125488","DOIUrl":"10.1016/j.jenvman.2025.125488","url":null,"abstract":"<div><div>Global efforts to transition to electric vehicles (EV) for net-zero emissions have necessitated a focus on sustainable battery management. Despite the rapid growth of the EV industry, research on circular economy (CE) managerial approaches to battery disposal remains limited. This study addresses this gap by examining the current EV battery technology practices through the lens of the ReSOLVE framework. As this is an exploratory study, we have employed a qualitative methodology, gathering data from EV practitioners, OEMs, suppliers, logistics providers, and recyclers in the US, Europe, and China, augmented by additional literature reviews. Our analysis has revealed process and competency gaps in current battery disposal practices. We have developed a conceptual ReSOLVE framework specific to EV battery disposal, demonstrating a strong link between CE motivations, CE-enabling business practices, CE design systems, and business performance. Based on our analysis, we have suggested that new managerial procedures for handling rejected batteries and enhanced inter-organizational relationships are vital for CE implementation. We have proposed that CE motivations drive responsible business practices and CE-enabling design systems, which in turn improve business and sustainability performance in the EV and LIB industry. These results emphasize the importance of a holistic, CE-driven management approach to EV battery disposal.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125488"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864261","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":"A sustainable industrial waste control with AI for predicting CO2 for climate change monitoring","authors":"Yizhong Lin ,&nbsp;Nurul Aida Osman ,&nbsp;Shirley Tang ,&nbsp;Mohammad Nazir Ahmad ,&nbsp;Riza Sulaiman ,&nbsp;Ying Zhang ,&nbsp;Jing Su","doi":"10.1016/j.jenvman.2025.125338","DOIUrl":"10.1016/j.jenvman.2025.125338","url":null,"abstract":"<div><div>As the challenge of climate change continues to grow, we need creative solutions to predict better and track industrial waste carbon emissions, focusing on sustainable waste management practices. The present study proposes a state-of-the-art Metaverse framework that puts artificial intelligence into action in predicting carbon emissions using energy use patterns and industrial social factors. At the heart of this framework lies a hybrid deep learning model combining convolutional neural networks and Long-term, short-term memory to model complicated spatial and temporal dependencies inherent in data. Further, gradient-boosting machines have been added to improve predictive performance by modeling the nonlinear relationship and interaction between features. The Metaverse environment enables a dynamic and interactive platform for real-time climate monitoring, allowing users to visualize and analyze the impacts of different energy and socio-economic scenarios on carbon emissions. Instead of traditional models, the Metaverse provides an immersive experience with deep knowledge of complex spatial relationships. This interactive capacity allows users to engage with the data more in an adaptable way. The proposed hybrid model achieves 99.5 % predictive accuracy, <em>R</em>2 = 0.995 for carbon emissions, and 99.2 % <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.992</mn></mrow></math></span> for energy consumption compared to traditional methods. Such high accuracy underlines how effective deep learning techniques are combined with ensemble methods in capturing multifaceted climate data. Therefore, the outcome that brings out this AI-driven Metaverse is a potent tool for policymakers and researchers to make informed decisions to mitigate the impact of climate change. This framework consolidates diverse data sources in an immersing virtual environment, making it a very advanced tool in the climate science landscape by providing a comprehensive solution for predicting and monitoring carbon emissions.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125338"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864391","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":"Rapid start-up of nitrogen and organic matter removal in sequencing batch biofilm reactors treating hypersaline mustard tuber wastewater with autochthonous microorganisms","authors":"Jiale Wang ,&nbsp;Yanbing Pan ,&nbsp;Xin Wen ,&nbsp;Pei Gao ,&nbsp;Jian Zhou","doi":"10.1016/j.jenvman.2025.125490","DOIUrl":"10.1016/j.jenvman.2025.125490","url":null,"abstract":"<div><div>The treatment of hypersaline industrial wastewater (≥50 g NaCl L⁻¹) faces persistent challenges in start-up and nitrogen removal efficiency due to microbial inhibition under extreme salinity. However, leveraging native microbial consortia for rapid system establishment remains underexplored. This study proposed a rapid-start strategy for sequencing batch biofilm reactors (SBBRs) treating hypersaline mustard tuber wastewater (MTWW) through in-situ enrichment of autochthonous microorganisms in MTWW. Five SBBRs, each with distinct inoculation (municipal sludge vs. autochthonous microorganisms) and salinity-increase strategies (direct vs. gradual increase), were systematically compared. Systems acclimated with autochthonous microorganisms achieved start-up within 30 days (Phase Ⅰ:0–30 g NaCl L⁻¹ and Phase Ⅱ: 30–70 g NaCl L⁻¹), with COD and TN removal efficiencies of 82.40 %–92.85 % and 85.72 %–94.68 %, respectively. Notably, rapid-start systems maintained comparable TN and COD removal to gradual acclimation (p &gt; 0.05) despite transient nitrification instability during dissolved oxygen fluctuations (recovered within 5∼6 cycles). The rapid-start reactors demonstrated greater ammonia oxidation activity, driven by the dominance of ammonia-oxidizing archaea (AOA) over bacteria (AOB). Rapid salinity increases selectively enriched halophilic functional bacteria, such as <em>Halomonas</em>, <em>Nitratireductor</em>, <em>Arcobacter</em>, and <em>Phaeodactylibacter</em>, supporting anoxic/aerobic and sulfur-driven autotrophic denitrification processes. Most of the functional microorganisms across all reactors originated directly from the MTWW, confirming the indispensability of autochthonous inoculum. Our findings demonstrate that autochthonous microorganisms in hypersaline MTWW can be directly engineered for rapid system establishment, bypassing lengthy acclimation. This strategy reduces start-up costs and provides a scalable solution for industries requiring immediate hypersaline wastewater treatment capacity.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125490"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859640","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":"Insights into cadmium adsorption characteristics and mechanisms by new granular alginate hydrogels reinforced with biochar: Important role of cation exchange","authors":"Dhirar Ben Salem ,&nbsp;Khemissi Yahiaoui ,&nbsp;Maria Bernardo ,&nbsp;Jose Manuel Gatica ,&nbsp;Abdelkader Ouakouak ,&nbsp;Fouzia Touahra ,&nbsp;Abdelazeem Saad Eltaweil ,&nbsp;Hai Nguyen Tran","doi":"10.1016/j.jenvman.2025.125407","DOIUrl":"10.1016/j.jenvman.2025.125407","url":null,"abstract":"<div><div>Green biochar-alginate composite (BAB) was synthesized by integrating biochar derived from peanut shells (PS700) with Na-alginate using a Ca²⁺ cross-linker. A hydrogel bead (SAB) was prepared using sodium alginate without biochar. The materials were characterized by the SEM–EDS, XRD, FTIR, XPS, TGA–DTG, and BET-analyzer techniques. They were applied as adsorbents to adsorb Cd²⁺ ions from aqueous solutions in batch adsorption experiments. XRD data confirmed that BAB exhibited a crystalline structure, with 2θ peaks corresponding to PS700 (∼24° and 42°) and SAB (∼13°). SEM images suggested PS700 was successfully encapsulated within alginate beads. BAB microsphere had a large specific surface area (353.2 m²/g) and dominant micropore (1.86 nm). Adsorption results indicated the Langmuir maximum adsorption capacities of BAB, SAB, and PS700 were 230.0, 125.6, and 92.3 mg/g. Cation exchange was a primary Cd adsorption mechanism by BAB that was determined by a qualitative study (%Ca decreasing from 2.43% to 1.27% after adsorption) and a quantitative experiment (cation exchange ratio between Ca exchange and Cd adsorption: <em>q</em>_exchanged/<em>q</em>_e = 0.7). The XPS spectrum for C 1s (binding energy peak at ∼282 eV) and Ca 2p (∼348 eV) highlighted that Ca in the Ca–C bond of BAB was remarkably replaced by Cd ions in solution to form the Cd–C bond in the Cd-laden BAB. The O 1s spectrum (peak at ∼532 eV) demonstrated the presence of surface complexation and electron-sharing phenomenon between the ionized carboxyl groups in BAB and Cd. Cd–π interaction was observed at 405.96 eV in the Cd 3d spectrum. Pore filling and van der Waals force played a minor role in adsorption mechanisms. The calculated costs (10⁻³ US$/g) for adsorbing 1 g of cadmium per the maximum adsorption capacity of PS700, SAB, and BAB were 2.69, 18.79–129.8, and 5.72–36.4, respectively. The innovative biochar-reinforced hydrogel beads can be an effective and green material for water treatment.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125407"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864392","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":"Ecological network degradation and conservation prioritization analysis of red-crowned crane habitats: a multi-model approach","authors":"Shu Zhang ,&nbsp;Chao Sun ,&nbsp;Jialin Li ,&nbsp;Yongchao Liu ,&nbsp;Xingru Shen ,&nbsp;Chenwei Zhao","doi":"10.1016/j.jenvman.2025.125458","DOIUrl":"10.1016/j.jenvman.2025.125458","url":null,"abstract":"<div><div>The loss of coastal wetlands and the degradation of their ecological functions have posed a serious threat to the habitats of global migratory waterbirds, particularly the red-crowned cranes (<em>Grus japonensis</em>). Exploring dynamic changes in the habitat of this flagship species is essential for conserving waterbird diversity and improving wetland ecosystem functions. Therefore, using the Yancheng Biosphere Reserve (YBR)—the largest overwintering site for red-crowned cranes along the East Asian-Australasian Flyway—as a case study, we expanded beyond traditional habitat suitability assessments to include ecological networks, establishing a comprehensive evaluation framework. Specifically, we first enhanced the Habitat Suitability Index (HSI) by incorporating a fuzzy analytic hierarchy process based on the habitat preferences of red-crowned cranes. Ecological corridors were then extracted using the Minimum Cumulative Resistance (MCR) model and their importance was prioritized through a combination of gravity models and landscape connectivity indices. Additionally, circuit theory was employed to identify critical stepping stones and delineate key regions for protection. Our results demonstrated that the current ecological network exhibits poor stability and connectivity, characterized by the fragmentation and loss of ecological sources, degradation and breakup of ecological corridors, and increasing risks to stepping stones. Specifically, during 1991–2022, the total area of ecological sources significantly decreased from 1161.98 km² to 221.81 km², and the ecological sources in the southern YBR entirely loss after 2013. Optional low-importance, weak-connectivity corridors largely disappeared, while a few single high-importance, strong-connectivity corridors gradually emerged in their place, as a result of largely decreasing of key ecological corridors from 43 to 15. The proportion of stepping stones associated with natural wetlands decreased from 55.47 % to 38.37 %, accompanied by a reduction in area of the northern YBR. Based on the above analysis, we proposed three categories of conservation areas, aiming to bolster wetland conservation efforts and enhance waterbird biodiversity.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125458"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864492","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":"Microplastic pollution in urban drainage systems discharging into the alpine lakes of Como and Lugano, Italy","authors":"Sara Todeschini ,&nbsp;Chiara Milanese ,&nbsp;María Medina Llamas ,&nbsp;Francesco Visetti ,&nbsp;Sauro Manenti","doi":"10.1016/j.jenvman.2025.125497","DOIUrl":"10.1016/j.jenvman.2025.125497","url":null,"abstract":"<div><div>Urban stormwater outfalls and combined sewer overflows (CSOs) represent major sources of MPs pollution in receiving water bodies. This study presents an experimental and numerical investigation on MPs pollution from combined sewerage systems and wastewater treatment plants (WWTPs) discharging into two alpine lakes in northern Italy. Spatial and temporal trends of MPs concentrations and loads are investigated in the sewerage under dry-weather conditions and during representative rainfall events in the period September 2022–January 2023. The study allows the identification of key factors which contribute to higher MPs emissions. The acquired waste- and storm-water samples (2 L each) were dried and subjected to chemical oxidation with H₂O₂ before optical microscopy and infrared spectroscopy analysis.</div><div>Dry-weather sewerage MPs concentration exhibits an average of 17.6 mg/L and standard deviation of 2.1 mg/L in dry-weather, with slightly higher values for the system with the lower per capita water supply. The daily mass of MPs directed to the treatment in the tourist season (i.e., September) is slightly above 50 % of the average daily mass characterizing the subsequent non-tourist months. Wet-weather MPs concentration is relatively lower (average of 12.9 mg/L, standard deviation of 2.0 mg/L), these values depending on the relative importance of the stormwater flow from the directly drained catchment compared to the flow contribution coming from the upstream pumping stations.</div><div>The outcomes have implications for assessing spatial-temporal exposure of aquatic ecosystems to MPs pollution in urban areas, providing indications on effective management practices and control measures of urban drainage systems against environmental contamination.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125497"},"PeriodicalIF":8.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864264","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}