Journal of Environmental Management最新文献

{"title":"Assessing the pressure of agriculture and forestry over carbon flows in South-Central Chile applying the Human Appropriation of Net Primary Production framework","authors":"Steven Hidalgo ,&nbsp;Patricio Neumann","doi":"10.1016/j.jenvman.2025.125994","DOIUrl":"10.1016/j.jenvman.2025.125994","url":null,"abstract":"<div><div>The rising demand for raw materials to meet societal needs has disrupted critical carbon flows that are essential for maintaining the balance of natural ecosystems. The Human Appropriation of Net Primary Production (HANPP) provides a framework to estimate the amount of biomass used by human societies relative to the total biomass available in natural ecosystems. To quantify HANPP, it is necessary to assess two key components: the carbon extracted for food and fiber (NPP_harv) and the carbon lost due to land-use changes (NPP_lluc). This research aims to evaluate the pressure exerted by agricultural and forestry activities on the carbon flows of terrestrial ecosystems in South-Central Chile at the communal level, applying the HANPP framework. Additionally, the study estimates the share of HANPP that is lost to ecosystems and remains unavailable for human use, offering insights into the carbon flows not recovered by the socio-ecological system. The results reveal that agricultural communes exhibit the highest NPP_lluc values, indicating reduced carbon fixation, whereas forestry communes achieve higher NPP_harv values due to increased carbon yields. Overall, the average value of HANPP during agricultural and forestry activity in South-Central Chile was calculated at 82.1 %, with 62.0 % attributed to NPP_harv and 20.1 % to NPP_lluc. Notably, 26.7 % of the total HANPP is unavailable as an energy source for both humans and ecosystems. The findings from this study are intended to support public policies focused on promoting sustainable resource management and mitigating the environmental impacts of human activities.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 125994"},"PeriodicalIF":8.0,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178384","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":"Research on the value assessment methods for natural resource damage on typical uninhabited islands: A case study of an uninhabited island subject to tourism development","authors":"Hai-Yan Wu ,&nbsp;Shi-Feng Fu ,&nbsp;Xiao-Qiong Cai ,&nbsp;Yi-Biao Wu ,&nbsp;Feng-Gui Chen ,&nbsp;Zhi-Xiao Song ,&nbsp;Jian Wu ,&nbsp;Xiang Pan","doi":"10.1016/j.jenvman.2025.126001","DOIUrl":"10.1016/j.jenvman.2025.126001","url":null,"abstract":"<div><div>Approximately 28 % uninhabited islands in China have been developed to varying degrees. Roughly 73 % of them are distributed on vegetated bedrock islands, causing damage of various extents to local natural resources. Ecological restoration of uninhabited islands is an important part of ecological protection that China plans to implement, with one of its preconditions being quantitative assessment of the extent of natural resource damage. Such damage, however, has no established methods to assess its value in China. This study, based on the characteristics and major types of resource damage of uninhabited islands in China, adopts the replacement cost method or market value method, and combined with adjustment coefficient method which taking into account the factors such as resource endowment, location and the degree of damage to the uninhabited islands, to construct a monetized method for assessing the value of natural resource damage. In the case study of a bedrock island that was developed for tourism purpose during 2008–2012, engineering work for reclamation, seawalls, roads and tunnels caused damage with the value of 2,405,900 Yuan to the vegetation, coastline, earth and stone resources. Specifically, continental restoration cost for coastline resource damage was 559,700 Yuan, and with the adjustment coefficient 1.848 considered, island restoration cost was 1,034,200 Yuan. Continental restoration cost for vegetation resource damage was 608,700 Yuan, and the island restoration cost with an adjustment coefficient of 1.32 was 803,400 Yuan. Land value for earth and stone resource damage was 430,000 Yuan, and the island value with an adjustment coefficient of 1.32 was 568,000 Yuan. Around 4 million Yuan use fee for this uninhabited island was paid, relatively low compared to the value of the natural resource damage after the island development. The natural resource damage caused by island development has not received sufficient attention. To compensate for the adverse effects of development on natural resources, in the future island development, it's suggested to assess the natural resource damage as a prerequisite for authorities to approve use of islands. Additionally, detailed ecological restoration plans should be developed according to the type and extent of resource damage, and funds should be earmarked for restoration.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 126001"},"PeriodicalIF":8.0,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178386","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":"Formation mechanism analysis and the prediction for compound flood arising from rainstorm and tide using explainable artificial intelligence","authors":"Chenguang Lai ,&nbsp;Yanghao Liao ,&nbsp;Haijun Yu ,&nbsp;Zhaoli Wang ,&nbsp;Yaoxing Liao ,&nbsp;Bing Yang ,&nbsp;Qiang Niu ,&nbsp;Zezhou Jiang ,&nbsp;Xuefang Li ,&nbsp;Chong-Yu Xu","doi":"10.1016/j.jenvman.2025.125858","DOIUrl":"10.1016/j.jenvman.2025.125858","url":null,"abstract":"<div><div>The compounded effect of heavy rainfall and high tide backwater significantly exacerbate the load on urban drainage systems in coastal cities, leading to an escalating risk of compound flood disasters. The formation mechanism of compound floods is of great complexity, and the research concerning it constitutes a highly challenging subject. While deep learning (DL) techniques have been increasingly applied in flood forecasting, their \"black-box\" nature often obscures the internal decision-making logic, limiting insights into the mechanisms driving compound flooding. To address this, our study proposes an explainable artificial intelligence (XAI) framework, utilizing a Long Short-Term Memory (LSTM) network integrated with a Multi-Head Attention (MHA) mechanism as a surrogate model for urban flood simulation. The SHapley Additive exPlanations (SHAP) method is employed to elucidate the model's decision-making process, uncovering critical driving factors and their interactions in compound flooding scenarios. Results demonstrate that the MHA mechanism enhances the model's ability to capture rainfall-tide interactions, with the LSTM-MHA model outperforming data-driven baseline models and achieving performance slightly below physics-based models, as evidenced by an R² of 0.971, MAE of 0.040 m, and RMSE of 0.065 m. Furthermore, the LSTM-MHA model significantly improves computational efficiency, completing simulations 216 times faster than traditional physics-based models in the study case. SHAP analysis reveals consistent trends across typical scenarios, highlighting the dominant roles of rainfall and tidal factors across spatiotemporal scales and validating the surrogate model's decision-making rationality. By integrating XAI with SHAP, this study enhances both the accuracy and transparency of flood simulations, quantifying the relative contributions and interaction mechanisms of compound variable, and offering new perspectives for analyzing the underlying causes of compound flooding. This approach holds significant potential for developing more robust disaster mitigation systems and strengthening the resilience of coastal cities.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 125858"},"PeriodicalIF":8.0,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185542","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":"Seasonal groundwater variations in the coastal plain under intense human activities: Hydrochemical evolution, quality degradation, and health risk assessment","authors":"Zhibin Li ,&nbsp;Chengpeng Lu ,&nbsp;Yong Zhang ,&nbsp;Xilin Yu ,&nbsp;Qize Gao ,&nbsp;Zhenhuan Yuan ,&nbsp;Chengcheng Wu ,&nbsp;Bo Liu ,&nbsp;Longcang Shu","doi":"10.1016/j.jenvman.2025.126062","DOIUrl":"10.1016/j.jenvman.2025.126062","url":null,"abstract":"<div><div>Coastal regions play an important socio-economic and ecological role, yet the spatio-temporal drivers of groundwater quality remain poorly understood. This study integrates hydrogeochemical analysis, positive matrix factorization, Entropy Water Quality Index, Human Health Risk Assessment, and Monte Carlo Simulation to develop a framework for identify main factors and processes affecting groundwater quality and its spatio-temporal variations in Pinghu City (PHC). Hydrochemical evolution of groundwater driven by water-rock interactions, evaporation, and ion exchange. Over 65 % of groundwater samples are classified as “good” or better, with TDS, Na⁺, Cl⁻, NO₃⁻ and As significantly impact groundwater quality. Seawater intrusion severely affects some southwestern sampling points, with EWQI values reaching 150.54–190.97, more than twice the limit. Groundwater degradation is primarily influenced by seawater intrusion, heavy metal pollution, and human activities, collectively explaining up to 60.77 % of quality deterioration. Four key factors identified in the positive matrix factorization: Cr-containing chemical agent discharges (25.88 %), natural sources (29.81 %), industrial sources (26.58 %), agricultural sources (17.73 %). As, Cd, and Cr are identified as the main carcinogenic risk factors, with Factors Ⅰ and Ⅱ contributed 81.31 % of the carcinogenic risk. The carcinogenic risk of As is concentrated in central PHC, while Cd and Cr risks are prevalent in the western and southwestern regions, exhibiting seasonal variations. This study fills a gap in groundwater quality assessments in southeastern China, offering insights into the processes driving groundwater contamination.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 126062"},"PeriodicalIF":8.0,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185629","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":"Graph-based preprocessing and hierarchical clustering for optimal state-wide stream sensor placement in Missouri","authors":"Fahimeh Sharafkhani ,&nbsp;Steven Corns ,&nbsp;Bong-Chul Seo","doi":"10.1016/j.jenvman.2025.125963","DOIUrl":"10.1016/j.jenvman.2025.125963","url":null,"abstract":"<div><div>Strategic sensor placement is essential for effective flood monitoring and data collection. With numerous candidate sites, Missouri's extensive river network presents a challenge in determining optimal locations. Additionally, various factors influence water levels and flooding, making it crucial to identify which variables have the greatest impact to guide sensor placement. Despite significant research on sensor placement in water distribution systems and contamination monitoring, approaches for stream sensor placement remain notably scarce. This study develops a data-driven approach to pinpoint 250 optimal sensor locations across Missouri. Using hierarchical clustering with graph-encoded hydrological data, we analyze stage time-series data from 244 active USGS gages to identify locations with similar magnitudes of stage fluctuations in response to external influences such as precipitation. The similarity in responses is further mapped to underlying hydrological drivers using a decision tree. The most influential features are subsequently used to cluster potential locations, ensuring placement in areas with the highest monitoring value. Despite the advancement in sensor placement methodologies, there is a lack of studies that consider a state-wide implementation. This study leverages graph-based encoding to reduce computational complexity, making it scalable for large geographic areas. While conventional sensor placement methods in water networks and contamination monitoring rely on predefined variables and optimization techniques, this study offers a flexible, data-driven methodology that captures the most significant hydrological features. This approach aims to enhance flood prediction and improves the efficiency of sensor networks.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 125963"},"PeriodicalIF":8.0,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178385","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":"Adding carbon quantum dots to enhance microbial extracellular electron transfer for accelerating aniline degradation in simulated wetlands","authors":"Xingyuan Song,&nbsp;Ruijia Yang,&nbsp;Junwu Yi,&nbsp;Ziyang Zhang,&nbsp;Haohao Mao,&nbsp;Qilin Yu,&nbsp;Zhiqiang Zhao,&nbsp;Yaobin Zhang","doi":"10.1016/j.jenvman.2025.126046","DOIUrl":"10.1016/j.jenvman.2025.126046","url":null,"abstract":"<div><div>Microbial extracellular respiration is relatively weak in natural water systems because of the low electroactivity of environmental media, which limits the production of extracellular respiration-based reactive oxygen species (ROS) and the removal of pollutant. In this study, carbon quantum dots (CDs) were added to a simulated wetland to enhance extracellular respiration and accelerate the microbial oxidation of aniline under intermittent aeration conditions. The results indicated that CDs promoted extracellular electron transfer to increase the production of Fe²⁺ and ROS, and led to a 23.5 % higher aniline removal rate than that of the control group without CD addition. Multiple lines of evidence indicated that CDs bind to microorganisms in wetlands to induce the polarization of respiratory enzymes, thereby enhancing microbial electroactivity and the activity of respiratory chain enzymes. In addition, CDs enhanced proton efflux to form a higher membrane potential for adenosine triphosphate (ATP) production, which facilitated ROS generation. This study demonstrated a simple and efficient approach to enhance microbial extracellular electron transfer for ROS production and remediation of polluted wetlands.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 126046"},"PeriodicalIF":8.0,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185550","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":"High entropy oxide nanoparticles for simultaneous photocatalytic degradation of antibiotics, analgesics, and antiepileptics in real water systems under continuous flow mode","authors":"Shubhasikha Das ,&nbsp;Manisha Sain ,&nbsp;Zahoor Manzoor ,&nbsp;Sudhir Kumar ,&nbsp;Suman Sarkar ,&nbsp;Debabrata Pradhan ,&nbsp;Chandra Sekhar Tiwary ,&nbsp;Shamik Chowdhury","doi":"10.1016/j.jenvman.2025.125975","DOIUrl":"10.1016/j.jenvman.2025.125975","url":null,"abstract":"<div><div>High entropy oxides (HEOs) represent a powerful platform for photocatalytic environmental remediation. In this work, spinel-type (MnFeCoNiCu)_aO_b nanoparticles (NPs) have been synthesized via a multistep yet straightforward approach, and assessed for visible-light photocatalysis of antibiotic residues in the aqueous phase. In batch mode, a maximum degradation efficiency of 99 % and 97 % is achieved for sulfamethoxazole and ofloxacin, respectively, after 90 min of irradiation. More importantly, the end products of the photocatalytic degradation process are unlikely to exert adverse impacts on discharge areas, which is extremely beneficial from an ecological point of view. Furthermore, the possibility of fully recovering the HEO NPs after each photocatalytic run, without any structural degeneration, via magnetic decantation, can reduce the operating cost and complexity of the treatment process. Because of these promising attributes for photocatalytic applications, the practical utility of (MnFeCoNiCu)_aO_b NPs was further evaluated for the treatment of a five-component mixture of antibiotics, analgesics, and antiepileptics in a range of real water matrices under a continuous flow regime. The mean removal efficiencies ranged from 60 % to 80 % in freshwater sources and 45 %–66 % in raw sewage samples. Therefore, the prospect of attaining large-scale remediation of pharmaceutical pollutants with (MnFeCoNiCu)_aO_b NPs appears feasible when integrated with suitable preprocessing schemes to account for the extensive variations in water quality parameters. Overall, this investigation is the ultimate laboratory-scale demonstration of the photocatalytic ability of HEOs to eliminate environmentally persistent pharmaceuticals from the aqueous phase.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 125975"},"PeriodicalIF":8.0,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185628","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 swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism","authors":"Xuan Wu ,&nbsp;Ying Ren ,&nbsp;Weilong Wu ,&nbsp;Xu Yang ,&nbsp;Guorong Yi ,&nbsp;Shunxi Zhou ,&nbsp;Kuok Ho Daniel Tang ,&nbsp;Lvwen Huang ,&nbsp;Ronghua Li","doi":"10.1016/j.jenvman.2025.125995","DOIUrl":"10.1016/j.jenvman.2025.125995","url":null,"abstract":"<div><div>In this study, machine learning was used to optimize the aerobic composting process of swine manure to enhance nitrogen retention and compost maturity in order to meet the demand for high-quality organic fertilizers in sustainable agriculture. In this paper, multidimensional parameter data of swine manure composting were collected, six machine learning models (including CatBoost and XGBoost) were constructed, and the model parameters were optimized by genetic algorithm. Through model interpretation analysis (SHapley Additive exPlanations and Partial Dependency Plots), experimental validation and mechanism study, the significant effects of operating parameters on composting process and nitrogen loss were revealed. The results showed that optimal control of moisture content, compost temperature and aeration could effectively improve compost quality (GI nearly 198 %), reduce NH₃-N and N₂O-N emissions by 35.17 % and 9.70 %, and promote nitrogen conversion by increasing microbial community activity. This approach provides a new way for the efficient resource utilization of agricultural waste, which can help reduce the dependence on chemical fertilizers.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 125995"},"PeriodicalIF":8.0,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167013","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":"Centennial-scale spatiotemporal heterogeneity of ecosystem service interactions: Implications for spatial management","authors":"Liu Yang ,&nbsp;Lunche Wang ,&nbsp;Shuchen Yu ,&nbsp;Qiuhua He ,&nbsp;Xin Dai ,&nbsp;Hongli Xiang ,&nbsp;Yingshuang Li ,&nbsp;Jiankun Du","doi":"10.1016/j.jenvman.2025.125999","DOIUrl":"10.1016/j.jenvman.2025.125999","url":null,"abstract":"<div><div>Over the past century, China has experienced unprecedented land use and land cover changes (LULCC). Centennial-scale evaluation of ecosystem services (ESs) is essential for effective environmental management but remains scarce. A “Landscape Pattern-ESs-Management” framework was developed to quantify the century-scale LULCC impact on ESs and help to make future management policies. Taking Dongting Lake Region as an example, this study focused on water yield, water retention, flood regulation, water purification, soil conservation, and carbon storage. To explore the trade-offs and synergies among these ESs, we employed spearman's correlation, geographically weighted regression, and self-organizing maps clustering algorithm. The results showed that cropland expansion, at the expense of lakes and forests, was the most significant LULCC over the last century, with rapid urbanization becoming prominent after the 1980s. The area of Dongting Lake in the 2020s was less than half of that in the 1900s. While the spatial patterns and distribution of ESs remained relatively stable, their temporal evolution exhibited notable differences. Synergies were primarily observed between water yield, water retention, soil conservation and carbon storage. The boundaries of trade-offs and synergies closely aligned with the 50 m elevation contour. Notably, ESs bundles have significant scale effects. At the grid scale, the FR-WP synergy bundle decreased significantly, mainly in the lake area. At the county scale, the FR-dominated bundle declined, while the WP-dominated bundle increased. Although hilly areas constitute only 35 % of the region, they contribute over 45 % of multiple ESs and experience the most drastic LULCC and ESs bundles transitions. The shrinking of lake and hilly areas underscores the need to prioritize the two regions in future ecosystem management. This study highlights the long-term landscape dynamics under intensive human-nature interactions and provides a transferable method for historical land change detection. It also offers a scientific framework for century-scale environmental evaluation and making sustainable policies.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 125999"},"PeriodicalIF":8.0,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167022","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":"The viability of mildly oxidized microporous carbons for adsorptive removal of gaseous aromatic hydrocarbons in humid air","authors":"Botao Liu ,&nbsp;Mingshen Yu ,&nbsp;Younes Ahmadi ,&nbsp;Ki-Hyun Kim","doi":"10.1016/j.jenvman.2025.125982","DOIUrl":"10.1016/j.jenvman.2025.125982","url":null,"abstract":"<div><div>The adsorption efficacy of commercial activated carbon (AC) toward volatile organic compounds (VOCs) is generally impeded by the presence of moisture under real environmental conditions. To address this limitation, surface modification strategies such as oxidative treatments are employed to enhance the hydrophilicity of AC. In this study, coconut shell–based AC (CSAC) is subjected to mild hydrogen peroxide (H₂O₂) oxidation at 100 and 125 °C, producing samples labeled as CSAC100 and CSAC125, respectively. The oxidized CSAC samples are tested against gaseous benzene (10 ppm) in dry and humid conditions using raw CSAC as reference. Under dry conditions, CSAC100 and CSAC125 exhibit enhanced adsorption capacities (Q₁₀₀_%) of 124.1 and 128.7 mg g⁻¹, respectively relative to CSAC (108.1 mg g⁻¹). At 25% RH, they record the optimal uptake performance in terms of Q₁₀₀_% (135.4/136.9 mg g⁻¹) and partition coefficients (PC₁₀₀_%: 1.73/1.75 mol kg⁻¹ Pa⁻¹). The intraparticle diffusion model confirms that the diffusions of benzene across the oxidized CSACs proceed more favorably at 25% RH than in dry air, supporting their active adsorption of water vapor. Furthermore, the enhanced benzene uptake (e.g., Q₁₀₀_% (mg g⁻¹)) of the oxidized AC samples is evident such as CSAC100 (78.3) and CSAC125 (96.6) relative to untreated CSAC (60.8) at 50% RH. The high adsorption performance of the oxidized CSACs, regardless of the moisture level, can be explained by the presence of additional mesopores with strong hydrophilicity. Overall, this study should provide the practical guidelines to tailor the sorbent properties required for the upscaled production of advanced adsorption systems to operate efficiently in the presence of moisture.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"388 ","pages":"Article 125982"},"PeriodicalIF":8.0,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168769","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}