Jinlong Zhang , Wending Wang , Keyu Zhu , Zhijiong Huang , Li Sheng , Songdi Liao , Xin Yuan , Yanan Hu , Jiangping Liu , Mengxue Tang , Xiaofeng Huang , Jie Li , Zifa Wang , Junyu Zheng
{"title":"The potentials of uncertainty analysis and Bayesian optimization in HONO source modeling diagnosis and improvement","authors":"Jinlong Zhang , Wending Wang , Keyu Zhu , Zhijiong Huang , Li Sheng , Songdi Liao , Xin Yuan , Yanan Hu , Jiangping Liu , Mengxue Tang , Xiaofeng Huang , Jie Li , Zifa Wang , Junyu Zheng","doi":"10.1016/j.envres.2025.121494","DOIUrl":"10.1016/j.envres.2025.121494","url":null,"abstract":"<div><div>Nitrous acid (HONO) plays a critical role in atmospheric chemistry, significantly influencing hydroxyl radical (OH) production and the formation of secondary pollutants. However, current atmospheric chemical transport models (CTMs) still underestimate HONO formation, due to uncertainties in source parameterizations. This study proposed a new framework that combines uncertainty analysis with Bayesian optimization (RFM-BMC) to diagnose and reduce uncertainties in HONO source parameterizations, using the North China Plain (NCP) as a case study. The results show that uncertainties in source parameterizations cause HONO simulation concentrations varying by 8–20 times the baseline values. The primary contributors to uncertainties in HONO simulations include heterogeneous reactions on aerosol (33–59 %) and ground surfaces (18–30 %), vehicle emissions (12–33 %), and nitrate photolysis (26–30 %). By optimizing these parameters using observational data, the accuracy of HONO simulations significantly improves, reducing the normalized mean bias by 59 %. Additionally, this study identifies soil emissions, light-induced NO<sub>2</sub> heterogeneous reactions and underestimated nitrate as important underrepresented HONO sources in CTMs. These sources contribute to the systematic underestimation of HONO concentrations during midday (08:00–14:00). This work provides valuable insights for refining HONO source parameterizations and improving air quality simulations. Furthermore, the RFM-BMC framework can be applied to optimize parameterizations of other atmospheric chemical processes, such as sulfate and secondary organic aerosol formation.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121494"},"PeriodicalIF":7.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741983","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}
Huixia Liu , Bingjie Yu , Zongjiu Sun , Panxing He , Yiqiang Dong , Helong Yang
{"title":"Spatial variability and driving factors of soil pH in the desert grasslands of northern Xinjiang","authors":"Huixia Liu , Bingjie Yu , Zongjiu Sun , Panxing He , Yiqiang Dong , Helong Yang","doi":"10.1016/j.envres.2025.121489","DOIUrl":"10.1016/j.envres.2025.121489","url":null,"abstract":"<div><div>As an important reserve land resource and ecological safety zone, saline-alkali land plays a key role in national food security during the global food crisis. Soil pH is an important indicator of saline-alkali land degradation, and its expansion seriously affects regional food security and sustainable ecosystems. However, limited mechanistic understanding hinders the formulation of land management strategies and affects the storage of soil organic matter. Therefore, identifying the spatial variation of soil properties affected by environmental factors is crucial to promote future agricultural practices. A total of 9405 soil samples (0–100 cm) were collected from 527 sites in the Junggar Basin to measure pH levels. Geostatistical analyses were conducted to elucidate the spatial distribution patterns of pH. Environmental impact pathways were determined through the application of Linear regression (LR), Redundancy analysis (RDA), Random forest(RF), and Structural equation modeling(SEM). The results showed that (1) the mean soil pH in arid desert areas was 8.64, alkaline, with a tendency to increase and then decrease with soil depth (R<sup>2</sup> = 0.82, <em>P</em> < 0.05); sandy and saline deserts were significantly higher than gravelly deserts by a factor of 1.05, and small arbors deserts were significantly higher than shrub deserts by a factor of 1.03 (<em>P</em> < 0.05). (2) The exponential model was the optimal model for soil pH in desert rangeland, which is mainly influenced by structural factors. The study area was completely alkaline, with heavy alkaline sporadically distributed. (3) Different statistical methods all show that monthly precipitation, soil organic carbon density, shrub vegetation cover, and biomass are significant influences on soil pH, and the structural equation model (SEM) clearly showed the direct and indirect pathways of environmental factors on soil pH, with monthly precipitation modifies soil pH changes by regulating vegetation traits and was a key driver of desert soil pH distribution in arid zones. The research results provide a data foundation for formulating effective land management strategies, which can help improve the sustainable development of grasslands in desert areas.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121489"},"PeriodicalIF":7.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tanya Isaac, S. Ranjith, P.K. Latha, Rekha Shanmugam, Vidhya Venugopal
{"title":"Physiological strain in outdoor workers: The hidden danger of high humidity","authors":"Tanya Isaac, S. Ranjith, P.K. Latha, Rekha Shanmugam, Vidhya Venugopal","doi":"10.1016/j.envres.2025.121495","DOIUrl":"10.1016/j.envres.2025.121495","url":null,"abstract":"<div><h3>Introduction</h3><div>Outdoor workers in hot climates face significant heat strain, exacerbated by factors like air temperature and relative humidity (RH). While high temperatures' effects on health are well-documented, RH's critical role in influencing physiological strain is less explored. This study investigates RH's impact on the Physiological Strain Index (PSI) among outdoor workers, aiming to enhance safety in hot, humid conditions.</div></div><div><h3>Methods</h3><div>We conducted a cross-sectional study of 1452 outdoor workers across India (2014–2022), collecting data on air temperature, RH, wet bulb globe temperature (WBGT), and physiological heat strain indicators in the summer and winter. Generalised Linear Mixed Models (GLMM) and Generalised Additive Models (GAM) were utilised to assess RH's influence on PSI, potential non-linear relationships, and a heat-humidity threshold.</div></div><div><h3>Results</h3><div>Crude odds ratios (COR) indicated that workers exposed to high humidity were 2.5 times more likely to experience high PSI (COR = 2.5 [95 % CI: 1.82–3.44]). GLMM results confirmed RH's significant impact on PSI when adjusting for covariates (aOR = 1.6 [95 % CI: 1.24–2.29]). GAM analysis revealed non-linear relationships between air temperature, RH, and PSI. The predictive model derived from the GAM identified a heat-humidity threshold of 32 °C and 60 % RH.</div></div><div><h3>Discussion</h3><div>Elevated PSI under high humidity conditions highlights the need for tailored protective measures, such as hydration strategies and adjusted work-rest cycles, to mitigate physiological strain in hot and humid environments.</div></div><div><h3>Conclusion</h3><div>RH significantly exacerbates PSI among outdoor workers. These findings inform workplace safety guidelines, emphasizing the need for more aggressive heat stress management in high-humidity conditions.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121495"},"PeriodicalIF":7.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746410","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}
Yundong Wu , Bo Xian , Xiaowei Xiang , Fang Fang , Fuhao Chu , Xingkang Deng , Qing Hu , Xiuqiong Sun , Wei Tang , Shaopan Bao , Genbao Li , Tao Fang
{"title":"Identification of key feature variables and prediction of harmful algal blooms in a water diversion lake based on interpretable machine learning","authors":"Yundong Wu , Bo Xian , Xiaowei Xiang , Fang Fang , Fuhao Chu , Xingkang Deng , Qing Hu , Xiuqiong Sun , Wei Tang , Shaopan Bao , Genbao Li , Tao Fang","doi":"10.1016/j.envres.2025.121491","DOIUrl":"10.1016/j.envres.2025.121491","url":null,"abstract":"<div><div>Harmful algal blooms (HABs) as an increasing environmental problem in lakes, and water diversion has become a common and effective strategy for mitigating HABs. Early and accurate identification of the occurrence of HABs in lakes is essential for scientific guidance of water diversion. Furthermore, the inevitable changes of hydrodynamic and water environment in the receiving area during water diversion make it more challenging to identify the important environmental features of HABs. Therefore, we constructed a machine learning modelling framework suitable for predicting HABs with favorable performance in both non-water diversion and water diversion states. In this study, we collected data from three monitoring sites for the years 2008–2020 (non-water diversion period from 2008 to 2013 and water diversion period from 2014 to 2020) as external validations and six sampling sites for the years 2021–2022 (2021 non-water diversion period and 2022 water diversion period) as internal validation. The CatBoost (AUC = 0.948) model fared best performance was obtained by comparing 10 machine learning models for comprehensive HABs prediction analyses in the external cohorts of Yilong Lake, and the 24 features were reduced to obtain the 8 (Including TP, TN and COD<sub>Cr</sub>, etc.) most important environmental features. In addition, the SHapley Additive explanation (SHAP) method was used to interpret this CatBoost model through a global interpretation that describes the whole features of the model and a local interpretation that details how a certain forecast of HABs is made for a single sample via inputting the individual data. The CatBoost interpretable model also performed well in internal validation and the model has been converted into a convenient application for use by the Bureau of Yilong Lake Administration personnel and researchers. Finally, the results of the PLS-PM explains that water diversion indirectly mitigates HABs mainly through diluting nutrient concentrations. Overall, the final model of this study has a good performance and application benefits in predicting HABs during the non-water diversion period and water diversion period of Yilong Lake, which provides a guideline for water diversion. Furthermore, this study also provides a reference for other similar eutrophic lake water diversion strategies.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121491"},"PeriodicalIF":7.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wissanupong Kliengchuay, Bo Wen, Thant Sin Aye, Htoo Wei Aung, San Suwanmanee, Benjawan Tawasupa, Pussdee Laor, Jira Kongpran, Jantana Wongsantichon, Rongbin Xu, Shanshan Li, Masahiro Hashizume, Yuming Guo, Kraichat Tantrakarnapa
{"title":"Effect modification of fine particulate matter (PM<sub>2.5</sub>) related hospital admissions by temperature in Thailand: a nationwide time-series study.","authors":"Wissanupong Kliengchuay, Bo Wen, Thant Sin Aye, Htoo Wei Aung, San Suwanmanee, Benjawan Tawasupa, Pussdee Laor, Jira Kongpran, Jantana Wongsantichon, Rongbin Xu, Shanshan Li, Masahiro Hashizume, Yuming Guo, Kraichat Tantrakarnapa","doi":"10.1016/j.envres.2025.121467","DOIUrl":"https://doi.org/10.1016/j.envres.2025.121467","url":null,"abstract":"<p><strong>Background: </strong>In Thailand, the short-term exposure to particulate matter (PM) has been associated with increased hospital admissions. However, whether ambient temperature would modify this association remains unknown, especially in tropical regions. This study performed with 6 years data aimed to explore the association between short-term exposure to PM<sub>2.5</sub> and hospital admissions related to all cause and specific of diseases from 2013 to 2019.</p><p><strong>Methods: </strong>Daily hospital admissions data were collected from the Ministry of Public Health, Thailand for the period from January 1, 2013 to August 31, 2019. We estimated the association between PM<sub>2.5</sub> and hospital admission using a two-stage meta-analytical strategy. Temperature was categorized into three groups based on the province-specific distribution: low (≤ 25%), moderate (25-75%), and high (> 75%). A strata term between temperature group and PM<sub>2.5</sub> was introduced to test the modification effect of temperature.</p><p><strong>Results: </strong>There were 32,616,600 all-cause inpatient admission for all-cause hospitalization, diabetes, hypertension, ischemic heart disease (IHD), stroke (I60-I69), and chronic obstructive pulmonary disease (COPD) in Thailand during the study period. Each additional 10 μg/m<sup>3</sup> increase in PM<sub>2.5,</sub> the patients in the low temperature group had a relative risk (RR) of all-cause hospital admission of 1.025 (95% CI). This risk was comparatively lower than that of the moderate temperature group, and high temperature group (RR: 1.027; 95% CI). The risk of hospital admission was highest on lag 0 day across all temperature groups and all diseases, and it was highest for the moderate temperature for all diseases except for hypertension.</p><p><strong>Conclusions: </strong>The study suggested that short-term exposure to PM<sub>2.5</sub> increased the risk of all-cause and cause-specific hospital admission, and the risk was higher for moderate and high temperature. In the context of climate change, it is vital to develop strategies to identify and mitigate the health impacts of PM<sub>2.5</sub> and increased temperature.</p>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":" ","pages":"121467"},"PeriodicalIF":7.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750123","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}
Mohamadreza Shakiba , Mehdi Faraji , Shirzad Jouybar , Amin Foroozandeh , Ashkan Bigham , Majid Abdouss , Majid Saidi , Vahid Vatanpour , Rajender S. Varma
{"title":"Advanced nanofibers for water treatment: Unveiling the potential of electrospun polyacrylonitrile membranes","authors":"Mohamadreza Shakiba , Mehdi Faraji , Shirzad Jouybar , Amin Foroozandeh , Ashkan Bigham , Majid Abdouss , Majid Saidi , Vahid Vatanpour , Rajender S. Varma","doi":"10.1016/j.envres.2025.121403","DOIUrl":"10.1016/j.envres.2025.121403","url":null,"abstract":"<div><div>The challenges pertaining to the potable water scarcity and pollution motivates us to envision innovative strategies. Industrial wastewater containing hazardous heavy metals, synthetic dyes, and oil exacerbates the pursuit of clean drinking water. Among the array of available technologies, electrospun nanofiber membranes have garnered attention due to their efficiency, high surface-to-volume ratio, cost-effectiveness, scalability, and multifunctionality. These membranes possess distinct physical and chemical attributes that position them as ideal solutions to water purification challenges. Their versatility enables effective contaminant removal through filtration, adsorption, and chemical interactions. Polyacrylonitrile (PAN) emerges as a frontrunner among electrospun polymers due to its affordability, remarkable physical and chemical characteristics, and the ease of production. Research efforts have been dedicated to the study of electrospun PAN membranes, exploring modifications in terms of the functionalization of PAN molecular chain, incorporation of appropriate nanoparticles, and composition with other functional polymers. Parameters such as functional groups, hydrophilicity, mechanical properties, porosity, pore structure, reusability, sustainability, zeta potential, and operational conditions significantly influence the performance of electrospun PAN membranes in treating the contaminated water. Despite progress, challenges surrounding fouling, toxicity, scalability, selectivity, and production costs ought to be addressed strategically to enhance their practicality and real-world viability. This review comprehensively scrutinizes the current landscape of available electrospun PAN membranes in water treatment encompassing diverse range of synthesized entities and experimental outcomes. Additionally, the review delves into various approaches undertaken to optimize the performance of electrospun PAN membranes while proposing potential strategies to overcome the existing hindrances. By carefully analyzing the parameters that impact the performance of these membranes, this overview offers invaluable guidelines for researchers and engineers, thus empowering them to design tailored electrospun nanofiber membranes for specific water purification applications. As the innovative research continues and strategic efforts address the current challenges, these membranes can play a pivotal role in enhancing water quality, mitigating water scarcity, and contributing to environmental sustainability. The widespread application of electrospun nanofiber membranes in water treatment has the potential to create a lasting positive impact on global water resources and the environment. A dedicated effort towards their implementation will undoubtedly mark a crucial step towards a more sustainable and water-secure future.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121403"},"PeriodicalIF":7.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750115","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}
Mohe Zhang , Jinmao Ma , Wuxuan Du , Yujie Zhou , Siping Pang , Zhengfang Ye
{"title":"A novel environmentally friendly catalyst for the preparation and degradation of DNT in dynamite wastewater: Performance, mechanism and application","authors":"Mohe Zhang , Jinmao Ma , Wuxuan Du , Yujie Zhou , Siping Pang , Zhengfang Ye","doi":"10.1016/j.envres.2025.121488","DOIUrl":"10.1016/j.envres.2025.121488","url":null,"abstract":"<div><div>This study proposes a novel approach to sustainable recycling through the preparation of a JCA<sub>5</sub>Fe@CNs catalyst, which demonstrates excellent performance. The catalyst was synthesized by loading nZVI onto biomass carbon-based precursors using a chemical modification-pyrolysis technique, with discarded date palm as the raw material. The new catalysts were prepared for a wide range of pH conditions and neutral conditions were preferred. The catalyst was able to degrade approximately 80 % of 2,4-Dinitrotoluene (2,4-DNT, 20 mg/L) within 5 min, with a maximum degradation rate constant (k) of 1.42162 min<sup>−1</sup>. Synchrotron radiation and density functional theory (DFT) calculations confirmed that the catalytic performance and stability of nZVI were significantly enhanced when incorporated into date-palm-based biomass carbon carriers. The degradation mechanism of 2,4-DNT was investigated using EPR and quenching experiments, revealing that reactive oxygen species (ROS) generated during the reaction involved both radical and non-radical pathways. HPLC-MS analysis identified several reaction intermediates, and potential degradation pathways for 2,4-DNT were proposed. Finally, a flow wastewater model was constructed to evaluate the catalyst's performance in 2,4-DNT degradation under a flow system, assessing its practical application potential. In conclusion, the JCA<sub>5</sub>Fe@CNs catalyst, prepared using the modification-pyrolysis strategy, shows promising potential for the treatment of challenging organic wastewater.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121488"},"PeriodicalIF":7.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737814","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}
Xueqing Chang , Jonathan Y.S. Leung , Ting Wang , Menghong Hu , Youji Wang
{"title":"Ocean acidification disrupts the energy balance and impairs the health of mussels (Mytilus coruscus) by weakening their trophic interactions with microalgae and intestinal microbiome","authors":"Xueqing Chang , Jonathan Y.S. Leung , Ting Wang , Menghong Hu , Youji Wang","doi":"10.1016/j.envres.2025.121493","DOIUrl":"10.1016/j.envres.2025.121493","url":null,"abstract":"<div><div>Despite extensive research in the last two decades, exploring the potential mechanisms underlying the sensitivity and resistance of marine organisms to ocean acidification is still imperative. Species interactions can play a role in these mechanisms, but the extent to which they modulate organismal responses to ocean acidification remains largely unknown. Here, we investigated how ocean acidification (pH 7.7) affects energy homeostasis and fitness of mussels (<em>Mytilus coruscus</em>) by assessing their physiological responses, intestinal microbiome and nutritional quality of their food (microalgae). Under ocean acidification, the mussels had reduced feeding rates by 34 % and reduced activities of digestive enzymes (pepsin by 39 %, trypsin by 28 % and lipase by 53 %) due to direct exposure to acidified seawater and increased phenol content of microalgae. Richness and diversity of intestinal microbiome (OTU, Chao1 index and Shannon index) were also lowered by ocean acidification, which can undermine nutrient absorption. On the other hand, energy expenditure of mussels increased by 53 % under ocean acidification, which was associated with the upregulation of antioxidant defence (SOD, CAT and GPx activities). Consequently, energy reserves in mussels decreased by 28 %, which were underpinned by the reduction in protein, carbohydrate and lipid contents. Overall, we demonstrate that ocean acidification could disrupt herbivore-algae and host-microbe interactions, thereby lowering the energy balance and impairing the health of marine organisms. This can have ramifications on the population and energy dynamics of marine communities in the acidifying ocean.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121493"},"PeriodicalIF":7.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741978","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}
Keyi Chen , Zhihui Jin , Qing Zhu , Xiaodie Hu , Sijia Tian , Yulin Wang , Yaru Sun , Ming Yuan , Huaiying Yao
{"title":"Impacts of biodegradable microplastics on rhizosphere bacterial communities of Arabidopsis thaliana: Insights into root hair-dependent colonization","authors":"Keyi Chen , Zhihui Jin , Qing Zhu , Xiaodie Hu , Sijia Tian , Yulin Wang , Yaru Sun , Ming Yuan , Huaiying Yao","doi":"10.1016/j.envres.2025.121496","DOIUrl":"10.1016/j.envres.2025.121496","url":null,"abstract":"<div><div>Biodegradable microplastics (MPs) affect plant health by altering rhizosphere microbial communities. Root hairs create a unique niche for diverse microbes, but the effects of biodegradable MPs on root hair-dependent bacterial colonization are unclear, particularly the direct relationship between microbes in the rhizosphere and bulk soil. Here, the effects of polybutylene adipate terephthalate (PBAT) MPs on root hair-dependent bacterial colonization and diversity in the rhizosphere were revealed using an absolute quantitative method and in-situ zymography with two genotypes of <em>Arabidopsis thaliana</em> (long root hair, wild-type, WT and short root hair, <em>rop2-1</em> mutant, ROP). The results showed that rhizosphere enzyme activity hotspots, bacterial diversity, and colonization increased from ROP to WT plants. PBAT MPs reduced root hair-dependent bacterial colonization and β-glucosidase hotspots by 17.1 % and 9.8 %, respectively. Despite increasing bacterial absolute abundance in both rhizosphere and bulk soil, PBAT MPs diminished bacterial community modularity and shifted bacterial life strategies from K- to r-strategy via elevated rRNA (<em>rrn</em>) copy numbers and copiotroph/oligotroph ratio. This study indicated that PBAT MPs decreased root hair-dependent bacterial colonization and diversity in the rhizosphere by altering the microbial life history strategies and increasing copiotrophic abundance. This study explained the effects of PBAT MPs on rhizosphere bacterial colonization and diversity from the perspective of root hairs.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121496"},"PeriodicalIF":7.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741966","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":"Enhanced Basalt Weathering for CO2 Sequestration: Phase Dissolution Rates, Carbon Sequestration Mechanisms and Practical Application","authors":"Xiaowei Tang , Hao Liu , Libing Liao","doi":"10.1016/j.envres.2025.121492","DOIUrl":"10.1016/j.envres.2025.121492","url":null,"abstract":"<div><div>Enhanced rock weathering, particularly using basalt, is a promising method for atmospheric CO<sub>2</sub> reduction. However, the complex mineral phases of basalt and challenges in post-application soil separation hinder experimental determination of phase-specific dissolution rates in real-world settings. This study innovatively combines magnetic separation and XRD-Rietveld full-spectrum fitting to isolate basalt from soil and quantify post-weathering phase changes. The normalized dissolution rates of labradorite, augite, hortonolite, ilmenite, and amorphous phases in soil were determined as 4.33×10<sup>-6</sup>, 3.05×10<sup>-5</sup>, 3.01×10<sup>-5</sup>, 2.48×10<sup>-5</sup>, and 1.73×10<sup>-6</sup> g m<sup>-2</sup> d<sup>-1</sup>, respectively, with a carbon sequestration rate of 9.728 t ha<sup>-1</sup> a<sup>-1</sup>. Weathering dynamics revealed early-stage decomposition of augite, hortonolite, and amorphous phases, while labradorite degraded predominantly in later stages. Dissolved cations either adhered to basalt particles, forming secondary phases (e.g., carbonates), or entered soil through adsorption, mineral formation, or leaching. Key weathering products included zeolite, hornblende, and serpentine. Furthermore, a comprehensive feasibility assessment for China highlighted practical considerations for carbon sequestration, land use, water demand, cost, and energy consumption. These findings underscore the critical role of enhanced basalt weathering in climate change mitigation strategies.</div></div>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":"276 ","pages":"Article 121492"},"PeriodicalIF":7.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741965","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}