Environmental Science and Ecotechnology最新文献

{"title":"Aligning regional carbon neutrality pathways with national climate goals: An integrated analytical framework","authors":"Li Zhang ,&nbsp;Mingyu Li ,&nbsp;Zhe Zhang ,&nbsp;Linyan Li ,&nbsp;Jin Yuan ,&nbsp;Shuying Zhu ,&nbsp;Huili Wang ,&nbsp;Min Jia ,&nbsp;Jianhui Ruan ,&nbsp;Lingyun Pang ,&nbsp;Yingying Gu ,&nbsp;Shu Ye ,&nbsp;Xiaojun Chen ,&nbsp;Lirong Zhang ,&nbsp;Bofeng Cai ,&nbsp;Jinnan Wang","doi":"10.1016/j.ese.2025.100571","DOIUrl":"10.1016/j.ese.2025.100571","url":null,"abstract":"<div><div>Under national carbon neutrality targets, energy-producing regions hold significant responsibilities for reducing emissions. Given the diverse economic, industrial, and resource profiles of these regions, tailored strategies are essential for designing regional emission pathways. Currently, a systematic analysis that simultaneously integrates broader national climate objectives and regional heterogeneity is lacking, hindering the formulation of localized roadmaps. To address this gap, we propose an integrated analytical framework combing top-down and bottom-up approaches. It considers macro-level constraints (socio-economic development) and micro-level feasibility (renewable energy potential and forest carbon sinks), incorporating diverse regional characteristics such as resource endowment, energy consumption patterns, and industrial structures. We apply this approach to an energy-producing region in central China. Our analysis highlights the need for a clean energy transition that maintains energy security and meets growing electricity demands. By 2060, wind and solar power are projected to account for 87 % of electricity generation, representing a substantial shift from the current fossil-fuel-dependent structure. Significant reductions in greenhouse gas emissions can be achieved by optimizing the energy structure, enforcing production controls, and deploying advanced technologies across industry, transportation, and buildings. Additionally, enhancing carbon removal strategies will further support emission reduction targets. This framework demonstrates the feasibility of achieving climate objectives in fossil-fuel-dependent regions, providing strategic guidance for integrating regional traits into national decarbonization plans.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100571"},"PeriodicalIF":14.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143934642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Machine learning reveals distinct aquatic organic matter patterns driven by soil erosion types","authors":"Yingxin Shang ,&nbsp;Kaishan Song ,&nbsp;Zhidan Wen ,&nbsp;Fengfa Lai ,&nbsp;Ge Liu ,&nbsp;Hui Tao ,&nbsp;Xiangfei Yu","doi":"10.1016/j.ese.2025.100570","DOIUrl":"10.1016/j.ese.2025.100570","url":null,"abstract":"<div><div>Chromophoric dissolved organic matter (CDOM), characterized by unique optical properties, is an essential indicator for understanding aquatic organic matter dynamics within global carbon cycles. Soil erosion, a major source of CDOM received by lakes, transports terrestrial organic matter to water bodies, altering sources, bioavailability and molecular complexity of CDOM significantly. Yet, the spatial patterns of CDOM in lakes from different soil erosion regions are still unknown. Here, we developed a robust machine learning framework (RMSE_calibration = 0.87 m^-1) to estimate CDOM concentrations in lakes by integrating over 1300 <em>in situ</em> water samples with Landsat 8 OLI surface reflectance data. We then applied this model to map the spatial distribution of CDOM across lakes larger than 0.1 km² in 2020. Our analysis revealed distinct spatial patterns, with mean CDOM absorption coefficients at 355 nm of 3.73 m^-1 in freeze-thaw erosion regions, 6.31 m^-1 in wind erosion regions, and 3.72 m^-1 in hydraulic erosion regions, reflecting significant variations driven by erosion intensity. Two axes of PCA analysis explained over 48 % variations of CDOM for different soil erosion types. Chemical characterization indicated that polycyclic aromatic predominated in wind and hydraulic erosion regions, whereas freeze-thaw erosion regions exhibited higher proportions of peptides and unsaturated aliphatic compounds. This study highlights the crucial connection between terrestrial soil erosion processes and aquatic DOM composition, providing vital insights for evaluating global carbon cycling and carbon storage within inland ecosystems.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100570"},"PeriodicalIF":14.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Redox regulation for sustainable water purification and risk management","authors":"Ai-Jie Wang ,&nbsp;Rui-Feng Yan ,&nbsp;Ke Shi ,&nbsp;Hao-Yi Cheng ,&nbsp;Jing-Long Han ,&nbsp;Bin Liang","doi":"10.1016/j.ese.2025.100563","DOIUrl":"10.1016/j.ese.2025.100563","url":null,"abstract":"<div><div>Sustainable detoxification and advanced treatment of toxic organic pollutants (TOPs) in wastewater are essential for water reclamation and ecosystem security. Although biological treatment is a low-carbon and eco-friendly approach for TOPs degradation, its effectiveness is often limited by the high toxicity and recalcitrance of TOPs. Oxidative and reductive reactions can degrade TOPs according to their intrinsic redox potentials. However, conventional biological or chemical oxidation treatment often fails to efficiently or purposefully cleave key functional groups, which leads to unsatisfactory performance of biological reactions or excessive chemical oxidation costs. This perspective proposes redox regulation as a strategy to moderately catalyse the oxidation or reduction of TOPs and thereby generate low toxicity and increased biodegradable intermediates, which will improve subsequent biological treatment. We summarize strong redox regulation techniques, including advanced oxidation and reduction processes, and weak redox regulation through low-energy electrical potential, along with the corresponding mechanisms and applications. Additionally, we explore the integration of redox regulation with biological treatment, either in a sequential mode or <em>in situ</em>. This study emphasizes the need for future research to focus on targeted and durable catalytic detoxification processes and to optimize balancing the carbon footprint, process control, operational efficiency, and economic feasibility. By integrating chemical reactions with microbial metabolism, redox regulation has the potential to transform wastewater treatment from isolated process optimization to a holistic approach. This perspective advocates for innovation of conventional wastewater detoxification technologies to achieve sustainable water purification and ecological risk control.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100563"},"PeriodicalIF":14.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 life cycle risk assessment of nanopesticides in freshwater","authors":"Mingyan Ke ,&nbsp;Keshuo Zhang ,&nbsp;Andrea L. Hicks ,&nbsp;Fan Wu ,&nbsp;Jing You","doi":"10.1016/j.ese.2025.100565","DOIUrl":"10.1016/j.ese.2025.100565","url":null,"abstract":"<div><div>Conventional ecological risk assessments prioritize downstream anthropogenic impacts, overlooking risks arising from upstream processes involving highly hazardous substances and indirect emissions. This narrow focus obscures high-risk hotspots and renders traditional methodologies ill-suited for evaluating novel chemical entities. Nanopesticides, designed for targeted delivery of pesticidal active ingredients, are increasingly deployed to enhance efficiency, yet their altered environmental fate and transport dynamics may reshape end-of-life risks while their full lifecycle impacts remain uncharacterized. Here, we address this gap using imidacloprid (IMI) and its nano-encapsulated variant (nano-IMI) as case studies. By applying life cycle assessment and integrating the USEtox ecotoxicity model with the nano-specific SimpleBox4Nano framework, we quantify \"cradle-to-gate\" environmental impacts and derive substance-specific ecotoxicity metrics, enabling systematic characterization of end-of-life risks associated with these formulations. Production-stage ecological risks of nano-IMI (4.63 × 10³ CTUe) are approximately four times greater than those for conventional IMI (1.18 × 10³ CTUe). However, end-of-life freshwater ecological risks from nano-IMI emissions (0.012–6.93 × 10⁴ CTUe) are 2–5 orders of magnitude lower compared with IMI (1.59 × 10³–6.13 × 10⁶ CTUe), accounting for rainfall variability, toxicity data selection, fate, and environmental transport scenarios. Under equivalent rainfall conditions, nano-IMI exhibited up to three orders of magnitude lower integrated life-cycle freshwater ecological risks, underscoring its potential as an environmentally preferable alternative to conventional IMI. This research introduces a comprehensive and novel methodology for evaluating engineered nanomaterial alternatives across realistic environmental scenarios, providing essential insights into nanopesticide risk assessment throughout their lifecycle.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100565"},"PeriodicalIF":14.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Emerging technologies for detecting antibiotics in aquaculture wastewater: A critical review","authors":"Xinyu Chang ,&nbsp;Junchi Cui ,&nbsp;Guihua Wang ,&nbsp;Shujuan Meng ,&nbsp;Lingling Chen ,&nbsp;Meng Zhang","doi":"10.1016/j.ese.2025.100572","DOIUrl":"10.1016/j.ese.2025.100572","url":null,"abstract":"<div><div>Antibiotic release and transfer within environmental systems significantly impact ecological stability and human health, posing considerable safety risks. Consequently, accurate and efficient detection methods for antibiotics, particularly within complex environmental matrices, are essential. A growing body of research is focusing on antibiotic pollution in wastewater and other environmental settings. Nevertheless, pervasive matrix interferences in complex water matrices and the inherent limitations of standalone analytical approaches in sensitivity, detection range, and other performance metrics underscore the demand for more robust and versatile detection platforms. Here we show a comprehensive overview and critical assessment of antibiotic contaminants, examining their sources, environmental distribution, and current detection methods. We focus on emerging antibiotic detection technologies, comparing their performance and highlighting suitable application contexts. Furthermore, we discuss fundamental principles and historical advancements in antibiotic detection and analytical methodologies. Finally, we identify significant challenges for antibiotic detection in complex environments, suggest viable strategies for future improvements, and outline promising research directions. This review not only provides essential guidance for advancing environmental antibiotic monitoring but also sheds light on the development of a strategic framework for robust, integrated platforms enabling multiplexed antibiotic monitoring in challenging environmental water matrices.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100572"},"PeriodicalIF":14.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Toward accurate and scalable rainfall estimation using surveillance camera data and a hybrid deep-learning framework","authors":"Fiallos-Salguero Manuel ,&nbsp;Soon-Thiam Khu ,&nbsp;Jingyu Guan ,&nbsp;Mingna Wang","doi":"10.1016/j.ese.2025.100562","DOIUrl":"10.1016/j.ese.2025.100562","url":null,"abstract":"<div><div>Rainfall measurement at high quality and spatiotemporal resolution is essential for urban hydrological modeling and effective stormwater management. However, traditional rainfall measurement methods face limitations regarding spatial coverage, temporal resolution, and data accessibility, particularly in urban settings. Here, we show a novel rainfall estimation framework that leverages surveillance cameras to enhance estimation accuracy and spatiotemporal data coverage. Our hybrid approach consists of two complementary modules: the first employs an image-quality signature technique to detect rain streaks from video frames and selects optimal regions of interest (ROIs). The second module integrates depthwise separable convolution (DSC) layers with gated recurrent units (GRU) in a regression model to accurately estimate rainfall intensity using these ROIs. We evaluate the framework using video data from two locations with distinct rainfall patterns and environmental conditions. The DSC–GRU model achieves high predictive performance, with coefficient of determination (R²) values ranging from 0.89 to 0.93 when validated against rain gauge measurements. Remarkably, the model maintains strong performance during daytime and nighttime conditions, outperforming existing video-based rainfall estimation methods and demonstrating robust adaptability across variable environmental scenarios. The model's lightweight architecture facilitates efficient training and deployment, enabling practical real-time urban rainfall monitoring. This work represents a substantial advancement in rainfall estimation technology, significantly reducing estimation errors and expanding measurement coverage, and provides a practical, low-cost solution for urban hydrological monitoring.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100562"},"PeriodicalIF":14.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Chronic toxicity mechanisms of 6PPD and 6PPD-Quinone in zebrafish","authors":"Fang Jiao ,&nbsp;Yang Zhao ,&nbsp;Qiang Yue ,&nbsp;Qi Wang ,&nbsp;Zhongzhi Li ,&nbsp;Wanjing Lin ,&nbsp;Lingxi Han ,&nbsp;Liangfu Wei","doi":"10.1016/j.ese.2025.100567","DOIUrl":"10.1016/j.ese.2025.100567","url":null,"abstract":"<div><div>N-(1,3-Dimethylbutyl)-N′-phenyl-p-phenylenediamine (6PPD) and its oxidation derivative, 6PPD-quinone (6PPDQ), have been extensively detected in environmental and biological samples, raising significant concerns regarding their chronic aquatic toxicity at environmentally relevant concentrations. However, the underlying mechanisms driving this chronic toxicity remain largely unexplored. Here we show that zebrafish exposed to 6PPD and 6PPDQ exhibit distinct toxicokinetic profiles, with 6PPD preferentially accumulating in the liver and 6PPDQ predominantly targeting the brain. Exposure to both compounds impaired zebrafish growth, induced hepatic damage, and disrupted locomotor behavior. Transcriptomic analysis of liver tissue revealed disturbances in lipid and carbohydrate metabolic pathways in both treatment groups, with distinct differences in gene expression patterns and biochemical responses between 6PPD and 6PPDQ. Specifically, both compounds downregulated peroxisome proliferator-activated receptor gamma (PPARγ) and elevated the expression of pro-inflammatory cytokines (TNF-α and IL-6). Molecular dynamics simulations and surface plasmon resonance experiments further demonstrated that hepatotoxicity was associated with direct binding of these compounds to PPARγ, a critical regulator of lipid metabolism and inflammation. Our findings highlight the hepatotoxic risks of 6PPD and 6PPDQ to aquatic life. Importantly, 6PPDQ exhibited greater toxicity compared to 6PPD, emphasizing an urgent need for targeted environmental controls and regulatory actions to mitigate ecological harm and potential public health consequences.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100567"},"PeriodicalIF":14.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143934636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 pH-responsive production of hydroxyl radical in Fenton process","authors":"Pengyi Wang ,&nbsp;Fan Kang ,&nbsp;Xiangbin Huang ,&nbsp;Zhipeng Luo ,&nbsp;Jing Zou ,&nbsp;Min Yang ,&nbsp;Meng Sun ,&nbsp;Xin Yu ,&nbsp;Huabin Zeng","doi":"10.1016/j.ese.2025.100566","DOIUrl":"10.1016/j.ese.2025.100566","url":null,"abstract":"<div><div>Efficient management of temporal latency and spatial heterogeneity remains a critical challenge in sensor-based pH regulation for smart water management, primarily due to inherent response delays and mass transfer constraints. In oxidation systems with dynamic pH environments, delayed responses can lead to issues such as cyanide release, unwanted side reactions, or pipe damage. To address these challenges, we propose a “pause-then-adjust” control strategy, exploiting the pH-responsive generation of hydroxyl radicals (^•OH) in a modified Fenton reaction system. This system utilizes hydroxylamine as an electron donor and ethylenediaminetetraacetic acid (EDTA) as a stabilizer for iron ions. Within the pH range of 7.0–10.0, the coexistence of [Fe²⁺-EDTA]²⁻ and [Fe³⁺-OH-EDTA]²⁻ complexes facilitates efficient electron transfer, resulting in the selective and sustained production of ^•OH radicals. The inherent pH-responsiveness of this strategy enables rapid and spatially coherent adjustments, offering a robust supplementary method for addressing complex and evolving requirements in advanced water treatment systems.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100566"},"PeriodicalIF":14.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Unlocking the potential of designed microbial consortia: A breakthrough for sustainable waste management and climate resilience","authors":"Ginevra Giangeri ,&nbsp;Stefano Campanaro ,&nbsp;Nikos C. Kyrpides ,&nbsp;Irini Angelidaki","doi":"10.1016/j.ese.2025.100558","DOIUrl":"10.1016/j.ese.2025.100558","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100558"},"PeriodicalIF":14.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Size matters: Anaerobic granules exhibit distinct ecological and physico-chemical gradients across biofilm size","authors":"Anna Trego ,&nbsp;Cristina Morabito ,&nbsp;Isabelle Bourven ,&nbsp;Giles Guibaud ,&nbsp;Vincent O'Flaherty ,&nbsp;Gavin Collins ,&nbsp;Umer Zeeshan Ijaz","doi":"10.1016/j.ese.2025.100561","DOIUrl":"10.1016/j.ese.2025.100561","url":null,"abstract":"<div><div>Anaerobic biological decomposition of organic matter is ubiquitous in Nature wherever anaerobic environments prevail, and is catalysed by hydrolytic, fermentative, acetogenic, methanogenic, and various other groups. It is also harnessed in innovative ways in engineered systems that may rely on small (0.1–4.0 mm), spherical, anaerobic granules. These biofilms are crucial to the operational success of a range of widely applied engineered-ecosystems designed for wastewater treatment. The structure and function of granule microbiomes underpin their utility. Here, granules were separated into ten size fractions (proxies for age), hypothesizing that small granules are ‘young’ and larger ones are ‘old’. Gradients were observed across size in terms of volatile solids, density, settleability, biofilm morphology, methanogenic activity, and profiles of extracellular polymeric substances, suggesting ongoing development of physico-chemical characteristics as granules develop. Short-read amplicon sequencing indicated a negative relationship between granule size and community diversity. Furthermore, as size increased, the methanogenic archaea dominated the microbiome. Small granules were found to harbour a sub-group of highly specific taxa, and the identification of generalists and specialists may point to substantial resilience of the microbiome. The findings of this study indicate opportunities for precision management of wastewater treatment systems. They suggest that size is an important indicator for aggregate utility – size may, indeed, determine many of the characteristics of both the individual-granule microbiomes and the overall function of a wastewater treatment system.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"25 ","pages":"Article 100561"},"PeriodicalIF":14.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}