工业工程最新文献

{"title":"Evaluation of scale effects in physical modeling of combined ogee and sharp-crested weir flow using a 3D CFD model","authors":"James Zulfan ,&nbsp;Bobby Minola Ginting ,&nbsp;Ravi Anthony Tartandyo","doi":"10.1016/j.wse.2024.11.002","DOIUrl":"10.1016/j.wse.2024.11.002","url":null,"abstract":"<div><div>Research on scale effects on flows over weirs has been conducted on a limited basis, primarily focusing on flows upstream of a single-type weir, such as ogee, broad-crested, and sharp-crested (linear and non-linear) weirs. However, the scale effects downstream of these single-type weirs have not been thoroughly investigated. This study examined the scale effects on flows over a combined weir system consisting of an ogee weir and a sharp-crested weir, both upstream and downstream, utilizing physical modeling at a 1:33.33 scale based on Froude similarity and three-dimensional (3D) computational fluid dynamics (CFD) modeling. The sharp-crested weir in this study was represented by two sluice gates that remain closed and submerged during flood events. The experimental data confirmed that the equivalent discharge coefficients of the combined weir system behaved similarly to those of a sharp-crested weir across various <em>H</em>/<em>P</em> (where <em>H</em> is the total head, and <em>P</em> is the weir height) values. However, scale effects on the discharge rating curve due to surface tension and viscosity could only be minimized when <em>H</em>/<em>P &gt;</em> 0.4, <em>Re</em> &gt; 26 959, and <em>We</em> &gt; 240 (where <em>Re</em> and <em>We</em> are the Reynolds and Weber numbers, respectively), provided that the water depth exceeded 0.042 m above the crest. Additionally, <em>Re</em> greater than 4 × 10⁴ was necessary to minimize scale effects caused by viscosity in flows in the spillway channel and stilling basin (with baffle blocks). The limiting criteria aligned closely with existing literature. This study offers valuable insights for practical applications in hydraulic engineering in the future.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 2","pages":"Pages 225-235"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Degradation of tetracycline in water using hydrogen peroxide activated by soybean residue-derived magnetic biochar","authors":"Van-Truc Nguyen ,&nbsp;Nguyen Duy Dat ,&nbsp;Thi-Giang-Huong Duong ,&nbsp;Viet-Cuong Dinh ,&nbsp;Thi-Dieu-Hien Vo","doi":"10.1016/j.wse.2024.10.001","DOIUrl":"10.1016/j.wse.2024.10.001","url":null,"abstract":"<div><div>Tetracyclines (TCs) are the second most commonly used antibiotics worldwide, utilized in medical treatments and animal husbandry. Although effective against various infectious diseases, TC residues persist in the environment and contribute to the emergence of antibiotic-resistant pathogens, posing significant risks to human health. This study employed the heterogeneous Fenton process to degrade TC using soybean residue-derived magnetic biochar (Fe-SoyB) as the catalyst. The Fe-SoyB sample was characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and superconducting quantum interference device (SQUID) techniques. The effects of key parameters, including pH, H₂O₂ concentration, catalyst dosage, and initial TC concentration, on TC degradation were investigated. The results indicated that the TC removal efficiency decreased with increasing initial TC concentration, while it was improved with higher H₂O₂ concentrations and greater catalyst dosages. The optimal conditions for the Fenton-like process were determined: a pH of 3, a H₂O₂ concentration of 245 mmol/L, an initial TC concentration of 800 mg/L, and a catalyst dosage of 0.75 g/L, achieving a removal efficiency of 90.0% after 150 min. Additionally, the TC removal efficiency of the Fe-SoyB system varied significantly across different water matrices, with 87.1% for deionized water, 78.5% for tap water, and 72.5% for river water. The catalyst demonstrated notable stability, maintaining a TC removal efficiency of 79.7% after three cycles of use. Overall, Fe-SoyB shows promise as a cost-effective catalyst for the elimination of organic pollutants in aqueous solutions.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 2","pages":"Pages 129-140"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy flow rate equation for river networks","authors":"Sai-yu Yuan ,&nbsp;Jia-wei Lin ,&nbsp;Hong-wu Tang","doi":"10.1016/j.wse.2025.04.003","DOIUrl":"10.1016/j.wse.2025.04.003","url":null,"abstract":"<div><div>Rational allocation of water flow energy in river networks is essential to addressing water-related issues in river network areas. However, current methods of calculating the spatiotemporal distribution of flow energy in river networks lack precision and efficiency. This paper introduces a novel hydrodynamic representation, the energy flow rate, defined as the product of the flow rate and kinetic energy head, to quantify the kinetic energy stored and transported in river networks. A linear equation system for the energy flow rate in a river network has been theoretically derived, enabling rapid calculations under steady flow conditions. A simplified equation is proposed to describe the exponential decay of the energy flow rate, accompanied by potential energy conversion. The coefficients in the linear equation system are determined using control equations at flow confluence and diversion nodes. This study provides foundational insights that can be used to develop new hydrodynamic modeling strategies to regulate water flow energy and achieve coordinated management of water-related issues in river networks.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 2","pages":"Pages 221-224"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation and risk assessment of PCDDs, PCDFs, and dl-PCBs in Chinese mitten crab (Eriocheir sinensis) from the South Dongting lake area, China","authors":"Wei Xiang ,&nbsp;Fuhua Fu ,&nbsp;Xuebo Shang ,&nbsp;Jian Xu ,&nbsp;Fengxiang Yu ,&nbsp;Dengni Lai ,&nbsp;Yang Shan","doi":"10.1016/j.emcon.2025.100521","DOIUrl":"10.1016/j.emcon.2025.100521","url":null,"abstract":"<div><div>Dioxins are among the common persistent organic pollutants in crabs. To clarify the potential risk of dioxins pollution in Chinese mitten crab, eight types of samples were collected in the South Dongting Lake area for the analysis of 17 PCDD/Fs and 12 dl-PCBs. The results indicate that the concentration of Σ PCDD/Fs and Σ dl-PCBs in crabs was between 0.993–10.8 and 35.0–282 pg/g w.w., respectively. The mean WHO-TEQ value of Σ PCDD/Fs in crabs was 0.248 ± 0.205 pg TEQ/g w.w., and the mean WHO-TEQ value of Σ PCDD/Fs + dl-PCBs in crabs was 0.359 ± 0.280 pg TEQ/g w.w. The total toxic equivalent of bottom sediment, surrounding soil, crab brown meat and juvenile crab were relatively high, which were 2.88, 2.67, 1.50 and 1.30 pg TEQ/g w.w., respectively. In the case of 99th percentile, the WHO-TEQ values of Σ PCDD/Fs and Σ PCDD/Fs + dl-PCBs in crab white meat were all within the maximum permitted levels as specified in commission regulation (EU) 2023/915. The <em>HQ</em> values of 99th percentile of Σ PCDD/Fs + dl-PCBs were 0.0783, 0.00703 and 0.0853 for eating brown meat products, eating white meat products and eating whole crabs, respectively. The coordinate points of the samples are connected to the origin by a straight line in the correspondence analysis map. The angle formed by the straight lines of crab brown meat/crab white meat and juvenile crab was acute angle, as did the feed. The angles between the straight line of bottom sediment/surrounding soil and that of other samples were all obtuse angles. In conclusion, although the dioxins of bottom sediment and surrounding soil are obvious, the dioxins of adult crabs are mainly related to that of the juvenile crabs and feed. At present, the intake of dioxins from Chinese mitten crab by Chinese residents is at a safe level because of low annual consumption. It is recommended that adults limit their weekly crab consumption to 1–4 crabs, or only 23.1–105 g of crab brown meat per week, or solely 435–1242 g of crab white meat per week.</div></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":"11 3","pages":"Article 100521"},"PeriodicalIF":5.3,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166753","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":"ADeepWeeD: An adaptive deep learning framework for weed species classification","authors":"Md Geaur Rahman ,&nbsp;Md Anisur Rahman ,&nbsp;Mohammad Zavid Parvez ,&nbsp;Md Anwarul Kaium Patwary ,&nbsp;Tofael Ahamed ,&nbsp;David A. Fleming-Muñoz ,&nbsp;Saad Aloteibi ,&nbsp;Mohammad Ali Moni PhD","doi":"10.1016/j.aiia.2025.04.009","DOIUrl":"10.1016/j.aiia.2025.04.009","url":null,"abstract":"<div><div>Efficient weed management in agricultural fields is essential for attaining optimal crop yields and safeguarding global food security. Every year, farmers worldwide invest significant time, capital, and resources to combat yield losses, approximately USD 75.6 billion, due to weed infestations. Deep Learning (DL) methodologies have been recently implemented to revolutionise agricultural practices, particularly in weed detection and classification. Existing DL-based weed classification techniques, including VGG16 and ResNet50, initially construct a model by implementing the algorithm on a training dataset comprising weed species, subsequently employing the model to identify weed species acquired during training. Given the dynamic nature of crop fields, we argue that existing methods may exhibit suboptimal performance due to two key issues: (i) the unavailability of all training weed species initially, as these species emerge over time, resulting in a progressively expanding training dataset, and (ii) the constrained memory and computational capacity of the system utilised for model development, which hinders the retention of all weed species that manifest over an extended duration. To address the issues, this paper introduces a novel DL-based framework called ADeepWeeD for weed classification that facilitates adaptive (i.e. incremental) learning so that it can handle new weed species by keeping track of historical information. ADeepWeeD is evaluated using two criteria, namely <span><math><msub><mi>F</mi><mn>1</mn></msub></math></span>-Score and classification accuracy, by comparing its performances against four non-incremental and two incremental state-of-the-art methods on three publicly available large datasets. Our experimental results demonstrate that ADeepWeeD outperforms existing techniques used in this study. We believe that our developed model could be used to develop an automation system for weed identification. The code of the proposed method is available on GitHub: <span><span>https://github.com/grahman20/ADeepWeed</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":52814,"journal":{"name":"Artificial Intelligence in Agriculture","volume":"15 4","pages":"Pages 590-609"},"PeriodicalIF":8.2,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of tire microplastics on aerobic granular sludge performance","authors":"Job Oliver Otieno ,&nbsp;Piotr Jachimowicz ,&nbsp;Magdalena Zielińska ,&nbsp;Weronika Irena Mądzielewska ,&nbsp;Agnieszka Cydzik-Kwiatkowska","doi":"10.1016/j.emcon.2025.100513","DOIUrl":"10.1016/j.emcon.2025.100513","url":null,"abstract":"<div><div>Although tire microplastics (TMPs) constitute a substantial portion of microplastic entering wastewater treatment plants, there is a knowledge gap regarding the influence of TMPs on aerobic granular sludge (AGS) systems, which, being more resilient than activated sludge, are becoming increasingly important in modern wastewater treatment. This study investigated the effect of TMPs in wastewater (50, 100, 250, and 500 mg/L) on AGS performance and microbiome. TMPs did not affect organics and phosphorus removal, however, total nitrogen removal was significantly higher (about 9 %) at 500 mg TMPs/L compared to the control. TMPs improved biomass settling, but this was due to TMP accumulation (TMPs comprised over 50 % of biomass at 500 mg TMP/L) rather than improved granulation. The biomass yield coefficient was five times lower at 500 mg TMP/L than in the control. TMPs elevated dehydrogenase activity (free radical generation) and increased the abundance of microbes involved in polyP synthesis and nitrogen metabolism. TMP presence increased the microbiome potential in terms of antibiotic resistance genes (<em>cmd</em> and <em>marR</em>) and the abundance of hydrolases, which degrade rubber-associated ester bonds, and significantly increased the abundance of MP-degraders belonging to genera <em>Ideonella, Rhodobacter</em>, <em>Xanthobacter,</em> and <em>Hydrogenophaga</em>. This study demonstrates that while TMPs in wastewater do not impair nutrient removal by AGS, their accumulation significantly degrades biomass properties, complicating sludge management and disposal. Furthermore, TMPs alter the AGS microbiome's composition and metabolic potential. These findings highlight the importance of integrating AGS systems into urban wastewater treatment, optimizing sludge management strategies, and developing targeted approaches to address the challenges posed by TMPs.</div></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":"11 3","pages":"Article 100513"},"PeriodicalIF":5.3,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147638","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":"Epidemiology of Social Isolation Among Middle-aged and Older Adults in China.","authors":"Lin Zhang, Shu Jing, Xue-Lin Yang, Yu-Ping Wang, Xiao-You Su","doi":"10.3881/j.issn.1000-503X.16657","DOIUrl":"https://doi.org/10.3881/j.issn.1000-503X.16657","url":null,"abstract":"<p><p>Objective To explore the contemporary prevalence,cumulative incidence,distribution characteristics,and correlates of social isolation among middle-aged and older adults aged 45 years and older in China. Methods This study utilized data from the China Health and Retirement Longitudinal Study.Cross-sectional studies with stratified analysis were conducted to investigate the prevalence of social isolation and its age,gender,and regional differences in 2018 and 2020.A cohort study and binary logistic regression models were employed to analyze the cumulative incidence of social isolation and its correlates from 2018 to 2020.Multiple imputation based on chained equations and sensitivity analyses based on complete-case data were employed to ensure the reliability of the analysis. Results In 2018,the weighted prevalence of social isolation among middle-aged and older adults was 16.48%(95%CI=15.67%-17.32%).In 2020,the weighted prevalence of social isolation among middle-aged and older adults was 18.84%(95%CI=17.93%-19.74%).Weighted stratified analyses indicated that the prevalence of social isolation was significantly higher among older adults,individuals residing in rural areas,and females.The weighted cumulative incidence of social isolation during 2018-2020 was 9.24%(95%CI=8.47%-10.02%).The analysis revealed that 34.02%(95%CI=32.85%-35.19%)of middle-aged and older adults exhibited depressive symptoms.Depressive symptoms(OR=1.38,95%CI=1.07-1.78,P=0.013)were significantly associated with an elevated risk of social isolation. Conclusion The study reveals the epidemiology of social isolation among middle-aged and older adults in China,identifying advanced age,female gender,rural residence,and depressive symptoms as key correlates.These findings emphasize the need for early health management strategies to address social isolation in these high-risk populations.</p>","PeriodicalId":6919,"journal":{"name":"中国医学科学院学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144109166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Organophosphorus pollutant degradation in wastewater using the microscale zero-valent iron/O3 process: optimization, performance, and mechanism","authors":"Zhenpeng Cai,&nbsp;Yujia Xiang,&nbsp;Boyi Cong,&nbsp;Yang Liu,&nbsp;Shuai Yang,&nbsp;Ningruo Wang,&nbsp;Heng Zhang,&nbsp;Yuzhong Wang,&nbsp;Bo Lai","doi":"10.1186/s42825-025-00205-w","DOIUrl":"10.1186/s42825-025-00205-w","url":null,"abstract":"","PeriodicalId":640,"journal":{"name":"Journal of Leather Science and Engineering","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://JLSE.SpringerOpen.com/counter/pdf/10.1186/s42825-025-00205-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-scale cross-modal feature fusion and cost-sensitive loss function for differential detection of occluded bagging pears in practical orchards","authors":"Shengli Yan ,&nbsp;Wenhui Hou ,&nbsp;Yuan Rao ,&nbsp;Dan Jiang ,&nbsp;Xiu Jin ,&nbsp;Tan Wang ,&nbsp;Yuwei Wang ,&nbsp;Lu Liu ,&nbsp;Tong Zhang ,&nbsp;Arthur Genis","doi":"10.1016/j.aiia.2025.05.002","DOIUrl":"10.1016/j.aiia.2025.05.002","url":null,"abstract":"<div><div>In practical orchards, the challenges posed by fruit overlapping, branch and leaf occlusion, significantly impede the successful implementation of automated picking, particularly for bagging pears. To address this issue, this paper introduces the multi-scale cross-modal feature fusion and cost-sensitive classification loss function network (MCCNet), specifically designed to accurately detect bagging pears with various occlusion categories. The network designs a dual-stream convolutional neural network as its backbone, enabling the parallel extraction of multi-modal features. Meanwhile, we propose a novel lightweight cross-modal feature fusion method, inspired by enhancing shared features between modalities while extracting specific features from RGB and depth modalities. The cross-modal method enhances the perceptual capabilities of the model by facilitating the fusion of complementary information from multimodal bagging pear image pairs. Furthermore, we optimize the classification loss function by transforming it into a cost-sensitive loss function, aiming to improve detection classification efficiency and reduce instances of missing and false detections during the picking process. Experimental results on a bagging pear dataset demonstrate that our MCCNet achieves mAP0.5 and mAP0.5:0.95 values of 97.3 % and 80.3 %, respectively, representing improvements of 3.6 % and 6.3 % over the classical YOLOv10m model. When benchmarked against several state-of-the-art detection models, our MCCNet network has only 19.5 million parameters while maintaining superior inference speed.</div></div>","PeriodicalId":52814,"journal":{"name":"Artificial Intelligence in Agriculture","volume":"15 4","pages":"Pages 573-589"},"PeriodicalIF":8.2,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-targeted screening and characterization of organic pollutants in wastewater from an industrial park in China","authors":"Xu Tan,&nbsp;Shanwei Sun,&nbsp;Song Hou,&nbsp;Linlin Wu,&nbsp;Yangwei Bai,&nbsp;Hongbo Xi,&nbsp;Jian Xu,&nbsp;Changsheng Guo","doi":"10.1016/j.emcon.2025.100519","DOIUrl":"10.1016/j.emcon.2025.100519","url":null,"abstract":"<div><div>Industrial parks are significant sources of complex water pollution, making it challenging to trace pollutant origins and ensure water quality. This study established a non-targeted screening workflow and compound persistence, mobility, and toxicity (PMT) assessment method to identify and characterize organic pollutants in wastewater from a chemical industrial park in Central China. Among the 255 compounds identified, some aromatic ketones and phthalate esters raised concerns due to their potential health effects. PMT assessment revealed 2 PMT/vPMT (v = very) compounds, 36 potential PMT/vPMT compounds, and 50 potential PT/vPT or PM/vPM compounds. Exposure-discharge modeling indicated the wastewater treatment plant's limited efficiency in treating the predominantly aromatic pollutants. Traceability analysis identified 23 characteristic pollutants from eight enterprises. This study provides valuable insights for identifying unknown compounds, evaluating industrial wastewater discharge standards, and enabling precise management of water pollution in industrial parks.</div></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":"11 3","pages":"Article 100519"},"PeriodicalIF":5.3,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116678","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}