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Process optimization of anionic dye (Melioderm HF Brown G) removal from aqueous solution utilizing adsorbent prepared from Labeo rohita fishbone 鱼骨吸附剂去除水中阴离子染料的工艺优化
Q3 Environmental Science Pub Date : 2023-09-26 DOI: 10.2166/wpt.2023.147
Md. Arafat Hossain, Plabon Islam Turzo, Md. Saidur Rahman Shakil, Fatema Tuj-Zohra
Abstract In this study, the prepared bio-adsorbents from Labeo rohita fishbones were used to remove the anionic acid dye Melioderm HF (High Fastness) Brown G (MHFB) from the aqueous solution. Scanning electron microscopy (SEM) and Fourier-transform infrared spectroscopy (FTIR) were used to analyze the morphology and chemical composition of fishbone powder (FBP) before and after MHFB dye adsorption. In a batch experiment, factors such as initial dye concentration (100–250 mg/mL), contact time (5–180 min), pH of the solution (2.0–8.0), and the adsorbent dosage (1.0–3.5 g/L) were analyzed for their impact on the dye adsorption process. The batch experiments were studied to evaluate the influence of different operational variables such as pH, adsorbent dosage, contact time, and initial concentration of dye and were found optimum at 2, 2 g/L, 120 min, and 200 ppm, respectively, for maximum dye removal (98.33%) at ambient temperature (298 K). The isotherm models demonstrated that dye molecules were adsorbed heterogeneously in multilayer following the Freundlich isotherm (R2 = 0.9300). The data were fitted for pseudo-second-order kinetics. Thus, L. rohita fishbone could be used as a bio-adsorbent to remove anionic dye from tannery effluents at a minimal cost.
摘要:本研究以罗氏Labeo鱼骨为原料制备生物吸附剂,用于去除阴离子染料Melioderm HF (High -牢度)Brown G (MHFB)。采用扫描电镜(SEM)和傅里叶变换红外光谱(FTIR)对鱼骨粉(FBP)吸附MHFB染料前后的形貌和化学成分进行了分析。通过批量实验,分析了初始染料浓度(100 ~ 250 mg/mL)、接触时间(5 ~ 180 min)、溶液pH(2.0 ~ 8.0)、吸附剂用量(1.0 ~ 3.5 g/L)等因素对染料吸附过程的影响。通过批量实验考察了pH、吸附剂用量、接触时间和染料初始浓度等不同操作变量的影响,发现在常温(298 K)下,2、2 g/L、120 min和200 ppm对染料去除率最高(98.33%)。等温线模型表明,染料分子在多层膜中呈非均匀吸附,符合Freundlich等温线(R2 = 0.9300)。数据拟合为准二级动力学。因此,罗氏乳杆菌鱼骨可以作为生物吸附剂,以最低的成本去除制革废水中的阴离子染料。
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引用次数: 0
Evaluation of drainage water quality for irrigation reuse in Kulfo and Hare irrigation command areas, southern Ethiopia 埃塞俄比亚南部库尔福和黑尔灌溉指挥区用于灌溉再利用的排水水质评价
Q3 Environmental Science Pub Date : 2023-09-25 DOI: 10.2166/wpt.2023.146
Edmealem Temesgen, Guchie Gulie, Destaw Akili
Abstract Water from agricultural drainage systems can be reused when its quality is good or blended with irrigation canal water to overcome the water shortage. The primary goal of this research was to determine the quality of surface drainage water in the Kulifo and Hare irrigation projects for irrigation reuse. Water quality was evaluated in situ and in the laboratory during the irrigation season of 2022. Turbidity, TDS, pH, EC, and DO were analyzed in the field using an Aqua meter. Fifty-seven water samples were collected and analyzed for the major cation (Na+, Ca2+, K+, and Mg2+) and anion (HCO3−, CO32−, Cl−, and SO42−). The result of the drainage water quality index study, according to the water quality index for irrigation purpose reuse, ranged from 47.84 to 84.89. This indicated that the suitability of drainage water reuse for irrigation purposes was categorized as ‘poor to very poor,’ except in Shara community-managed farms. Therefore, to avoid the impact on soil quality for crop production due to the hazard of poor agricultural drainage water for irrigation reuse in the study area, it needs to be treated before being reused for irrigation purposes, except at the Shara irrigation community-managed farm.
农业排水系统的水在水质良好的情况下可以回用或与灌溉渠水混合,以克服水资源短缺的问题。本研究的主要目的是确定Kulifo和Hare灌溉项目地表水的质量,以供灌溉再利用。在2022年灌溉季节,在现场和实验室对水质进行了评估。浊度、TDS、pH、EC和DO在现场使用Aqua计进行分析。收集了57个水样,分析了主要阳离子(Na+、Ca2+、K+和Mg2+)和阴离子(HCO3−、CO32−、Cl−和SO42−)。排水水质指数研究结果表明,按灌溉回用水质指数计算,排水水质指数范围为47.84 ~ 84.89。这表明,除Shara社区管理的农场外,用于灌溉目的的排水回用的适宜性被归类为“差到非常差”。因此,除了Shara灌溉社区管理农场外,为了避免研究区农业排水不良对作物生产土壤质量的影响,需要对其进行处理后再用于灌溉目的。
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引用次数: 0
Deep and machine learning for daily streamflow estimation: a focus on LSTM, RFR and XGBoost 每日流估计的深度和机器学习:关注LSTM, RFR和XGBoost
Q3 Environmental Science Pub Date : 2023-09-22 DOI: 10.2166/wpt.2023.144
Özlem Terzi, Ecir Uğur Küçüksille, Tahsin Baykal, Dilek Taylan
Abstract Estimation accuracy of streamflow values is of great importance in terms of long-term planning of water resources and taking measures against disasters such as drought and flood. The flow formed in a river basin has a complex physical structure that changes depending on the characteristics of the basin (such as topography and vegetation), meteorological factors (such as precipitation, evaporation and infiltration) and human activities. In recent years, deep and machine learning techniques have attracted attention thanks to their powerful learning capabilities and accurate and reliable modeling of these complex and nonlinear processes. In this paper, long short-term memory (LSTM), random forest regression (RFR) and extreme gradient boosting (XGBoost) approaches were applied to estimate daily streamflow values of Göksu River, Turkey. Hyperparameter optimization was realized for deep and machine learning algorithms. The daily flow values between the years 1990–2010 were used and various input parameters were tried in the modeling. Examining the performance (R2, RMSE and MAE) of the models, the XGBoost model having five input parameters provided more appropriate results than other models. The R2 value of the XGBoost model was obtained as 0.871 for the testing set. Also, it is shown that deep and machine learning algorithms are used successfully for streamflow estimation.
摘要流量值的估算精度对水资源的长期规划和采取措施应对旱涝灾害具有重要意义。河流流域内形成的水流具有复杂的物理结构,其变化取决于流域特征(如地形和植被)、气象因素(如降水、蒸发和入渗)以及人类活动。近年来,深度学习和机器学习技术因其强大的学习能力和对这些复杂非线性过程的准确可靠的建模而备受关注。本文采用长短期记忆(LSTM)、随机森林回归(RFR)和极端梯度增强(XGBoost)方法估算了土耳其Göksu河的日流量值。Hyperparameter优化实现深度和机器学习算法。采用1990-2010年的日流量值,并在建模中尝试了各种输入参数。检查性能(R2、RMSE和梅)的模型,XGBoost模型有五个输入参数提供了比其他模型更合适的结果。测试集XGBoost模型的R2值为0.871。此外,还成功地使用了深度和机器学习算法进行流量估计。
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引用次数: 0
Development of a 2D hydrodynamic model for inundation assessment and flood early warning system: a case of depressed Ghed region, India 用于洪水评估和洪水预警系统的二维水动力模型的发展:以印度格德洼地为例
Q3 Environmental Science Pub Date : 2023-09-21 DOI: 10.2166/wpt.2023.145
Nevil K. Trambadia, Dhruvesh P. Patel, Vinodkumar M. Patel, Manoj J. Gundalia
Abstract Ghed region is located in the deep western part of Gujarat state, having the cup shape geometry. The Ozat River begins near the Gir forest's hilly part and moves towards the river mouth near Navi Bandar. The part before the river mouth is called Ghed, near the coastal line. The inundation in this region occurred due to higher coastal line and cup shape geometry with an area of more than 200 km2. This research emphasized early warning of the local community aside from the region during the peak flow condition. The hydrological engineering centre-river analysis system software developed the hydrodynamic model for FEWS (flood early warning system). The model has been validated with observed water depth data at four locations from the river reach area for more precision. In this regard, various statistics have been performed to compare the observed and modelled data. The result depicts the 19 h of leg time available to evacuate the local community. After that, water takes 115 h more time to reach the river mouth due to cup-shaped region filling. This research helps the administration with the decision-making system and establishes new hydraulic structures.
Ghed地区位于古吉拉特邦的西部深处,具有杯状几何形状。奥扎特河发源于吉尔森林的丘陵地带,流向纳维班达尔附近的河口。河口之前的部分叫做盖德,靠近海岸线。该地区由于海岸线较高和面积超过200平方公里的杯状几何形状而发生淹没。本研究强调在洪峰状态下对区域以外的社区进行预警。水文工程中心-河流分析系统软件建立了洪水预警系统的水动力模型。利用河段4个地点的实测水深数据对模型进行了验证,提高了模型的精度。在这方面,已经进行了各种统计来比较观察到的数据和建模的数据。该结果描述了19小时的腿部时间可以疏散当地社区。在此之后,由于杯状区域填充,水到达河口的时间增加了115小时。本研究有助于管理部门制定决策系统,建立新的水工结构。
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引用次数: 0
Lake water quality assessment using spatial interpolation and the development of the WQI on an educational campus, Assam, India 印度阿萨姆邦教育园区湖泊水质空间插值评价及水质指数的发展
Q3 Environmental Science Pub Date : 2023-09-19 DOI: 10.2166/wpt.2023.138
Pritam Talukdar, Tarun Mokenepally, Vihangraj V. Kulkarni
Abstract Monitoring water quality metrics is essential for managing water quality and safeguarding aquatic life. The NIT Silchar Lake has been a place for many aquatic plants and migratory birds. The lake water is typically used on campus for horticultureal purposes. However, the peasants living close to campus use the lake water for drinking during situations like floods or famine. At four separate locations of the lake, the samples were collected for evaluation of seven water quality indicators. Temperature between 22.4 and 30.5 °C and dissolved oxygen concentrations between 8 and 13 mg/l were found, which were optimal conditions for aquatic life. The water quality index (WQI), which gives an overall evaluation of the state of the water quality, was created from the measured values (six parameters). The lake regions that ranged from good to excellent were identified using ‘weighted arithmetic water quality index’ (WAWQI) technique. Further we have compared the WAWQI with another method. A comparative analysis has been done by developing simple codes with the help of python programming language. The inverse distance weighted (IDW) interpolation in GIS was applied for spatial distribution of water quality parameters and WQI.
摘要监测水质指标对管理水质和保护水生生物至关重要。NIT Silchar湖一直是许多水生植物和候鸟的栖息地。湖水通常用于校园园艺。然而,住在学校附近的农民在洪水或饥荒等情况下饮用湖水。在湖泊的四个不同地点收集样本,对七项水质指标进行评价。温度在22.4 ~ 30.5℃之间,溶解氧浓度在8 ~ 13mg /l之间,是水生生物生存的最佳条件。从测量值(6个参数)中创建水质指数(WQI),对水质状况进行综合评价。采用加权算法水质指数(WAWQI)技术对湖区进行了良至优的划分。此外,我们还将WAWQI与另一种方法进行了比较。在python编程语言的帮助下,通过开发简单的代码进行了比较分析。利用地理信息系统中的逆距离加权(IDW)插值方法对水质参数和WQI的空间分布进行了分析。
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引用次数: 0
Bioremediation of heavy metal-contaminated environment: developed strategies and potential use of biosurfactants as chelators 重金属污染环境的生物修复:生物表面活性剂作为螯合剂的发展策略和潜在用途
Q3 Environmental Science Pub Date : 2023-09-12 DOI: 10.2166/wpt.2023.140
Mnif Inès, Salwa Mekki, Ghribi Dhouha
Abstract Heavy metal pollution damages the ecosystems and presents a major problem for public health. Thus, an urgent need was developed to decrease the high levels of heavy metals in the soil and aquatic environments. With this aim, numerous physicochemical strategies were developed. However, they are money-consuming, require the use of energy and chemical additives and can release secondary compounds that can pollute and cause great damage to the environment. Then, biological methods based on the investigation of bacteria, fungi and plants along with their derived secondary active metabolites became the best alternatives. Using plant capacities, different phytoremediation strategies were developed such as phytoextraction, phytovolatilization, rhizofiltration and phytostabilization. Regarding bioremediation, bacterial biosorption of heavy metals, biolixiviation and lagooning offer great potential for their environmental cleaning. Additionally, the use of secondary active metabolites, such as biosurfactants, is well-studied. Generally, they are a class of structurally very varied molecules commonly synthesized by many microorganisms with amphiphilic character. Owing to their anionic charge, they have the capacity to sequestrate heavy metals permitting their elimination. Glycolipids and lipopeptides are among the most recognized biosurfactants with interesting heavy metal chelating properties.
重金属污染危害生态系统,是危害公众健康的重大问题。因此,迫切需要减少土壤和水生环境中高浓度的重金属。为了达到这个目的,许多物理化学策略被开发出来。然而,它们是花钱的,需要使用能源和化学添加剂,并可能释放出污染和对环境造成巨大破坏的二次化合物。因此,基于对细菌、真菌和植物及其衍生的次生活性代谢物的研究的生物学方法成为最佳选择。利用植物的能力,开发了不同的植物修复策略,如植物提取、植物挥发、根茎过滤和植物稳定。在生物修复方面,细菌对重金属的生物吸附、生物溶出和泻湖化等具有很大的环境净化潜力。此外,次生活性代谢物(如生物表面活性剂)的使用也得到了很好的研究。一般来说,它们是一类结构非常多样的分子,通常由许多具有两亲性的微生物合成。由于它们的阴离子电荷,它们具有隔离重金属的能力,从而使重金属得以消除。糖脂和脂肽是最公认的生物表面活性剂之一,具有有趣的重金属螯合特性。
{"title":"Bioremediation of heavy metal-contaminated environment: developed strategies and potential use of biosurfactants as chelators","authors":"Mnif Inès, Salwa Mekki, Ghribi Dhouha","doi":"10.2166/wpt.2023.140","DOIUrl":"https://doi.org/10.2166/wpt.2023.140","url":null,"abstract":"Abstract Heavy metal pollution damages the ecosystems and presents a major problem for public health. Thus, an urgent need was developed to decrease the high levels of heavy metals in the soil and aquatic environments. With this aim, numerous physicochemical strategies were developed. However, they are money-consuming, require the use of energy and chemical additives and can release secondary compounds that can pollute and cause great damage to the environment. Then, biological methods based on the investigation of bacteria, fungi and plants along with their derived secondary active metabolites became the best alternatives. Using plant capacities, different phytoremediation strategies were developed such as phytoextraction, phytovolatilization, rhizofiltration and phytostabilization. Regarding bioremediation, bacterial biosorption of heavy metals, biolixiviation and lagooning offer great potential for their environmental cleaning. Additionally, the use of secondary active metabolites, such as biosurfactants, is well-studied. Generally, they are a class of structurally very varied molecules commonly synthesized by many microorganisms with amphiphilic character. Owing to their anionic charge, they have the capacity to sequestrate heavy metals permitting their elimination. Glycolipids and lipopeptides are among the most recognized biosurfactants with interesting heavy metal chelating properties.","PeriodicalId":23794,"journal":{"name":"Water Practice and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135885251","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}
引用次数: 0
Assessment of solar photocatalytic degradation of textile wastewater by ZnO-based reactors zno基反应器太阳能光催化降解纺织废水的研究
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.2166/wpt.2023.141
Jyoti Chaubey, Vineet Jain, Suresh Kumar Singh, Apoorva Jain, H. Arora
Abstract The present study deals with treating the textile wastewater of Jodhpur city in Rajasthan, India employing a photocatalysis technique. Jodhpur has a number of textile industries and efficient treatment of its effluents has been a major problem in the region. An effort has been made to resolve this issue through this study. A wastewater treatment unit was setup which involved coagulation and flocculation, sand filter, photoreactor, and activated carbon filter processes. ZnO-based semiconductor, coated on galvanized iron (GI) plates, served as a photoreactor. The water quality parameters removal efficiency at the end of each process operation was recorded for different detention periods in the photoreactor. Water quality parameters analyzed were biochemical oxygen demand (BOD), total dissolved solids (TDS), total suspended solids (TSS), and pH. The optimal retention time for the photoreactor was found and the BOD of the wastewater reduced to 25 from 740 mg/l (97% reduction), and TSS from 1,430 to 12 mg/l (99% reduction) for the corresponding retention time. TDS reduction efficiency was 25% and pH changed from 9.2 in raw wastewater to 8.4 in treated wastewater. Results show that the pilot treatment plant was efficient for BOD and TSS removal from the textile wastewater.
摘要本研究采用光催化技术处理印度拉贾斯坦邦焦特布尔市的纺织废水。焦特布尔有许多纺织工业,对其废水的有效处理一直是该地区的一个主要问题。本研究试图解决这一问题。采用混凝、絮凝、砂滤、光反应器、活性炭过滤等工艺流程,建立了污水处理装置。镀锌铁(GI)板上涂覆zno基半导体,用作光反应器。记录了在光反应器中不同停留时间下,每个工艺操作结束时的水质参数去除率。通过对生化需氧量(BOD)、总溶解固体(TDS)、总悬浮固体(TSS)、ph等水质参数的分析,确定了光反应器的最佳停留时间,在相应的停留时间内,废水的BOD由740 mg/l降至25 mg/l(降低97%),TSS由1430 mg/l降至12 mg/l(降低99%)。TDS的还原效率为25%,处理后的废水pH值由原废水的9.2变为8.4。结果表明,中试处理装置对纺织废水中BOD和TSS的去除效果良好。
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引用次数: 0
Modeling of water surface profile in non-prismatic compound channels 非棱柱形复合通道中水面剖面的模拟
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.2166/wpt.2023.142
Vijay Kaushik, Munendra Kumar, Bandita Naik, Abbas Parsaie
Abstract Estimating the water surface elevation of river systems is one of the most complicated tasks in formulating hydraulic models for flood control and floodplain management. Consequently, utilizing simulation models to calibrate and validate the experimental data is crucial. HEC-RAS is used to calibrate and verify the water surface profiles for various converging compound channels in this investigation. Based on experimental data for converging channels (θ = 5°, 9°, and 12.38°), two distinct flow regimes were evaluated for validation. The predicted water surface profiles for two relative depths (β = 0.25 and 0.30) follow the same variational pattern as the experimental findings and are slightly lower than the observed values. The MAPE for the simulated and experimental results is less than 3%, indicating the predicted HEC-RAS value performance and accuracy. Therefore, our findings imply that in the case of non-prismatic rivers, the proposed HEC-RAS models are reliable for predicting water surface profiles with a high generalization capacity and do not exhibit overtraining. However, the results demonstrated that numerous variables impacting the water surface profile should be carefully considered since this would increase the disparities between HEC-RAS and experimental data.
摘要河流水系水面高程的估算是制定洪水控制和河漫滩管理水工模型中最复杂的任务之一。因此,利用仿真模型来校准和验证实验数据至关重要。在本研究中,利用HEC-RAS对各种会聚复合通道的水面剖面进行了标定和验证。基于收敛通道(θ = 5°,9°和12.38°)的实验数据,对两种不同的流动形式进行了评估以验证。两个相对深度(β = 0.25和0.30)的预测水面剖面遵循与实验结果相同的变化模式,且略低于观测值。模拟结果和实验结果的MAPE均小于3%,表明了预测HEC-RAS值的性能和准确性。因此,我们的研究结果表明,在非棱形河流的情况下,所提出的HEC-RAS模型对于预测水面剖面是可靠的,具有很高的泛化能力,并且不会出现过度训练。然而,结果表明,许多影响水面剖面的变量应该仔细考虑,因为这将增加HEC-RAS与实验数据之间的差异。
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引用次数: 0
The role of metallic nickel nanoparticles to remove dispersed oil from produced water in Sudan oil field plant 金属镍纳米颗粒对苏丹油田采出水中分散油的去除作用
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.2166/wpt.2023.139
Sahl Yasin, M. S. Suliman, Abdelhafeez M. A. Mohammed
Abstract In this study, nickel nanoparticles (NiNPs) were synthesized and utilized for removing dispersed oil from oilfield-produced water in Sudan. The synthesis process involved using two concentration of hydrazine as a reducing agent and sodium hydroxide as solvent. Physiochemical characterizations, such as X-ray diffraction (XRD) and transmission electron microscopy (TEM), confirmed the successful preparation of NiNPs. The TEM analysis revealed an average particle size ranging from 70 to 90 nm, with a change in morphology from star-shaped to monodispersed spherical particles. The crystal structure analysis confirmed the face-centered-cubic (FCC) configuration of the NiNPs, validating their structural properties. Significantly, the NiNPs demonstrated an impressive capability to remove oil form produced water, achieving a remarkable efficiency of 98% in eliminating dispersed oil from produced water. The oil removal process followed Freundlich isotherms, as evidenced by the high value of the linear regression coefficient. Additionally, the kinetics of the oil removal process conformed well to the pseudo-second-order model, indicating a rapid reaction. This study successfully demonstrated the efficient removal of dispersed oil from produced water using nickel nanoparticles, which interacted physically with the oil particles. These findings highlight the potential of NiNPs as an effective adsorbent for treating oilfield-produced water and mitigating environmental contamination.
摘要:本研究合成了镍纳米颗粒(NiNPs),并将其用于去除苏丹油田采出水中的分散油。以两种浓度的肼为还原剂,氢氧化钠为溶剂进行合成。物理化学表征,如x射线衍射(XRD)和透射电子显微镜(TEM),证实了NiNPs的成功制备。透射电镜分析显示,颗粒的平均粒径在70 ~ 90 nm之间,形貌由星形变为单分散球形。晶体结构分析证实了NiNPs的面心立方(FCC)结构,验证了它们的结构特性。值得注意的是,NiNPs在去除采出水中的油方面表现出了令人印象深刻的能力,去除采出水中分散的油的效率达到了98%。除油过程遵循Freundlich等温线,线性回归系数较高。此外,除油过程的动力学符合伪二阶模型,表明反应速度快。该研究成功地证明了利用镍纳米颗粒与油颗粒物理相互作用,可以有效地去除采出水中分散的油。这些发现突出了NiNPs作为处理油田采出水和减轻环境污染的有效吸附剂的潜力。
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引用次数: 0
Retraction: Water Practice and Technology 18 (6): 1529–1542: Isotopes and geochemical tools for investigating the source of metal pollution in Uchhali Lake, Abdul Ghaffar, https://doi.org/10.2166/wpt.2023.093 水实践与技术18 (6):1529-1542:Uchhali湖金属污染源的同位素和地球化学工具研究,Abdul Ghaffar, https://doi.org/10.2166/wpt.2023.093
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.2166/wpt.2023.143
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引用次数: 0
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