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Trends of groundwater level and driving factors in Sagar and Satna smart cities in eastern Madhya Pradesh, Central India 印度中央邦东部Sagar和Satna智慧城市地下水位趋势及驱动因素
Pub Date : 2026-03-01 Epub Date: 2025-11-24 DOI: 10.1016/j.clwat.2025.100183
Parvendra Kumar , Rekha Sahu , Rajnandini Gupta , Vikram Sharma , Tripti Jayal , Satya Prakash
Groundwater is a vital freshwater resource supporting livelihoods, agriculture, and ecosystems. However, degrading environment due to climate change and anthropogenic activities e.g. urban expansion and land use/land cover (LULC) dynamics has led towards its depletion. Particularly, conditions are worst at cities which experience both phenomena simultaneously. Therefore, present study investigates groundwater trends in Sagar and Satna smart cities of eastern Madhya Pradesh, Central India; characterized by semi-arid conditions, increasing climate variability and rapid LULC change. The study is based on groundwater data, acquired from the National Water Informatics Center, India. Geo-spatial datasets were utitlized to detect spatial changes in 2015 and 2022, a part of smart city project implementation period. Trends and their magnitude in groundwater levels are assessed through Mann-Kendall & Sen’s Slope, respectively. Additionally, one kilometre buffer zones around wells were created to evaluate the impact of LULC on groundwater level. The results of the study highlight similar groundwater trends in both cities. Annually, two stations in Sagar City showed stable and increasing water levels, while other exhibited steady decline. Although during pre-monsoon season, all stations showed a significant (increasing/decreasing) trend and no trend is reported in monsoon season. Annually, Satna-1 station of Satna city showed groundwater replenishment, while Satna-2 station showed decline in groundwater level. Ramtekri station remained stable at the same time. Geospatial analysis from 2015 to 2022 revealed a rapid urban expansion with built-up areas increasing by 98.29 % (Sagar) and 108.17 % (Satna), accompanied by significant vegetation loss 43.30 % and 72.63 %, respectively. Barren land surged, especially in Satna (196.99 %), while water bodies declined by up to 14.01 %, threatening recharge potential. In addition to LULC dynamics, proximity to lakes, topographic elevation are the primary and the climatic indicators are the secondary key factors influencing groundwater trends. Moreover, ground water stations nearby the surface water bodies and having lower elevation show no trends or replenishment.
地下水是支持生计、农业和生态系统的重要淡水资源。然而,由于气候变化和人为活动(如城市扩张和土地利用/土地覆盖动态)导致的环境退化导致其枯竭。特别是在同时经历这两种现象的城市,情况最糟糕。因此,本研究调查了印度中部中央邦东部Sagar和Satna智能城市的地下水趋势;以半干旱条件、气候变率增加和土地利用储量快速变化为特征。这项研究基于从印度国家水资源信息中心获得的地下水数据。利用地理空间数据集检测2015年和2022年的空间变化,这是智慧城市项目执行期的一部分。地下水水位的变化趋势及其幅度分别通过Mann-Kendall &; Sen 's Slope进行评估。此外,在水井周围建立了一公里的缓冲区,以评估LULC对地下水位的影响。研究结果表明,这两个城市的地下水趋势相似。每年,Sagar市的两个站点的水位稳定并上升,而其他站点的水位则稳步下降。虽然在季风前,所有监测站均有显著的(增加/减少)趋势,但在季风季节则无明显的趋势。每年,Satna市Satna-1站地下水补给,Satna-2站地下水水位下降。与此同时,Ramtekri站保持稳定。2015 - 2022年城市扩张迅速,建成区面积增加98.29 % (Sagar)和108.17 % (Satna),植被损失显著,分别为43.30 %和72.63 %。荒地面积增加,其中以萨特纳地区最多(196.99 %),水体面积减少14.01 %,补给潜力受到威胁。除LULC动态外,邻近湖泊、地形高程是影响地下水趋势的主要因素,气候指标是次要因素。靠近地表水体和海拔较低的地表水站没有变化趋势和补给。
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引用次数: 0
Assessing the adoption of a fully automated groundwater supply system in upland Cebu, Philippines: A mixed-methods study using the hybrid STS-TAM plus framework 评估菲律宾宿务高地全自动地下水供应系统的采用:使用混合STS-TAM加框架的混合方法研究
Pub Date : 2026-03-01 Epub Date: 2025-12-19 DOI: 10.1016/j.clwat.2025.100197
Ray Malonjao , Juvy Malonjao , Jeonel Lumbab , Joecyn Archival , Gerwine Medio , Janice Alivio
This study examines the adoption of a fully automated groundwater supply system implemented in upland Cebu, Philippines, through a mixed-methods approach grounded in the integrated Science and Technology Studies-Technology Acceptance Model (STS–TAM Plus) framework. The framework extends traditional behavioral models by including environmental awareness and government support to capture socio-institutional influences on technology uptake. Quantitative modeling using Structural equation modeling identified Perceived Usefulness, Attitude Toward Technology, and Environmental Awareness as dominant predictors of adoption behavior. Mediation analysis revealed that perceived usefulness influenced behavioral intention primarily through attitudinal and environmental pathways, highlighting the role of psychological and emotional factors in shaping acceptance. Qualitative data from interviews and field observations supported the statistical results, revealing key sociotechnical dynamics such as financial barriers, trust-building, and the need for government support. Triangulation confirmed strong convergence between attitudinal and institutional factors, reinforcing the contextual validity of the model. The findings demonstrate that the successful adoption of fully automated groundwater supply system depends not only on user intention but also on systemic readiness, community participation, and institutional engagement offering actionable insights for designing sustainable, community-responsive water systems in resource-constrained and topographically complex regions.
本研究通过综合科学技术研究-技术接受模型(STS-TAM Plus)框架的混合方法,考察了在菲律宾宿务高地实施的全自动地下水供应系统的采用情况。该框架扩展了传统的行为模型,包括环境意识和政府支持,以捕捉对技术吸收的社会体制影响。使用结构方程模型的定量建模确定了感知有用性、对技术的态度和环境意识是采用行为的主要预测因素。中介分析显示,感知有用性主要通过态度和环境途径影响行为意向,强调了心理和情感因素在接受度形成中的作用。来自访谈和实地观察的定性数据支持了统计结果,揭示了关键的社会技术动态,如财务障碍、信任建立和对政府支持的需求。三角测量证实了态度因素和制度因素之间的强烈趋同,加强了模型的上下文有效性。研究结果表明,全自动地下水供应系统的成功采用不仅取决于用户意愿,还取决于系统准备、社区参与和机构参与,为在资源受限和地形复杂的地区设计可持续的、社区响应的水系统提供了可操作的见解。
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引用次数: 0
Abundance and characteristics of microplastics in stormwater runoff from parking lots and roadways on a university campus 大学校园停车场和道路雨水径流中微塑料的丰度和特征
Pub Date : 2026-03-01 Epub Date: 2026-02-10 DOI: 10.1016/j.clwat.2026.100220
Boluwatife S. Olubusoye , James V. Cizdziel , Ruojia Li , Kendall Wontor , Matthew T. Moore
The release and profile of microplastics (MPs) in surface runoff from parking lots and roadways is poorly understood. Here, we quantified and characterized MPs, excluding tire wear particles, in runoff samples (n = 21) from the drainage outlets of two such areas at the University of Mississippi during two separate rain events. Samples were analyzed using a combination of optical microscopy and Fourier Transform Infrared micro-spectroscopy (µ-FTIR). MP concentrations (particles/L ± 1SE) at the onset of the storm event and after 30 min varied from 128 ± 114–8 ± 4 for the first event, and from 17.3 ± 3–6 ± 2.5 for the second event, respectively. Both rain events demonstrated the first flush phenomenon, where pollutants are readily washed from the surface in the early stages of runoff. Most of the particles (91%) ranged between 30 and 150 µm in size, with 30 µm being the lowest size measured. Irregular particles (fragments) were dominant (50%), followed by spherical particles (32%) and fibers (18%). The top abundant types of MPs detected were acrylonitrile butadiene styrene (12%), polycarbonate (12%), polyurethane (11%), polymethyl methacrylate (10%), polyethylene terephthalate (8%), polyvinyl chloride (7%), ethylene vinyl acetate (6%), ethylene propylene (6%), polyamide (5%) and polyacrylamide (4%). Sources of MPs include plastic litter that has fragmented and road wear particles that can include reflective coatings. Even with limited spatial and temporal sampling, these findings indicate that parking lots and roadways at the investigated sites serve as significant sources of MP pollution in stormwater runoff. Consequently, analogous sites merit examination to better characterize the scope and mechanisms of this environmental input.
人们对停车场和道路径流中微塑料的释放和分布知之甚少。在这里,我们量化和表征了MPs,排除轮胎磨损颗粒,在径流样本(n = 21)中,来自密西西比大学两个这样的地区的排水口,在两个单独的降雨事件中。使用光学显微镜和傅里叶变换红外微光谱(µ-FTIR)对样品进行分析。MP浓度(粒子/ L±1 se)在风暴的爆发事件和 30分钟后变化从128年 ± 114 - 8 ± 4第一事件和从17.3 ± 3 - 6 ±2.5 第二个事件,分别。这两次降雨都显示了第一次冲水现象,在径流的早期阶段,污染物很容易从地表被冲走。大多数颗粒(91%)的尺寸在30到150 µm之间,其中30 µm是测量到的最小尺寸。不规则颗粒(碎片)占主导地位(50%),其次是球形颗粒(32%)和纤维(18%)。检测到的MPs含量最高的类型是丙烯腈-丁二烯-苯乙烯(12%)、聚碳酸酯(12%)、聚氨酯(11%)、聚甲基丙烯酸甲酯(10%)、聚对苯二甲酸乙二醇酯(8%)、聚氯乙烯(7%)、乙烯醋酸乙烯酯(6%)、乙丙烯(6%)、聚酰胺(5%)和聚丙烯酰胺(4%)。MPs的来源包括破碎的塑料垃圾和道路磨损颗粒,其中可能包括反射涂层。即使在有限的时空采样下,这些研究结果表明,被调查地点的停车场和道路是雨水径流中MP污染的重要来源。因此,类似的地点值得检查,以更好地描述这种环境输入的范围和机制。
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引用次数: 0
Design, implementation, and challenges of floating treatment wetlands for wastewater treatment: A review 浮式处理湿地用于污水处理的设计、实施和挑战:综述
Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.clwat.2026.100208
Jayanta Kumar Gogoi , Vrinda K. Kumar , K. Nirmal Das , M. Devasena , Praveena Gangadharan
Rapid population growth has significantly increased the demand for water and land and has contributed to surface water pollution and global warming. These issues can be addressed collectively through floating treatment wetlands (FTWs), which treat water bodies such as lakes, ponds, reservoirs, and stormwater systems without occupying land space. Constructed floating wetlands are a type of surface-flow wetland that generally consists of a floating platform supporting plants, with roots extending into the water. They are designed to treat various wastewaters like stormwater, sewage effluent, eutrophic lakes, streams, industrial wastewater, and tertiary wastewater from agri-food sources. The long fibrous roots either treat wastewater directly or indirectly by promoting microbial biofilm growth in the rhizosphere. With design improvements, FTWs have the potential to enhance water treatment, increase resilience to climate change, provide community benefits, and support biodiversity. Various software and analytical approaches can be used to design and predict the system's optimal treatment efficiency. The integration of technologies such as biofilm carriers, microbial fuel cells, and microbial consortia into FTWs is an emerging area of research. While FTW can reduce pollutant levels, it faces several challenges, including longer setup times, limited or uneven treatment, limited adaptability to seasonal shifts, and scalability and maintenance issues that must be addressed for large-scale use. This review examines FTW's design criteria, modelling tools, treatment mechanisms, obstacles to practical application, emerging innovations, and future innovations.
人口的快速增长大大增加了对水和土地的需求,并造成了地表水污染和全球变暖。这些问题可以通过浮动处理湿地(FTWs)来共同解决,浮动处理湿地在不占用土地空间的情况下处理湖泊、池塘、水库和雨水系统等水体。人工漂浮湿地是一种表流湿地,一般由支撑植物的漂浮平台组成,其根伸入水中。它们被设计用于处理各种废水,如雨水、污水、富营养化湖泊、溪流、工业废水和农业食品来源的三级废水。长纤维根直接或间接地通过促进根际微生物生物膜的生长来处理废水。通过改进设计,FTWs有可能加强水处理,增强对气候变化的适应能力,提供社区效益,并支持生物多样性。可以使用各种软件和分析方法来设计和预测系统的最佳处理效率。将生物膜载体、微生物燃料电池和微生物群落等技术整合到fts中是一个新兴的研究领域。虽然FTW可以降低污染物水平,但它面临着一些挑战,包括设置时间较长,处理有限或不均匀,对季节性变化的适应性有限,以及大规模使用时必须解决的可扩展性和维护问题。本文综述了FTW的设计标准、建模工具、处理机制、实际应用障碍、新兴创新和未来创新。
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引用次数: 0
Enhanced pollutant removal from real petrochemical wastewater by the combination of solar-powered electrocoagulation and plant-based coagulants: Optimization and mechanistic study 太阳能电混凝与植物基混凝剂联合强化石化废水污染物去除:优化与机理研究
Pub Date : 2026-03-01 Epub Date: 2026-02-03 DOI: 10.1016/j.clwat.2026.100217
Reyidan Abuduaini , Zhuo Chen , Ying-Lin He , Ghizlane Achagri , Jincheng Wu , Ümüt Halik , Rimeh Ismail , Peng-Cheng Ma , Abudukeremu Kadier
Petrochemical and petroleum extraction industries are discharging increasing amounts of oily wastewater, posing a serious threat to the ecological environment, water supplies, and human health. Therefore, developing efficient, green technologies for oily wastewater treatment is particularly urgent. Traditional wastewater treatment technologies have limitations in terms of efficiency and cost-effectiveness for treating oily wastewater with low chemical oxygen demand (COD). This study reports a novel hybrid system, combining solar-powered electrocoagulation (SPEC) with natural plant-based coagulants (PBCs), derived from Hami melon seeds, to treat petrochemical wastewater. Using the removal rates of COD, turbidity, color, and suspended solids as evaluation indicators, the effects of factors, including coagulant dosage, pH value, stirring speed, and stirring time, on the treatment efficiency were deeply explored through single-factor experiments. The experimental results show that under the optimized conditions of a coagulant dosage of 5 mg/L, a pH value of 2, a stirring speed of 150 rpm, and a stirring time of 30 min, the coagulation treatment achieves the highest efficiency. Furthermore, the efficiency of the combined SPEC-PBCs was investigated, and the response surface methodology was adopted to optimize the key operating parameters of the coupled system. With the help of the Box-Behnken experimental design and taking the COD removal rate as the response value, the effect of pH, dosage, and stirring speed on the treatment efficiency were systematically studied. The results show that under the optimal conditions of pH= 5, dosage= 3.2 mg/L, and stirring speed= 246 rpm, the COD removal rate is as high as 62.18 %. Moreover, the application of solar energy significantly reduced the dominant operational costs, thereby, enhancing the economic feasibility of the overall process. In conclusion, the obtained results proved that combining both technologies is a feasible approach that paves the way for green growth and ecological balance in treating oily wastewater.
石油化工和石油采掘行业含油废水排放量不断增加,对生态环境、供水和人体健康构成严重威胁。因此,开发高效、绿色的含油废水处理技术显得尤为迫切。传统的污水处理技术在处理低化学需氧量(COD)含油废水的效率和成本效益方面存在局限性。本研究报道了一种新型的混合系统,将太阳能电絮凝(SPEC)与从哈密瓜籽中提取的天然植物基絮凝剂(pbc)相结合,用于处理石化废水。以COD、浊度、色度、悬浮物去除率为评价指标,通过单因素实验,深入探讨混凝剂投加量、pH值、搅拌速度、搅拌时间等因素对处理效果的影响。实验结果表明,在混凝剂投加量为5 mg/L、pH值为2、搅拌速度为150 rpm、搅拌时间为30 min的优化条件下,混凝处理效率最高。在此基础上,研究了SPEC-PBCs组合的效率,并采用响应面法对耦合系统的关键工作参数进行了优化。采用Box-Behnken实验设计,以COD去除率为响应值,系统研究了pH、投加量、搅拌速度对处理效果的影响。结果表明,在pH= 5、投加量= 3.2 mg/L、搅拌速度= 246 rpm的最佳条件下,COD去除率高达62.18 %。此外,太阳能的应用大大降低了主要的运营成本,从而提高了整个过程的经济可行性。综上所述,两种技术相结合是一种可行的方法,为含油废水的绿色生长和生态平衡铺平了道路。
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引用次数: 0
Ecogenomic profiling of spatial variations in sediment microbial communities of a freshwater lake 某淡水湖沉积物微生物群落空间变化的生态基因组分析
Pub Date : 2026-03-01 Epub Date: 2026-01-31 DOI: 10.1016/j.clwat.2026.100214
Surya Balakrishnan , Bharathkumar Rajagopal , Abiraj Velusamy , Lathika Shanmugam , Boobal Rangaswamy
Freshwater lake sediments integrate physicochemical conditions and provide sensitive indicators of spatial variation in microbial community structure. This study investigated sediment bacterial communities from four sites in Singanallur Lake, Coimbatore, using 16S rRNA V3–V4 amplicon sequencing to characterize spatial heterogeneity in sediment microbial communities under uniform seasonal conditions. Across all samples, a total of 44 phyla, 114 classes, 257 orders, 466 families, and 1107 genera were detected, reflecting high taxonomic richness and spatial variability within the lake sediments. The community was dominated by Pseudomonadota, which ranged from 80.9 % in S1–51.8 % in S4, followed by Bacillota, Bacteroidota, and Cyanobacteriota. At the genus level, Caulobacter decreased from 30.6 % in S1–12.5 % in S4, along with notable genera such as Bosea and Phreatobacter. Alpha diversity increased steadily from S1 to S4, with observed OTUs ranging from 1722 to 13,796 and Shannon index values increasing from 5.14 to 8.44. Sequencing coverage ranged from 0.34 to 0.74, indicating incomplete sampling depth and representing a methodological limitation, while Gini coefficients (0.64–0.83) reflected uneven community structures, particularly in S1. Several low-abundance and site-enriched genera, including Akkermansia, Helicobacter, and Candidatus Saccharimonas, showed localized enrichment, indicating site-specific environmental conditions within the lake. Venn diagram analysis showed a core of five shared genera representing 31.3 % of total abundance, while rare and unique taxa exhibited minimal overlap (4.0 % and 3.8 %), highlighting strong spatial differentiation among sampling sites. Heatmap-based multivariate analysis integrating microbial OTU abundance with measured physicochemical water quality parameters and sediment heavy metal concentrations revealed clear associations between microbial assemblages and localized environmental gradients. These patterns indicate that sediment microbial communities respond sensitively to present-day physicochemical heterogeneity within the lake. This study provides a baseline spatial ecogenomic framework for Singanallur Lake and highlights the value of integrating microbial community profiling with water quality and metal measurements for future monitoring and comparative assessments.
淡水湖沉积物综合了理化条件,是微生物群落结构空间变化的敏感指标。本研究利用16S rRNA V3-V4扩增子测序技术,对哥印拜登Singanallur湖4个样点沉积物微生物群落进行了研究,分析了均匀季节条件下沉积物微生物群落的空间异质性。所有样本共检测到114纲257目466科1107属44门,反映了湖泊沉积物的分类丰富度和空间变异性。群落以假单胞菌属为主,s1为80.9 % ~ S4为51.8 %,其次为杆状菌属、拟杆菌属和蓝藻属。在属水平上,Caulobacter从s1的30.6 %下降到S4的12.5 %,Bosea和Phreatobacter等显著属也有所下降。从S1到S4, α多样性稳步增加,otu值在1722 ~ 13796之间,Shannon指数从5.14增加到8.44。测序覆盖范围为0.34 ~ 0.74,表明采样深度不完整,表明方法存在局限性,而基尼系数(0.64 ~ 0.83)反映了群落结构的不均匀,特别是S1。Akkermansia、Helicobacter和Candidatus Saccharimonas等几个低丰度和位点富集的属显示了局部富集,表明了湖泊内特定位点的环境条件。Venn图分析显示,5个共有属占总丰度的31.3 %,而稀有和独特分类群的重叠度最小(4.0 %和3.8 %),显示出强烈的空间分异。基于热图的多变量分析将微生物OTU丰度与测量的理化水质参数和沉积物重金属浓度相结合,揭示了微生物组合与局部环境梯度之间的明确关联。这些模式表明,沉积物微生物群落对当今湖泊内的物理化学异质性反应敏感。该研究为Singanallur湖提供了一个基本的空间生态基因组框架,并强调了将微生物群落分析与水质和金属测量相结合对未来监测和比较评估的价值。
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引用次数: 0
From wells to well-being 从井到幸福
Pub Date : 2026-03-01 Epub Date: 2025-12-17 DOI: 10.1016/j.clwat.2025.100195
Haojie Xu , Qiman Liu
Access to safe drinking water remains a persistent global challenge. This short communication presents a historical analysis of safe water well practices in China, spanning from the Song Dynasty (960–1279 AD) to the modern era. By examining visual documentation, including the painting Along the River During the Qingming Festival and records from the 1930s ‘Dingxian Model’ public health intervention, we identify a recurring, effective feature: the construction of raised well edges to prevent surface contamination. This case study demonstrates that historical practices can offer valuable, low-cost insights for sustainable water management and safety, highlighting the importance of learning from past socio-technical adaptations to address contemporary water security issues.
获得安全饮用水仍然是一项持久的全球挑战。这篇简短的文章介绍了中国从宋朝(公元960-1279年)到现代的安全水井实践的历史分析。通过考察视觉文献,包括《清明上河图》和20世纪30年代“定县模式”公共卫生干预的记录,我们发现了一个反复出现的有效特征:建造凸起的井边以防止表面污染。本案例研究表明,历史实践可以为可持续水管理和安全提供有价值的、低成本的见解,强调了从过去的社会技术适应中学习以解决当代水安全问题的重要性。
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引用次数: 0
Optimization of Fe3O4/TiO2-based biopolymer nanocomposite for heavy metal removal from aqueous solution using artificial neural network modelling and response surface methodology 基于人工神经网络建模和响应面法优化Fe3O4/ tio2基生物聚合物纳米复合材料去除水中重金属
Pub Date : 2026-03-01 Epub Date: 2026-02-11 DOI: 10.1016/j.clwat.2026.100221
Koffi Sossou , Alfred O. Mayabi , Negusse Zeraebruk Kahsay , Charles K. Cheruiyot
This study applied Response Surface Methodology (RSM) and Artificial Neural Network (ANN) modeling to optimize and predict the removal efficiencies of chromium (VI), cadmium (II), and lead (II) ions from aqueous solutions using a Fe3O4/TiO2 banana peel biopolymer nanocomposite. Batch adsorption experiments were conducted using a fixed solution volume of 100 mL and designed according to a Box–Behnken experimental design to investigate the effects of pH, initial metal ion concentration, adsorbent dosage, and contact time. The RSM quadratic model for Cr(VI) (F = 5.91, p = 0.0010; R2 = 0.86) and the linear models for Cd(II) (F = 6.70, p = 0.0005; R² = 0.87) and Pb(II) (F = 2.95, p = 0.0406; R2 = 0.33) were statistically significant, identifying the dominant factors influencing adsorption efficiency. Optimization using the desirability function predicted maximum removal efficiencies of 95.95 % for Cr(VI) at pH 8.4, initial concentration 47.30 mg/L, adsorbent dosage 16.7 g/L, and contact time 56.77 min; and complete removal (100 %) for Cd(II) and Pb(II) at pH 6.5, initial concentration 30 mg/L, adsorbent dosage 15 g/L, and contact time 65 min. The ANN models demonstrated superior predictive performance compared to RSM, with high coefficients of determination (R2 = 0.97, 0.98, and 0.95 for Cr(VI), Cd(II), and Pb(II), respectively) and low prediction errors (RMSE = 0.464–8.88; MAE = 0.375–5.45), effectively capturing nonlinear interactions among process variables. The Fe3O4/TiO2/banana peel nanocomposite exhibited high adsorption efficiency, magnetic recoverability, and strong potential for simultaneous multi-metal removal, while a hybrid RSM–ANN modeling framework provided robust process optimization and accurate predictive capability.
本研究采用响应面法(RSM)和人工神经网络(ANN)建模来优化和预测Fe3O4/TiO2香蕉皮生物聚合物纳米复合材料对水溶液中铬(VI)、镉(II)和铅(II)离子的去除效率。采用Box-Behnken实验设计,采用固定溶液体积100 mL进行批量吸附实验,考察pH、初始金属离子浓度、吸附剂用量、接触时间等因素对吸附效果的影响。对Cr(VI) (F = 5.91, p = 0.0010,R2 = 0.86)和Cd(II) (F = 6.70, p = 0.0005,R²= 0.87)和Pb(II) (F = 2.95, p = 0.0406,R2 = 0.33)的二次曲线模型均具有统计学意义,表明影响吸附效率的主要因素。优选结果表明,在pH 8.4、初始浓度47.30 mg/L、吸附剂用量16.7 g/L、接触时间56.77 min条件下,Cr(VI)的最大去除率为95.95 %;在pH为6.5、初始浓度为30 mg/L、吸附剂投加量为15 g/L、接触时间为65 min的条件下,对Cd(II)和Pb(II)的去除率为100 %。与RSM模型相比,人工神经网络模型具有较高的预测系数(Cr(VI), Cd(II)和Pb(II)分别为R2 = 0.97, 0.98和0.95)和较低的预测误差(RMSE = 0.464-8.88; MAE = 0.375-5.45),有效地捕获了过程变量之间的非线性相互作用。Fe3O4/TiO2/香蕉皮纳米复合材料具有较高的吸附效率、磁性可恢复性和同时去除多种金属的强大潜力,而混合RSM-ANN建模框架提供了稳健的工艺优化和准确的预测能力。
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引用次数: 0
Microbial detoxification of heavy metals in wastewater: Mechanisms, current perspectives and emerging bioremediation strategies 废水中重金属的微生物解毒:机制,目前的观点和新兴的生物修复策略
Pub Date : 2026-03-01 Epub Date: 2026-02-02 DOI: 10.1016/j.clwat.2026.100216
Varsha Bisht , Shruti Singh , Veeranna Channashettar , Nanthakumar Kuppanan , Banwari Lal
The rapid expansion of industrial activities and their consequent discharge into the environment is causing severe threats to ecosystems and public health. Toxic heavy metals such as cadmium, arsenic, copper, chromium, lead, cobalt, and others are of particular concern. It has become a long-term challenge to treat such wastes polluted with these persisting contaminants. They bioaccumulate in food chains and therefore possess harmful effects. Microorganisms serve as effective biological tools for heavy metal removal and detoxification from water and wastewater. The role of microbes in biotransformation of heavy metals into lesser toxic forms has been explored in this review. Bacterial-mediated mechanisms such as biosorption, bioleaching, bioaccumulation, bioprecipitation, and biotransformation involved in the detoxification of heavy metals have been discussed. Biotechnological implication of metal-contaminated waste has been highlighted with reference to use of bioreactor technology, nanobiotechnology, genomics, heavy metal-accumulating plants, and mechanism of metal removal and tolerance in microbes. Understanding these processes further contributes to the development of approaches which are effective yet sustainable in remediating wastewaters contaminated with heavy metals.
工业活动的迅速扩大及其排放到环境中,对生态系统和公众健康造成严重威胁。有毒的重金属,如镉、砷、铜、铬、铅、钴等,尤其值得关注。如何处理这些被持久性污染物污染的废物已成为一项长期挑战。它们在食物链中生物积累,因此具有有害影响。微生物是水和废水中重金属去除和解毒的有效生物工具。本文综述了微生物在重金属转化为毒性较小的形式中的作用。细菌介导的机制,如生物吸附,生物淋滤,生物积累,生物沉淀和生物转化参与重金属的解毒进行了讨论。从生物反应器技术、纳米生物技术、基因组学、重金属富集植物、微生物对金属的去除和耐受机制等方面阐述了金属污染废物的生物技术意义。了解这些过程进一步有助于制定有效而可持续的方法来修复被重金属污染的废水。
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引用次数: 0
Nanotechnological solutions for endocrine disrupting compounds in water: From advanced detection to sustainable remediation – A review 纳米技术解决水中内分泌干扰物:从先进检测到可持续修复综述
Pub Date : 2026-03-01 Epub Date: 2026-01-08 DOI: 10.1016/j.clwat.2026.100206
N.A.P.M. Nishshanka , Thilini Jayasinghe , U.S. Liyanarachchi , W.A.M. Weerasinghe , Harshi Jayasingha , Gayan Amarasooriya
Endocrine-disrupting compounds (EDCs) pose a significant threat to global water security due to their environmental persistence, bioaccumulation, and potent biological activity at low concentrations. Conventional water treatment is often ineffective, necessitating advanced remediation strategies. This comprehensive review examines the transformative potential of nanotechnology for EDC mitigation, highlighting its application in detection, adsorption, and degradation. Nano-enabled approaches demonstrate remarkable efficiencies, including > 99.9 % rejection by graphene oxide membranes, > 95 % photocatalytic degradation within 60 min using N-doped TiO2, and adsorption capacities exceeding 480 mg/g for functionalized metal-organic frameworks. However, challenges regarding nanomaterial environmental fate, economic viability, and scalability remain. The review underscores the need for green synthesis and thorough toxicity assessments. Future directions point to the integration of multi-functional nanocomposites and AI-guided material design as a promising path toward sustainable and intelligent water treatment solutions.
内分泌干扰化合物(EDCs)由于其环境持久性、生物蓄积性和低浓度下的强生物活性,对全球水安全构成了重大威胁。传统的水处理往往是无效的,需要先进的补救策略。这篇综合综述探讨了纳米技术在减缓EDC方面的变革潜力,重点介绍了其在检测、吸附和降解方面的应用。纳米化方法显示出显著的效率,包括氧化石墨烯膜的去除率>; 99.9 %,n掺杂TiO2在60 min内的光催化降解>; 95 %,以及功能化金属有机框架的吸附容量超过480 mg/g。然而,关于纳米材料的环境命运、经济可行性和可扩展性的挑战仍然存在。该综述强调了绿色合成和全面毒性评估的必要性。未来的发展方向是多功能纳米复合材料和人工智能指导材料设计的结合,这是一条通往可持续和智能水处理解决方案的有前途的道路。
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引用次数: 0
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Cleaner Water
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