Sustainable Water Research Articles

Utilization of the Oil-contaminated Soil as a Sustainable Resource in Rural Road Construction and Rehabilitation in Oil-Producing Countries

Utilization of the Oil-contaminated Soil as a Sustainable Resource in Rural Road Construction and Rehabilitation in Oil-Producing Countries

High acetone soluble organosolv lignin extraction and its application towards green antifouling and wear-resistant coating

Marine fouling poses significant challenges to the efficiency and longevity of marine engineering equipment. To address this issue, developing effective marine antifouling coatings is critical to ensure the economic viability, environmental sustainability, and safety of offshore operations. In this study, we developed an innovative green antifouling and wear-resistant coating based on lignin, a renewable and sustainable resource. Lignin is considered environmentally friendly because it is abundant, biodegradable, and reduces reliance on petroleum-based materials. The coating was formulated with a controlled hydrophilic-to-hydrophobic ratio of 2:8, leveraging lignin's unique properties. Applying lignin increased the water contact angle by 14.5 %, improving surface hydrophobicity and contributing to the coating's antifouling efficacy. Moreover, the mechanical strength of the coating was enhanced by approximately 200 %, significantly boosting its durability in harsh marine environments. Additionally, the friction coefficient was reduced by about 85 %, further preventing organism adhesion. These results demonstrate that lignin-based coatings offer a greener alternative to traditional antifouling solutions. The results of this study not only help advance antifouling coating technology but are also consistent with the broader goal of promoting environmental responsibility in marine engineering practice.

Exploring Drivers of Land Use/Land Cover Transformations in Goang Watershed Ethiopia: Integrating Local Community Perceptions with Remote Sensing Data

Land use/land cover (LULC) changes driven by human activities are major environmental challenges in many developing regions. This study assessed local community perceptions and household-level drivers of LULC change in northwest Ethiopia. The study combined remote sensing analysis of LULC change with household surveys to understand local perspectives and the socioeconomic, biophysical, and institutional factors influencing household engagement in deforestation activities. The household survey data was collected from 384 randomly selected household heads, as well as from focus group discussions and key informant participants. The remote sensing component used ERDAS IMAGINE 2014 software to classify satellite images and assess LULC changes over time. The quantitative socio-economic data was analyzed using descriptive statistics and econometric methods of the multivariate probit (MVP) model, while the qualitative data was presented using content analysis. The study revealed that population growth, poverty, and food insecurity were the major underlying driving factors, while agricultural land expansion, settlement growth, fuelwood collection, overgrazing, and forest fires were the major underlying causes of LULC change. The MVP model result indicated that gender, off-farm income, access to training, family size, educational level, and agroecology were key determinants of households’ participation in deforestation drivers such as forestland clearing for agriculture, fuelwood collection, timber harvesting, and overgrazing. These findings highlight the need for integrated land use policies and programs that address the socioeconomic and biophysical root causes of LULC change. This study recommends supporting alternative livelihoods, promoting fuel-efficient technologies, and tailoring interventions to different social groups and agroecological contexts of sustainable land use planning and natural resource management in the study site. Future studies should compare perceptions and drivers of land use change across different regions to identify common patterns and unique challenges. This approach will enhance understanding and inform targeted interventions for sustainable land management.

Multivariate statistical and hydrogeochemical analysis of seasonal groundwater quality variations in coastal villages of Trivandrum district, south India

This study attempts a detailed assessment of the quality of groundwater in the coastal region of Trivandrum District, Kerala where groundwater is the main source of drinking water. Forty groundwater samples were collected during the pre-monsoon and post-monsoon periods. The collected samples were analyzed for physical properties such as electrical conductivity (EC), pH, total dissolved solids (TDS), and total hardness, along with chemical properties, including major cations (Ca2⁺, Mg2⁺, Na⁺, K⁺) and anions (Cl⁻, SO₄2⁻, HCO₃⁻, NO₃⁻). The analysis of groundwater quality reveals significant spatial and seasonal variations caused by both natural and manmade influences. Water Quality Index (WQI), hydrogeochemical plots, and Principal Component Analysis (PCA) were used to analyses the data. The results show that Vakkom, Kazhakottam, Veli-Attipara, and Pozhiyoor show significant deterioration, and areas such as Varkala, Ayroor, and Edava generally maintain good water quality. The Water Quality Index (WQI) assessment indicates that approximately 22.5% of the studied area falls under excellent quality, while 17.5% is classified as poor. The WHO standard and BSI standards were used to derive the WQI. Principal Component Analysis (PCA) identified electrical conductivity, total dissolved solids, and total hardness as the primary factors affecting groundwater quality, explaining 65.17% and 61.03% of the total variance in the pre-monsoon and post-monsoon periods, respectively. Hydrochemical plots collaborate these results, emphasize the influence of rock-water interactions as the main geochemical process, further compounded by pollution from agricultural runoff and urban development. These findings highlight the need for sustainable groundwater management strategies in coastal communities. Effective measures, including pollution mitigation, sustainable agricultural practice, proper waste management, and preservation of freshwater ecosystems, are essential for ensuring the sustainability of groundwater resources.

Decoupling of sulfation reactions to enhance zinc extraction from electric arc furnace dust: Unveiling the significance of O2 activation and mechanistic insights

Electric arc furnace dust (EAFD) is a hazardous solid waste generated during steelmaking, boasting significant concentrations of zinc and iron. Currently, a large amount of EAFD is disposed of in landfills, causing severe environmental pollution and resource wastage. To address this issue, the sulfation roasting followed by water leaching process was proposed, offering efficient zinc extraction, iron separation, low cost, and environmental friendliness advantages. This study presented a novel experimental design that decoupled the sulfation process for EAFD into gas–solid and solid–solid processes to uncover the sulfation mechanisms. During these processes, Zn-bearing phases were successfully converted into zinc sulfate (ZnSO4), while Fe-bearing phases transformed into iron oxide (Fe2O3). The resulting compounds were then separated using a water leaching process, achieving a high zinc extraction rate of 97.21% and a low iron residue of 0.61%, respectively, for the gas–solid sulfation process, and 98.76% and 0.81% for the solid–solid sulfation process. Comprehensive characterizations, in situ diffusion Fourier transform infrared spectroscopy (DRIFTS) experiments, and density functional theory (DFT) calculations provide a deeper understanding of the sulfation restructuring mechanisms in gas–solid and solid–solid roasting processes, highlighting the significant role of O2 activation. In the solid–solid sulfation process, Fe2(SO4)3, derived from the oxidation of FeSO4 by O2, was identified as the predominant compound responsible for sulfation. In the gas–solid sulfation process, sulfite species (SO32-) played a critical role as intermediates, eventually transforming into sulfate species (SO42-) with the assistance of O2. Moreover, adsorbed SO2 underwent oxidation and activation by adsorbed O2, forming the sulfate functional group. Migration of this functional group to the adjacent Zn atom through a transition state, established a Zn-SO4 bond, disrupting the Zn-O bond on ZnFe2O4 and completing the sulfation of ZnFe2O4. This study provides a fresh perspective on the application of sulfation roasting for the extraction of valuable metals, contributing to resource sustainability and effective management of zinc-bearing resources.

Assessing Groundwater Storage Change in the Great Artesian Basin Using GRACE and Groundwater Budgets

AbstractLarge, confined aquifer systems play a vital role in sustaining human settlements and industries in many regions. Understanding the sustainability of these water resources requires the evaluation of groundwater storage change. Direct in‐situ observation of groundwater storage is limited by the distribution and availability of groundwater level and aquifer storativity data. Here, we use and compare two auxiliary methods, applied at basin and sub‐basin scales, to assess groundwater storage changes in the Great Artesian Basin (GAB), one of the World's largest confined aquifer systems. The first, the groundwater budget, derives storage change as the residual of fluxes in and out of the GAB, assuming they are all accounted for and accurately estimated. The second uses time‐variable gravity data from GRACE satellites to estimate temporal changes in groundwater mass, assuming that all other components of the terrestrial water mass change detected by GRACE are correctly subtracted. Despite the depletion observed during the 20th century, groundwater storage is mostly stable during 2002–2022. An increase in storage is detected in the Surat sub‐basin, a major recharge area. This increase is attributed to an over‐representation of large recharge events during the study period and/or storage recovery following rehabilitation of free‐flowing bores. The approach consisting in disaggregating GRACE data assumes that water storage changes in confined aquifers is dominated by changes in the GAB, and as such, it may overestimate the increase in the GAB by incorrectly attributing the increase occurring in overlying aquifers to the GAB. In contrast, the recharge estimates used in the groundwater budgets do not account for flood recharge and might underestimate storage increase in the GAB.

Monitoring groundwater vulnerability for sustainable water resource management: A DRASTIC-based comparative assessment in a newly township area of Bangladesh

Groundwater is a vital source of freshwater in our daily lives. Global and local groundwater quality are degrading due to rapid urbanization, human interference, and policy variations, which is prominent in developing nations like Bangladesh. The major purpose of this research is to analyze aquifer vulnerability in Bangladesh's north-central area (Mymensingh) using conventional and modified DRASTIC modeling. Seven influencing hydrogeological factors were employed to develop and integrate conventional DRASTIC modeling: soil media, net recharge, aquifer depth, aquifer media, topography, hydraulic conductivity, and influence of vadose zone, while land use and lineament density were used with them for modified DRASTIC modeling. The findings from four vulnerability analysis detected 29.56% (93.35 sq.km), 22.24% (83.12 sq. km), 28.52 (106.93 sq. km), and 37.6% (140.55 sq.km) of the study area as high to very high vulnerable zones for groundwater pollution. Lower groundwater depth, higher hydraulic conductivity, moderate to high groundwater recharge, dense lineaments, dense settlement, agricultural land, and inland waterbodies together might indicate a high vulnerability in the research area. The validation results based on EC and nitrate levels show that conventional (r = 0.884, p ≤ 0.01; r = 0.951, p ≤ 0.01) and modified DRASTIC models (r = 0.868, p ≤ 0.01; r = 0.840, p ≤ 0.01) have a stronger association with unconfined aquifers, than confined aquifers. Modification with both additional parameters showed more accuracy compared to the conventional one. Frequent monitoring of groundwater quality in high and moderately vulnerable zones is recommended for earlier detection and prevention of potential aquifer degradation.

A bioinspired and environmentally sustainable polyphenol-based water adhesive

Most commercial adhesives currently available pose significant environmental concerns due to the presence of contaminants such as volatile organic compounds (VOCs). To address this challenge, much research is being focused on developing water-based adhesives. Herein, we demonstrate that polymerization of a natural polyphenolic compound (pyrogallol) with an amino-based ligand (tris(2-aminoethyl) amine) in water allowed for the development of a novel bioinspired water-based adhesive without involving VOCs. The reaction conditions were meticulously optimized by adjusting the reaction time, ratio, drying methodology and curing temperature, to produce a functional adhesive applicable across a broad spectrum of materials. Adhesion tests demonstrated competitive and outstanding performance on aluminium, followed by wood (oak and pine) and plastics (polypropylene, polycarbonate, and polymethylmethacrylate). Notably, the adhesive outperformed one of the most commercially used adhesives on pine and oak, highlighting its competitive advantage.

Tantalum-induced reconstruction of nickel sulfide for enhanced bifunctional water splitting: Separate activation of the lattice oxygen oxidation and hydrogen spillover

Designing highly active and stable bifunctional catalysts for the oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) under alkaline conditions is crucial for sustainable overall water splitting. Herein, we present a targeted reconstruction of Ni3S2 by introducing tantalum, achieving remarkable overall water splitting performance through the separate activation of the lattice oxygen mechanism and hydrogen spillover. Electrochemical Mass Spectrometry and in-situ Raman spectroscopy reveal that tantalum induces Ni3S2 to reconstruct into nickel hydroxide during OER, thereby enhancing catalytic activity via the activation of the lattice oxygen mechanism. In the corresponding HER, tantalum promotes the reconstruction of Ni3S2 into oxysulfide, facilitates hydrogen spillover, and acts as an anchor to shorten the spillover distance, improving the HER catalytic performance, as verified by the kinetic isotope effect and theoretical calculations. Therefore, the catalyst-based anion exchange membrane water electrolyzer system achieves a current density of 1 A cm−2 at just 1.97 V, maintaining continuous operation for 500 h. This study offers new insights into the design of bifunctional catalysts, advancing the development of efficient and robust overall water splitting catalysts.

Implementation of an adult life-course vaccine review service, VaxCheck, in community pharmacy: A qualitative analysis

BackgroundCommunity pharmacists are well placed to identify and vaccinate unimmunized or under-immunized individuals who can put themselves and communities at risk of preventable disease. We designed and tested VaxCheck, a novel life-course vaccine review service that can be used to raise awareness and guide personal vaccination action plans, in community pharmacies in Ontario, Canada. ObjectiveTo understand the experiences of community pharmacists and staff directly involved with providing the VaxCheck service as part of initial testing. MethodsSemi-structured interviews were performed with pharmacy staff from nine pharmacies who participated in the study. Interviews were conducted at baseline and following each of three plan-do-study-act quality improvement cycles. Activities undertaken to perform VaxCheck were assessed. An inductive thematic analysis was performed to identify dominant themes and subthemes. Activities and descriptive codes were then correlated to the Consolidated Framework for Implementation Research (CFIR). Results26 interviews were conducted. Pharmacy staff described VaxCheck activities as spanning three stages: (1) Promotion/offering of VaxCheck, (2) Completing the VaxCheck, and (3) Enacting recommendations and follow-up. VaxCheck activities were compatible with workflow related to delivery of other vaccines and medication reviews. Thematic analysis found three considerations guided VaxCheck adoption: (1) Aligning VaxCheck with workflow through flexible integration, (2) Enabling patient-oriented vaccination services, and (3) Contributing to community healthcare provision. Data aligned with all CFIR domains with strengths noted in constructs from the “Innovation characteristics” and “Individuals” domains. Barriers to implementation were identified in “Inner setting”, “Outer setting” and “Process” domains, such as pharmacy workflow capacity, patient knowledge about vaccination, availability of vaccine records, and interactions with other healthcare providers. ConclusionCommunity pharmacists found VaxCheck to be a valuable, accessible service that was well-received by patients and supported adult vaccination reviews and individualized recommendations. VaxCheck was compatible with pharmacy workflow but needed additional resources for sustainability and promotion with stakeholders.

Selective Growth of Nb-Fe-B Intermetallic Compounds for the Direct Separation of Rare Earths Based on Manipulating Liquation

Since the primary goal of industrialization has changed to carbon neutrality, the importance of rare earths (REs) has increased due to their criticality in green industries. The attainment of sustainable resources via green production processes is necessary due to the increasing need for REs. Liquid metal extraction is regarded as a leading technology for supporting the sustainability of resources based on the selective reactivity between REs and extractants. However, this process requires multiple stages, including pretreatment, extraction and separation, which are considered bottlenecks in industrialization. In this work, reverse selectivity is applied instead of conventional liquid metal extraction (c-LME) for the direct separation of REs in a single stage. Niobium (Nb) is selected because of its thermodynamic properties for enhancing the selectivity of the reactions between the extractant and other elements, excluding REs. The process is thermodynamically designed for liquation systems, and it reflects the interactions between the extractant and magnets. The solidification behavior based on the selective growth of phases without REs is shown with variations in the composition and cooling rate to confirm the kinetics. The composition prevents the formation of RE-Fe intermetallic compounds, and excess Nb is considered a bottleneck for separating REs. In addition, the cooling rate influences the agglomeration of RE as a layer. Because of the manipulation of the liquation, 92.89% of the REs are successfully separated in the form of accumulated layers. This effective process for the direct separation of REs is verified through thermodynamic and experimental assessments. Overall, this investigation can provide new guidelines for the construction of a circular economy after improving the energy efficiency of this system in future research.

How does the use of cryptocurrency affect circular economy practices in manufacturing companies?

In nations facing international pressures, such as sanctions, leaders should attempt to utilize advanced technologies more effectively, while fostering the skills and intelligence of the human resources, and enhancing public confidence in the use of emerging technologies in Industry 5.0. In this article our goal is to investigate the effect of acceptance and use of cryptocurrencies on the circular economy. The theoretical contribution of this research is to enrich the literature related to the factors affecting the adoption of digital currencies and its impact on the circular economy. Also, due to the importance of technology awareness in Industry 5, its effect on the adoption of digital currencies was evaluated. For several decades, Iran has been exposed to political and economic sanctions by the United Nations Security Council, the US, and the European Union (EU). Given the importance of natural resources in Iran's economy, and the presence of barriers regarding financial transactions, all manufacturing companies working in Iran were selected as the statistical population of the current study. The findings showed that variables like the realized ease of use, the realized efficiency, trust, technological intelligence and social influence have been effective on the acceptance and use of cryptocurrencies. Also, use of cryptocurrencies in manufacturing companies has had effect on the circular economy activities. The other research results revealed that the factor of economic sanction in the studied society might have effect on the use of cryptocurrencies and consequently companies’ circular economy. The policy-makers active in the field of the environment, and also managers of manufacturing companies by creating an infrastructure for financial exchange based on digital currency can provide the needed ground for production in line with the environment and sustainable resource management.

Design and performance analysis of a novel downhole heat exchanger for deep geothermal wells: Experimental and field tests

This study addresses the challenge of "extracting heat without extracting water" in geothermal energy systems, which is a key requirement for sustainable resource utilization. A novel downhole heat exchanger (NDHE) was designed to increase the heat exchange efficiency in compact geothermal single-well systems. This research employed theoretical analysis, experimental studies, and field tests. The heat exchanger, which incorporates a single-pass flow for geothermal water and a dual-pass flow for ground loop water, achieved a heat transfer coefficient of 2200–3200 W/(m2·K) and a maximum heat extraction power of 32 kW under laboratory conditions. In field applications, the system demonstrated a heat extraction power of 185 kW—38–58 % higher than that of existing technologies—sufficient to meet the 155 kW heating demand for buildings. Under full load, the predicted maximum capacity reached 555 kW, more than quadrupling the performance of current single-well systems. This innovative heat exchanger significantly enhances both heat extraction efficiency and scalability, paving the way for broader adoption of geothermal energy technologies.

Integrated water resource management in the Segura Hydrographic Basin: An artificial intelligence approach

Managing resources effectively in uncertain demand, variable availability, and complex governance policies is a significant challenge. This paper presents a paradigmatic framework for addressing these issues in water management scenarios by integrating advanced physical modelling, remote sensing techniques, and Artificial Intelligence algorithms. The proposed approach accurately predicts water availability, estimates demand, and optimizes resource allocation on both short- and long-term basis, combining a comprehensive hydrological model, agronomic crop models for precise demand estimation, and Mixed-Integer Linear Programming for efficient resource distribution. In the study case of the Segura Hydrographic Basin, the approach successfully allocated approximately 642 million cubic meters (hm3) of water over six months, minimizing the deficit to 9.7% of the total estimated demand. The methodology demonstrated significant environmental benefits, reducing CO2 emissions while optimizing resource distribution. This robust solution supports informed decision-making processes, ensuring sustainable water management across diverse contexts. The generalizability of this approach allows its adaptation to other basins, contributing to improved governance and policy implementation on a broader scale. Ultimately, the methodology has been validated and integrated into the operational water management practices in the Segura Hydrographic Basin in Spain.

Enhancing nanofiltration performance with tannic acid and polyvinyl alcohol interlayers for improved water permeability and selective solute rejection

Global water shortages have significantly intensified the demand for efficient and sustainable water purification technologies. Nanofiltration (NF) plays a crucial role in desalination, providing distinct advantages by removing a variety of pollutants including heavy metals and organic compounds, all while consuming minimal energy. Traditional NF membranes often struggle to balance high rejection with satisfactory permeability. This study advances NF technology by utilizing polysulfone as a durable substrate and introducing tannic acid (TA)-polyvinyl alcohol (PVA) interlayer to enhance structural robustness and functional capabilities of membranes. Through streamlined one-step coating followed by precise interfacial polymerization, this approach optimizes monomer piperazine storage and dispersion on substrate, effectively controlling its diffusion rate, resulting in a thinner polyamide (PA) layer. These strategic enhancements not only lead to a significant increase in permeability to 216.3 L·m−2·h−1·MPa−1 and an impressive rejection for Na2SO4 of 99.04 % but also ensure enhanced long-term operational stability. The innovative TA-PVA interlayer sets new benchmarks for high-performance NF membranes by combining environmental friendliness with cost-effectiveness, making it ideal for large-scale industrial applications. This unique composition promotes sustainability and economic efficiency in water treatment technologies, and underscoring the vast potential for expanding the production and application of advanced NF systems.

Sequential decline in cyanobacterial, total prokaryotic, and eukaryotic responses to backward flow in a river connected to Lake Taihu

River ecosystems face escalating challenges due to altered flow regimes from human activities, such as urbanization with hydrological modifications. Understanding the role of microbial communities for ecosystems with changing flow regimes is still incomplete and remains at the frontier of aquatic microbial ecology. In particular, influences of riverine backward flow on the aquatic biota remain largely unknown. Therefore, we examined the impact of backward flow on the cyanobacterial, total prokaryotic, and eukaryotic communities in the Changdougang River, which naturally flows into Lake Taihu, through environmental DNA metabarcoding. We analyzed the differences in community diversity, assembly, and ecological network stability among groups under backward, weak, and forward flow direction conditions. Non-metric multidimensional scaling showed higher variations in communities of groups across flow direction conditions than seasonal groups. Variations in alpha and beta diversity showed that cyanobacterial and total prokaryotic communities experienced strong homogenization under backward flow conditions, whereas the ecological uniqueness of the eukaryotic community decreased. Assembly of the three flow-related communities was primarily governed by drift and dispersal limitation in stochastic processes. However, in the cyanobacterial community, homogeneous selection in deterministic processes increased from 22.79% to 42.86% under backward flow, aligning with trends observed in the checkerboard score (C-score). More importantly, the topological properties of ecological networks and the degree of average variation revealed higher stability in the cyanobacterial community compared to total prokaryotic and eukaryotic communities. Considering the variations in cohesion, the network stability in the cyanobacterial community decreased under backward flow. Our findings emphasize the distinct and sequentially diminishing responses of cyanobacterial, total prokaryotic, and eukaryotic communities to backward flowing rivers. This knowledge is crucial for maintaining ecological health of rivers, assessing the complex ecological impacts on hydrological engineering, and formulating sustainable water management strategies.

Polymeric Adsorbent for the Effective Removal of Toxic Dyes from Aqueous Solutions: Equilibrium, Kinetic, and Thermodynamic Modeling

AbstractThis study investigates the adsorption behavior of anionic (Congo red, Eosin yellow) and cationic (Malachite green) dyes on synthesized TD polymer particles, highlighting the material's potential as an effective adsorbent for industrial wastewater treatment. Key operational parameters, including initial solution's pH, contact time, initial dye concentration, and temperature, were systematically evaluated to determine their influence on adsorption efficiency. The experimental data demonstrated that the Langmuir isotherm provided the best fit for all three dyes, indicating monolayer adsorption with maximum adsorption capacities of 153.8 mg/g for Malachite green, 49.36 mg/g for Congo red, and 227.9 mg/g for Eosin yellow. Kinetic analysis revealed that the adsorption of Malachite green and Congo red followed pseudo‐second‐order kinetics, while Eosin yellow adsorption was better described by the intra‐particle diffusion model. Thermodynamic assessments, including Gibbs free energy (ΔG°), enthalpy (ΔH°), and entropy (ΔS°), confirmed the spontaneous and endothermic nature of the adsorption processes for Malachite green and Eosin yellow, contrasting with the exothermic behavior observed for Congo red. These findings underscore the versatility and effectiveness of TD polymer particles in removing both anionic and cationic dyes from aqueous solutions. Further research could explore material optimization and real‐world applications to broaden their utility in sustainable water treatment strategies.

Enhancing flocculation and dewatering performance of fine phosphate tailings: A sustainable approach for water resources management

The sustainable recovery of water from fine phosphate tailings (FPTs) is essential for reducing water consumption and mitigating the environmental risks associated with phosphate beneficiation operations, particularly during tailings storage. Dewatering through enhanced flocculation techniques is among the most sustainable management practices in the mining industry. However, the interactions between phosphate tailings and polymers remain insufficiently explored, particularly in the context of the flocculation process. To address this, the present study investigates the improvement of dewatering performance through optimized flocculation techniques. Fourteen flocculants, including anionic, nonionic, and cationic types, were assessed for their effectiveness in enhancing water recovery, sedimentation rates, and turbidity reduction. Among the tested flocculants, polyethylene oxide (PEO 4 M) and anionic polyacrylamide (AN923) exhibited superior performance, achieving water recovery rates exceeding 84 %, solid contents above 38 %, and settling rates over 13.9 cm/min, along with significant turbidity reductions to below 4.40 NTU. Insights into the adsorption mechanisms, derived from zeta potential measurements and Fourier-transform infrared spectroscopy, revealed that anionic polyacrylamide (APAM) induces flocculation primarily through hydrogen bonding and polymer bridging, whereas polyethylene oxide (PEO) operates via hydrophobic interactions and charge neutralization. These findings lay the groundwork for more sustainable water management strategies in phosphate mining, enhancing both resource efficiency and environmental protection.

Continuous lattice oxygen participation of NiFe stack anode for Sustainable water Splitting

Non-noble anode catalysts exhibit insufficient activity and stability for anion exchange membrane water electrolysis (AEMWE). Accordingly, we propose an electrolyte additive strategy involving NiFe-layered double hydroxide. In situ Raman spectroscopy and 18O isotope labeling experiments reveal that Fe ions in the electrolyte change the oxygen evolution reaction mechanism from adsorbate evolution to the lattice oxygen participation mechanism (LOM). These Fe ions continuously refill Fe vacancies owing to facile metal dissolution via the LOM. In a unit cell, we achieve an excellent cell voltage of 1.73 V and energy conversion efficiency (ECE) of 69.4 % at 3.0 A cm−2, meeting the target set by the U.S. Department of Energy (1.80 V and 69.0 % ECE). Our optimized membrane electrode assembly enhances the cell activity (1.567 V at 1.0 A cm−2; ECE = 76.5 %) and stability (0.125 mVcell h−1 at 0.5 A cm−2 for 500 h) with a 100 cm2 AEMWE stack.

A hybrid technique to enhance the rainfall-runoff prediction of physical and data-driven model: a case study of Upper Narmada River Sub-basin, India

Accurate streamflow prediction is crucial for effective water resource management and planning. This study aims to enhance streamflow simulation accuracy in the data-scarce Upper Narmada River Basin (UNB) by proposing a novel hybrid approach, ANNHybrid, which combines a physically-based model (WEAP) with a data-driven model (ANN). The WEAP model was calibrated and validated using observed streamflow data, while the ANN model was trained and tested using meteorological variables and simulated streamflow. The ANNHybrid model integrates simulated flow from both WEAP and ANN to improve prediction accuracy. The results demonstrate that the ANNHybrid model outperforms the standalone WEAP and ANN models, with higher NSE values of 95.5% and 92.3% during training and testing periods, respectively, along with an impressive R2 value of 0.96. The improved streamflow predictions can support better decision-making related to water allocation, reservoir operations, and flood and drought risk assessment. The novelty of this research lies in the development of the ANNHybrid model, which leverages the strengths of both physically-based and data-driven approaches to enhance streamflow simulation accuracy in data-limited regions. The proposed methodology offers a promising tool for sustainable water management strategies in the UNB and other similar catchments.