Water Supply Chain Research Articles

Tracking Microplastics Contamination in Drinking Water Supply Chain in Haikou, China: From Source to Household Taps

The presence of microplastics (MPs) in aquatic environments has become a significant global concern due to their potential adverse effects on human health. This study aimed to investigate the contamination of MPs throughout the drinking water supply chain in Haikou City, China, and to conduct risk assessments regarding the relationship between MPs contamination and human health. The results revealed that the abundance of MPs in raw, treated, and tap water was 0.6 ± 0.6, 5.2 ± 2.7, and 1.2 ± 1.1 particles·L−1, respectively. Fragments were identified as the most prevalent shape across all samples, with the size category of 20–50 μm showing the highest abundance of MPs. Among the 11 types of polymers identified, polyethylene and polypropylene accounted for 50% and 29%, respectively. The potential risk index values were significantly higher for treated water (370.26) and tap water (303.85) compared to raw water (13.46), suggesting that plastic pipes may be a key contributor to MPs contamination in drinking water. Therefore, efforts should be directed toward developing pipes with low release rates of MPs, as well as improving detection methods for smaller particles and accurately assessing associated risks.

Challenges associated with access to safe water in Rhino Camp refugee settlement in Arua District, Uganda

ABSTRACT The study evaluated water access and disease prevalence in the Rhino Camp refugee settlement by mapping water sources, interviewing residents, and reviewing health centre records. Primary water sources were tanks providing 10.2 litres per person per day (l/p/d). Microbial contamination including total coliforms reaching 2.8 × 104 cfu/ml (household container – Tika), thermotolerant coliforms, and faecal enterococci were observed throughout the water supply chain, suggesting faecal contamination and posing a health risk. We attributed this to poor handling and storage related to poor sanitation in the settlement, highlighting the importance of promoting hygiene practices among refugees, particularly in the Ofua Zone, which had the highest contamination risks and the highest sanitary risk scores. Malaria and typhoid were the most prevalent diseases, with Ofua having the highest disease incidence. Water collection was mostly done by adult females and female children (34.7 and 30.3%, respectively) although water collection was generally low (<4 times a day). Boiling water was associated (p < 0.05) with the incidence of hepatitis A in Ofua. Adequate water (>20 l/p/d), water treatment, and education on hygiene practices especially for adult females are essential in lowering contamination and the incidence of diseases.

Development of novel DNA aptamers and colorimetric nanozyme aptasensor for targeting multi-drug-resistant, invasive Salmonella typhimurium strain SMC25

Invasive, biofilm-forming Non-typhoidal Salmonella (iNTS), propagating through the global food and water supply chain, presents a significant risk to food safety and public health. Developing a robust detection system is crucial for enabling point-of-care, affordable, and equipment-free identification of this pathogen throughout the supply chain. In this study, we screened a novel pool of ssDNA aptamers specific to a multidrug resistant iNTS strain SMC25, previously isolated from Indian poultry products in our earlier research. Through 13 rounds of whole-cell SELEX, we identified, characterized, and selected seven full-length aptamers (ST18, ST19, ST25, ST28, ST29, ST31, and ST32). Flow cytometric analysis reveals superior binding of ST25, ST28, ST29, and ST31. These aptamers were translated onto Nanozyme-based aptasensing system for efficient, cost-effective detection of SMC25. This system harnesses the aptamer-mediated, reversible peroxidase-like activity of gold nanoparticles (GNPs) to oxidize the TMB substrate into a one-electron oxidation state, resulting in a blue-colored Diamine charge transfer complex (DCTC). The catalytic process, coupled with GNP aggregation, induces a visible color change in the test mixture from ruby-red to blue. Post-SELEX truncations identified the optimal aptamer sequence (T_ST31), which selectively detected SMC25 in water with a limit of detection (LOD) of ∼10⁴ CFU/mL. Lower concentrations (10 CFU/mL) of SMC25 could be detected after non-selective enrichment within 120 min. This research introduces a novel pool of iNTS-specific aptamers along with a cost-effective (0.25 USD per sample) solution for colorimetric detection by the naked eye.

Impact of various fairness-based distribution models on supply chain networks from the perspective of customer satisfaction

AbstractThis study investigates the effectiveness of two fairness-based distribution approaches—type I and type II—in enhancing the resilience of supply chain networks (SCNs) during disruptions. The research contributes to the growing body of knowledge on supply chain management by offering insights into how fairness principles can be applied to improve the restoration of disrupted networks. A mixed-integer programming model was developed to simulate these fairness-based distribution strategies, focusing on a water supply chain network of a privet company in Saudi Arabia. The SCN consists of a single supplier and ten demand nodes, each requiring multiple commodities. The model was tested under 100 random disruption scenarios, each reducing the capacity of randomly selected network segments. The performance of each fairness-based distribution approach was evaluated based on how quickly and effectively the SCN returned to its required service levels (SLs) across all demand nodes. Results indicate that Fairness Distribution Type I, which aims to minimize unmet demand across the entire network, generally outperformed Type II in terms of speed and efficiency. Type I was more effective at restoring SLs quickly at most nodes, while Type II showed localized advantages, particularly in restoring SLs for specific commodities at select nodes. The study concludes that while Type I is more suited for overall supply chain recovery, Type II may be beneficial in scenarios requiring focused recovery at specific demand nodes. These findings provide actionable insights for supply chain managers seeking to enhance network resilience through fairness-based distribution strategies, and suggest avenues for future research on hybrid and context-specific approaches.

A geospatial assessment of the resilience of municipal water supply to flooding in Nowshera District, Pakistan

Post-disaster functionality of the potable water supply infrastructure is crucial for maintaining public health and safety. The failure of the water supply system may harm inhabitants and significant users, which can impact other services and various types of infrastructures. It is vital to assess climate change impacts on water resources to ensure resilience and sustainable management. The study assessed the resilience of 22 municipal water schemes using an indicator-based framework, How Tough is Wash (HTIW), across six domains: environment, infrastructure, community governance, water supply management, supply chains, and institutional support. The sites of municipal water supply were purposively selected based on specific criteria to include those water supply schemes which have been directly affected by flooding or are vulnerable to the impact of the flood. The resilience scores ranged from (6 to 7.5) for schemes with very low resilience, (7.5 to 10.5) for those classified as poor, and (10.6 to 16.5) for schemes considered moderately resilient. It was discovered that protective measures against the risk of flood were negligible. Community engagement governance and water supply management needed to be stronger. Local governments can pinpoint current advantages and disadvantages by utilizing these metrics and their impact on the public water supply's resilience and strategically allocate resources for optimal outcomes. Furthermore, the metrics that have been suggested simplify and unify the multiple dimensions of the elements, enabling decision-makers to optimize the measures.

Renewable energy-powered water desalination and treatment network under wind power and water demand uncertainty: A possibilistic chance-constrained programming

Given the scarcity of freshwater resources, the growing significance of desalination is undeniable. It holds immense potential, particularly in regions grappling with severe water shortages. However, desalination's Achilles heel lies in its voracious energy appetite, requiring roughly ten times more energy than wastewater treatment. Moreover, the prevalent use of fossil fuels in desalination plants poses concerning issues like environmental pollution, fossil fuel depletion, and rising costs. The present study has designed an integrated Water desalination and treatment Network that includes a number of desalination facilities, storage centers, wind farms, and wastewater treatment facilities. The water desalination and treatment network has been structured using a Mixed-Integer Linear Programming (MILP) model, considering uncertainties in wind power and water demand. Employing a chance constraint probabilistic programming approach, this model ensures robustness and balances conservatism with investment attractiveness. It aims to enhance resilience against fluctuations in wind energy and water demand within the water and energy supply chain network. The study applied this model to optimize the locations of desalination plants, treatment centers, and storage facilities. This integrated model ensures autonomy, eliminating the need for external water and energy sources while reliably meeting regional demands. In the context of the Makran coasts case study, our comprehensive mathematical model demonstrates an optimal allocation with 96.67 % attributed to fixed costs and only 3.33 % to variable costs. Moreover, this model precisely optimizes the locations of two desalination centers, two storage facilities, and ten water treatment centers, effectively managing the need for external water resources. Ultimately, through a rigorous sensitivity analysis, we unveiled that the chance constraint parameters have a significant impact on the variable costs.

Health risk assessment of heavy metals and physicochemical parameters in natural mineral bottled drinking water using ICP-MS in South Africa

The contamination of natural mineral bottled drinking water with trace, heavy metals and rare-earth elements is a growing concern globally, especially in regions with limited access to safe drinking water sources. In South Africa, the safety of bottled water remains a critical issue due to potential health risks associated with heavy metal exposure. This study aimed to evaluate physicochemical parameters alongside to assess the health risks due to heavy metals in natural mineral bottled drinking water available in South Africa, using inductively coupled plasma mass spectrometry analysis. A total of 21 bottled water samples from different brands were collected and analysed for heavy metal concentrations including Pb, Cd, As, Cr, Ni, Ba and Hg, as well as physicochemical parameters such as pH, conductivity, dissolved oxygen and total dissolved solids among others. The results revealed physicochemical parameters were within acceptable ranges, indicating overall water quality. Varying levels of heavy metals across different brands observed with concentrations of Al, Fe, Mg, Ca, K and Mn in some samples exceeding permissible limits set by WHO and SAWQG for drinking water quality. The mean concentration of the heavy metals is in the decreasing toxicity order of Sr > Al > Ba > Mn > Cu > Cr > Zn > Fe > As > Co > U > Ni > Cs > Pb > Cd > Hg. The mean values of the chronic daily intake (CDI) for the concentration of heavy metals for adults are in the order of Cr > Fe > Sr > Ba > Mn > Cu > Zn > Li > V > As > Ni > Be > Pb > Hg > Cd and were below acceptable limits. The estimated values of both HQ and HI (with mean of 2.07E−03 and range of 0.00 to 1.76E−02) for the heavy metals are all found to be less than 1. The total mean value of ILCR is 4.67E−06, and range of 0.00 to 2.76E−05, which is insignificant and within the permissible level of the cancer risk guidance limit of 1.00E−06 to 1.00E−04. The results show that consumption of natural mineral bottled drinking water of South Africa is safe and may not cause any significant health risk to the populace. However, the long-time potential effects due to the few exceeded metals levels needed to be considered. Our findings contribute to the ongoing discourse on water quality assurance, offering insights into the overall integrity of the natural mineral bottled water supply chain in South Africa. This research not only serves as a foundation for regulatory measures but also underscores the significance of maintaining high-quality standards in the bottled water industry for public health and environmental sustainability.

Coordinated emission reduction strategy of water pollution and carbon emissions in the South-to-North Water Diversion Project based on a differential game model

ABSTRACT This study investigates the green development of the South-to-North Water Diversion Project (SNWDP) by exploring the synergistic reduction of water pollution and carbon emissions. Firstly, a differential game model is constructed to reduce pollution and carbon in the water supply chain. Secondly, the emission reduction strategies of water source and receiving areas under centralized and decentralized decision models are compared and analyzed and a cost-sharing contract is designed to coordinate the supply chain. Finally, numerical analysis is used to compare and analyze the important parameters to draw conclusions. The results show that: (1) Collaboration between water source and receiving areas influences emission reduction efforts, with the highest achieved under the centralized model. (2) The cost-sharing contract improves efforts and addresses ‘free-riding’ in the decentralized model. (3) The SNWDP can achieve a win-win situation in terms of both environmental and economic benefits by promoting the synergy of pollution reduction and carbon reduction.

Enhancing frameworks for utilising Sankey diagrams in modelling the water-energy nexus and circularity

Understanding the connection between water supply and energy consumption in a circular economy is crucial for managing the demands of these resources. Sankey diagrams have the potential to enhance the visualisation of resource flows. However, there is a knowledge gap regarding the effective use of Sankey diagrams to capture the water-energy nexus and circularity of water. This study focused on effectively utilizing Sankey diagrams to model the nexus of water and energy flows and to assess the circularity of water. A comprehensive literature review was conducted on major studies on water material flows and modelling. This was supported by a review of approaches for modelling circularity, which have evolved from the material circularity index. The newly developed framework in this paper models water resource flows at all stages of the water supply chain, embedding the nexus as an interaction and considering resource intensity and material circularity index at each node. A city-level case study in South Africa was then used to apply the recommendations, model circularity, and the water-energy nexus using Sankey diagrams. In terms of circularity, the results indicate that water loss in the study area was very high, accounting for up to 40% of the total water supply and the water recycle rate was still very low, ranging from 3% to 7%. In terms of the nexus, the residential sector was found to have the highest energy intensity for water supply, primarily due to energy demand for water heating. Exploring the use of renewable or solar energy for water heating will be of interest and value. The new approach presented in this study allows for the simultaneous consideration of objectives, enabling a more robust analysis of energy-effective water use and water circularity along the water supply chain.

The evolution of the EU drinking water policy towards a source-to-mouth approach

ABSTRACT The four-decade evolution of drinking water policy of the European Union is analysed using a policy change framework through documentary analysis and in-depth interviews. Our findings suggest that this policy has always targeted the protection of human health while inching closer to the concept of ‘safely managed drinking water’, which implies the protection of the sources of drinking water and the application of a risk-based approach to the entire water supply chain. Influenced by a variety of factors, it has experienced incremental changes leading to more comprehensive provisions while seeking flexibility to accommodate the diversity of Member States forming the Union.

Sustainable management of produced water supply chain system: the validation of model-independent parameters for Kuwait oil company case study

ABSTRACT A substantial amount of wastewater is generated during the extraction of oil and gas. Wastewater that is generated as a result of oil and gas extraction activities is known as produced water (PW), and managing PW is one of the greatest challenges faced by the oil and gas industry. Effective management of PW requires an understanding of the complex impact it may have on both oil production and water treatment operations. Here, a numerical model has been applied to a real-world case study, that of Kuwait Oil Company (KOC), to examine the relationships among various input and output factors in PW supply chain management. Specifically, the numerical model is a multi-objective optimisation model for the management of PW supply chains that takes into account economic as well as environmental objectives. A global sensitivity analysis has also been performed to assess the economic and operational factors that can influence the management of PW in KOC. The findings of this study show that the operational costs, treatment costs and environmental impacts can be assessed and used to guide the management of the PW supply chain in KOC.

Water Safety Plan: A case study from Sofia, Bulgaria

According to Directive 2184/2020 on the quality of water intended for human consumption and World Health Organization (WHO) best practice, the Water Safety Plan (WSP) includes a review of the whole water supply chain – from protection of the water source, through water abstraction, transportation, treatment, storage and distribution to the end user. Risk management is based on the introduction of corrective, control and preventive measures, as well as subsequent validation of the measures taken and monitoring of their implementation according to the Deming cycle. The purpose of the current study is to review individual components of the WSP implementation and the effectiveness of WSP developed and implemented by Sofiyska voda JSC (SV) - the water supplier of Sofia, the capital of Bulgaria. The article presents the overall approach followed by the water supply operator, including the system review, risk identification and assessment, mitigation barriers, process control through critical control points (CCPs), review and verification of all risk management measures taken.

Analysis of Factors Affecting the Quality of Corn and the Supply Chain as An Animal Feed Ingredient in Karo District, North Sumatra

This study aims determine the quality of corn, analyze the factors that influence corn quality and analyze differences in corn prices at the farmer and marketing level in Karo Regency. This research was carried out in Karo Regency in May - July 2023 with a total of 98 respondents. It used multiple linear analysis. The results of the research show that the quality of corn available to farmers and marketing meets SNI requirements as raw material for animal feed. The results of multiple regression analysis show that water content, supply chain and harvest season have a significant effect on corn quality in Karo Regency. The marketing margin for farmers is as high as IDR 523/kg, while at marketing level it is IDR 1,012/kg. The farmer share obtained at farmer level was 89.24%, while at marketing level it was 82.71%.

Cytotoxicity of water supply in a Palestinian refugee camp and a Syrian informal tented settlement in Lebanon.

Deficient water, sanitation, and hygiene (WASH) significantly account for a high burden of disease across the globe. Lebanon, an Eastern Mediterranean lower-middle-income country with a polluted environment, a fragmented healthcare system, and an ongoing severe economic crisis, faces serious challenges in sustaining safe water supplies, especially in vulnerable communities, while also hosting the world highest refugee population per capita. This study aimed to examine the mutagenicity, and the estrogenic and androgenic activities of water supplies, across both a Palestinian refugee camp and a Syrian informal settlement. Water samples were collected from two targeted camps in Dbayeh and Choueifat, North and South of the Capital City Beirut, respectively, between the months of September and October 2022. Microbial and physicochemical properties of samples were determined, including fecal contamination, total dissolved solids, and various minerals and salts. Organic pollutants were extracted using pre-packed solid phase extraction (SPE) columns, and then mutagenicity of extracts was examined using the Ames test in two Salmonella typhi bacterial strains. The estrogenic and androgenic activities of extracts were assessed using the yeast estrogen and androgen screen tests assays (YES/YAS). Results show excessive levels of total coliforms and total dissolved solids (TDS) in samples from both sites. In addition, the water supply from the Dbayeh Palestinian refugee camp is mutagenic, while the water supply from the Choueifat Syrian informal settlement shows anti-androgen activity. Our findings provide valuable WASH baseline data in two major vulnerable communities in Lebanon, and highlight the importance of a water toxicity testing approach concomitant with a water safety plan, based on a holistic strategy that covers all stages of the water supply chain.

“Assessing the Water Supply Chain Activities in Tanzania Water Authorities, a case of Arusha region”

An efficient supply chain has been critical to the success of businesses, the maximization of profits in the service sector, and the water service authority in particular. This is to guarantee complete customer happiness for the people and the growth of the nation. This study has focused on the assessment of different activities done as well as the better strategies and strength of the authorities towards assuring full customer satisfactions a case of Arusha Urban Water Supply and Sewerage Authority, Arusha town, Tanzania. It have addressed various issues related to the effectiveness of the water supply services by the authority to meet customer need and produce full customer satisfactions. Based on the established objectives, which included examining the activities involved in the water services supply chain and identifying the key tactics and capabilities employed by the authority to address issues and meet customer requests, data were gathered from both the authority and customers. Various forms of surveys, interviews, documents, and observations were employed in the data collection process. Based on the results, the researcher concluded that the authority carries out various tasks associated with water supply and that various tactics are used in day-to-day operations to ensure that customers receive effective and efficient water supply services, some of which are accompanied by strengths observed. Although the authorities have made an effort to meet the needs of the public, they have encountered obstacles and other issues. As a result, they must adapt and implement additional tactics in order to improve performance as advised. In order to guarantee complete customer pleasure for each person’s growth as well as the development of the nation, the advice went on to offer improved tactics that may be used to boost the efficacy in the performance of water supply services.

Cultural Aspects Constraining Mine Water Supply Chain Management in ASAL Areas of Kitui County, Kenya

Kitui County receives low levels of rainfall annually thus considered as Arid and Semi-Arid (ASAL) area. The community has formed many cultural imaginations about water ensuing from scarcity and insufficiency of the commodity in the area. This study sought to establish how community livelihood, beliefs, norms and customs, poverty, rituals and gender involvement constrained mine water supply chain management. The findings showed that there is difficulty in accessing water and the quantity and quality available do not match community domestic needs. Consensus building and factoring in of cultural aspects is key in ensuring success of mining and extraction activities.

Forecasting Model Accuracy Assessment in a Bottled Water Supply Chain

This study presents an accuracy assessment of various classical time series forecasting methods to determine the most accurate forecasting method for predicting demand of the 50cl product of a bottled water supply chain. The classical time series forecasting methods compared are the moving average, weighted moving average, exponential smoothing, adjusted exponential smoothing, linear trend line, Holt’s model, and Winter’s model. The Mean Absolute Percent Deviation (MAPD) value was determined for the various forecasting methods to find the forecasting method with the least MAPD and hence the highest forecasting accuracy. The tracking signal measure was also used to determine the forecasting models which were biased. The results showed that though the weighted moving average method began to underforecast demand in the final period, it had the lowest MAPD value of 2.25%, making it the forecasting method with the highest accuracy for predicting the 50cl bottled water demand. On the other hand, though the exponential smoothing forecasting method had the highest MAPD value of 3.43% and least accuracy for predicting the bottled water demand, its forecasts were consistently within the tracking signal control limits. This study will aid supply chain analysts in implementing accuracy assessment of classical time series forecasting models.

Hierarchically grown CeO2/GO on nylon filter with enhanced hydrophilicity and permeation flux for oil-water separation

Removing contaminants from water is crucial to safeguard the global water supply chain. Water purification using membrane technology is an effective and energy-efficient solution. Graphene oxide (GO) is a promising candidate for developing advanced membranes with tunable permeation parameters. In this study, porous CeO2/GO structures are hierarchically grown on a nylon filter using vacuum coating and applied for methylene blue (MB) removal and oil-water separation. Using EDA as a crosslinker creates a durable interaction between the nylon filter, CeO2 nanoparticles, and GO. CeO2/GO-nylon filter displays better hydrophilicity, antifouling, and superoleophobicity. Increased underwater superoleophobicity is attributed to hydrophilic CeO2 nanoparticles, which increase the surface roughness of the membrane. Embedding CeO2 nanoparticles results in good hydrophilicity and assists the fast water permeation with an enhanced flux rate of up to 6451 L m−2 h−1 for pure water and 484.85 L m−2 h−1 for oil-water emulsions. The designed CeO2/GO-nylon filter exhibits excellent oil rejection rates (99%) for various oil-water emulsions. Additionally, abundant functional groups on its surface enable an efficient removal of methylene blue (99.8%) from water through electrostatic, hydrogen bonding, π-π interactions, and pore-filling mechanisms. The designed strategy provides a simple approach for creating a membrane with exceptional water purification capabilities and paves the way for highly efficient membranes for energy and environmental applications.

Tracing surface water pollution in China’s supply chain

Decades of economic growth in China were enabled by rapid industrialization with insufficient water quality controls. Previous studies have traced water pollution discharges or grey water footprint using the multi-regional input–output (MRIO) model. However, there is a research gap in understanding the relation between surface water pollutant concentrations and final consumption of local and external basins. Here, we present the first national analysis to map surface water quality degradation in watersheds embedded in China’s supply chains. To do this, we developed a basin-specific relationship between surface water pollution concentration and discharge, and combined it with the MRIO model to trace the water pollution of different basins through the trade of products and services. We find that ∼50% chemical oxygen demand (COD) and ∼46% ammonium nitrogen (NH4+-N) discharges from production processes can be traced to consumer demands beyond the basin where the pollution was initially released. 0.3–2.2 mg/L COD and 0.03–0.31 mg/L NH4+-N water quality degradation (the range indicates pollution concentration in different basins) can be attributed to final consumption of commodities from other basins in China. International consumers contributed to increased degradation of water quality (0.43 mg/L COD in Huai River Basin and 0.07 mg/L NH4+-N in Hai River Basin). High pollution concentrations were often concentrated in dry North China, because water scarce basins in this region are more susceptible to human pollution loadings. Basins outsourcing water pollution were mainly developed economies that outsourced production and subsequent water quality impairments to other basins. This study highlights the interactions between water quality and supply chains.

Evaluation of adsorption performance and mechanisms of a highly effective 3D boron-doped graphene composite for amitriptyline pharmaceutical removal

Three-dimensional heteroatom-doped graphene presents a state-of-the-art approach for effective remediation of pharmaceutical wastewater on account of its distinguished adsorption and physicochemical attributes. Amitriptyline is an emerging tricyclic antidepressant pollutant posing severe risks to living habitats through water supply and food chain. With ultra-large surface area and plentiful chemical functional groups, graphene oxide is a favorable adsorbent for decontaminating polluted water. Herein, a new boron-doped graphene oxide composite reinforced with carboxymethyl cellulose was successfully developed via solution-based synthesis. Characterization study revealed that the adsorbent was formed by graphene sheets intertwined into a porous network and engrafted with 13.37 at% of boron. The adsorbent has a zero charge at pH 6 and contained various chemical functional groups favoring the attachment of amitriptyline. It was also found that a mere 10 mg of adsorbent was able to achieve relatively high amitriptyline removal (89.31%) at 50 ppm solution concentration and 30 °C. The amitriptyline adsorption attained equilibrium within 60 min across solution concentrations ranging from 10 to 300 ppm. The kinetic and equilibrium of amitriptyline adsorption were well correlated to the pseudo-second-order and Langmuir models, respectively, portraying the highest Langmuir adsorption capacity of 737.4 mg/g. Notably, the predominant mechanism was chemisorption assisted by physisorption that contributed to the outstanding removal of amitriptyline. The saturated adsorbent was sufficiently regenerated using ethanol eluent. The results highlighted the impressive performance of the as-synthesized boron-doped adsorbent in treating amitriptyline-containing waste effluent.