Provision Of Safe Drinking Water Research Articles

Integrated Analysis of Water Quality in Treatment Plants: Physicochemical and Biological Assessments

Water treatment plants (WTPs) play a crucial role in ensuring access to safe drinking water, essential for human health and well-being. This study focuses on the IPA Kedunguling, operated by the Regional Drinking Water Company Sidoarjo, which serves the residents of Sidoarjo city. The objective was to evaluate the water treatment process and quality using physical, chemical, and biological assessments in accordance with Ministry of Health Regulation No. 2/2023 and Government Regulation No. 66/2014. The process involves raw water intake at the Intake, followed by treatment at the WTP and distribution to residents. Laboratory tests revealed that chemical and biological parameters met regulatory standards; however, Total Dissolved Solid (TDS) levels exceeded permissible limits, highlighting a potential area for improvement. This study underscores the importance of continuous monitoring and optimization of water treatment processes to ensure the provision of safe drinking water to communities. Highlights : Water treatment plants ensure access to safe drinking water, vital for human health. Evaluation of IPA Kedunguling's water treatment process and quality according to regulatory standards. Laboratory tests identify areas for improvement, particularly in Total Dissolved Solid levels. Keywords: Water treatment plants, water quality assessment, regulatory compliance, drinking water safety, continuous monitoring.

Spatial and seasonal groundwater quality assessment for drinking suitability using index and machine learning approach

Spatial and seasonal evaluation and monitoring of groundwater (GW) quality is essential for the sustainable management of this priceless resource and the provision of safe drinking water. Nevertheless, GW quality appraisal was not given due attention in the current study area (flat terrain part of the Tana sub-basin). This study sought to assess the seasonal and regional physicochemical GW quality parameters for drinking appropriateness using the drinking water quality index (DWQI) and support vector machine (SVM). The main cations in both the dry and wet study seasons were, in decreasing order, Na+, Ca2+, Mg2+, K+, and Fe2+, according to the results. Conversely, the main anions were HCO3−, CO32−, Cl− or NO3−, SO42− and PO43−, ordered from higher to lower. During the two research seasons, Ca–HCO3 and Na–HCO3 were the predominant water types based on Piper diagram results. Reverse ion exchange and evaporation were the principal hydrogeochemical processes that control the hydrogeochemistry identified by Durov and Gibbs diagrams, respectively. Excellent GW quality class for drinking was demonstrated by the majority of geographical and seasonal DWQI readings over the two seasons. Nevertheless, during the rainy season, there was a noticeable decline in the GW quality condition around the northern shores of Lake Tana. Therefore, it is advised to implement comprehensive GW quality protection measures and improve system management to mitigate pollution to reduce health hazards in the examined region.

Plant-Wide Models for Optimizing the Operation and Maintenance of BTEX-Contaminated Wastewater Treatment and Reuse

Benzene, toluene, ethylbenzene and xylenes, collectively known as BTEX compounds, are significant emerging contaminants in municipal wastewater. Stricter effluent quality regulations necessitate their removal, especially with concerns about organic micropollutant concentrations. Water scarcity further underscores the need for wastewater treatment to ensure safe agricultural or drinking water supplies. Although biological treatment partially reduces BTEX levels through processes like biodegradation and sorption, additional purification using physico-chemical methods is crucial for substantial reduction. This paper aims to outline plant-wide simulation methods for treating BTEX-contaminated sewage and facilitating reuse, adhering to IWA Good Modelling Practice Guidelines. The model, built upon the MiniSumo process model, incorporates equations detailing BTEX metabolism and removal kinetics, informed by an extensive literature review. Using a variant of the Benchmark Simulation Model with granular activated carbon for water reuse, the study examines strategies for improving effluent quality and minimizing operational costs. These strategies include adjusting the sludge retention time and airflow to enhance BTEX degradation and stripping, respectively, and comparing maintenance approaches for the GAC tower.

Materials for sustainable metallic iron-based water filters: a review

AbstractWater pollution is calling for a sustainable remediation method such as the use of metallic iron (Fe0) to reduce and filter some pollutants, yet the reactivity and hydraulic conductivity of iron filters decline over time under field conditions. Here we review iron filters with focus on metallic corrosion in porous media, flaws in designing iron filters, next-generation filters and perspectives such as safe drinking water supply, iron for anaemia control and coping with a reactive material. We argue that assumptions sustaining the design of current Fe0 filters are not valid because proposed solutions address the issues of declining iron reactivity and hydraulic conductivity separately. Alternatively, a recent approach suggest that each individual Fe0 atom corroding within a filter contributes to both reactivity and permeability loss. This approach applies well to alternative iron materials such as bimetallics, composites, hybrid aggregates, e.g. Fe0/sand, and nano-Fe0. Characterizing the intrinsic reactivity of individual Fe0 materials is a prerequisite to designing sustainable filters. Indeed, Fe0 ratio, Fe0 type, Fe0 shape, initial porosity, e.g. pore size and pore size distribution, and nature and size of admixing aggregates, e.g. pumice, pyrite and sand, are interrelated parameters which all influence the generation and accumulation of iron corrosion products. Fe0 should be characterized in long-term experiments, e.g. 12 months or longer, for Fe dissolution, H2 generation and removal of contaminants in three media, i.e., tap water, spring water and saline water, to allow reactivity comparison and designing field-scale filters.

Degradation of prometryn during UV/persulfate process: Kinetics and disinfection by-product formation

Prometryn is one of the commonly used triazine herbicides and is also widely used for algae removal in aquaculture. This study investigated the degradation kinetics of prometryn via UV/persulfate (PS) oxidation and confirmed its adherence to pseudo-first-order kinetics, with a calculated rate constant (kobs) of 0.2358 min−1. The impact of PS concentration, water matrix (including background ions of Cl− and Br− and natural organic matter (NOM)), and solution pH on prometryn degradation were assessed. Results indicated an increase in prometryn degradation with raising concentrations of PS, Cl−, and Br−, especially evident at a PS concentration of 400 μm where complete degradation was achieved. Conversely, degradation decreased with increasing NOM concentration and pH. Radical scavenging experiments affirmed the promotion of prometryn degradation in UV/PS by both HO• and SO4−•, with SO4−• contributing over 70 % of the total free radical contribution. Evaluation of disinfection by-product (DBP) formation revealed trichloromethane (TCM) as the predominant DBP in non‑bromine water and tribromomethane (TBM) in bromine water. Thus, this study offers a theoretical foundation for UV/PS degradation of triazine herbicides in aqueous environments. The obtained results hold significance for controlling DBPs in subsequent water treatment processes, ensuring the provision of safe drinking water to the public and meeting the sustainable development goal 6.

URINARY SCHISTOSOMIASIS AMONG SCHOOL-AGE CHILDREN IN SELECTED RURAL COMMUNITIES IN HADHRAMOUT GOVERNORATE, YEMEN

Background: Urinary schistosomiasis is a potentially life-threatening public health issue in some areas of Yemen, particularly in Hadhramout rural communities. It is considered as one of the most common neglected tropical parasitic diseases. This study aimed to investigate the prevalence of urinary schistosomiasis and associated risk factors among school-age males and females in selected rural communities of Hadhramout, Yemen. Methods: A total of 450 students participated in this cross-sectional study. Urine samples were collected, then examined for haematuria and Schistosoma haematobium (S. haematobium) eggs using urine dipsticks and filtration technique respectively. To assess knowledge and practices regarding the transmission of urinary schistosomiasis, a pre-tested questionnaire was employed. Results: An overall (66)14.7% of participants tested positive for S. haematobium, and of those, 54 (12.0%) developed haematuria with a statistically significant difference (p=0.001). A total of 35(53.0% eggs/10 ml urine) had heavy intensity of infection, with a significant difference (p=0.001) between the different communities visited: high in Al-Dhulaya'a (18.2 eggs/10 ml urine) and low in Yabaith (6.1 eggs/10 ml urine). S. haematobium infection showed significantly higher (p=0.002) in males (13.8%) than females (0.9%), and increased with age of participants. Multivariate logistic analysis of risk factors were significantly associated with the prevalence of urinary schistosomiasis such as swimming activities (p=0.016), washing clothes (p=0.14), time spent in infested areas more than 15 minutes (p=0.012), habits of defecation/urination in open water sources (p=0.44), self-reported symptoms suggestive of the disease (p=0.03), participants with a history of illness (p=0.014), lack of awareness of schistosomiasis (p=0.050), and no prior treatment with praziquantel (p=0.001). Conclusions: Urinary schistosomiasis remains highly prevalent among schoolchildren in rural communities in Hadhramaut. The study highlights the urgent need to implement preventive measures, safe drinking water supply, proper sanitation, and vector control programs in order to reduce transmission and morbidity caused by schistosomiasis. Peer Review History: Received 3 December 2023; Revised 28 January 2024; Accepted 27 February; Available online 15 March 2024 Academic Editor: Dr. Marwa A. A. Fayed, University of Sadat City, Egypt, maafayed@gmail.com Average Peer review marks at initial stage: 6.0/10 Average Peer review marks at publication stage: 7.5/10 Reviewers: Dr. Owanaro Peter, Nigeria, Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Niger Delta University, Wilberforce Island, Bayelsa State, Nigeria. owonaropeter@gmail.com Dr. George Zhu, Tehran University of Medical Sciences, Tehran, Iran, sansan4240732@163.com

Remote Sensing & GIS Integration Bases Evaluation of Ground Water Quality in Telangana State, India

About 85% of drinking water needs in rural and 40% drinking water needs in urban areas are met from groundwater resources in Telangana state. There is a huge demand of ground water for different uses like agriculture, drinking and industrial purposes as the command area is very low in the state and it is evidenced by the fact that around 70% irrigation is dependent on ground water sources as compared to other surface sources like Tanks/Canals/Reservoirs etc. Climate change has affected the hydrological cycle with uncertain and increased variability in rainfall followed by with high rainfall in a short span of time resulting more surface runoff which ultimately decreases there charge to groundwater. Decreased recharge to the groundwater and excess withdrawal of groundwater has accelerated the depletion of groundwater resources there by resulting in stress on groundwater regime in terms of quality as well as quantity. The groundwater quality evaluation of Telangana state is carried out by using legacy quality data (2012-14) collected from Rural Water Supply & Sanitation Department, Government of Telangana. Contamination spread of groundwater is one of the most important concerns that have received attention at regional, local and global levels because of their importance on public health and its further impact in ecosystems. The spatial distribution of chemical parameters like pH, Total Dissolved Solids (TDS), Total Hardness (TH), Total Alkalinity (TA), Fluoride (F), Chloride (Cl), Iron (Fe), Nitrate (NO3) and Sulfate (SO4) are examined with respect to its contamination level. The spatial distribution and concentration of chemical elements is carried out by using spatial interpolation technique namely Inverse Distance Weightage (IDW) method from the point source data. The distribution maps reveal important information to understand the hot spot areas of the groundwater systems and for identification of potential areas for providing safe drinking water supply. Site specific water conservation and artificial recharge measures are needed to be taken up with scientific lines by using Remote Sensing & GIS techniques, for enhancing the groundwater storage and also improving its quality.

Concentration, spatial distribution, and non-carcinogenic risk assessment of arsenic, cadmium, chromium, and lead in drinking water in rural areas of eight cities of West Azarbaijan province, Iran.

Exposure to heavy metals through drinking water can cause significant adverse health effects. The aim of the present study was to investigate the concentration, spatial distribution, and assessment of non-carcinogenic risk attributed to exposure to arsenic (As), chromium (Cr), cadmium (Cd), and lead (Pb) in rural areas of eight cities of the West Azerbaijan province of Iran. Eighty-five water samples were taken from randomly selected drinking water wells in the rural areas, and the concentration of the heavy metals was measured by using standard methods. The concentration distribution maps were drawn, and the non-carcinogenic health risks for ingestion and dermal exposure pathways were calculated in four age groups (including infants, children, teenagers, and adults). According to the obtained results, arsenic is considered as the most worrying pollutant among the investigated heavy metals. The maximum measured concentration for arsenic was 371.9 μg/L, which is 37 times the maximum permissible limit. The results of the health risk assessment illustrate that exposure to heavy metals via dermal contact do not pose significant non-carcinogenic risks. However, the calculated non-carcinogenic risks for oral exposure to arsenic were very high and concerning. The highest hazard quotient for oral exposure to arsenic was related to rural of city G (82.64). It is recommended to take the necessary measures as soon as possible regarding the supply of safe drinking water in the studied areas.

Coastal groundwater quality prediction using objective-weighted WQI and machine learning approach.

The water quality index (WQI) is a globally accepted guideline to indicate the water quality standard of any groundwater resource. Water levels in existing groundwater sources are declining in several coastal zones. Therefore, for monitoring water quality and improving water management, the prediction and identification of groundwater status by an effective technique with higher accuracy is urgently needed. Therefore, this research aims to find an effective model for WQI prediction by comparing entropy and critic weight-based WQI (ENW-WQI and CRITIC-WQI) with multi-layer perceptron artificial neural network (MLP-ANN) technique and also to identify contaminated zones using GIS. Initially, 1000 water sampling datasets with concentrations of several water quality parameters of different coastal blocks of eastern India during 2018 to 2022 are considered for the estimation of ENW-WQI and CRITIC-WQI. It shows 65% and 67% of the samples are excellent to good for drinking. ENW-WQI and CRITIC-WQI-based MLP-ANN models have been established considering different data portioning and hidden neuron numbers. Input variables and appropriate dataset partitioning with hidden neurons for models obtained from correlation and trial-error analysis. Spatial distribution maps are also produced for calculated WQIs using inverse distance weighted interpolation approaches. Three fitting models are obtained: ENW-WQI-MLP-ANN, CRITIC-WQI-MLP-ANN-I and CRITIC-WQI-MLP-ANN-II. CRITIC-WQI-MLP-ANN-II model (data ratio 85:15, network structure 6-12-1, R2 = 0.986, NSE = 0.98, and error rate 0.49%) provides the best accuracy in WQI prediction. The GIS-based WQI maps record several areas related to drinking water quality. The results of this research can help in planning the provision of safe drinking water in the future.

Recent and future exposure of water, sanitation, and hygiene systems to climate-related hazards in Zambia

Abstract Climate change-driven water scarcity will lead to inequitable water, sanitation, and hygiene (WASH) access. However, current research in Zambia has ignored linking climate science dimensions to WASH access programs, thus limiting WASH-related climate action across the country. Here, we combine analyses of in situ datasets, modeling techniques, and systematic literature reviews to provide a solid climate science basis for WASH–climate action in Zambia. We find that in a warm near future climate, the stretch along the Copperbelt–Livingstone railroad from the north to the south of the country is expected to record an increase in heavy rainfall single-day events ranging between 50 and ≥150 mm. As such, bacterial diseases, such as cholera outbreaks, are expected to increase, especially in the Copperbelt, Central, Lusaka, Southern, and the Eastern Provinces. Models further predict a drier Zambia in the near and far future of up to 12 days year−1, suggesting a higher risk of increased aridity which will compound challenges to the provision of safe drinking water. The projected rapid population growth in these regions will also heighten the challenges of accessing safe drinking water. Strategic investments in enhancing WASH access in these areas should be considered a matter of urgency.

Assessment of the level of drinking water services that are perceived as safe in Metro City, Lampung

Self-supply water source systems are still widely used in Indonesia, such as in Metro City, Lampung, where only 5,05% of households are served by piped drinking water services. Metro City is known to occupy the fourth position as an area that has clean water quality problems in Indonesia. Therefore, this study aims to determine the variability of the level of drinking water services that are perceived as safe by households perceptions of safety, taste, appearance, smell, reliability, and availability of drinking water sources. The method used is longitudinal monitoring of drinking water sources in households with monthly surveys. The monitoring results show that during the 6 months of the surveys Non- self-supply systems (n=147) are known to be safer than self-supply systems (n= 115) with the percentage of 98% and 95%. The source of drinking water with the highest safety level is refill water and bottled water (100%) which is the most consistent level of safety. Thus, the results of this study are expected to increase public awareness and the local government concerned to obtain an equitable supply of safe drinking water.

Nanocrystalline iron hydroxide lignocellulose filters for arsenate remediation.

Harmful levels of environmental contaminants, such as arsenic (As), persist readily in the environment, threatening safe drinking water supplies in many parts of the world. In this paper, we present a straightforward and cost-effective filtration technology for the removal of arsenate from potable water. Biocomposite filters comprised of nanocrystalline iron oxides or oxyhydroxides mineralized within lignocellulose scaffolds constitute a promising low cost, low-tech avenue for the removal of these contaminants. Two types of iron oxide mineral phases, 2-line ferrihydrite (Fh) and magnetite (Mt), were synthesized within highly porous balsa wood using an environmentally benign modification process and studied in view of their effective removal of As from contaminated water. The mineral deposition pattern, minerology, as well as crystallinity, were assessed using scanning electron microscopy, transmission electron microscopy, micro-computed X-ray tomography, confocal Raman microscopy, infrared spectroscopy, and X-ray powder diffraction. Our results indicate a preferential distribution of the Fh mineral phase within the micro-porous cell wall and radial parenchyma cells of rays, while Mt is formed primarily at the cell wall/lumen interface of vessels and fibers. Water samples of known As concentrations were subjected to composite filters in batch incubation and gravity-driven flow-through adsorption tests. Eluents were analyzed using microwave plasma optical emission spectroscopy (MP-AES) and inductively coupled plasma mass spectrometry (ICP-MS). By subjecting the filters to a flow of contaminated water, the time for As uptake was reduced to minutes rather than hours, while immobilizing the same amount of As. The retention of As within the composite filter was further confirmed through energy-dispersive X-ray mappings. Apart from addressing dangerously high levels of arsenate in potable water, these versatile iron oxide lignocellulosic filters harbor tremendous potential for addressing current and emerging environmental contaminants that are known to adsorb on iron oxide mineral phases, such as phosphate, polycyclic aromatic hydrocarbons or heavy metals.

Assessing the carbon footprint of drinking water supply system in Indonesia: A case study of the Rebana Metropolitan Area

The development of the Rebana Metropolitan Area in the northern region of West Java aims to improve the economy in the area with improved infrastructure, including safe drinking water provision through a sustainable drinking water supply system (SPAM) that aligns with low-carbon development in Indonesia. This study presents a comprehensive assessment of the carbon footprint associated with SPAM. A dynamic system modeling approach was employed to calculate SPAM’s carbon footprint, considering key activities such as drinking water supply through piped networks and wells, bottled water distribution, potable water provision through refillable drinking water depots, and drinking water boiling. The model was calibrated and validated using data from Indramayu Regency, demonstrating its accuracy with an RMSPE value of 0.03% for the population and 4.89% for water treatment plant production capacity. By utilizing data from industrial zones (KPI) Patrol and Losarang, the model simulations revealed that under business as usual (BAU) conditions, the projected carbon footprint of SPAM in 2040 was 332,194 tCO2eq. To explore effective intervention strategies, three scenarios (I, II, and III) were simulated, incorporating different rates of wastewater recycling—10%, 20%, and 30% by 2030, respectively. The results demonstrated that implementing these scenarios would lead to reduced SPAM’s carbon footprints in 2040, with projected values of 283,275 tCO2eq, 246,586 tCO2eq, and 225,184 tCO2eq for scenarios I, II, and III, respectively. Bottled water exhibited the highest carbon footprint per unit volume of 28.847 kgCO2eq/m3.

INNOVATIVE APPROACHES TO UTILIZING WATER INFRASTRUCTURE IN RESORT ECONOMY

Topicality. The article is dedicated to the analysis of existing international experience in developing business activities utilizing water infrastructure. It explores the resort economy of Israel in comparison with Ukraine, using the city of Odesa as an example. The focus is on the similarities in demand for recreation and experiences, as well as disparities in water infrastructure provision between the two.Aim and tasks. The aim of the article is to analyze and incorporate the best world practices in resort economy to align with global trends and a competitive environment. The tasks of the article include identifying the infrastructure components for water supply in the resort economy, identifying disparities in the water management system of the Odessa region, and outlining strategies to overcome these disparities.Materials and Methods. The theoretical framework of the research was formed through the method of analysis and clarification of concepts. To identify key disparities in the water infrastructure that supports the functioning of the resort economy, statistical and comparative methods were employed.Research results. The article establishes that ensuring the population of the Odessa region with drinking water is one of the most crucial issues that must be addressed to preserve health, improve living conditions, and enhance the quality of life for the region's residents. The development of the Odessa region as a resort area is impossible without providing quality services for the supply of safe drinking water and access to modern wastewater systems. A key aspect of improving water resource management is the experience of Israel in implementing a self-financing system in the water sector, covering not only the supply of drinking water to urban populations but also servicing all participants in the water cycle.Conclusion. Water resource management is a key factor in the development of the resort economy. Innovative solutions such as wastewater treatment, desalination processes, and sustainable water management policies will enable meeting the growing demand for water while conserving limited natural resources. By combining institutional reforms with pricing mechanisms based on full cost recovery, promoting operational efficiency and implementing practical public-private partnerships, whereby direct budgetary subsidies in the resort economy sector can be phased out and self-financing of the water sector achieved.

Monitoring coliform contamination at Mahaweli river water intakes to ensure safe drinking water supply

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Optimization of two-phase synthesis of Fe-hydrochar for arsenic removal from drinking water: Effect of temperature and Fe concentration

Arsenic-contaminated water is a global concern that demands the development of cost-effective treatments to ensure a safe drinking water supply for people worldwide. In this paper, we report the optimization of a two-phase synthesis for producing a hydrochar core from olive pomace to serve as support for the deposition of Fe-hydroxide, which is the active component in As(V) removal. The operating conditions considered were the initial concentration of Fe in solution in the hydrothermal treatment (phase I) and the temperature of Fe precipitation (phase II). The obtained samples were characterized for their elemental composition, solid yield, mineral content (Fe and K), phenol release, As(V) sorption capacity, and sorbent stability.Correlation analysis revealed that higher Fe concentrations (26.8 g/L) ensured better carbonization during hydrothermal treatment, increased arsenic removal, reduced concentrations of phenols in the final liquid, and improved stability of the sorbent composite. On the other hand, the temperature during Fe precipitation (phase II) can be maintained at lower levels (25–80 °C) since higher temperatures yielded lower adsorption capacity. Regression analysis demonstrated the significance of the main effects of the parameters on sorption capacity and provided a model for selecting operating conditions (Fe concentration and phase II temperature) to obtain composite sorbents with tailored sorption properties.

Adsorptive removal of dissolved Iron from groundwater by brown coal – A low-cost adsorbent

Iron (Fe) contamination in groundwater is a widespread issue, necessitating the implementation of efficient removal methods to ensure the provision of safe drinking water. To contribute to the development of effective and sustainable solutions for addressing Fe contamination problems, this study investigated the potential of natural brown coal (BC) as a cost-effective adsorbent for removing dissolved Fe from groundwater. The study also explored the regeneration and reusability potential, as well as the effects of operational parameters, including pH, temperature, adsorbate concentration, and competitive ions, on the adsorption process. The equilibrium data fitted very well with the Langmuir model (R2 = 0.983), yielding a maximum adsorption capacity of 1.41 mg g−1. The adsorption kinetics were well described by the pseudo-second-order kinetic model. Notably, higher solution pH, Fe concentration, and temperature values led to higher Fe removal. The adsorption process exhibited endothermic behaviour, accompanied by an increase in randomness at the interface between the BC and the Fe. The BC was easily regenerated and maintained good adsorption capacity after four cycles of adsorption and regeneration. However, the presence of high-valent cations could affect its performance. Fourier-transform infrared spectrometry, coupled with structural and aqueous solution elemental analyses, revealed a synergetic adsorption mechanism, comprising ion-exchange with mono and divalent basic cations and complexation with functional groups. Overall, these findings highlight the potential of brown coal as a cost-effective adsorbent for Fe removal from groundwater.

Quantifying and assessing nitrogen sources and transport in a megacity water supply watershed: Insights for effective non-point source pollution management with mixSIAR and SWAT models

The expansion and intensification of human activities have resulted in excessive nitrogen (N) in rivers, causing worldwide concern. To effectively manage agricultural non-point source pollution and ensure a safe drinking water supply in watersheds, it is crucial to trace and quantify the primary sources and spatial distribution patterns of N. In response to the challenge of unclear sources and agricultural non-point source pollution, this study utilised the Bayesian isotope mixing model and Soil and Water Assessment Toolmodel to identify the dominant nitrate sources and transformation processes. These models were employed to quantify N retention by the mainstream and tributaries in the Bai River Basin, which directly impacts the safety of drinking water in Beijing. Total N (TN) concentrations in the Yunzhou Reservoir (4.22 ± 0.04 mg.L˗1) and Miyun Reservoir (2.88 ± 0.62 mg.L˗1) inlets in autumn and winter were V class (2 mg.L˗1) category as per GB 3838–2002 standards. This implies higher risks of eutrophication and algal blooms exceeding the standards at individual points and seasons in the Bai River. Fertilisers were the main nitrate source in the Bai River Basin, contributing 44.6% during the dry season and 62.9% during the wet season, suggesting that nitrate is more susceptible to leaching and runoff during rainy periods. Rainfall was not a major contributor, with only 3.2% and 2.9% originating from the Hebei and Beijing areas of the Bai River, respectively. Annually, the Bai River Basin exports loads of approximately 629.3 t.a˗1 of TN and 433.7 t.a˗1 of organic N (Org-N) from the Bai River Basin land to the river. The TN and Org-N loads at the final destination in the Miyun Reservoir were 521.3 t.a˗1 and 100.3 t.a˗1, respectively. Of the exported TN and Org-N, 17.16% and 76.87%, respectively, were retained in the river network. Consequently, N transformation occurred in the Bai River, with nitrification–denitrification being particularly dominant. Nitrification was more evident in the nitrate-enriched river.

Permeable Housing

This article explores how water acts on permeable housing and the documentary infrastructures that mitigate its impact and enable its flows. It does so through consideration of ongoing litigation brought by public housing tenants at the remote communities of Ltyentye Apurte (Santa Teresa) and Laramba in the Northern Territory of Australia for incomplete repairs and unsafe drinking water. I offer a distinction between pragmatist and functionalist housing, as competing concepts for framing, respectively, the impact of entrenched low expectations on remote housing performance and management and the minimum amenity that contemporary housing should provide. The litigation by Ltyentye Apurte and Laramba householders is notable for challenging the habitability standard that remote community housing must meet and for introducing the provision of safe drinking water as a matter of habitable housing. While water searches out cracks and refuses expulsion from the housing assemblage, necessitating repairs and maintenance, such mobility provides a challenge for allocating specific obligations to various settler colonial authorities that are collectively involved in maintaining house function. Drawing on close analyses of a series of legal decisions, the article examines how legal frameworks and intra-governmental funding arrangements are employed to eschew responsibility for safe drinking water inside remote community housing.

Evaluating the Major Sources of Surface Water Quality in Pokhara Metropolitan City, Gandaki Province, Nepal

The Mardi Watershed serves as a crucial source of drinking water for Pokhara Metropolitan City (PMC), Gandaki Province, Nepal, offering a wide range of ecosystem services including fishing, tourism, transportation, livestock support, and, notably, clean drinking water. However, the main river and its tributaries face degradation due to a blend of human and natural impacts. This comprehensive study rigorously examines the physicochemical and biological attributes that define water quality within the watershed. Recognizing the global importance of water quality for human well-being, this investigation specifically evaluates the suitability of water for drinking purposes. Twenty-three samples were collected and subjected to analysis for the twenty-one distinct physicochemical parameters. The analysis covers physicochemical parameters such as pH, water temperature, conductivity, total dissolved solids, alkalinity as well as concentrations of ions such as calcium (Ca2+), magnesium (Mg2+), sodium (Na+), potassium (K+), ammonium (NH4+), nitrate (NO3-), bicarbonate (HCO3-), sulfate (SO42-), and phosphate (PO43-), free carbon dioxide (CO2), chloride (Cl-), total hardness (TH), calcium hardness (CaH), magnesium hardness (MgH), iron (Fe2+), turbidity (Turb.) Simultaneously, biological markers including total coliforms were assessed. The overall water quality aligns with the World Health Organization (WHO) guidelines, a significant exception lies in microbial indicators. Microbial presence, likely a result of increasing anthropogenic pressures, is relatively elevated in most samples. Furthermore, the cumulative outcome reveals a Water Quality Index (WQI) of 22.04, indicating excellent suitability for drinking. Since, effective management strategies are crucial for ensuring a consistent and sustainable supply of potable water to the urban population, information obtained through this study can contribute to the sustainable management of water quality and maintaining a reliable supply of safe drinking water to urban communities.