Stable Supply Research Articles

EFFECTS OF LIGHT AT DIFFERENT DISTANCES AND POWER ON WHEAT (Triticum aestivum L.) AND BARLEY (Hordeum vulgare L.) GROWTH

Global population growth increases the need for efficient methods of maintaining a stable food supply. Light is one of the most important influences on plant growth and development. Artificial lighting elements used in agricultural applications have different effects on plants. This study analyzed the effects of metal halide (MH) lamps with a wavelength of 450 nm, at distances of 1, 1.5, and 2.5 m, on barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.) growth. Growing occurred in light magnification rooms without daylight, using 250, 400, and 600 W MH lamps as the only light source. Plants exposed to light for 13–14 h a day were harvested after 18 days. After harvest, the amount of electrolyte leakage, chlorophyll, carotenoid, and B, Cu, Mn, Zn, K, and Ca intake were determined using inductively coupled plasma optical emission spectroscopy (ICP-OES). The data were analyzed with the SPSS 22 Statistical Package program. Wheat and barley grown at different light distances and intensities showed statistically significant changes in mineral element uptake and plant chlorophyll levels. This research contributes to the optimization of agricultural productivity and the understanding of the interaction between light quality and other environmental parameters.

Application of Active Components such as DC Generators and Operational Amplifiers in Mechanical Design

DC generators and operational amplifiers have become increasingly important as the need for automation and precise control in mechanical engineering continues to grow. Since their invention in the 19th century, DC generators have played an important role in power systems, especially in applications that require a stable DC power supply. Meanwhile, since the 1960s, operational amplifiers have played an important role in analog circuits, and their applications cover a wide range of fields such as audio processing, signal conditioning, data acquisition and control systems. This paper explores the multiple applications of DC motors and operational amplifiers in mechanical systems and their integration through a literature review approach. It is found that these components not only improve the efficiency and performance of mechanical systems, but also provide higher control accuracy in areas such as robotics and industrial automation. In addition, with the continuous advancement of technology, the combination of the two is expected to realize innovations and breakthroughs in more fields. The research in this paper provides an important reference for the future innovation and development of mechanical engineering

Evolution characteristics and invulnerability simulation analysis of global zirconium ore trade network

The burgeoning demand for zirconium, driven by the rapid development of smart devices, low-carbon energy technologies, and other emerging industries, underscores the importance of understanding the dynamics of its global trade network. However, the evolutionary patterns of the international zircon ore trade network and its resilience to disruptions remain unclear. This study constructs the international zircon ore trade network from 2013 to 2022, analyzes its structural evolution at both the network and node levels, and evaluates its robustness in 2022 using five attack strategies: random node removal, random edge removal, edge degradation, targeted removal based on node degree, and targeted removal based on node betweenness centrality. Our findings reveal that: (1) the international zircon ore trade network exhibits a shift in the import market towards Asia, with the export market dominated by Spain, the United States, and Brazil. China plays a crucial role as a bridge connecting various countries, while Japan exerts significant influence within the network; (2) the network is particularly vulnerable to targeted attacks based on node degree and betweenness centrality, highlighting the potential for significant disruption following the removal of key nodes. This study provides valuable insights for ensuring the stable and sustainable supply and consumption of zirconium resources, informing the development of targeted policies for countries and relevant industries.

Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods

In response to the challenges posed by renewable energy integration, this study introduces a hybrid Attention-TCN-LSTM model for short-term photovoltaic (PV) power forecasting. The LSTM captures the sequence characteristics of PV output, which are then combined with the meteorological sequence features extracted by the Attention-TCN module. The model leverages the strengths of the TCN, the LSTM, and the self-attention mechanism to enhance prediction accuracy and construct reliable prediction intervals. Aiming to optimize both performance and efficiency, the PSO algorithm is used for hyperparameter optimization. Ablation studies and comparisons with other models confirm the effectiveness, accuracy and robustness of the proposed model. This hybrid approach contributes to improved renewable energy integration, offering a more stable and reliable energy supply. Future work will focus on incorporating intelligent systems for autonomous risk management and real-time control of dynamic PV output fluctuations.

Metabolite Profiling and Association Analysis of Leaf Tipburn in Heat-Tolerant Bunching Onion Varieties

The bunching onion is an important leafy vegetable, prized for its distinctive flavor and color. It is consumed year-round in Japan, where a stable supply is essential. However, in recent years, the challenges posed by climate change and global warming have resulted in adverse effects on bunching onions, including stunted growth, discoloration, and the development of leaf tipburn, threatening both crop quality and yield. Furthermore, as bunching onion belongs to the Allium genus, which includes globally significant vegetables such as onion and garlic, studying the impact of climate change on bunching onion serves as an ideal model. The insights gained can also be applied to other crops and regions. This study investigates the effects of different summer growth conditions on the metabolite profile of heat-tolerant bunching onions with dark green leaf blade coloration and examines their association with leaf tipburn. Pigment compound quantification, functional component analysis, leaf tipburn rate assessment, and widely targeted metabolome profiling were performed across two commercial F1 varieties, one purebred variety, and six Yamaguchi Prefecture-bred F1 lines under different growing conditions. The results obtained were subjected to comparative analyses based on the varieties and groups classified by high and low leaf tipburn rates. The results revealed that β-carotene accumulation peaked with May sowing and July harvest, while the highest accumulation of other pigment compounds was observed with May sowing and September harvest. Additionally, metabolome analysis related to leaf tipburn rates identified several organosulfur compounds, with gamma-glutamyl-propenyl cysteine sulfoxide emerging as one of the key compounds. Based on the intensity data, the fold change of this metabolite was calculated to be 1.66, indicating an increase in the leaf tipburn group compared to the control group. In the control groups, organosulfur compounds appeared to undergo turnover in preparation for stress response. In contrast, in the leaf tipburn groups, it is hypothesized that organosulfur compounds were converted into precursors of pungency, resulting in inadequate responses to stress. This study aims to elucidate the mechanisms through which organosulfur compounds transition into pungent compounds and to develop varieties with improved resistance to leaf tipburn.

"Bridge" interface design modulates high-performance cellulose-based integrated flexible supercapacitors.

Flexible supercapacitors offer significant potential for powering next-generation flexible electronics. However, the mechanical and electrochemical stability of flexible supercapacitors under different flexibility conditions is limited by the weak bonding between neighboring layers, posing a major obstacle to their practical application. In this paper, natural coniferous pulp cellulose was successfully modified with ethylenediamine and NiSe2/Cell-NH2/MoS2 cellulose flexible electrodes (NCMF) were fabricated by phase transfer and hydrothermal methods. The amino-modified cellulose (Cell-NH2) acts as a "bridge" between NiSe2 and MoS2, significantly enhancing the interfacial bonding strength of the flexible electrode. The integrated flexible electrode exhibited a high area capacitance (2475 mF/cm2), strong tensile strength (10.3 MPa), and excellent cycling stability (92.1 % capacitance retention after 2500 cycles). The sandwich-structured monolithic supercapacitor achieved both a high electrode capacitance (56.78 F/cm2) and a high energy density (1971.53 μWh/cm2), while maintaining long cycling life (72.73 % capacitance retention after 2000 cycles) and large deformation capability. This makes it suitable for stable power supplies in electronic products and opens new possibilities for the flexible wearable industry. This technology enables stable power supplies for electronic products and paves the way for advancements in the flexible wearable industry.

Synergistic effects of heterogeneous mature compost and aeration rate on humification and nitrogen fixing during kitchen waste composting.

Sludge mature compost (SMC) is notable for its high production, easy accessibility, and stable supply. This study investigated the impact of the SMC addition and different aeration rates on the humification and nitrogen fixing process during kitchen waste composting. The results demonstrated that addition of SMC prolonged the thermophilic phase, as a comparison, increased aeration shortened this phase. The addition of SMC and increased aeration enhanced humus formation and nitrogen retention. SMC introduced more amide and polysaccharide compounds into the compost, promoting the Maillard humification pathway. Additionally, both SMC and high aeration inhibited denitrification: the SMC reduced the abundance of the nirK gene, while high aeration decreased the abundance of nosZ gene. Network analysis revealed that higher aeration enhanced fungal interactions but diminished bacterial interactions. Conversely, SMC addition bolstered both bacterial and fungal interactions. The final compost product with SMC addition showed a 11.56%-44.19% reduction in antibiotic resistance gene content compared with the control group, and heavy metal contents remained within safe application limits. The combination of high SMC addition and high aeration achieved optimal humification and nitrogen retention, underscoring its potential as a promising solution for kitchen waste composting.

Accelerating the electrochemical performance of solid oxide fuel cells using a Ce(Gd, Bi, Yb)O2−δ diffusion barrier layer acting as an oxygen reservoir at high-current loading conditions

Ce(Gd, Bi, Yb)O2−δ with high oxygen storage capacity (OSC) facilitates stable oxygen supply to SOFCs under high current operation, leading to enhanced performance.

Techno-Economic Analysis of Power to Ammonia Production

This study introduces a novel methodology for conducting a techno-economic analysis of green ammonia production using mathematical models that meticulously parameterize plant units and technical specifications. The approach involves two key steps: first, identifying and modeling the essential components of green ammonia production, such as electrolyzers, ammonia synthesis units, and plant configurations; second, developing a non-linear optimization model to minimize the levelized cost of ammonia, payback period, internal rate of return, and return on investment. The model also incorporates constraints like maintaining minimum plant unit loads and optimizing electricity costs. By leveraging renewable energy through power purchase agreements, the study ensures a stable energy supply and carbon neutrality across the ammonia value chain. Two scenarios are examined: one with a user-defined electrolyzer configuration and another with an optimized configuration. In the latter, electricity consumption drops to 10 MWh per ton of ammonia produced, saving 60 GWh of energy annually, along with reductions in capital costs by 53% and operating costs by 10% compared to the first scenario.

Assessing Customer Satisfaction with Privatized Electricity Service Quality in Nigeria

The privatisation of electricity service delivery in Nigeria was more than ten years ago. The privatisation policy was in an attempt to ensure a stable electricity supply to the end users. The outcome of the power privation is being appraised by the paper via evaluation of the customer‟s satisfaction as one of the measuring factors of its performance. It is objectively an appraisal of the perception of the electricity service delivery and users as outcome of the privatisation of power supply. Relevant literature was sourced as secondary data and a conceptual framework that depicts indices of customer satisfaction was explored to substantiate the satisfactory level of the customer, the end user of electricity service delivery. An inventory of the outcome of electricity privatisation was also embarked on, sourcing information about the customers‟ satisfaction with the service quality of electricity service delivery privatisation from available relevant publications and social media. The paper in its empirical study looked at 397 sample size customers‟ satisfactory response to electricity service deliveryin Ekiti State as a case study. Considered their perception from the inception of the electricity privatisation policy in the past 10 years, from November 2013 to date in 2024. The paper, therefore, concluded in its submission, having garnered from the available information of the negative response of the customers perceptions. This is a reflection of the poor performance of power privatisationbefore and after the power privatization policy. The paper, given the foregoing, recommends the consideration of the dynamics in demography,spatial distribution and demand of power supply in the privatization process in Nigeria.

Intelligent active and reactive power control using multi-layer neural network based MPPT controller for grid tied solar PV system under fault conditions

The integration of renewable energy sources, particularly grid-tied solar photovoltaic (PV) systems, into the modern power grid has become increasingly prevalent. However, ensuring the reliable and efficient operation of grid-tied PV systems under various grid conditions, including fault scenarios, poses a significant challenge. In the event of grid faults or disturbances, traditional control methods often fall short in maintaining stable and reliable operation. This paper introduces a multi-layer neural network (MLNN) based MPPT controller that adapts intelligently to grid fault conditions, mitigating the impact on the grid-tied PV system's performance and providing low voltage ride through (LVRT). The research employs a detailed simulation framework on MATLAB to validate the effectiveness of the proposed controller under fault conditions. The LVRT capability of the designed system was analyzed and validated according to Indian grid code. The proposed controller leverages its capacity to learn and make real-time decisions to optimize the active and reactive power outputs of the PV system as per the grid code. Simulation results demonstrate that the proposed controller not only improves the fault tolerance of grid-tied PV systems but also enhances their performance, ensuring a stable and continuous power supply in the face of grid disturbances.

Các nhân tố ảnh hưởng tới rào cản năng lượng của các doanh nghiệp Việt Nam

This study analyzes the factors impacting energy constraints (EC) that Vietnamese enterprises face, based on World Bank survey data from businesses during the 2009 2023 period. Using a probit regression model, the study examines factors such as firm size, firm age, industry type, ownership structure, financial and institutional constraints, along with power outage occurrences, to identify their relationship with EC. The results show that firm size, manufacturing industry, product innovation, and financial and institutional barriers significantly impact energy constraints. Large enterprises, manufacturing firms, and those engaged in product innovation experience more energy-related challenges due to high energy demands and dependency on stable energy supply. Further analysis reveals differences between small and medium enterprises and large enterprises, as well as between energy-intensive and less energy-intensive industries. Meanwhile, firm age and ownership structure show no clear influence on energy constraints. Notably, financial and institutional barriers are key factors that increase energy constraints, hindering enterprises’ ability to invest in alternative energy solutions.

Investigation of the Effectiveness of Using Luffa Cylindrica to Reduce Water Consumption in Agriculture

Background: To achieve the Sustainable Development Goals: Zero Hunger, a stable and accessible water supply in agriculture is essential. The projected steady increase in population will contribute to a moderate increase in consumption, which in turn will require the development of technologies that increase soil productivity. With the increasing impact of global warming, droughts are becoming increasingly common in the northern region of Bangladesh. Notably, Bangladeshi farmers currently allocate about 37% of the total cost of rice production to irrigation. Objectives: The current study aims to overcome the problem of water shortage in agriculture, particularly in rice cultivation. It is expected that the use of biological sponge extracted from dried Luffa cylindrica will help retain water for its uptake by rice roots. That is, it is expected that by using Luffa cylindrica it will be possible to prevent or significantly reduce evapotranspiration and water seepage into the soil. Methods: This work is an experimental study on rice cultivation in soil with and without Luffa cylindrica. The study controlled the main factors contributing to water loss: evaporation and percolation, for the quantitative measurement of which different systems and methods were used. In addition, other extensive measurements related to irrigation were carried out and contribute to the understanding of the effectiveness/ineffectiveness of the studied approach to reducing water use. Results: A comparison of fields with and without Luffa cylindrica shows a marked contrast in water storage capacity. Initial observations indicate that integrating Luffa cylindrica into rice paddies improves water retention, thereby reducing losses due to evaporation and seepage. It was found that the irrigation frequency was above the optimum threshold to achieve the desired result. In addition, more water was required to fill the Luffa-containing field than the Luffa-containing field, as the dry Luffa cylindrica also had to be saturated. Despite these issues, the use of Luffa cylindrica resulted in water savings of 26.97%. Conclusion: improving soil moisture retention in rice paddies. By utilizing the fibrous structure of dry Luffa cylindrica, water losses due to evapotranspiration and seepage were significantly reduced, resulting in substantial water savings and reduced costs for farmers. The eco-friendliness and cost-effectiveness of Luffa cylindrica highlights its potential as a sustainable water management solution for agricultural practices. Its availability and ease of cultivation make it a viable option for farmers, with minimal investment required to implement the technique on a large scale.

Assessing the factors militating against the effective implementation of electronic health records (EHR) in Nigeria

This study assessed the factors militating against the effective implementation of electronic health records (EHR) in Nigeria, the computerization of patients’ health records with a lot of benefits including improved patients’ satisfaction, improved care processes, reduction of patients’ waiting time, and medication errors. Despite these benefits, healthcare organizations are slow to adopt the EHR system. Therefore, the study assessed the factors militating against the effective implementation of the EHR system, the level of awareness of EHR, and the utilization of electronic health records; it also investigated the factors militating against the effective implementation of EHR. This is a descriptive cross-sectional study conducted among members of staff of the University of Medical Sciences Teaching Hospital (UNIMEDTH). Purposive sampling was adopted to select the study participants, and a structured questionnaire was used for data collection. Statistical Product and Service Solutions (SPSS) version 27 was used for data analysis, R and Microsoft Excel were used for data visualization. Findings revealed that the respondents had a high level of awareness of EHR with an average mean of 1.29. The study revealed a low utilization rate for EHR (mean 3.01, SD 0.115) and data storage (mean 3.00, SD 0.231), indicating major problems with EHR implementation. Financial limitations (mean 2.63, SD 0.486) and insufficient ICT resources (mean 2.62, SD 0.516) are the main challenges. The regression analysis revealed that EHR utilization is highly impacted by awareness (F = 4.26, p < 0.008), accounting for 15.1% of the variance. Governmental assistance and financial constraints showed a statistically significant negative correlation (r=−0.04, p < 0.05), while inadequate internet connectivity and epileptic power supply showed a statistically significant positive association (r = 0.1, p < 0.05). The results show that, more government support is needed to alleviate financial constraints, and a stable power supply may enhance internet accessibility. The study concluded that epileptic power supply, poor internet connectivity, financial constraints, and other factors mentioned in the study militate against the effective implementation of electronic health records. It was recommended that the management should implement electronic health records effectively for efficient and effective health care delivery.

Testing the biogeochemical niche hypothesis using leaves, stems and roots of 62 Artemisia species across China

Abstract The biogeochemical niche (BN) hypothesis is based on the concentrations of the predominant elements of a given organism to be stoichiometrically matched in order for it to function adequately. However, it is unknown how BN is represented by different plant organs and to what extent environment or evolution affects BN. We measured C, N, P, K, Ca and Mg concentrations in leaves, stems and roots of 1022 individuals of 62 Artemisia species collected across China to quantify BNs of the three organs. The BN of leaves was offset from and smaller in volume than that of stems and roots. BNs of the three organs differed in their sensitivities to environmental gradients, and leaves were less responsive to environmental variation than stems and roots in both BN volumes and positions. Environmental gradients had larger effects on BN positions than on BN volumes of all three organs. The BN volumes and positions of leaves and roots had no phylogenetic signal, while stem BN had a weak signal, that is, repeated species divergences from various Artemisia branches explained most of the BN variation of the three organs. The BN hypothesis cannot be fully tested using the elemental composition of a single organ owing to different physiological mechanisms and diverse responses of BN among organs. At least in Artemisia, leaves are strongly constrained in a limited elemental niche space to support a relatively stable supply of elements for leaf functioning, especially photosynthesis. In contrast, stems and roots develop larger elemental hypervolumes also representing nutrient storage and other functions. The BNs of Artemisia showed different environmental responses between volumes and positions, allowing these species to adjust elemental concentrations while maintaining a stable overall elemental composition under different environmental conditions. Synthesis. In conclusion, BNs of extant Artemisia populations are determined mostly by short‐term phenotypic responses to current environmental conditions and/or genotypic variation, while the recently evolved species diversity results mostly from species‐specific and organ‐specific use of nutrients and little by early divergence in the phylogeny.

Experimental study of energy efficiency of kitchen electrical appliances for boiling water

Introduction. Steady growth in the number of powerful electrical appliances and devices in households leads to an increase in electricity consumption. It significantly affects the economic costs of consumers and the deterioration of the ecological situation in the environment. Problem. The cost of electricity tariffs for the population tends to be relatively steadily increasing, which makes the issue of energy efficiency particularly relevant for consumers. The use of energy-efficient technologies in everyday life allows reducing electricity costs and increasing the economic efficiency of households. Energy efficiency of household electrical appliances is a pressing issue for ensuring a stable energy supply in the context of growing electricity consumption. Goal. An analytical study of the operating features of kitchen electrical appliances for boiling water and an experimental study of their energy efficiency. Methodology. The energy efficiency of the most common kitchen electrical appliances for boiling water was analyzed through experimental studies. Results. In terms of energy efficiency, the flow-through thermopot turned out to be the best among the studied electrical appliances, followed by an electric kettle and a traditional thermopot. Practical value. The use of energy-efficient technologies in modern household appliances is an important task, especially in winter and in conditions of shortage of electric power during military aggression from Russia and large-scale destruction of critical infrastructure and power facilities in our country. Further research will help reduce energy consumption and increase the energy efficiency of household appliances.

Analysis on Influencing Factors of Grain Yield under the Grain Supply Chain in Heilongjiang

Limited agricultural production combined with the increasing food demand has led to the Grain Supply Chain instability and food supply conflicts, particularly in Heilongjiang province, a major grain-producing region of China. Increasing grain yield has become the key area of study among researchers. This study constructs a Multiple Linear Regression model based on Stepwise Regression analysis with R software and Eviews to investigate eight factors influencing grain yield in Heilongjiang province from 1992 to 2022 by utilizing methods such as White-test, Durbin-Watson Test, and Variance Inflation Factor to validate this model. According to the findings, an increase in Grain Sown Area, Effective Irrigated Area, and Value Added in Primary Industry, correlates with an increase in Grain Yield. In contrast, an increase in Disaster-Affected Areas and Employment in Primary Industry is associated with a decrease in Grain Yield. In addition, an in-depth analysis regarding the negative coefficient associated with Employment in the Primary Industry was conducted by integrating the Law of Diminishing Marginal Returns. It was concluded that the incompatibility of the initial hypothesis may be attributed to the educational level of Employment in Primary Industry and the efficiency of grain production. To establish a more stable, efficient, and flexible Grain Supply Chain system, it is recommended to enhance resource utilization, strengthen disaster monitoring, control inefficient labor productivity, and promote industrial collaboration to satisfy the increasing demand for boosted Grain Yield.

Provision of dental care in the military medical service of the armed forces of the Russian Federation during a military operation

This article analyzes the scope of services provided by a dentist within the military medical service of the Armed Forces of the Russian Federation during a modern armed conflict. The study included two stages: a prospective stage involving patient care (preventive oral cavity examinations in citizens mobilized for military service) and a retrospective analysis of dental care provided by the military medical service during a military operation (data from preventive examinations, oral sanitation plans for armed forces personnel, and reports from senior dentists of military districts). It has been established that the need for oral sanitation among career military personnel averages 72% and reaches up to 81% among volunteers and citizens mobilized for military service, increasing the workload for both military and hospital dentists. On average, 85.4% of armed forces personnel require outpatient dental care, with each individual having an average of 5.6 teeth requiring treatment: 3.8 for caries, 0.8 needing endodontic treatment, 1 tooth requiring extraction, and 7.4 teeth needing restoration among those requiring prosthetics. It was noted that the critical factors were the nature of combat operations, the workload of medical evacuation stages, and the availability of various resources in the regimental aid station or the medical company of a brigade. These factors often hinder the full deployment of dental equipment and the ability to provide treatment for oral disorders, both on an elective and emergency basis. Satisfactory conditions for this type of medical care are achievable only in a dental office within a separate medical battalion or a special task medical detachment. To improve the provision of dental care to armed forces personnel by the military medical service of the Armed Forces of the Russian Federation during a military operation, the authors propose the following. Dental offices should be equipped with portable turbine dental units, which have proven to be highly effective in real combat conditions, and with portable dental X-ray machines to significantly improve the quality of diagnostics and treatment of dental disorders. In addition, given the challenges of restocking medical consumables, dentists should ensure their timely requisition and monitoring their receipt, since only 36.6% of medical units are equipped with standard dental consumables, necessitating urgent measures to establish a stable supply system.

Deep-Transfer-Learning Strategies for Crop Yield Prediction Using Climate Records and Satellite Image Time-Series Data

The timely and reliable prediction of crop yields on a larger scale is crucial for ensuring a stable food supply and food security. In the last few years, many studies have demonstrated that deep learning can offer reliable solutions for crop yield prediction. However, a key challenge in applying deep-learning models to crop yield prediction is their reliance on extensive training data, which are often lacking in many parts of the world. To address this challenge, this study introduces TrAdaBoost.R2, along with fine-tuning and domain-adversarial neural network deep-transfer-learning strategies, for predicting the winter wheat yield across diverse climatic zones in the USA. All methods used the bidirectional LSTM (BiLSTM) architecture to leverage its sequential feature extraction capabilities. The proposed transfer-learning approaches outperformed the baseline deep-learning model, with mean absolute error reductions ranging from 9% to 28%, demonstrating the effectiveness of these methods. Furthermore, the results demonstrate that the semi-supervised transfer-learning approach using the two-stage version of TrAdaBoost.R2 and fine-tuning achieved a superior performance compared to the domain-adversarial neural network and standard TrAdaBoost.R2. Additionally, the study offers insights for improving the accuracy and generalizability of crop yield prediction models in diverse agricultural landscapes across different regions.

Spatial and temporal distribution of arsenic concentration in rural drinking water and health risk assessment in Northern China from 2013 to 2022: a case study of Inner Mongolia Autonomous Region

BackgroundBy monitoring arsenic levels in rural drinking water in Inner Mongolia Autonomous Region from 2013 to 2022 and evaluating their health risks, this study provides a basis for further developing strategies to promote public health.MethodsOne stable centralized water supply point was randomly selected in each township of Inner Mongolia Autonomous Region. One finished water sample and 1–3 tap water samples were collected at each supply point. Water samples were collected once during the dry season (May) and once during the rainy season (August-September). Mann-Whitney U test was used to compare arsenic concentrations in drinking water from different types of water sources, and Kruskal-Wallis test was used to compare arsenic concentrations in drinking water across different years. Environmental health risk assessment was conducted using the health risk assessment model recommended by the US Environmental Protection Agency (USEPA).ResultsOverall, arsenic concentrations in rural drinking water were higher in the central-western part of Inner Mongolia Autonomous Region compared to the eastern part. From 2013 to 2022, there was a notable decreasing trend in arsenic concentrations in rural drinking water, with over 98% of water samples meeting arsenic standards by 2022. During 2013–2019, arsenic concentrations in drinking water sourced from groundwater were consistently higher than those from surface water sources (P < 0.05). Hazard quotient (HQ) values for the entire population were below 1, and lifetime cancer risk (LCR) values exceeded 1 × 10− 6. Sensitivity analysis indicated that drinking water arsenic concentration contributed the most to health risks for the population.ConclusionDuring 2013–2022, through concerted efforts by the government and the people, excessive arsenic levels in rural drinking water have been significantly reduced, resulting in decreased health risks for the population. However, some carcinogenic risks still exist.Therefore, the next critical step in improving water quality in the region involves further optimizing methods such as coagulation, adsorption, or ion exchange to remove arsenic from drinking water.