Hasil untuk "Water supply for domestic and industrial purposes"

Shivam Singh, Nijendra Pratap Singh, Sharad Agrawal et al.

Abstract Considering the vast ability of White-rot fungi (WRF) enzymes to degrade a wide range of resistant contaminants and polymers, much interest has been evinced in the use of WRF and their enzymes in several environmental matrices. Bioremediation using microorganisms or their enzymes offers a promising approach to treating environmental pollutants by breaking them down or converting them into less harmful or non-toxic forms. This biological process effectively reduces the toxicity and environmental impact of various contaminants. This paper investigates the mechanisms underlying WRF’s ability to break down diversity of contaminants with focusing on the roles of their enzymatic resources. In contrast to traditional methods of pollution control, which often involve costly, chemical-intensive processes that can generate secondary pollutants, WRF offers a sustainable and economical alternative. They have the unique ability to degrade the various organic compounds; hence they are considered as nature’s best cleaners for breaking down stubborn organic matter. This review contains studies published from 1995 to 2025, providing a comprehensive overview of the enzymatic mechanisms, pollutant degradation pathways, and emerging applications of WRF in bioremediation like wastewater treatment, dye degradation organic pollutant degradation, plastic degradation and lignocellulosic biomass degradation with lignocellulolytic enzyme production is explored. The oxidative breakdown of chemical bonds by WRF not only depolymerizes complex pollutants but also contributes to their complete mineralization, presenting a promising approach for environmental cleanup, with that this article presents new opportunities for addressing environmental pollutants and then waste management by mycoremediation.

Yadviga Tynchenko, Vladislav Kukartsev, Alexey Gladkov et al.

Introduction. Mining requires water treatment and wastewater processing, abstraction and discharge during mining increases consumption several times. Since water consumption in mining and processing is usually associated with domestic, industrial and technical needs, the need for water supply systems required for water treatment increases. Water from different sources can be used for treatment: incoming water, process and reused water, and wastewater. But the water obtained from any of the sources must meet all the norms and requirements. Water quality is determined by physical, chemical and bacteriological properties. The main directions for improving water consumption by mining enterprises are to reduce the consumption of drinking water from rivers, lakes and municipal water supply, as well as to expand the use of mine and quarry water for domestic and technical needs. Materials and methods. As training data for training the neural network, a dataset that includes water quality data obtained from fresh water sources was selected for the methods work, and using machine learning, develops a model that predicts whether the water is suitable for technical use in mines. This dataset includes 2293 values (samples) as well as 9 attributes. Correlation, neural network, and decision tree methods were used to build the models in this study. Results. Various machine learning methods (neural network and decision trees) were used to build a predictive model to assess the quality of water that would be suitable for use in the mining industry for technical purposes. With the help of the built models were processed data obtained from public sources, when analyzing which it was found that the method of decision trees was more accurate. The constructed model, for determining dependencies, thus, has high accuracy (small error). To increase the practical significance of the study, a number of transformations of the initial data set were carried out, in particular, an experiment with the division of attributes into groups of importance, in relation to the data, taking into account the subject area. The results obtained made it clear that checking only for hazardous impurities does not guarantee the suitability of water, but almost completely excludes (low significance factor) samples with impurities that do not meet the requirements, and the model can have practical significance. Allocation of the group for rapid quality determination, showed that for the express test, in an emergency situation or under time constraints, the possibility of practical use of the obtained model, has a justification, due to the small error. In general, the conducted experiments have shown that when taking into account the costs (total) for data collection, it makes sense to use models, taking into account the reduction of collected data, on the parameters (factors) of technical water. Discussion. In general, on the basis of the conducted research, we can talk about the successful application of machine learning methods in determining the suitability of technical water in the mining industry. During the experiments, the decision tree method performed particularly well, with the lowest error values. In addition, further work can be carried out to reduce the error in the models, in particular, by possibly increasing the number of attributes, as well as more fine-tuning of the applied machine learning methods. Conclusions. The authors conclude that machine learning techniques can be successfully integrated to determine the quality and suitability of process water in the mining industry in today’s world. Resume. The paper compares machine learning methods such as decision trees and neural network method. The comparative analysis of these methods and their quality of information processing is shown on the example of a set of data on water quality in the mining industry. With the help of built models were processed data obtained from open sources, when analyzing which it was found that the method of decision trees was more accurate. The constructed model for determining dependencies has high accuracy (small error). Suggestions for practical applications and future research directions. This study can form the basis for research in this or related fields to conduct further studies on the reliability and accuracy of using machine learning to predict the quality of water used in the mining industry. Continued work in the above direction may be the rationale for wider use of the above methods to improve various meaningful production performance in this or related areas.

Abhijeet Das

Eman Radi Sadik, Basma Mohamed Eldakiky, Randa Eslah Khalifa et al.

Abstract Hydrogels are typically 3D networks of hydrophilic polymers, which can hold a specific amount of water. They have recently been utilized to draw freshwater in forward osmosis (FO) desalination processes. In this study, we looked at how adding different amounts of graphene oxide (GO) nanosheets to sodium alginate/polyvinyl alcohol (SA/PVA) hydrogel affects its ability to draw clean water in the FO desalination process. The formed SA/PVA/GO hydrogel was characterized by swelling measurements, scanning electron microscopy, compression strength testing, Fourier-transform infrared spectroscopy, and X-ray diffraction to determine the optimum GO content. Then, the optimized SA/PVA/GO hydrogel was applied as a draw agent in an FO batch cell that we used in our earlier studies. The results showed that the optimal GO/total cross-linked polymer blend mass ratio was 0.0025, which augmented the swelling ratio of the neat hydrogel from 1676 to 3610 after 1 h and from 5470 to 5689 after 24 h. Moreover, this ideal mass ratio increased the FO water flux from 0.335 L/m2.h to 0.646 L/m2.h in an hour.

Alejandro Rosas-Ramón, Rigoberto Saavedra-Trujillo, Miguel Ángel Solís-Jiménez et al.

The main objective of this article is to develop and validate a simulation model using SIMIO® software for the current water network in the city of Huatusco, Veracruz, in order to analyze its consumption and distribution for different sectors: domestic, urban, commercial, industrial, residential, and social interest. To this end, the discrete simulation methodology implemented by Law and Kelton was used, which included the characterization of the infrastructure, the collection of historical consumption data, and the construction of a model representing the supply cycles, with the purpose of evaluating usage patterns. Once the model was simulated, it was validated against the real system using a paired t-test. The result of this work is a statistically validated model that can serve as a support tool for decision-making in the city's water management, facilitating the projection of future scenarios and the detection of possible imbalances in distribution.

Elijah Musonda, D. Musenge

All water sources used for domestic purposes must be safe and meet the World Health Organization’s (WHO) water quality standards. In most of the developing countries, shallow wells are critical in providing water for communities in settlement areas. However, poor sanitation and industrial activities can cause multiple contamination both from fecal matter and chemical effluents, which affects water quality. This study assessed water quality from shallow wells and tap water sources in Kyawama of Solwezi District of Zambia. Analysis of pH, conductivity, turbidity, microbial contamination, and chemical pollutants revealed substantial differences after the analysis. Tap water generally met WHO and Zambian outlined water safety standards, while shallow well water exhibited high contamination levels of coliform bacteria, specifically E. coli. The Water Quality Index (WQI) affirms that shallow well water from Kyawama compound is unsafe and could pose a risk to the people consuming untreated, as the WQI values indicate poor to unfit for human consumption status compared to the excellent to very good quality of kiosk tap water. The research strongly recommends that the community should by all means avoid using untreated shallow well water for drinking until it is properly treated or boiled properly. Furthermore, the study advocates for improved sanitation infrastructure guided by the local authorities, regular clean and safe drinking water should be supplied to this area, regular water quality monitoring, and public education programs to enhance overall water quality and public health in the area.

Serhii Vdovenko, Davyd Vdovenko

The article provides a comprehensive hygienic evaluation of drinking water quality in both existing and prospective domestic water supply systems of Samarkand. The research analyzes key hydrochemical and microbiological indicators, emphasizing the implications of anthropogenic and abiotic contaminants found in local water sources. The study utilized extensive analytical data derived from over 720 samples collected from wells, clean water reservoirs (CWR), and the Zarafshan River, resulting in approximately 6480 laboratory determinations covering microbiological parameters, toxicological elements, organoleptic properties, and radioactive  contaminants. Results indicate that the groundwater primarily serving Samarkand is generally safe, showing minimal microbial contamination and compliance with established hygienic standards. Groundwater quality has remained consistently high, without significant anthropogenic pollutants detected. However, the assessment revealed a notable deficiency in fluoride concentrations (0.14-0.28 mg/L), raising concerns regarding increased risks of dental caries among the local population. Additionally, certain local water intakes demonstrated increased hardness and mineralization levels due to natural geological processes, particularly noticeable at the Bolibaland and Chupon-ota  water  intakes. The research highlights the necessity for maintaining rigorous sanitary protection measures, especially due to ongoing anthropogenic impacts such as agricultural activities and uncontrolled excavation operations near the water intakes. Furthermore, long-term data analyses (1990-2024) suggest potential fluctuations in groundwater mineralization linked to climatic variations and irrigation practices affecting the Zarafshan River's hydrological regime. Conclusively, the current Samarkand water supply sources are robust and reliable, yet the establishment of additional water intakes, especially near Chubot village on the Zarafshan River, is recommended. This strategic development could significantly enhance the sanitary reliability and long-term sustainability of the city's water supply infrastructure, ensuring public health safety and improving overall water quality management.

Muhammad Wajid Saleem, Samar Ali, Muhammad Usman et al.

ABSTRACT Forward Osmosis (FO), a membrane desalination technology and Capacitive Deionization (CDI), an electrically operated desalination technology, are numerically integrated utilizing four different configurations for the high-water recovery rate and ultrapure water production from brackish water resource. To minimize the wastewater rejection, the CDI desorption stream is continuously fed to the FO unit, efficiently recovering the remaining freshwater. To produce ultrapure water, freshwater stream obtained from FO is provided to the CDI cell, which adsorbs the remaining dissolved solute particles. These two configurations serve the purpose of both industrial as well as domestic water supply requirements. Continuing this concept, the formation of the other two configurations allows us to obtain fresh water and ultrapure water simultaneously and up to a 90% freshwater recovery rate for the areas with inadequate supply. The performance parameters to assess the integration are the Water Recovery Rate (WRR) and Specific Energy Consumption (SEC). The first configuration (CDI-FO), proposed for a high freshwater recovery rate, resulted in 79.33% WRR with an SEC of 0.689 ${\bi \; }{\rm kWh}/{\rm m}^3$kWh/m3. While, for the second configuration (FO-CDI), 34.25% water was recovered as 2.87 ppm ultrapure water along with 34.25% freshwater. The third proposed configuration (CDI-FO-CDI) had a WRR of 79.33%, 14.67% of which was recovered as ultrapure water of concentration 2.86 ppm. The fourth configuration (CDI-FO-FO) developed for high water recovery, removed the maximum of water from the feed stream with a WRR of 91.33% and remained energy-efficient, consuming an SEC of 0.908 $\; {\rm kWh}/{\rm m}^3$kWh/m3. GRAPHICAL ABSTRACT

S. H. Ahmed, M. Abed, S. F. A. Sharif et al.

The Tigris River is a major source for supplying water for various purposes (drinking, domestic, industrial, agricultural, and fishing) for many cities and villages, and evaluating its water for human use is an important goal. For assessment purposes, nine stations, nine elements, four eco-health pollution indices, and a health risk assessment model were chosen to evaluate the Tigris River's water environmentally and healthily in three governorates, namely Nineveh, Salah Al-Din, and Baghdad, in April 2023. The results of pollution indices like the heavy metal pollution index, metal index, synthetic pollution index, and Nemerow Index showed that the Al-Qayyarah and Baiji sites were distinguished by higher values compared to the other stations. High concentrations of cadmium and lead, above the permissible limits for drinking water according to the World Health Organization, have clearly affected the values of pollution indicators. This research also showed that there are non-carcinogenic risks to children from drinking water in the Qayyarah and Baiji stations due to the hazard quotient exceeding 1, while there are no risks to adults. Regarding the use of Tigris River water for bathing purposes, the risk quotient value was <1 for all study stations, indicating that there are no risks to children and adults.

Maria Latif, Iqra Nasim, Mubeen Ahmad et al.

Abstract Contaminated drinking water poses a significant threat to public health, particularly in urban areas where industrial and environmental pollutants may affect water quality. However, there is a lack of comprehensive studies that evaluate the specific health risks associated with harmful metal contaminants in drinking water. This study seeks to address this gap by assessing water quality and metal contamination using pollution indices and human health risk assessments. The findings will help to identify potential health risks for urban residents and guide the development of targeted interventions and improved water management strategies. The groundwater samples were collected from five different zones in Kasur rural area. A total of 25 samples were collected by random sampling from hand pumps during 4 months (March–June, 2021) for determining various physiochemical attributes (pH, electric conductivity, turbidity, total hardness, chloride, and phosphate) and potentially toxic elements (arsenic, cadmium, and lead) using standard protocols. Results revealed that almost all the physicochemical attributes were close to the World Health Organization (WHO) guidelines. The water quality assessment revealed that pH levels ranged from 7.4 to 9.0, electrical conductivity (EC) between 150 µS/cm and 800 µS/cm, and average turbidity of 12 ± 3.29 NTU, total hardness varied from 200 to 1000 mg/L. Chloride and phosphate concentrations averaged 304 ± 1.28 mg/L and 4.51 ± 1.99 mg/L, respectively. Cadmium levels ranged from 0.15 to 0.53 mg/L, while lead and arsenic concentrations reached up to 7.47 mg/L, exceeding the WHO guidelines. Heavy metal pollution index (HPI) values of all sites were less than critical value of 100. However, by considering the HPI classes, all the locations had high HPI (> 30) class indicating critically polluted water with heavy metals. Through exposure to drinking water, heavy metals had a significant impact on non-carcinogenic risk (HI > 1), according to the hazard index values determined by the human health risk analysis for children, infants, and adults. As compared with metals carcinogenic risk values, lead posed high risks to adults than children and infants as mean CR values for adults, children, and infants were 1.48E + 00, 1.40E + 00, and 7.60E-01, respectively. It is suggested that for drinking water supplies, there is need of installation of treatment plants in the industrial areas to minimize the risk of metal contamination and health issues.

Omirzakova M., Sergeyeva A. , Ramazanova N. et al.

The aim of the research was to analyze the climate comfort and assess the recreational potential of river basins for the development of rural tourism in Aktobe Region, Kazakhstan. The ArcGIS 10.5 software was applied to conduct tourist and recreational studies in the target watersheds. Methodologically, the research included two stages. The first one comprised an overview of the available data on local hydrology, terrain (slope degrees), and climatic factors. The efforts allowed creating four thematic maps based on ArcGIS 10.5 SRTM (Shuttle Radar Topographical Mission) imagery of the basins in question. The second stage revealed the tourist and recreational efficiency of river massifs, specifically allowed evaluating the recreational use of rivers as per the proposed methodology. It was found that surface water bodies are not used effectively enough in rural tourism development in the region, i.e. that this type of touristic services has not yet progressed due to numerous issues hindering their spreading, including the underdeveloped social and engineering rural infrastructure, poor quality of road network and transport communications. All these lead to low attractiveness, diminish the effectiveness of rural ecology preservation measures, as well as complicate the organization and creation of proper tourist accommodations. To analyze the possibilities of rural tourism development in specific areas, a special tourist and recreational assessment was carried out within the framework of the research. According to climate index characteristics, the dynamics of the region’s climatic favorability was determined with the main conclusion that it is the poor infrastructure development in Aktobe Region settlements that prevents a full scale expansion of rural tourism in the target river basins

N. Tran, D. La

The Ray River is an important river system in Ba Ria-Vung Tau Province, Vietnam, supplying water for domestic, agricultural, and industrial purposes, thereby facilitating the province's economic development. The research was executed in 2024 across 9 watersheds, comprising 5 sites on the Ray River and 4 sites on the Ray River reservoir, throughout both the rainy and dry seasons. The findings documented 111 species of zooplankton, categorized into 50 genera, 13 orders, and 5 primary groups: Protozoa, Rotatoria, Cladocera, Copepoda, and Ostracoda. The research noted variations in zooplankton communities throughout the two seasons, suggesting saline intrusion at specific locations along the Ray River during the dry season. The Shannon-Wiener biodiversity score varied between 1.95 and 3.43, whereas the Pielou Evenness index consistently exceeded 0.8. The biological indicators of zooplankton communities indicate that most aquatic systems exhibited generally clean water quality, with only two locations demonstrating moderate pollution levels (α-mesosaprobe) during the dry season. The findings indicate that the aquatic environment in the Ray River system, encompassing both the river and reservoir, satisfies the water supply criteria for supplying domestic water and irrigation water in Ba Ria-Vung Tau Province. The study suggests utilizing zooplankton as an indicator for precise water quality scenarios, owing to their sensitivity to environmental fluctuations and brief life cycles. This would also offer a cost-effective approach for environmental monitoring and management of the river system.

J. Silva

Due to climate emergencies, water stress, and fast-growing populations, many cities around the world are adopting wastewater reclamation and reuse to improve the water supply for their residents. The purpose of the paper was to investigate the effectiveness of expanding wastewater reclamation and reuse as a solution to water supply challenges for future cities. It used a systematic review of the literature to evaluate and synthesize the available evidence in support of wastewater reclamation and reuse for future cities. A model known as PRISMA was used to identify the most appropriate articles for inclusion in the study. Out of the 105 studies, a total of 46 articles were selected for analysis based on their relevance, content validity, and strength of evidence. The findings indicate that wastewater reclamation and reuse create additional sources of water for both domestic and industrial use, reducing the overall pressure on the natural water sources. Wastewater reclamation and reuse effectively increase water supply for future cities while minimizing pressure on natural resources and promoting environmental sustainability.

حسین ملتفت, مرضیه شهریاری

مقدمه: پژوهش حاضر با هدف تبیین جامعه شناختی نگرش­ها و ادراک خطر سیلاب از طریق واکاوی نظام معنایی سیل زدگان در استان خوزستان انجام شده است. روش: در مرحلۀ کیفی پژوهش از روش نظریۀ زمینه‌‌ای (رویکرد سیستماتیک) استفاده شد. جامعۀ مطالعه‌شده، خانواده­های سیل زدگان استان خوزستان است. داده­های این پژوهش از طریق مصاحبة عمیق و نمونه­گیری هدفمند- نظری با 25 نفر از ذی­نفعان مرتبط با سیلاب، گردآوری شده و برای تحلیل داده­ها از پنج مرحلة کدگذاری باز و تشخیص مفاهیم، توسعة مفاهیم درجهت ابعاد و ویژگی­ها، تحلیل داده­ها برای زمینه و واردکردن فرایند به تحلیل و یکپارچه سازی مقولات استفاده شد. در بخش کمی با توجه به قضایای منتج از بخش کیفی، پرسش نامه­ای تنظیم و در اختیار 484 نفر از شهروندان مناطق سیل­زده قرار گرفت. در بخش کیفی بعد از کدگذاری، هفت مقولة اصلی از داده­ها پدیدار شد. یافته ­ها: مدل ظهوریافته شامل سه بعد شرایط، کنش- تعامل­ها و پیامدهاست. بعد«شرایط» شامل ضعف نهادهای دولتی و غیردولتی در خدمات رسانی، ضعف مدیریت بحران در خدمات­رسانی و ... به عنوان شرایط علی؛ شوک­های محیط زندگی، آسیب پذیری اقتصادی خانواده، عملکرد ضعیف سازمان­های دولتی و غیردولتی در ارایه آموزش­های ایمنی- بهداشتی، بعد «کنش-تعامل»، شامل بازخورد سیل زدگان، عدم دانش و آگاهی در خصوص سیلاب، ادراک خطر سیل، دستپاچگی اهالی روستا و .. بعد از بین رفتن سرمایه اجتماعی (مردم نسبت به مسئولین)، خسارت به اموال، فقیرتر شدن افراد است که حول یک مقولة هسته به نام «تبعات اجتماعی- اقتصادی سیلاب» شکل گرفته­اند. همچنین در بخش کمی براساس نتایج حاصل از یافته­های توصیفی در بخش کمی در سیلاب اخیر وضعیت سرمایه اجتماعی در ابعاد اعتماد و همبستگی اجتماعی قابل تحلیل می باشد.

Kaveh Ostad-Ali-Askari

Abstract Sustainable improvement is related to several key variables that count as solid and secure positions. Currently, the group of hazardous substances and inappropriate soils has created one of the most important issues of insecurity against masculinity. Consequently, unsafe substances and hazardous products have been unusually monitored by various countries. Although the safe evacuation of hazardous wastes has consistently remained an issue, the increase in collections and overall estimates of the oppressive situation created in inapplicable periods and the progress of our data and thinking about the contrasting effects of dangerously bad backgrounds on anthropological well-being and conditions has predetermined that the unsafe overflow group will continue during the period of the highest protection programs at the present time. In order to conduct this research, the management of hazardous substances and unsafe goods that are considered as wasteful waste will be properly portrayed in this research.

yahya parvizi, Mahmood Arabkhedri

In the analysis of the relationships between precipitation, flow and erosion events, large and important events that occur with a relatively long return period have a very high contribution to the sedimentation of the entire watershed. Today, the analysis of these events and their mutual behavior has been the focus of researchers. Dehgin representative and paired watershed is one of twelve representative and paired watersheds of the country, which are designed and equipped with the aim of obtaining basic hydrological data and other data needed for watershed management and also evaluating watershed management operations. However, comprehensive study has not been done to analyze and evaluate the quantity and quality of monitored data and data mining of climatic data, flow and soil erosion. In this research, while introducing precipitation extreme events, their impact on flow and soil erosion values in sample and control sub-watersheds of Dehgin watershed were compared. The results showed that data sufficiency in climate and flow monitoring units made it possible to provide a suitable and competent analysis of simultaneous rainfall and flow data as well as the comparison of control and sample sub-watersheds. Also, in the relevant rainfall and erosion events, clear and valuable analyzes of the difference in the behavior of the sample and control sub-watersheds can be observed against rainfall events. But the investigation of erosion and flow in the mentioned sub-watersheds was faced with few comparable scenarios. This shows that with the continuation of data collection in the long term, generalizable data can be obtained from this representative watershed for hydrological modeling in the watershed. In this watershed, extreme flow events have more consistency with higher intensity rainfall events with about 70% overlap in terms of time and quantitative ranking, but most of the extreme erosion events follow the maximum values of rainfall quantity.

D. Saparova, S. Saginova

The purpose – is to show the state of water resources, their use as a factor in the growth of AIC and development of water strategy of Kazakhstan. Statistical indicators that have direct impact and significantly affect the effectiveness of management of water sources in the republic are systematized. Methods – economic-mathematical, predictive calculations in order to solve the problems of water supply for national economic needs of the country with high-quality drinking water. Results – the degree of development of this topic in scientific works of domestic and foreign environmental scientists and economists was studied. Particular factors are determined on the basis of econometric model in the form of joint equations, their significance for the future is proved and justified. It is proposed to analyze the situation that has developed in the system of water objects of agricultural sector of the Republic of Kazakhstan in the context of implementation of "green" economy projects with the help of multifactorial probabilistic-statistical models that characterize the mechanism of functioning of socio-econometric system. Statistical series of initial data were compiled, presented by the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. Conclusions – it is noted that agriculture is the most water-intensive sector, characterized by the greatest losses of water during its transportation and use. The authors recommend that farmers implement innovative methods to improve irrigation efficiency with more sustainable water harvesting. It was revealed that primary reasons for the growing shortage of used water objects are worn-out infrastructure, the use of outdated technologies in construction of water supply networks. The results of calculations of management of structural economic-mathematical model for the analysis and forecasting of ec onomic processes of different levels for the period 2022-2025 are obtained.

Aruna Randeniya, Mohanasundar Radhakrishnan, T. A. J. G. Sirisena et al.

Etenesh B. Asfaw

Uzbekistan’s cotton supply chain experienced a wave of deregulation reforms in the last five years. This paper attempts to assess the process and results of the State-driven transition from the centrally planned cotton sector to private cotton-textile clusters. The article employs secondary data sources to analyse the effects of the deregulation policies descriptively. The study reveals that the deregulation reforms increased productivity in the sector. The reform initiatives also vertically integrated the cotton supply chain from production to marketing. However, the reforms failed to transparently incorporate and harmonise the needs of cotton farmers that grow and sell raw cotton. Consequently, the promises of the State-led deregulation reforms and initiatives are eroded. The article highlights the emerging risks and tensions in the current cotton liberalisation and privatisation reforms in Uzbekistan.

Ana M. Guerrero-Padilla, Carlos F. Cabrera-Carranza

La presente investigación tuvo como principal objetivo determinar la calidad del agua de uso agrícola en la cuenca media del río Jequetepeque, Perú. Se ubicaron seis estaciones de muestreo estación (Puente Kuntur Wasi, Sector La Mónica, Sector La Capilla, Cacerío Yatahual, Cacerío El Pongo y Puente Yonan) en la cuenca media del río Jequetepeque. Se determinaron parámetros físico-químicos, bacteriológicos e índice RAS. La calidad del agua en la zona de estudio se encontró dentro de los estándares de calidad de agua D.S. N°004-2017-MINAM, Categoría 3: Riego de vegetales y bebida de animales, y D1: Riego de vegetales, por lo que el agua puede ser usada sin restricciones para uso agrícola. Es importante indicar, en referencia a la evaluación bacteriológica, que los valores promedio de coliformes termotolerantes superaron los estándares de calidad de agua (1 000 NMP/100 ml) debido a las aportaciones o vertimientos de origen doméstico. En el índice de RAS se encontraron valores menores a tres; en consecuencia, no es limitante el uso del agua para la actividad agrícola. Es de gran importancia realizar estudios de calidad de agua de todas las cuencas hidrográficas en el país, en especial para determinar la calidad del agua para riego por el potencial efecto sobre la salud humana y los ecosistemas.