Fluorescent fingerprints-based anomaly detection in drinking water quality and identification of contributing features by explainable AI

ABSTRACK Background: Water represents an absolute medium to human life and other living things. However, water can also be the best media of diseases to spread. Therefore, before consumed, water has to be processed drinking to eliminate or degrade impure materials up to the safest level. As water becomes more problematic these days, it attracts the attention of drinking water refill depots to. Furthermore, dringking water that produce is not yet legalized and standardized in terms of its process. This research to know determine factors related to bacteriological quality of drinking water product drinking water refill in Semarang City. Methods :This research was an Explanatory Research. Using observation with a cross sectional approach. Samples are determined with standard error of 10% from 49 depots divided proportionally towards the spreading of depots throughout Semarang city. The variables used are a parameter of the bacteriologic number of coliform, E_Coli germs. Data analysis using Test correlation of kontingensi chi-square to know relation between variable. Results: The result of this research shows the relation to the variables using Chi-square test, it is shown that the condition of standard water and the condition of Bacteria of refill drinking water are C = 0,494, p = 0,0001, consequently Ho rejects it. Correlation test of instrument condition and the bacteriologic quality of refill drinking water showed that when C = 0,178, p = 0,447, Ho accepts it. While correlation test of processing of drinking water and the bacteriologic quality of refill drinking water showed that when C = 0,346, p = 0,035, Ho rejects it. Correlation test of hygienic officer of depot and the bacteriologic quality of refill drinking water shows that when C = 0,263, p = 0,162, so Ho accepts it. And correlation test of DAMIU sanitation and the bacteriologic quality of refill drinking water showed that C = 0,512, p = 0,0001, so Ho rejects it. Conclusions : All depots have not yet met the requirements of producing standard water as requested by Department of Health. The hygienic behavior of workers is still poor. The bacteriologic quality of refill drinking water based on the result of lab. test indicates that 34 samples ( 69,4%) have fulfilled the requirements of standard drinking water but the rest have not yet reached the minimum standard of drinking water. This matter is caused by the standard water which is used, the procedure of processing and the environmental condition of depot. Keyword; drinking water, refill depots, bacteriology quality

Analysis of self-organizing maps and explainable artificial intelligence to identify hydrochemical factors that drive drinking water quality in Haor region

Stunting is a nutritional problem that needs attention because of its risk to future generations. The causes of stunting are related to environmental factors such as sanitation and drinking water quality. Intervention efforts are carried out to improve sanitation and drinking water quality, which is regarded as a risk factor. This article reviewed literature relevant to the topic from Science Direct, Scopus, EBSCO (CINAHL, MEDLINE), and Proquest databases from 2020-2024 publications with the keywords Water Quality and Stunting, then analyzed using a synthesis matrix. The inclusion criteria for this study were articles in English with a correlational design and full text. The results of the journal review found six articles that stated that sanitation factors, especially the quality of drinking water, were the cause of the stunting problem. The quality of drinking water is related to bacterial contamination due to disasters (floods), risk factors for unhealthy behavior, and open toilets. Poor water quality causes infection, which indirectly affects other factors that affect linear growth (weight and height), which are indicators of stunting. Interventions reduce the prevalence of stunting by improving sanitation, especially the quality of proper drinking water, and improving clean living behavior in the community.

the bacteriological quality of drinking water plays a critical role in preventing waterborne diseases. In Ghana, there is water scarcity and many communities depend on contaminated water sources for their domestic use. This study aimed to assess the bacteriological quality of household drinking water in both cholera endemic and non-endemic areas in Greater Accra Region. a community-based cross-sectional comparative survey in cholera endemic and non-endemic communities was conducted. A total of 480 drinking water samples were collected. The membrane filtration technique was used for the quantification of coliform counts and Vibrio counts. The bacteria were further identified and characterized. The Kruskal Wallis rank test was used to determine any significant variations in the means of the log-transformed bacteria counts among specific factor variables. drinking water samples were contaminated with coliform counts exceeding the zero colony-forming units per 100 ml standard in most communities across cholera endemic and non-endemic areas. Vibrio counts were detected in all household water stored in vessels. Further characterization identified predominantly Klebsiella pneumonia and Escherichia coli. The coliform contamination levels were significantly higher in water stored in vessels compared to water directly obtained from the source. The contamination levels were generally higher during the wet season than the dry season. the household's stored drinking water and direct water sources were highly contaminated with coliform bacteria, posing a significant risk for the transmission of pathogenic waterborne diseases. Therefore, the need to implement an effective water treatment strategy to improve the quality of drinking water.

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>Unhealthy housing conditions will hurt human health, one of which is ARI. Based on data from the Stabat Health Center, ARI is among the top 10 diseases. Based on 2019 data, there were 1572 cases; the increase in cases occurred from 2020 to 1692, with 206 cases in Sidomulyo Village. Moreover, the physical condition of the houses in Sidomulyo still needs to meet the requirements of a healthy home. Based on the Basic Health Research (Riskesdas) report, the prevalence of stunting in Indonesia increased from 2016 to 2018, namely 27.5% in 2016, 29.6% in 2017, and 30.8% in 2018 (Riskesdas, 2018). Factors causing stunting are divided into direct causal factors and indirect causal factors. This study aimed to determine the relationship between household drinking water quality and the incidence of stunting in children aged 6-59. Observational research with a case-control design on children aged 6-59 months in the Talun Kenas Health Center Area, Deli Serdang Regency. The sampling technique was carried out by consecutive sampling with a total sample of 42 subjects in each group. Stunting was categorized based on TB/U score < -2 SD according to KEPMENKES RI anthropometric standard table. Drinking water quality was tested using a sanitarian kit—bivariate analysis using the Chi-Square test by looking at the Odds Ratio (OR). The results of the bivariate analysis show that the quality of household drinking water is associated with stunting in children aged 6-59 months (p=0.004; OR=4.144), meaning that the quality of drinking water that does not meet the requirements increases the incidence of stunting in children aged 6-59 months. This study concludes a significant relationship between the quality of household drinking water and the incidence of stunting in children aged 6-59 months.</em></p></td></tr></tbody></table></div>

Exploring hydrochemical drivers of drinking water quality in a tropical river basin using self-organizing maps and explainable AI.

Diarrhoeal diseases kill an estimated 2.5 million people each year, the majority being children under 5 years (Kosek et al. 2003). An estimated 4 billion cases annually account for 5.7% of the global burden of disease and place diarrhoeal disease as the third highest cause of morbidity and sixth highest cause of mortality (Pruess et al. 2002). Among children under 5 years in developing countries, diarrhoeal disease accounts for 21% of all deaths (Parashar et al. 2003). By inhibiting normal consumption of foods and adsorption of nutrients, diarrhoeal diseases are also an important cause of malnutrition, leading to impaired physical growth and cognitive development (Guerrant et al. 1999), reduced resistance to infection (Baqui et al. 1993) and potentially long-term gastrointestinal disorders (Schneider et al. 1978). Infectious agents associated with diarrhoeal disease are transmitted chiefly through the faecal-oral route (Byers et al. 2001). A wide variety of bacterial, viral and protozoan pathogens excreted in the faeces of humans and animals are known to cause diarrhoea. Many of these are potentially waterborne – transmitted through the ingestion of contaminated water (Leclerc et al. 2002). Accordingly, a number of interventions have been developed to treat water. These include (i) physical removal of pathogens (e.g. filtration, adsorption and sedimentation); (ii) chemical treatment (e.g. assisted sedimentation, chemical disinfection and ion exchange); or (iii) heat and ultra violet (UV) radiation. Because of the risk of recontamination (Clasen & Bastable 2003), interventions to improve water quality also include steps to maintain the microbiological quality of safe drinking water, such as piped distribution, residual disinfection and improved storage. These efforts are expected to receive additional priority as a result of the United Nation’s commitment to reduce by one-half of the 1.5 billion people without sustainable access to improved water, one of the United Nation’s Millennium Development Goals (United Nations 2000), and by the World Health Organization’s steps to accelerate the health gains of safe water to the remaining population by improved treatment and storage of water at the household level (Sobsey 2002). Health authorities generally accept that safe water plays an important role in preventing outbreaks of diarrhoeal disease (Hunter 1997). Accordingly, the most widely accepted standard for water quality allows no detectable level of harmful pathogens at the point of distribution (WHO 1993). However, in those settings in which diarrhoeal disease is endemic, much of the epidemiological evidence for increased health benefits following improvements in the quality of drinking water has been equivocal (Esrey & Habicht 1986; Lindskog et al. 1987; Cairncross 1989). As many of these same waterborne pathogens are also transmitted via ingestion of contaminated food and other beverages, by person-to-person contact, and by direct or indirect contact with infected faeces, improvements in water quality alone may not necessarily interrupt transmission (Briscoe 1984). As a result of this variety of risk factors, interventions for the prevention of diarrhoeal disease not only include enhanced water quality but also steps to (i) improve the proper disposal of human faeces (sanitation), (ii) increase the quantity and improve access to water (water supply), and (iii) promote hand washing and other hygiene practices within domestic and community settings (hygiene). As in the case of studies of water quality, there is a wide range in the reported measure of effect on diarrhoea morbidity of each of these other environmental interventions (Esrey et al. 1985). Even more fundamentally, there are also questions about the methods and validity of studies designed to assess the health impact of such interventions (Briscoe et al. 1986; Imo State Evaluation Team 1989). As part of a larger evaluation of interventions for the control of diarrhoeal disease (Feachem et al. 1983), Esrey et al. (1985) reviewed 67 studies to determine the health impact from improvements in water supplies and excreta disposal facilities (Esrey et al. 1985). The median reduction in diarrhoeal morbidity from improved water quality was 16% (range 0–90%). This compared with 22% for Tropical Medicine and International Health

This paper simultaneously explores temporal changes in drinking water quality and practices in peri-urban Peru. A mixed methodology approach was used, which included a household survey (n= 96) and analysis of water samples taken at source (n= 33 2006, n= 64 2007) and from households (n= 51 2006, n= 91 2007), during both the dry (2006) and rainy season (2007). Variations in practices were found, the most important being the type of water being used, but these changes were found to be contextual and linked to the termination of municipal piped water to the community, rather than seasonal. Seasonal changes in quality of ground water sources were found, but the change in the quality of the major water sources used for drinking and cooking were again not seasonal. A relationship between drinking water practices and quality was identified, due to household contamination of water, which was linked to perceived quality of source. Although the results from this study do not establish any link between seasonal drinking water quality and practices, evidence supporting the general hypothesis of this work was uncovered.

To ensure safe and quality drinking water for residents of rural settlements who use their own wells, boreholes, and natural sources for domestic water supply, a comprehensive approach to evaluating the quality of underground drinking water using geographic information system (GIS) technologies is necessary. The purpose of the study was to assess the quality of drinking water sources of noncentralized water supply in rural settlements of the united territorial communities (UTCs) of Zhytomyr district and to create geoinformation models based on the research results. The following research methods were used during the research: analytical, field, laboratory, statistical, calculation, and cartographic. The research was conducted in 129 settlements of 12 UTCs of Zhytomyr district, where drinking water samples were collected from noncentralized water supply sources for further analysis in the Measurement Laboratory of Polissia National University, and the creation of geoinformation models using the ArcGIS Pro software package. It has been proven that the average pH level in none of the studied settlements exceeded the norm. The average nitrate concentration in the drinking water from noncentralized water sources exceeded the norm by 1.4–3.5 times, specifically in the water of the Pulyny, Cherniakhiv, Vilshanka, Volytsia, and Oliivka communities, exceeding the maximum acceptable concentration (MAC) limit by more than two times. Only in rural settlements in the Liubar community was the average iron content found to be above the norm by more than 1.9 times. Overall, it was established that the calculated value of the overall water quality class in the Zhytomyr district was 2.03, which is determined as “good,” clean water of acceptable quality. The best water quality was found in the Vilshanka, Cherniakhiv, and Stanyshivka communities, with a quality class range of 1.85–1.93, while the worst water quality was recorded in the Oliivka, Teterivka, and Liubar communities, with a quality class range of 2.13–2.31. It was determined that the highest contribution to the overall water quality was made by nitrate and iron content. The obtained research results and models based on them can be used by local governments of the studied communities to inform the population about the quality of drinking water and to develop a plan for improving the state of drinking water supply with the aim of increasing the level of environmental safety of drinking water.

The ever-growing population of India, along with the increasing competition for water for productive uses in different sectors – especially irrigated agriculture and related local water systems and drainage – poses a challenge in an effort to improve water quality and sanitation. In rural and peri-urban settings, where agriculture is one of the main sources of livelihood, the type of water use in irrigated agriculture has complex interactions with drinking water and sanitation. In particular, the multi-purpose character of irrigation and drainage infrastructure creates several interlinks between water, sanitation (WATSAN) and agriculture and there is a competition for water quantity between domestic water use and irrigated agriculture. This study looks at the determinants of the microbiological quality of stored drinking water among households residing in areas where communities use different types of irrigation water. The study used multiple tube fermentation method 'Most Probable Number' (MPN) technique, a WHO recommended technique, to identify thermotolerant fecal coliforms and E. coli in water in the laboratory (WHO 1993). Overall, we found that the microbiological water quality was poor. The stored water generally had very high levels of Escherichia coli (E. coli) contamination, 80% of the households had water in storage that could not be considered potable as per the World Health Organization (WHO) standards, and 73% of the households were using a contaminated water source. The quality of household storage water was largely unaffected by the major household socioeconomic characteristics, such as wealth, education level or social status. Households using surface water for irrigation had poor drinking water quality, even after controlling for hygiene, behavioral and community variables. Drinking water quality was positively impacted by proper storage and water treatment practices, such as reverse osmosis. Hygiene and sanitation indicators had mixed impacts on the quality of drinking water, and the impacts were largely driven by hygiene behavior rather than infrastructures. Community open defaecation and high village-household density deteriorates household storage water quality.

The ever-growing population of India, along with the increasing competition for water for productive uses in different sectors – especially irrigated agriculture and related local water systems and drainage – poses a challenge in an effort to improve water quality and sanitation. In rural and peri-urban settings, where agriculture is one of the main sources of livelihood, the type of water use in irrigated agriculture has complex interactions with drinking water and sanitation. In particular, the multi-purpose character of irrigation and drainage infrastructure creates several interlinks between water, sanitation (WATSAN) and agriculture and there is a competition for water quantity between domestic water use and irrigated agriculture. This study looks at the determinants of the microbiological quality of stored drinking water among households residing in areas where communities use different types of irrigation water. The study used multiple tube fermentation method ‘Most Probable Number (MPN) technique, a WHO recommended technique, to identify thermotolerant fecal coliforms and E. coli in water in the laboratory (WHO 1993). Overall, we found that the microbiological water quality was poor. The stored water generally had very high levels of Escherichia coli (E. coli) contamination, 80% of the households had water in storage that could not be considered potable as per the World Health Organization (WHO) standards, and 73% of the households were using a contaminated water source. The quality of household storage water was largely unaffected by the major household socioeconomic characteristics, such as wealth, education level or social status. Households using surface water for irrigation had poor drinking water quality, even after controlling for hygiene, behavioral and community variables. Drinking water quality was positively impacted by proper storage and water treatment practices, such as reverse osmosis. Hygiene and sanitation indicators had mixed impacts on the quality of drinking water, and the impacts were largely driven by hygiene behavior rather than infrastructures. Community open defaecation and high village-household density deteriorates household storage water quality.

Impact of human operational factors on drinking water quality in small systems: an exploratory analysis

This study aims to analyze the relationship between sanitary hygiene and storage time with the quality of refill drinking water in East Lombok Regency. This study used a cross-sectional design. The population in this study is 101 drinking water stations recorded in 2022. A sample of 50 refill stations is taken using simple random sampling. The independent variables are sanitary hygiene and storage time with water quality as the dependent variable. Data were analyzed univariately and bivariately with computer aids. Most of the drinking water stations met sanitary hygiene requirements which are indicated in the station place, equipment used, handlers and sources of raw water by 28 (56%) with a storage time of more than three days (90%). Most of the drinking water refill stations which have of a quality indicated by PH more than 500 were 34 (68%). There is a significant relationship between the sanitation hygiene of stations and the quality of drinking water stations in East Lombok Regency in 2022. There is a significant relationship between hygiene sanitation stations and the quality of drinking water stations in East Lombok Regency in 2022. It is suggested to the Head of Health Office in East Lombok Regency through the sanitarian sub-sector to carry out periodic sanitation inspections to maintain sanitation hygiene of drinking water stations so that the quality of drinking water is maintained.

The quality of drinking water is a key priority from a human health perspective. The present study was conducted to assess the physico-chemical quality of bottled drinking water marketed in Zomba City, Malawi. Seven bottled water brands were analyzed for pH, EC, TDS, K, Na, Ca, Mg, NO3-, F-, Cl- and total water hardness using standard methods. The results of the analysis were compared with Malawi Standard (MS) 560 for natural mineral water, MS 699 for bottled water other than natural mineral water, and the World Health Organization (WHO) guidelines for drinking water. The results showed that EC, TDS, Cl-, NO3-, F-, K, Na, Ca, and Mg in all the bottled water brands complied with MS 560, MS 699, and WHO guidelines for drinking water. Further, four bottled water brands had their mean pH below the minimum MS 560 and MS 699 value of 6.5. Comparison of the analyzed water quality parameters with the reported label values showed considerable variation in both exaggeration and undervaluing. This study has also shown that all brands had low fluoride content as compared to recommended levels by MS 560 and MS 699. The paper suggests the need for strict monitoring to check bottled water quality compliance.

Refillable drinking water is one of the most frequently consumed beverages. The quality of drinking water is one of the main requirements for health. Based on data from the Ministry of Health of the Republic of Indonesia 2020, as many as 6,221 samples were examined, only 4,401 drinking water facilities met the requirements for proper water in 2019. The impact of the quality of refilled drinking water that does not meet biological requirements is diarrhea caused by Coliform bacteria. A coliform is a group of bacteria that are contained in large quantities in human and animal feces, so these bacteria are often used as indicators of food and water quality. Contamination of refill drinking water can be caused by raw water sources, production equipment depot sanitation, canteen sanitation, and depot staff personal hygiene. This study aims to determine the bacteriological quality of refill drinking water in the working area of Puskesmas Maccini Sombala Makassar City. This research is a type of quantitative research with descriptive methods. Data collection in research was carried out through observation and interviews. Determination of the research sample using purposive sampling, namely Refill Drinking Water Depot with the most amount of water behavior per day and MPN Coliform examination which was carried out at the Makassar City Health Laboratory Center. Depot with sample code A1 found Coliform bacteria with MPN 4.5 / 10ml in raw water and processed water with MPN 2.0 / 100ml. Whereas samples with A2 and A3 codes were not found Coliform bacteria or MPN 0 / 100ml, both raw water and processed water.