{"title":"Assessment of groundwater quality and human health risk from nitrate contamination using a multivariate statistical analysis","authors":"Hemant Raheja, Arun Goel, Mahesh Pal","doi":"10.2166/wh.2024.291","DOIUrl":"https://doi.org/10.2166/wh.2024.291","url":null,"abstract":"\u0000 \u0000 The present study explores the suitability of groundwater for drinking purpose and evaluates non-carcinogenic health risks for children, women, and men. For this purpose, 47 groundwater samples were collected and analyzed for physicochemical parameters, including nitrate concentration. The results revealed that nitrate concentration varied from 15 to 85 mg/L and that 48.93% of the groundwater samples exceeded the Bureau of Indian Standards’ limits of 45 mg/L. The spatial map of the pollution index of groundwater specifies that most of the study area lies in moderate to high pollution zones. Principal component analysis was also applied, and five principal components achieving eigenvalues more than 1 with a cumulative variance of 77.36% were found to be sufficient. The findings of non-carcinogenic risk rates range from 0.628 to 3.559 (average of 2.069) for children, 0.427 to 2.421 (average of 1.408) for women, and 0.362 to 2.049 (average of 1.191) for men, and approximately 80% of the population in the study region is exposed to high health risks. The health risk assessment specified that children in the study area are more susceptible than women and men. The findings of this study suggest that groundwater quality in the region has deteriorated, emphasizing the need for treatment before drinking.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"90 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emeru Assefa, Anuradha Jabasingh, Eyobel Mulugeta, Meseret Dessalegne, E. Teju
{"title":"Impact of source water quality on total organic carbon and trihalomethane removal efficiency in a water treatment plant: a case study of Upper Awash, Ethiopia","authors":"Emeru Assefa, Anuradha Jabasingh, Eyobel Mulugeta, Meseret Dessalegne, E. Teju","doi":"10.2166/wh.2024.276","DOIUrl":"https://doi.org/10.2166/wh.2024.276","url":null,"abstract":"\u0000 \u0000 This study addresses the limited understanding of factors affecting the efficiency of water treatment plants in reducing trihalomethane (THM) formation through total organic carbon (TOC) removal, highlighting significant challenges in improving treatment effectiveness. The aim of this study was to examine the influence of water quality on the efficiency of water treatment plants to remove TOC and reduce THM formation. Linear regression and correlation analyses were conducted to examine the relationship between water quality parameters and THM concentrations. The results showed that there was a negative relationship between turbidity, metals, and TOC concentration with TOC removal efficiency. Positive correlations were found between parameters and the formation of THMs in water. Of these parameters, water temperature was observed to have relatively less influence on THM formation. It was observed that seasonal variations in water quality affect the efficiency of TOC removal and THM content in treated water. THM levels in chlorinated water were found to be within the permissible range of the World Health Organization's drinking water quality guidelines. However, it is still important to maintain continuous monitoring and take measures to reduce THMs. The model demonstrated a strong correlation (R2 = 0.906) between predicted and measured THM values.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"105 9","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hauwa Ahmad Amshi, Rajesh Prasad, Birendra Kumar Sharma, S. Yusuf, Zaharaddeen Sani
{"title":"How can machine learning predict cholera: insights from experiments and design science for action research","authors":"Hauwa Ahmad Amshi, Rajesh Prasad, Birendra Kumar Sharma, S. Yusuf, Zaharaddeen Sani","doi":"10.2166/wh.2023.026","DOIUrl":"https://doi.org/10.2166/wh.2023.026","url":null,"abstract":"\u0000 \u0000 Cholera is a leading cause of mortality in Nigeria. The two most significant predictors of cholera are a lack of access to clean water and poor sanitary conditions. Other factors such as natural disasters, illiteracy, and internal conflicts that drive people to seek sanctuary in refugee camps may contribute to the spread of cholera in Nigeria. The aim of this research is to develop a cholera outbreak risk prediction (CORP) model using machine learning tools and data science. In this study, we developed a CORP model using design science perspectives and machine learning to detect cholera outbreaks in Nigeria. Nonnegative matrix factorization (NMF) was used for dimensionality reduction, and synthetic minority oversampling technique (SMOTE) was used for data balancing. Outliers were detected using density-based spatial clustering of applications with noise (DBSCAN) were removed improving the overall performance of the model, and the extreme-gradient boost algorithm was used for prediction. The findings revealed that the CORP model outcomes resulted in the best accuracy of 99.62%, Matthews's correlation coefficient of 0.976, and area under the curve of 99.2%, which were improved compared with the previous findings. The developed model can be helpful to healthcare providers in predicting possible cholera outbreaks.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"128 40","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138953482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Biasibetti, Elisa Longhi, Sonia Bozza, C. Zanotti, M. Rotiroti, L. Fumagalli, M. Caschetto, Agnese Redaelli, T. Bonomi
{"title":"Climate-related risk assessment in water safety plans: the case study of Acque Bresciane (Italy)","authors":"M. Biasibetti, Elisa Longhi, Sonia Bozza, C. Zanotti, M. Rotiroti, L. Fumagalli, M. Caschetto, Agnese Redaelli, T. Bonomi","doi":"10.2166/wh.2023.103","DOIUrl":"https://doi.org/10.2166/wh.2023.103","url":null,"abstract":"\u0000 \u0000 Acque Bresciane is a public company that manages the integrated water cycle for more than 580,000 inhabitants in the Province of Brescia, in the north of Italy, providing drinking water, waste water treatment, and sewer systems. Drinking water systems are supplied with different types of groundwater, springs, and surface water sources (from lakes and rivers) whose availability and quality can be affected by climate change events. A multidisciplinary team, in collaboration with the University of Milano Bicocca, developed a specific Water Safety Plan (WSP) risk matrix focusing on the evaluation of climate-related hazardous events and calculation of their likelihood of occurrence, also using thematic maps. Moreover, to reduce the residual risks, in the risk matrix, possible control measures are suggested, such as the activation of an emergency plan, the use of other water sources, storage tanks, and interconnection with other water distribution networks. This work shows a simple and effective tool that can be applied by drinking water utilities to evaluate climate-related catchment risks, using a WSP risk matrix, thematic maps, and possible control measures to reduce risks in terms of water quality and availability and to respond with resilience to changes.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"79 17","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138957756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Yu, Geeta Mandava, Elin Lavonen, A. Oskarsson, J. Lundqvist
{"title":"Impact of sample acidification and extract storage on hormone receptor-mediated and oxidative stress activities in wastewater","authors":"Maria Yu, Geeta Mandava, Elin Lavonen, A. Oskarsson, J. Lundqvist","doi":"10.2166/wh.2023.266","DOIUrl":"https://doi.org/10.2166/wh.2023.266","url":null,"abstract":"\u0000 \u0000 An underemphasized aspect of sampling strategies in effect-based in vitro testing is to determine suitable collection and preparation techniques. In the current study, the impact of sample acidification on bioactivities was assessed using in vitro bioassays for hormone receptor-mediated effects (estrogen receptor [ER] and androgen receptor [AR]) and the oxidative stress response (Nrf2 activity). Sampling was conducted at a recently upgraded Swedish wastewater treatment plant. Future plans for the treated wastewater include reuse for irrigation or as a drinking water source. In the AR and Nrf2 assays, acidification decreased bioactivities in the wastewater influent sample extracts, whereas acidification increased bioactivities following further treatment (disc filtration). In the ER assay, acidification had no impact on the observed bioactivities in the sample extracts. A secondary objective of the study was to assess the stability of the sample extracts over time. Lower activities were detected in the ER and AR assays in all extracts after storage for approximately 1 year. Nrf2 activities did not decrease over time, but rather increased in some of the acidified sample extracts. Overall, the findings suggest that sampling strategies involving acidification may need to be tailored depending on the selected bioassay(s) and the type of wastewater treatments being assessed.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"57 25","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138995492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Panhwar, H. A. Keerio, Nadar Hussain Khokhar, M. Muqeet, Zouhaib Ali, Muhammad Bilal, Ajeeb Ul Rehman
{"title":"Magnetic nanomaterials as an effective absorbent material for removal of fluoride concentration in water: a review","authors":"S. Panhwar, H. A. Keerio, Nadar Hussain Khokhar, M. Muqeet, Zouhaib Ali, Muhammad Bilal, Ajeeb Ul Rehman","doi":"10.2166/wh.2023.116","DOIUrl":"https://doi.org/10.2166/wh.2023.116","url":null,"abstract":"\u0000 \u0000 The rapid increases in industrialization and populations are significant sources of water contamination. The speed with which contamination of groundwater and surface water occurs is becoming a serious problem and posing a significant obstacle for water stakeholders. Heavy metals, organic, and inorganic contaminants in the form of suspended and dissolved materials are just a few of the contaminants that can be found in drinking water. One of the most common contaminants in the water is fluoride, which is responsible for numerous toxic diseases. Different traditional techniques, for example, coagulation, ion exchange, absorption, and membrane filtrations are being used to dispose of fluoride from water. However, nanomaterials such as magnetic nanoparticles (NPs) are very efficient, reliable, cost-effective, and stable materials to replace traditional water treatment techniques. There has been an increase in interest in the application of nanomaterials to the purification of drinking water over the past few decades. The use of magnetic NPs, such as metal and metal oxide NPs, to remove fluoride ions and organic matter from water is highlighted in this review article. Also, this section also discusses the properties, benefits and drawbacks, and difficulties of utilizing magnetic NPs in the process of purifying drinking water.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"94 12","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138998805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exposure assessment of nitrate and phenol derivatives in Tehran's water distribution system","authors":"Mahdi Hadi, Parnia Bashardoust, Mehri Solaimany Aminabad, Shahrokh Nazmara, Mohammad Rezvani Ghalhari, Alireza Mesdaghinia, Saeedeh Hemmati Borji","doi":"10.2166/wh.2023.133","DOIUrl":"https://doi.org/10.2166/wh.2023.133","url":null,"abstract":"\u0000 \u0000 The presence of organic and inorganic contaminants in drinking water is a global concern. Nitrate and phenol derivatives are examples of pollutants that could be of anthropogenic origin. They are associated with numerous health risks, underscoring the importance of monitoring their occurrence in drinking water. This study aimed to measure nitrate and phenol derivatives, including 2,4-dichlorophenol (2,4-DCP), pentachlorophenol (PCP), 2,4,5-trichlorophenol (2,4,5-TCP), 2-chlorophenol (2-CP), 4-chlorophenol (4-CP), and phenol, in Tehran's water distribution system (WDS). Twenty-two districts of the city were compared based on the Hazard Quotient (HQ) and the Excess Lifetime Cancer Risk (ELCR) estimated for the detected pollutants. A positive correlation was observed between the pollutants' concentration in Tehran's WDS and precipitation. The mean of nitrate and PCP in Tehran's WDS were 35.58 ± 8.71 mg L−1 and 76.14 ± 16.93 ng L−1 lower than the guideline values of 50 mg L−1 and 1,000 ng L−1, respectively. Nevertheless, some districts exhibited nitrate concentration exceeding the permissible limit by a factor of 1.2–2.3. Consequently, the nitrate intake in some districts constituted approximately 50% of the reference dose. While PCP as a phenol derivative with more health concerns was identified in Tehran's WDS, the likelihood of its health effects was determined to be negligible.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"10 11","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manbir Singh, Vaishali Wadhwa, Lavisha Batra, Pradeep Khyalia, Vikram Mor
{"title":"A chemometric and ingestion hazard prediction study of groundwater in proximity of the Bandhwari landfill site, Gurugram, India","authors":"Manbir Singh, Vaishali Wadhwa, Lavisha Batra, Pradeep Khyalia, Vikram Mor","doi":"10.2166/wh.2023.072","DOIUrl":"https://doi.org/10.2166/wh.2023.072","url":null,"abstract":"\u0000 \u0000 Groundwater contamination due to the leaching of harmful pollutants such as heavy metals, xenobiotic compounds, and other inorganic compounds from solid waste dumping sites has become a major health concern in recent times. Therefore, to assess the effects of the Bandhwari landfill site, groundwater samples from the surrounding region of the dumping site were collected and analyzed for heavy metals and physicochemical properties. The total dissolved solids (TDS) of 67% of samples exceeded the Bureau of Indian Standards (BIS) permissible limits which makes it unfit for drinking purposes. The groundwater samples were also analyzed for iron (Fe), lead (Pb), zinc (Zn), nickel (Ni), copper (Cu), cadmium (Cd), and chromium (Cr) concentrations and results of heavy metal concentration in the groundwater around the Bandhwari landfill follow the concentration trend of Pb > Cd > Ni > Cu > Zn > Fe > Cr. Risk assessment of consumers' health was done using target hazard quotient calculations which were less than unity (threshold value of <1), indicating that heavy metal concentrations do not pose any serious health effect according to total hazard quotient values. The results of the study made it evident that groundwater is not suitable for drinking purposes due to excess values of water quality parameters but poses no risk due to studied metal concentrations.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"31 12","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138971888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qifa Sun, Lin Guo, Chen Hu, Tao Liu, Jingyao Sun, Long Zhou
{"title":"Health risk assessment of drinking groundwater in rural areas of Ru village and surrounding areas in Wutai County, China","authors":"Qifa Sun, Lin Guo, Chen Hu, Tao Liu, Jingyao Sun, Long Zhou","doi":"10.2166/wh.2023.277","DOIUrl":"https://doi.org/10.2166/wh.2023.277","url":null,"abstract":"\u0000 Nitrate pollution in groundwater is a global environmental problem that poses health risks to human health. In order to investigate the health risks of nitrate in rural drinking groundwater in Rucun Township and surrounding areas of Wutai County and provide a basis for healthy drinking water, by using statistical analysis software (SPSS19) and hydrogeochemical analysis software (AqQA), a qualitative and quantitative evaluation of nitrate health risks was conducted among populations of different ages and genders through water sample collection, chemical analysis, and construction of a human health risk model (HHRA). Through research, it was found that the average concentration of nitrate in the study area is 43.99 mg/L. The Quaternary loess layer, as a permeable layer, cannot prevent groundwater from being polluted by NO3−. The cation in the groundwater of the research area is mainly calcium-type water, while the anion is bicarbonate type. Through evaluation, it is believed that there is a health risk of nitrate pollution in rural drinking groundwater in Rucun Township and surrounding areas. The discovery and evaluation results can provide a basis for the prevention and control of nitrate pollution in groundwater and improve people's quality of life.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"79 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139001839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Dizman, Feyza Zeynep Aşık, Ali Erdem Özçelik, R. Keser, F. K. Görür
{"title":"Tritium contents in drinking and surface seawaters before the nuclear power plant planned in Sinop (Türkiye) and their radiological risks on human population","authors":"S. Dizman, Feyza Zeynep Aşık, Ali Erdem Özçelik, R. Keser, F. K. Görür","doi":"10.2166/wh.2023.205","DOIUrl":"https://doi.org/10.2166/wh.2023.205","url":null,"abstract":"This study aims to determine the background levels of tritium radioisotope in drinking and seawater samples of Sinop province before the nuclear power plant was established in Sinop. In this context, a total of 174 water samples were collected, these are as follows: 9 drinking water samples from the Sinop center and districts and 165 seawater samples from the seacoast from Samsun to Kastamonu. Tritium concentrations in the collected water samples were measured by the liquid scintillation counter. The minimum detectable activity for the method used was found to be 1.48 Bq/L. The tritium concentrations of the seawater and drinking water samples were found in the range of <MDA (minimum detectable activity)-6.29 Bq/L and 2.45–3.17 Bq/L, respectively. In addition, the annual effective dose rates of the people consuming these drinking waters due to the tritium radioisotope were calculated separately for infants, children and adults and found to be 12.12, 16.96 and 35.38 nSv, respectively.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"37 49","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138588900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}