Dhea Sadi Ahmed, Fatima Amer Abd Algabar, M. Al‐Obaidi, Ghanam Hissan Mageed
{"title":"Evaluation of bio-physical parameters and microbial pollution in water systems","authors":"Dhea Sadi Ahmed, Fatima Amer Abd Algabar, M. Al‐Obaidi, Ghanam Hissan Mageed","doi":"10.2166/wpt.2024.129","DOIUrl":"https://doi.org/10.2166/wpt.2024.129","url":null,"abstract":"\u0000 \u0000 This study covers the purification and sterilization stations in different regions of the Iraqi city of Baghdad. To systematically conduct this study, several drinking water samples were collected from various sites in Al-Karkh and Al-Rusafa in Baghdad. These samples were tested bacteriologically, such as Bacterial Total Count, Total Coliform Bacteria, fecal bacteria, and Escherichia coli (E. coli). Furthermore, the physical properties of the total hardness (TH), turbidity, residual chlorine, and pH from June 2021 to July 2022 were measured monthly. The seasonal variation of the research parameters is considered by providing a statistical description. The biological tests indicate that the water is seriously contaminated with fecal coliform in one area of the Al-Karkh region during the months of autumn and summer. Also, the biological tests of the Al-Rusafa region elucidate the dangerous concentrations of plate count bacteria in summer and autumn. Furthermore, the Al-Rusafa region reports cases of E. coli and coliform in the summer, which exceed the Iraqi and WHO guidelines. But, the physical tests ascertain the semi-alkalinity of drinking water with the greatest residual chlorine value of 0.9 ppm in the summer.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"1 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140962277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating rainfall-runoff parameters for ungauged catchments: a case study in Turkiye","authors":"M. C. Tuna, Ayça Aytaç","doi":"10.2166/wpt.2024.130","DOIUrl":"https://doi.org/10.2166/wpt.2024.130","url":null,"abstract":"\u0000 Determining water yield and flood discharges in catchments is a vital aspect of hydrology. This entails considering precipitation and runoff as key hydrological parameters. Constructing infrastructure like hydroelectric plants and regulators over streams necessitates continuous, accurate flow, and meteorological observations spanning at least 25 years. However, in developing nations, economic factors often impede such observations. This study proposes a method to estimate peak rainfall and flow values for ungauged basins with varying return periods by utilizing from gauged basins and spatial variables. Flood calculations were carried out for the ungauged Rabat River basin. In this study, regional flood frequency analysis was carried out using the flow values of the flow gauging stations neighboring the basin. In addition, maximum flow values were calculated using Moscus and the DSI synthetic method. Two- and three-parameter distributions were used to estimate 50-, 100-, 200- and 500-year flood return values at stations with observation periods ranging from 15 to 64 years. Kolmogorov–Smirnov and Probability Line Correlation coefficient (Chi-square) tests were applied to check the suitability of these distributions and the most appropriate distributions were found. This yielded an estimation for the flow values of the Rabat River, indicating the method's reliability for forecasting runoff-rainfall in the ungauged basin.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"40 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140970669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Th. Mazahrih, Abeer Albalawneh, Nabeel Bani Hani, Roula Khadra, Ahmed Abo Dalo, Yousef Al-Omari, Badir Al-Omari, Mohammad Abu Hammad, Isabel Martin, Khalid Fahd, Alberto Carletti, Alessandra Paulotto, Nizar Haddad
{"title":"Impact of reclaimed wastewater on alfalfa production under different irrigation methods","authors":"N. Th. Mazahrih, Abeer Albalawneh, Nabeel Bani Hani, Roula Khadra, Ahmed Abo Dalo, Yousef Al-Omari, Badir Al-Omari, Mohammad Abu Hammad, Isabel Martin, Khalid Fahd, Alberto Carletti, Alessandra Paulotto, Nizar Haddad","doi":"10.2166/wpt.2024.126","DOIUrl":"https://doi.org/10.2166/wpt.2024.126","url":null,"abstract":"\u0000 The effect of different irrigation methods (sprinkler, surface, surface-drip, and subsurface-drip) using treated wastewater, on alfalfa yield quantity and quality, was studied under semi-arid conditions. Randomized complete block design considering irrigation methods on 5 × 5 m plots replicated four times. Applied irrigation water was based on the Penman–Monteith equation using the FAO Cropwat software and accounting for the efficiencies of used irrigation systems. Surface irrigation gave the highest alfalfa fresh yield without significant difference compared to subsurface-drip. Average fresh production was 123, 120, 109, and 91 tons/h for surface, subsurface-drip, surface-drip, and sprinkler irrigation, respectively. Alfalfa fresh weight from subsurface-drip irrigation was 32 and 10% higher compared to sprinkler and surface-drip irrigation. Alfalfa dry weight from subsurface-drip irrigation was 10, 21, and 47% higher compared to surface-drip, surface, and sprinkler irrigation, respectively. N percentage in alfalfa leaves was significantly lower by 12% under subsurface-drip irrigation as compared to the other irrigation methods. Escherichia coli (E. coli) and fecal coliform (FC) were not detected on alfalfa leaves using subsurface-drip irrigation. E. coli and FC counts were high on leaves using sprinkler and surface irrigation. Subsurface-drip irrigation may be adapted as an efficient irrigation method when using non-conventional water under semi-arid conditions.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"68 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140971774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Geo-electrostratigraphic assessment of aquifer potential, protectivity, and pliable level of vulnerability within a coastal milieu","authors":"N. Udosen, A. Ekanem, N.J. George, Jewel Thomas","doi":"10.2166/wpt.2024.125","DOIUrl":"https://doi.org/10.2166/wpt.2024.125","url":null,"abstract":"\u0000 \u0000 Geo-electro stratigraphic assessments of aquifer potentiality, protectivity, and pliable level of vulnerability within a coastal milieu were undertaken with geo-electrical technology. The vertical electrical soundings were undertaken at 20 locations and the 2D electrical resistivity tomography surveys were undertaken at five locations within the study area. Results obtained from these geo-electrical surveys coupled with hydro-geophysical investigations within the area indicated the presence of four geo-electric layers: motley topsoil, sandy clay, fine sand, and coarse sand. The geo-stratigraphic data assessed groundwater potentiality, protectivity, and vulnerability to contamination with measures of transverse resistance, hydraulic conductivity, transmissivity, hydraulic diffusivity, aquifer storativity, and longitudinal conductance. Geo-hydraulic characterization indicated mean aquifer resistivity of 554.6 Ωm, mean aquifer conductivity of 0.0004 S/m, mean longitudinal conductance of 0.67 Ω−1, mean transverse resistance of 5601.7 Ωm2, mean hydraulic conductivity of 3.5 m/day, mean transmissivity of 283 m2/day, mean storativity of 0.0002, and mean hydraulic diffusivity of 1 × 105 m2/day. The results indicated that the region's groundwater potential ranged from medium to high. Longitudinal conductance values indicated that the aquifer protective capacity ranged from moderate to poor. Geo-electrical technology was therefore found to be an effective methodology for delineating aquifer potentiality, protectivity, and vulnerability within the vulnerable coastal aquifer system.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"17 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140982006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovative polygon trend analysis for the monthly rainfall in the Mae Klong River Basin, Thailand","authors":"Alamgir Khalil","doi":"10.2166/wpt.2024.123","DOIUrl":"https://doi.org/10.2166/wpt.2024.123","url":null,"abstract":"\u0000 Historical fluctuations in hydroclimatic variables can reveal important information about water resource changes in any basin. The innovative polygon trend analysis (IPTA) method was used to analyze 45-year rainfall data from eight monitoring stations in the Mae Klong River Basin, Thailand. The IPTA graphics were developed for the mean monthly rainfall and the standard deviation of the monthly rainfall for each station. In addition, the IPTA results were compared with the Mann–Kendall (MK) test and the Sen's slope method. The IPTA graphics showed no regular polygon for any rainfall station, which indicated variability of rainfall over the years. The IPTA method showed increasing trends for the month of April while decreasing trends in the month of October for the majority of the stations (7 of 8). A good agreement for detection of trends was found between the IPTA method and the MK test. Both the methods found trends (increasing/decreasing) for 69 months (72%) and showed no trend for 27 months (28%) out of a total of 96 months. The findings of this study could benefit water supply and management, drought monitoring, and agricultural production activities in the Mae Klong River Basin in the future.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"12 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140980586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahdi Ghasemi, M. Hasani Zonoozi, Mohammad Javad Hoseini Shamsabadi
{"title":"Simultaneous nitrification and denitrification pattern in aerated moving-bed sequencing batch reactor: Choosing appropriate SRT for different COD/N ratios","authors":"Mahdi Ghasemi, M. Hasani Zonoozi, Mohammad Javad Hoseini Shamsabadi","doi":"10.2166/wpt.2024.124","DOIUrl":"https://doi.org/10.2166/wpt.2024.124","url":null,"abstract":"\u0000 \u0000 The effect of chemical oxygen demand (COD)/N ratio and sludge retention time (SRT) on the simultaneous nitrification and denitrification (SND) process in an aerated moving-bed sequencing batch reactor (A-MBSBR), for treating synthetic municipal wastewater, was studied. Three lab-scale reactors with SRTs of 5, 10, and 15 days were operated under COD/N ratios of 10 (phase 1) and 20 (phase 2). The high correlation coefficients between nitrification and denitrification efficiencies in both phases demonstrated that the denitrification efficiency in A-MBSBRs was strongly affected by nitrification efficiency (nitrate concentration). A high COD/N ratio of 20 in phase 2 provided suitable conditions for the increase and dominance of the population of heterotrophic bacteria over autotrophic nitrifiers, which led to weak nitrification (29.6–39.1%) and consequently weak denitrification (15.8–27.9%) in all reactors. In phase 2, increasing SRT from 5 to 15 days was beneficial for both nitrification and denitrification reactions. Therefore, the optimal SND efficiency in phase 2 was expected to be achieved under SRTs higher than 15 days. Under the COD/N ratio of 10 in phase 1, a better balance between the population of heterotrophs and autotrophs resulted in higher nitrification and denitrification efficiencies (44.4–62.7% and 26.3–42.8%, respectively). In phase 1, the highest and the lowest nitrification and denitrification efficiencies were obtained at SRTs of 10 and 5 days, respectively.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmad Talha Ansari, Natasha Nigar, Hafiz Muhammad Faisal, Muhammad Kashif Shahzad
{"title":"AI for clean water: efficient water quality prediction leveraging machine learning","authors":"Ahmad Talha Ansari, Natasha Nigar, Hafiz Muhammad Faisal, Muhammad Kashif Shahzad","doi":"10.2166/wpt.2024.120","DOIUrl":"https://doi.org/10.2166/wpt.2024.120","url":null,"abstract":"\u0000 Water is one of the most critical resources for maintaining life. Although it makes upto 70% of the earth’s surface but only a small amount of it is usable. Since water is used for a variety of functions, its quality must be determined before usage. The rapid increase of the world’s population has also had a significant influence on the environment, particularly on water quality. The quality of water has been deteriorating in recent years due to various pollutants. To control the water pollution, modeling and predicting the water quality has become a crucial need. In this work, we propose a machine learning (ML)-based model to predict and classify the water quality. The results from six different ML models are analyzed for accuracy, precision, recall, and F1 score as performance measures. The proposed approach is validated using benchmark dataset. The results show that Decision Tree ML model has a distinct superiority on other classifiers in terms of performance indicators like accuracy of 97.53%, precision of 87.66%, recall of 74.59%, and F1-score of 80.60%. This will help the aquatic system for better water quality analysis.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140992353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Parisa Nazari, Somayeh Sohrabi, F. Akhlaghian, Mohsen Mansouri, Mohammad Mehdi Malek Mohammadi
{"title":"Activity, stability, and kinetic study of CuO/TiO2 Janus photocatalyst for Rhodamine B degradation","authors":"Parisa Nazari, Somayeh Sohrabi, F. Akhlaghian, Mohsen Mansouri, Mohammad Mehdi Malek Mohammadi","doi":"10.2166/wpt.2024.118","DOIUrl":"https://doi.org/10.2166/wpt.2024.118","url":null,"abstract":"\u0000 \u0000 The CuO/TiO2 photocatalyst was synthesized using hydrothermal and sonochemical methods and subsequently applied to degrade rhodamine B in wastewater. The best synthesis conditions were established, determining Cu(NO3)2 solution concentration of 2.5 wt.% and calcination temperature of 500 °C. The CuO/TiO2 photocatalyst underwent characterization through various techniques, including ICP, photoluminescence, X-ray diffraction, ASAP, scanning electron microscope (SEM), EDAX, transmission electron microscopy (TEM), and diffuse reflectance spectroscopy. TEM and SEM analyses revealed the presence of TiO2 nanowires and CuO nanoparticles. The Box–Behnken design, encompassing 27 experimental runs, assessed the impact of process variables such as initial dye concentration, pH, UV lamp power, and catalyst dose on the degradation process. The model's R2 value of 0.9893 indicated a high precision in fitting the predicted data to their actual values. Analysis of variance results highlighted UV irradiation power as the most significant variable within the design space. In addition, the CuO/TiO2 photocatalyst demonstrated efficacy under visible light irradiation. Light-expanded clay aggregate beads were chosen as the substrate for photocatalyst immobilization, which enhanced the reaction rate. The stability of CuO/TiO2 was evidenced by about 2% reduction in efficiency after four degradation cycles.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":" 91","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ubechu Bridget, Opara Alexander Iheanyichukwu, Onyekuru Samuel Okechukwu, Ikechukwu Chigozie Chukwuemeka, Ofoh Ifeyinwa Juliana, Okechukwu Stephen Ifeanyi, N. Nkiru, Iwuoha Prince Osita, Ajaegbu Ebuka Emmanuel
{"title":"Hydrogeological assessment and contaminant transport modelling of Enyimba landfill site in Aba, Nigeria","authors":"Ubechu Bridget, Opara Alexander Iheanyichukwu, Onyekuru Samuel Okechukwu, Ikechukwu Chigozie Chukwuemeka, Ofoh Ifeyinwa Juliana, Okechukwu Stephen Ifeanyi, N. Nkiru, Iwuoha Prince Osita, Ajaegbu Ebuka Emmanuel","doi":"10.2166/wpt.2024.122","DOIUrl":"https://doi.org/10.2166/wpt.2024.122","url":null,"abstract":"\u0000 Commercial and industrial growth in cities generates hazardous waste, often disposed of in open dump sites, contaminating groundwater. Understanding pollutant movement and numerical models are crucial for effective water resource management. This study assessed hydrogeological dynamics and pollutant transfer in the Enyimba landfill site, Nigeria, using field surveys and contaminant modelling to understand groundwater quality and arsenic contamination spread. The research technique included field and laboratory experiments, as well as water sampling during both dry and wet seasons, to evaluate groundwater quality. The geochemical examination of groundwater samples revealed the amounts of several metals using atomic absorption spectrophotometry. The study used contaminant transport modelling with Visual MODFLOW Flex 6.1 and MT3DMS software to simulate groundwater flow and solute transport within the aquifer layers. Predictive simulations over a 20-year timeframe demonstrated the progressive spread of arsenic pollution from the landfill, resulting in an ellipsoid-shaped plume stretching from its source. Arsenic levels have gradually increased, posing a serious threat to groundwater quality and human health. The research highlights the need for remedial measures to reduce groundwater pollution, including waste recovery and recycling facilities and geo-membrane use. It emphasizes proactive actions to protect groundwater supplies and promote environmental sustainability in the Enyimba landfill site.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":" 53","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rashmitha Diwyanjalee Garusinghe, W. A. P. J. Premarathne
{"title":"Impact of rainfall on the water quality of a tropical river: based on the Nilwala River in the southern province of Sri Lanka between March and October 2019","authors":"Rashmitha Diwyanjalee Garusinghe, W. A. P. J. Premarathne","doi":"10.2166/wpt.2024.119","DOIUrl":"https://doi.org/10.2166/wpt.2024.119","url":null,"abstract":"\u0000 \u0000 The study addresses the pressing need for an effective monitoring system to assess aquatic water quality, given the exacerbating impact of climate change on surface water bodies. Focusing on the Nilwala River, the research pursues three main objectives: comparative analysis of the Weighted Arithmetic Water Quality Index (WAWQI) values across different river locations, exploration of correlations between monthly rainfall and various physicochemical parameters at distinct sampling sites, and examination of notable disparities in the WAWQI between dry and wet months. Data collected from eight river locations from March to October 2019 revealed significant temporal variations in pH, temperature, chemical oxygen demand (COD), electrical conductivity (EC), alkalinity, chloride (Cl−), and nitrate (NO3-) content. The WAWQI increased across all sites during the drought, with only Site 4 (Wellathota) deemed suitable for drinking. Statistical analyses using an one-way ANOVA and multiple linear regressions unveiled significant relationships between rainfall and pH, biological oxygen demand (BOD), EC, and total alkalinity. The total alkalinity is the most affected parameter by the rainfall. Rainfall positively predicted BOD, COD, and NO3- concentration while negatively predicting other parameters.","PeriodicalId":104096,"journal":{"name":"Water Practice & Technology","volume":"23 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141004820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}