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Kovač, Zoran, Zoran Nakić, Jadranka Barešić, and Jelena Parlov. "Nitrate Origin in the Zagreb Aquifer System." Geofluids 2018 (November 5, 2018): 1–15. http://dx.doi.org/10.1155/2018/2789691.
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Nitrates are among the most common groundwater contaminants worldwide, and the same situation is present within the Zagreb aquifer. The Zagreb aquifer presents the only source of potable water for inhabitants of the City of Zagreb and part of Zagreb County. Isotopic composition of water (δ2H and δ18O) and nitrates (δ15N and δ18O), groundwater chemistry, and molar ratios, in combination with correlation and multivariate statistical methods, have been used for the estimation of nitrate origin. Nitrate stable isotopes excluded synthetic fertilizer as the main source of nitrate contamination. They showed insignificant influence of denitrification on nitrate concentrations but could not define the main source of nitrate contamination. The usage of molar ratios, especially NO3−/K+, helped to clarify this issue. Waste water has been defined as the main source of nitrate contamination. All results indicate that nitrogen in a large extent enters the aquifer in the form of ammonium ion, which is transformed to nitrates by the process of nitrification.
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Lewandowski, A. M. "Costs of groundwater nitrate contamination." Journal of Soil and Water Conservation 63, no. 3 (May 1, 2008): 92A. http://dx.doi.org/10.2489/jswc.63.3.92a.
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Putro, Surya Damar Sasongko, and Wahyu Wilopo. "Assessment of nitrate contamination and its factors in the urban area of Yogyakarta, Indonesia." Journal of Degraded and Mining Lands Management 9, no. 4 (July 1, 2022): 3643. http://dx.doi.org/10.15243/jdmlm.2022.094.3643.
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Population growth in urban areas increases rapidly due to improving economic conditions. However, this growth is not always followed by the addition of public facilities such as clean water facilities and sewage water system networks, especially in developing countries. There are still many people who use on-site sanitation systems that will cause groundwater pollution problems. In addition, many people in urban areas still depend on groundwater for drinking water. The quality of groundwater becomes an essential factor for this purpose. One of the common groundwater problems in urban areas is nitrate concentration. Therefore, this study aimed to determine the potential groundwater contamination, the primary source of nitrate contamination in groundwater, and their influencing factor in the study area. The research method used the Cl/NO<sub>3</sub> ratio and Cl/Br ratio to determine the source of nitrate in the study area. The groundwater contamination potential was evaluated based on depth to the groundwater table, sorption capacity above the groundwater table, permeability, groundwater table gradient, and horizontal distance from the contaminant source. In addition, the total of family members, age of the settlement, the distance of the well from the septic tank, and groundwater table depth were correlated with nitrate concentration. The results showed that nitrate levels in the research area generally exceed the maximum drinking water limit by WHO, with the maximum concentration reaching 167 mg/L. The high concentration of nitrate in the groundwater is due to contamination. According to the diagrams of nitrate versus chloride and the Cl/Br ratio analysis, the primary source of groundwater nitrate contamination is a septic tank. The higher family member and age of the settlement have a positive correlation with increasing nitrate concentration. Besides, distance from the septic tank and depth of the groundwater table is negatively correlated with nitrate concentration.
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Lotfata, Aynaz, and Shrinidhi Ambinakudige. "Factors affecting the spatial pattern of nitrate contamination in Texas aquifers." Management of Environmental Quality: An International Journal 31, no. 4 (October 9, 2019): 857–76. http://dx.doi.org/10.1108/meq-05-2019-0097.
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Purpose The elevated level of nitrate in groundwater is a serious problem in Texas aquifers. To control and manage groundwater quality, the characterization of groundwater contamination and identification of the factors affecting the nitrate concentration of groundwater are significant. The purpose of this paper is to determine factors which have significant impacts on the elevated groundwater nitrate concentrations of the Southern High-Plains and the Edwards-Trinity aquifers. Design/methodology/approach The characterization of groundwater nitrate contamination was undertaken by analyzing the hydrochemical data of groundwater within a statistical framework. The multivariate statistical analysis (ordinary least square) and geographically weighted regression (GWR) models were used to study the relationship between groundwater nitrate contamination and land use of the study areas. Findings Results show groundwater nitrate contamination is typically due to an overapplication of N fertilizers to cotton in the Southern High-Plains aquifer and to grassland in the Edwards-Trinity aquifer. Adjusted R2 (0.45) explains variations of nitrate concentration by well-depth, cotton production, shrubland and grassland in the Edwards-Trinity aquifer. The results of an analysis of variations in N concentration with well depth for all 192 wells indicate that nitrate concentrations in water from wells in the Southern High-Plains and Edwards-Trinity aquifers tend to decrease with increasing well-depth. Originality/value In this study, the GWR model was built to identify nitrate concentration within a geographic framework to ensure sustainable use of groundwater, which is important for local management purposes. The analysis should include local spatial variations of elements such as hydrologic characteristics and the land use activities if groundwater nitrate contamination causes adverse effects on human and ecosystem health.
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Awais, Muhammad, Bilal Aslam, Ahsen Maqsoom, Umer Khalil, Fahim Ullah, Sheheryar Azam, and Muhammad Imran. "Assessing Nitrate Contamination Risks in Groundwater: A Machine Learning Approach." Applied Sciences 11, no. 21 (October 26, 2021): 10034. http://dx.doi.org/10.3390/app112110034.
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Groundwater is one of the primary sources for the daily water requirements of the masses, but it is subjected to contamination due to the pollutants, such as nitrate, percolating through the soil with water. Especially in built-up areas, groundwater vulnerability and contamination are of major concern, and require appropriate consideration. The present study develops a novel framework for assessing groundwater nitrate contamination risk for the area along the Karakoram Highway, which is a part of the China Pakistan Economic Corridor (CPEC) route in northern Pakistan. A groundwater vulnerability map was prepared using the DRASTIC model. The nitrate concentration data from a previous study were used to formulate the nitrate contamination map. Three machine learning (ML) models, i.e., Support Vector Machine (SVM), Multivariate Discriminant Analysis (MDA), and Boosted Regression Trees (BRT), were used to analyze the probability of groundwater contamination incidence. Furthermore, groundwater contamination probability maps were obtained utilizing the ensemble modeling approach. The models were calibrated and validated through calibration trials, using the area under the receiver operating characteristic curve method (AUC), where a minimum AUC threshold value of 80% was achieved. Results indicated the accuracy of the models to be in the range of 0.82–0.87. The final groundwater contamination risk map highlights that 34% of the area is moderately vulnerable to groundwater contamination, and 13% of the area is exposed to high groundwater contamination risk. The findings of this study can facilitate decision-making regarding the location of future built-up areas properly in order to mitigate the nitrate contamination that can further reduce the associated health risks.
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Rawat, Meenakshi, Rintu Sen, Ikenna Onyekwelu, Travis Wiederstein, and Vaishali Sharda. "Modeling of Groundwater Nitrate Contamination Due to Agricultural Activities—A Systematic Review." Water 14, no. 24 (December 8, 2022): 4008. http://dx.doi.org/10.3390/w14244008.
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Groundwater nitrate contamination is a significant concern in agricultural watersheds worldwide with it becoming a more pervasive problem in the last three decades. Models are great tools that are used to identify the sources and spatial patterns of nitrate contamination of groundwater due to agricultural activities. This Systematic Review (SR) seeks to provide a comprehensive overview of different models used to estimate nitrate contamination of groundwater due to agricultural activities. We described different types of models available in the field of modeling groundwater nitrate contamination, the models used, the input requirements of different models, and the evaluation metrics used. Out of all the models reviewed, stand-alone process-based models are predominantly used for modeling nitrate contamination, followed by integrated models, with HYDRUS and LEACHM models being the two most commonly used process-based models worldwide. Most models are evaluated using the statistical metric Root Mean Square Error (RMSE) followed by the correlation coefficient (r). This study provides the current basis for model selection in modeling nitrate contamination of groundwater due to agricultural activities. In addition, it also provides a clear and concise picture of the state of the art and implications to the scientific community doing groundwater quality modeling studies.
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Kasperczyk, Lidia, Magdalena Modelska, and Stanisław Staśko. "Pollution indicators in groundwater of two agricultural catchments in Lower Silesia (Poland)." Geoscience Records 3, no. 1 (December 1, 2016): 18–29. http://dx.doi.org/10.1515/georec-2016-0007.
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Abstract The article discusses the content and source of mineral nitrogen compounds in groundwater, based on the data collected in two river catchments in two series (spring and autumn 2014). The study area comprises two catchments located in Lower Silesia, Poland - Cicha Woda and Sąsiecznica. Both catchments are characterised agricultural character of development. In the both researched areas, the points of State Environmental Monitoring (SEM) are located but only the Cicha Woda area is classified as nitrate vulnerable zone (NVZ). To analyse and compare the contamination of Quaternary and Neogene aquifers, the concentration of nitrates, nitrites, ammonium and potassium ions was measured primarily. Results showed the exceedance of nitrogen mineral forms of shallow groundwater Quaternary aquifer in both basins. The concentration of nitrates range from 0.08 to 142.12 mgNO3 −−/dm3 (Cicha Woda) and from 2.6 to 137.65 mg NO3 −−/dm3 (Sąsiecznica). The major source of pollution is probably the intensive agriculture activity. It causes a degradation of the shallow groundwater because of nitrate, nitrite, potassium, phosphates and ammonium contents. There was no observed contamination of anthropogenic origin in the deeper Neogene aquifer of Cicha Woda catchment.
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Wang, Xihua, Shunqing Jia, Zejun Liu, and Boyang Mao. "Watershed-Scale Shallow Groundwater Anthropogenic Nitrate Source, Loading, and Contamination Assessment in a Typical Wheat Production Region: Case Study in Yiluo River Watershed, Middle of China." Water 14, no. 23 (December 6, 2022): 3979. http://dx.doi.org/10.3390/w14233979.
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Nitrate pollution in groundwater has become a global concern for agriculture and regional ecology. However, tracing the spatiotemporal groundwater nitrate pollution sources, calculating the total nitrogen loading, and assessing contamination at the watershed scale have not been well documented. In this study, 20 groundwater samplings from 2020 to 2021 (in dry and wet seasons) on the Yiluo River watershed in middle China were collected. Tracing groundwater nitrate pollution sources, calculating total nitrogen loading, and assessing contamination using dual isotopes (18ONO3 and 15NNO3), conservation of mass, and the nitrate pollution index (NPI), respectively. The results indicated that there were three nitrate sources in groundwater: (1) manure and sewage waste input (MSWI), (2) sediment nitrogen input (SNI), and (3) agriculture chemical fertilizer input (ACFI) in the Yiluo River watershed. ACFI and SNI were the main groundwater nitrogen pollution sources. The average nitrogen loading percentages of ACFI, SNI, and MSWI in the whole watershed were 94.7%, 4.34%, and 0.96%, respectively. The total nitrogen loading in the Yiluo River watershed was 7,256,835.99 kg/year, 4,084,870.09 kg/year in downstream areas, 2,121,938.93 kg/year in midstream areas, and 1,050,026.95 kg/year in upstream areas. Sixty percent of groundwater in the Yiluo River watershed has been polluted by nitrate. Nitrate pollution in midstream areas is more severe. Nitrite pollution was more serious in the wet season than in the dry season. The results of this study can provide useful information for watershed-scale groundwater nitrogen pollution control and treatment.
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Wick, Katharina, Christine Heumesser, and Erwin Schmid. "Groundwater nitrate contamination: Factors and indicators." Journal of Environmental Management 111 (November 2012): 178–86. http://dx.doi.org/10.1016/j.jenvman.2012.06.030.
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Lampman, Wray. "Susceptibility of Groundwater to Pesticide and Nitrate Contamination in Predisposed Areas of Southwestern Ontario." Water Quality Research Journal 30, no. 3 (August 1, 1995): 443–68. http://dx.doi.org/10.2166/wqrj.1995.037.
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Abstract Agricultural practices today employ a vast array of chemicals in large volumes in order to improve both the quantity and quality of our agricultural products. While it has long been recognized that runoff from agricultural land has the potential to degrade surface water quality, only recently has attention been focused on the effect of agricultural usage on groundwater. In order to study the effects of pesticides and nitrate usage on the quality of groundwater, in 1985 the Ontario Ministry of Environment and Energy began operating a groundwater monitoring program in southwestern Ontario. Data generated from this program, which utilized sample data collected from both wells and piezometers, indicate that in areas of heavy pesticide and nitrate usage, shallow groundwater is continuously testing positive for nitrate and a variety of pesticides. Factors which influence the number of positive incidents for pesticides are directly related to the persistence of the chemical, its method of application, and the amounts utilized. Soil types and depth to groundwater, although influencing the time of detection, do not govern the number of detection events. Changes in agricultural practices are also monitored to see if pesticide reduction, a variation in the method of application, crop rotations and an increase in soil organic matter could influence the levels of pesticide It was found that when chemicals of a low persistence were applied post emergent at the minimum recommended rate, pesticides were not detected in the groundwater. Crop rotations were also effective in reducing the level of pesticides in groundwater. Tillage practices and increases in soil organic matter were also effective in reducing pesticide contamination. It was found that when chemicals of a low persistence were applied post emergent at the minimum recommended rate, pesticides were not detected in the groundwater. Crop rotation and reduction in nitrate loadings were found to be the only effective methods to reduce nitrate loading to groundwater. It was also found that elevated levels of potassium and/or nitrate in groundwater serve as a reliable indicator of the groundwater susceptibility to pesticide contamination. Remedial action to alleviate the impact of pesticides and nitrates in groundwater must focus on the chemical usage patterns employed on the farm site and an overall reduction of the quantities of pesticides and nitrates utilized. These patterns must incorporate a well-designed program of crop rotation with the proper utilization of these chemicals on site.
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Shaban, Jehad, Husam Al-Najar, Kumsal Kocadal, Khaled Almghari, and Sahan Saygi. "The Effect of Nitrate-Contaminated Drinking Water and Vegetables on the Prevalence of Acquired Methemoglobinemia in Beit Lahia City in Palestine." Water 15, no. 11 (May 24, 2023): 1989. http://dx.doi.org/10.3390/w15111989.
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Nitrates significantly impact human health and the environment. Drinking water and vegetables are considered the main sources of exposure to exogenous nitrates for humans. This study aimed to estimate and assess the health hazards from nitrate contamination present in drinking water and vegetables for infants in the north of the Gaza Strip. A total of 252 samples were collected from groundwater and drinking water, and 15 vegetable samples were analyzed with a spectrophotometer. In addition, an ELISA kit was used to determine methemoglobin in 87 infant blood samples. According to the findings of this study, the nitrate concentration in groundwater was in the range from 58.3 mg/L to 178.4 mg/L. Meanwhile, the nitrate levels in drinking water were found to be between 10 and 17 mg/L. As for vegetables, carrots (237.20 ± 53.23 mg kg−1), potatoes (246.80 ± 81.42 mg kg−1), and zucchini (275.86 ± 58.87 mg kg−1) had varying nitrate concentrations. Lastly, the study revealed that methemoglobinemia was present in 32.2% of infant samples in the study area. This study concluded that 97% of groundwater in desalination plants exceeded WHO guidelines (>50 mg/L), and the values of nitrates in drinking water showed the existence of nitrate contamination. Among vegetables, zucchini has the highest nitrate content. Exposure to drinking water and vegetables contaminated with nitrate increased the percentage of methemoglobin levels in infants.
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Souvannachith, Thilavanh, Doni Prakasa Eka Putra, and Heru Hendrayana. "Assessment of Groundwater Contamination Hazard by Nitrate in Samas Area, Bantul District, Yogyakarta, Indonesia." Journal of Applied Geology 2, no. 1 (November 13, 2017): 36. http://dx.doi.org/10.22146/jag.30256.
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Groundwater resource is an essential for various purposes in Bantul district, Yogyakarta Special Province, Indonesia, especially on Poncosari village where the water supply are depending on shallow groundwater resources. On this village, most of the houses using dug wells to provide their water needs and applying inappropriate on-site sanitation system, however there are also difference land uses. This condition increase the hazard of groundwater contamination by fecal coli bacteria and nitrate. Therefore, this research aims in term of three main objectives: firstly, to know the level of nitrate concentration in groundwater, secondly, to assess groundwater vulnerability and thirdly, to assess the level of groundwater contaminant hazard. Hydrogeology observation was conducted and 47 water samples (44 groundwater samples and 3 surface water samples) were collected from different land use type and analyze for nitrate (NO 3) content. Methodology used to assess the groundwater vulnerability was Simple Vertical Vulnerability method and the groundwater contamination hazard built based on the combination of groundwater vulnerability and nitrate loading potential map. Results show that groundwater concentrations of nitrate range from 0.09–74.80 mg/L and the highest concentration found in the settlement area. Assessment of groundwater vulnerability reveals three areas of moderate, moderate high and high classes of vulnerability due to shallow groundwater and the sandy dominated overlying material in the study area. Combination of groundwater vulnerability and nitrate loading potential map indicated that groundwater contaminant hazard of nitrate range from low to high class. High class of hazard located in the settlement area, and low hazard of nitrate contamination found in the irrigated rice field area
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Stylianoudaki, Christina, Ioannis Trichakis, and George P. Karatzas. "Modeling Groundwater Nitrate Contamination Using Artificial Neural Networks." Water 14, no. 7 (April 6, 2022): 1173. http://dx.doi.org/10.3390/w14071173.
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The scope of the present study is the estimation of the concentration of nitrates (NO3−) in groundwater using artificial neural networks (ANNs) based on easily measurable in situ data. For the purpose of the current study, two feedforward neural networks were developed to determine whether including land use variables would improve the model results. In the first network, easily measurable field data were used, i.e., pH, electrical conductivity, water temperature, air temperature, and aquifer level. This model achieved a fairly good simulation based on the root mean squared error (RMSE in mg/L) and the Nash–Sutcliffe Model Efficiency (NSE) indicators (RMSE = 26.18, NSE = 0.54). In the second model, the percentages of different land uses in a radius of 1000 m from each well was included in an attempt to obtain a better description of nitrate transport in the aquifer system. When these variables were used, the performance of the model increased significantly (RMSE = 15.95, NSE = 0.70). For the development of the models, data from chemical and physical analyses of groundwater samples from wells located in the Kopaidian Plain and the wider area of the Asopos River Basin, both in Greece, were used. The simulation that the models achieved indicates that they are a potentially useful tools for the estimation of groundwater contamination by nitrates and may therefore constitute a basis for the development of groundwater management plans.
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Burkart, M. R., and J. D. Stoner. "Nitrate in aquifers beneath agricultural systems." Water Science and Technology 56, no. 1 (July 1, 2007): 59–69. http://dx.doi.org/10.2166/wst.2007.436.
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Research from several regions of the world provides spatially anecdotal evidence to hypothesize which hydrologic and agricultural factors contribute to groundwater vulnerability to nitrate contamination. Analysis of nationally consistent measurements from the U.S. Geological Survey's NAWQA program confirms these hypotheses for a substantial range of agricultural systems. Shallow unconfined aquifers are most susceptible to nitrate contamination associated with agricultural systems. Alluvial and other unconsolidated aquifers are the most vulnerable and also shallow carbonate aquifers that provide a substantial but smaller contamination risk. Where any of these aquifers are overlain by permeable soils the risk of contamination is larger. Irrigated systems can compound this vulnerability by increasing leaching facilitated by additional recharge and additional nutrient applications. The system of corn, soybean, and hogs produced significantly larger concentrations of groundwater nitrate than all other agricultural systems because this system imports the largest amount of N-fertilizer per unit production area. Mean nitrate under dairy, poultry, horticulture, and cattle and grains systems were similar. If trends in the relation between increased fertilizer use and groundwater nitrate in the United States are repeated in other regions of the world, Asia may experience increasing problems because of recent increases in fertilizer use. Groundwater monitoring in Western and Eastern Europe as well as Russia over the next decade may provide data to determine if the trend in increased nitrate contamination can be reversed. If the concentrated livestock trend in the United States is global, it may be accompanied by increasing nitrogen contamination in groundwater. Concentrated livestock provide both point sources in the confinement area and intense non-point sources as fields close to facilities are used for manure disposal. Regions where irrigated cropland is expanding, such as in Asia, may experience the greatest impact of this practice on groundwater nitrate.
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Ducci, Daniela. "An Easy-to-Use Method for Assessing Nitrate Contamination Susceptibility in Groundwater." Geofluids 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/1371825.
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This research presents a methodology for assessing nitrate contamination susceptibility in groundwater using thematic maps, derived mainly from the land use map and from statistical data available at national/regional institutes of statistics (especially demographic and environmental data). The methodology was applied in a large area of southern Italy encompassing 4 alluvial and volcanic groundwater bodies, with high concentrations of NO3. The Potential Nitrate Contamination is believed to derive from three sources: agricultural, urban, and periurban. The first one is related to the use of fertilizers. For this reason the land use map was reclassified on the basis of the crop requirements in terms of fertilizers to obtain the Agricultural Potential Nitrate Contamination (APNC) map. The urban source considers leakages from the sewage network and, consequently, it depends on the anthropogenic pressure, expressed by the population density, particularly concentrated in the urbanized areas (Urban Potential Nitrate Contamination (UPNC) map). The periurban sources include unsewered areas, especially present in the periurban context, where illegal sewage connections coexist with on-site sewage disposal (cesspools, septic tanks, and pit latrines) (Periurban Potential Nitrate Contamination (PuPNC) map). The Potential Nitrate Contamination (PNC) map is produced by overlaying the APNC, UPNC, and PuPNC maps. The map combination process is straightforward, being an algebraic combination: the output values are the arithmetic average of the input values. The final pollution susceptibility (RISK) map is obtained by combining the PNC map with the groundwater contamination vulnerability (GwVu) map. The methodology, successfully applied in the study area with a relatively good correlation between the nitrate contamination susceptibility map and the nitrate distribution in groundwater, appears to be effective and have a significant potential for being applied worldwide.
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Ouedraogo, Issoufou, and Marnik Vanclooster. "A meta-analysis and statistical modelling of nitrates in groundwater at the African scale." Hydrology and Earth System Sciences 20, no. 6 (June 17, 2016): 2353–81. http://dx.doi.org/10.5194/hess-20-2353-2016.
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Abstract. Contamination of groundwater with nitrate poses a major health risk to millions of people around Africa. Assessing the space–time distribution of this contamination, as well as understanding the factors that explain this contamination, is important for managing sustainable drinking water at the regional scale. This study aims to assess the variables that contribute to nitrate pollution in groundwater at the African scale by statistical modelling. We compiled a literature database of nitrate concentration in groundwater (around 250 studies) and combined it with digital maps of physical attributes such as soil, geology, climate, hydrogeology, and anthropogenic data for statistical model development. The maximum, medium, and minimum observed nitrate concentrations were analysed. In total, 13 explanatory variables were screened to explain observed nitrate pollution in groundwater. For the mean nitrate concentration, four variables are retained in the statistical explanatory model: (1) depth to groundwater (shallow groundwater, typically < 50 m); (2) recharge rate; (3) aquifer type; and (4) population density. The first three variables represent intrinsic vulnerability of groundwater systems to pollution, while the latter variable is a proxy for anthropogenic pollution pressure. The model explains 65 % of the variation of mean nitrate contamination in groundwater at the African scale. Using the same proxy information, we could develop a statistical model for the maximum nitrate concentrations that explains 42 % of the nitrate variation. For the maximum concentrations, other environmental attributes such as soil type, slope, rainfall, climate class, and region type improve the prediction of maximum nitrate concentrations at the African scale. As to minimal nitrate concentrations, in the absence of normal distribution assumptions of the data set, we do not develop a statistical model for these data. The data-based statistical model presented here represents an important step towards developing tools that will allow us to accurately predict nitrate distribution at the African scale and thus may support groundwater monitoring and water management that aims to protect groundwater systems. Yet they should be further refined and validated when more detailed and harmonized data become available and/or combined with more conceptual descriptions of the fate of nutrients in the hydrosystem.
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Bi, Pan, Lixin Pei, Guanxing Huang, Dongya Han, and Jiangmin Song. "Identification of Groundwater Contamination in a Rapidly Urbanized Area on a Regional Scale: A New Approach of Multi-Hydrochemical Evidences." International Journal of Environmental Research and Public Health 18, no. 22 (November 19, 2021): 12143. http://dx.doi.org/10.3390/ijerph182212143.
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Efficient identification of groundwater contamination is a major issue in the context of groundwater use and protection. This study used a new approach of multi-hydrochemical indicators, including the Cl-Br mass ratio, the hydrochemical facies, and the concentrations of nitrate, phosphate, organic contaminants, and Pb in groundwater to identify groundwater contamination in the Pearl River Delta (PRD) where there is large scale urbanization. In addition, the main factors resulting in groundwater contamination in the PRD were also discussed by using socioeconomic data and principal component analysis. Approximately 60% of groundwater sites in the PRD were identified to be contaminated according to the above six indicators. Contaminated groundwaters commonly occur in porous and fissured aquifers but rarely in karst aquifers. Groundwater contamination in porous aquifers is positively correlated with the urbanization level. Similarly, in fissured aquifers, the proportions of contaminated groundwater in urbanized and peri-urban areas were approximately two times that in non-urbanized areas. Groundwater contamination in the PRD was mainly attributed to the infiltration of wastewater from township-village enterprises on a regional scale. In addition, livestock waste was also an important source of groundwater contamination in the PRD. Therefore, in the future, the supervision of the wastewater discharge of township-village enterprises and the waste discharge of livestock should be strengthened to protect against groundwater contamination in the PRD.
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Burkart, M. R., and J. D. Stoner. "Nitrate in aquifers beneath agricultural systems." Water Science and Technology 45, no. 9 (May 1, 2002): 19–29. http://dx.doi.org/10.2166/wst.2002.0195.
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Research from several regions of the world provides spatially anecdotal evidence to hypothesize which hydrologic and agricultural factors contribute to groundwater vulnerability to nitrate contamination. Analysis of nationally consistent measurements from the U.S. Geological Survey’s NAWQA program confirms these hypotheses for a substantial range of agricultural systems. Shallow unconfined aquifers are most susceptible to nitrate contamination associated with agricultural systems. Alluvial and other unconsolidated aquifers are the most vulnerable and shallow carbonate aquifers provide a substantial but smaller contamination risk. Where any of these aquifers are overlain by permeable soils the risk of contamination is larger. Irrigated systems can compound this vulnerability by increasing leaching facilitated by additional recharge and additional nutrient applications. The agricultural system of corn, soybeans, and hogs produced significantly larger concentrations of groundwater nitrate than all other agricultural systems, although mean nitrate concentrations in counties with dairy, poultry, cattle and grains, and horticulture systems were similar. If trends in the relation between increased fertilizer use and groundwater nitrate in the United States are repeated in other regions of the world, Asia may experience increasing problems because of recent increases in fertilizer use. Groundwater monitoring in Western and Eastern Europe as well as Russia over the next decade may provide data to determine if the trend in increased nitrate contamination can be reversed. If the concentrated livestock trend in the United States is global, it may be accompanied by increasing nitrogen contamination in groundwater. Concentrated livestock provide both point sources in the confinement area and intense non-point sources as fields close to facilities are used for manure disposal. Regions where irrigated cropland is expanding, such as in Asia, may experience the greatest impact of this practice.
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Power, J. F., and J. S. Schepers. "Nitrate contamination of groundwater in North America." Agriculture, Ecosystems & Environment 26, no. 3-4 (October 1989): 165–87. http://dx.doi.org/10.1016/0167-8809(89)90012-1.
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Goss, M. J., and D. Goorahoo. "Nitrate contamination of groundwater: Measurement and prediction." Fertilizer Research 42, no. 1-3 (1995): 331–38. http://dx.doi.org/10.1007/bf00750525.
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Esmaeili, Ali, Farid Moore, and Behnam Keshavarzi. "Nitrate contamination in irrigation groundwater, Isfahan, Iran." Environmental Earth Sciences 72, no. 7 (March 7, 2014): 2511–22. http://dx.doi.org/10.1007/s12665-014-3159-z.
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Miljević, Nada, Djulija Boreli-Zdravković, Vesna Obradović, Dušan Golobočanin, and Bernhard Mayer. "Evaluation of the origin of nitrate influencing the Ključ groundwater source, Serbia." Water Science and Technology 66, no. 3 (August 1, 2012): 472–78. http://dx.doi.org/10.2166/wst.2012.179.
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This paper describes the use of the dual isotope method involving δ15N and δ18O measurements of dissolved nitrates to assess the origin and fate of groundwater nitrate at the Ključ groundwater source, Serbia. A sampling campaign was conducted in September 2007 during flow conditions obtaining groundwater from observation wells and river water fed by a shallow aquifer hosted in alluvial (sandy-gravel) sediments. Nitrate isotope ratios ranged from +5.3 to +16.9‰ and δ18ONO3 values varied from −2.3 to +5.0‰. Two major contamination sources were identified with isotopic compositions characteristic for nitrate derived from nitrification of soil organic nitrogen (+5.3 to +7.8‰ for δ15N) resulting in nitrate concentrations of 33.6 and 78.8 mg/L and nitrate derived from animal wastes or human sewage, e.g. via septic systems, yielding δ15N values of +9.9 to +11.9‰ and elevated nitrate concentrations of 31.2–245.8 mg/L. The occurrence of nitrification and denitrification was also revealed based on concentration and isotope data for dissolved nitrate.
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Briand, Cyrielle, Valérie Plagnes, Mathieu Sebilo, Pascale Louvat, Thierry Chesnot, Maude Schneider, Pierre Ribstein, and Pierre Marchet. "Combination of nitrate (N, O) and boron isotopic ratios with microbiological indicators for the determination of nitrate sources in karstic groundwater." Environmental Chemistry 10, no. 5 (2013): 365. http://dx.doi.org/10.1071/en13036.
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Environmental context Nitrate contamination of drinking water quality may be critical, particularly in rural areas where agricultural practices may release large amounts of nitrogen. Knowledge of the source of such contamination, mandatory for water supply management, can be successfully acquired by combining the natural stable isotopes of nitrate, boron isotopic ratios and microbiological indicators. Abstract A new approach based on measurements of nitrate and boron isotopic composition associated with microbiological indicators for the determination of nitrate origin in karstic groundwater (SW, France) is presented. Nitrate and boron isotopic data indicate an animal source of nitrate (δ15N–NO3–>5‰, δ18O–NO3–<10‰ and δ11B ~25‰). Microorganism detection (bacteriophages) confirmed contamination from animal sources and proved fast water transfer (2–3 days) from surface to groundwater.
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Ardhaneswari, Mutia, and Bambang Wispriyono. "Analisis Risiko Kesehatan Akibat Pajanan Senyawa Nitrat dan Nitrit Pada Air Tanah di Desa Cihambulu Subang." Jurnal Kesehatan Lingkungan Indonesia 21, no. 1 (October 27, 2021): 65–72. http://dx.doi.org/10.14710/jkli.21.1.65-72.
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Latar belakang: Penggunaan pupuk nitrogen seperti NPK dan urea pada lahan pertanian dapat menyebabkan pencemaran pada air tanah di wilayah pertanian. Pupuk nitrogen yang diaplikasikan pada tanah akan mengalami leaching terbawa air hujan masuk ke dalam tanah. Konsumsi air tanah yang mengandung nitrat dan nitrit dapat mengakibatkan dampak kesehatan seperti Blue Baby Syndrome atau Methemoglobinemia dan kanker. Penelitian ini dilakukan untuk menganalisis konsentrasi nitrat dan nitrit pada air tanah dan mengukur tingkat risiko kesehatan yang ditimbulkan dari kedua pajanan ini terhadap penduduk di Desa Cihambulu, Subang.Metode: Penelitian ini dilakukan pada bulan Februari 2021 dengan menggunakan metode Analisis Risiko Kesehatan Lingkungan. Wawancara dilakukan kepada 123 responden dari 33 unit rumah tangga untuk memperoleh informasi berat badan, laju konsumsi dan lama tinggal responden di lokasi penelitian.. Sebanyak 33 sampel air tanah diambil dari 33 unit rumah tangga yang telah dilakukan wawancara. Pengukuran tingkat risiko kesehatan dilakukan dengan menghitung nilai Risk Quotion (RQ) dari masing-masing kelompok responden anak, wanita dan pria dewasa. Hasil: Hasil analisis menunjukkan konsentrasi nitrat (NO3-N) pada air tanah berkisar antara 0,03 - 6,7 mg/L dengan rata-rata 1,38 mg/L sedangkan konsentrasi nitrit (NO2-N) pada air tanah berkisar antara 0,01 - 0,08 mg/L dengan rata-rata 0,02 mg/L. Tingkat risiko kesehatan non karsinogenik menunjukkan nilai RQ < 1 untuk 3 (tiga) kelompok responden yaitu anak, wanita dan pria dewasa.Simpulan: Seluruh sampel air tanah masih memenuhi baku mutu dalam Peraturan Menteri Kesehatan Nomor 492/Menkes/Per/IV/2010 tentang Persyaratan Kualitas Air Minum, untuk parameter nitrat dan nitrit. Tingkat risiko kesehatan non karsinogenik yang disebabkan dari kedua pajanan tersebut pada air tanah menunjukkan nilai RQ < 1 dimana kedua pajanan tersebut belum beresiko menimbukan efek merugikan bagi kesehatan. ABSTRACT Title: Health Risk Assessment of Nitrate and Nitrite in Groundwater in the Agricultural Area, Cihambulu Village, Subang,Background: The use of nitrogen fertilizers such as NPK and urea on agricultural land can cause contamination of groundwater in agricultural areas. Nitrogen fertilizer applied to the soil will be carried by rainwater into the soil. Consumption of groundwater containing nitrates and nitrites can lead to health effects such as Blue Baby Syndrome or Methemoglobinemia and cancer. This study was conducted to determine the concentration of nitrate and nitrite in groundwater and to determine the level of health risk posed by these two exposures to residents in Cihambulu Village, Subang..Method: This study was conducted in February 2021 using the method of Environmental Health Risk Assessment. Interview were conducted with 123 respondents from 33 household units to obtain information on weight, consumption rate and length of stay of respondents in the study location. A total of 33 groundwater samples were taken from 33 household units that had been interviewed.Result: The results shows that the concentration of nitrate (NO3-N) in groundwater ranged from 0.03 - 6.7 mg/L with an average of 1.38 mg/L while the concentration of nitrite (NO2-N) in groundwater ranged from 0.01 - 0.08 mg/L with an average of 0.02 mg/L. The level of non-carcinogenic health risk shows an RQ value < 1 for 3 (three) groups of respondents, namely children, women and adult men.Conclusion: All groundwater samples contain nitrate and nitrite within acceptable limits according to the requirements in the Regulation of the Minister of Health Number 492/Menkes/Per/IV/2010 concerning Requirements for Drinking Water Quality, especially nitrate and nitrite requirementrs. The level of non-carcinogenic health risk caused by this exposures to groundwater shows an RQ value < 1 where the two exposures are not at risk of causing adverse health effects.
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Yashooa, Noor, and Dana Mawlood. "Modeling Contamination Transport (Nitrate) in Central Basin Erbil, Kurdistan Region, Iraq with Support of MODFLOW Software." Iraqi Geological Journal 56, no. 1E (May 31, 2023): 234–46. http://dx.doi.org/10.46717/igj.56.1e.18ms-2023-5-28.
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Groundwater is one of the essential water resources in the Kurdistan Region and Erbil City. The development leads to depletion in the quality and quantity of groundwater. This study aimed to model groundwater flow in the study area within the central basin and simulate the nitrate transport from the Erbil landfill site for 10, 20, 30, 40, and 50 years using the Groundwater Modeling System (GMS) version 10.6.2. The study area covers 579.72 km2; data about the groundwater observation head was obtained from the general direction of groundwater. A sample of wastewater was taken from landfill leachate to check the its properties. Landfill leachate is considered a point source of contamination. The GMS is a powerful software for modeling groundwater flow and contamination transport. The results show a good correlation between the observed and predicted heads, and the R2 of the model equals 0.9917. The plume of nitrate contamination spread horizontally and vertically to about 1.5 km downstream landfill and approximately 1.5km upstream landfill. The nitrate reaches the third layer to a depth of more than 325 m after 50 years.
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Tantama, E. E., M. A. Kumara, D. P. E. Putra, and G. I. Marliyani. "Nitrate contamination level in groundwater of the randublatung basin and its surroundings." IOP Conference Series: Earth and Environmental Science 926, no. 1 (November 1, 2021): 012079. http://dx.doi.org/10.1088/1755-1315/926/1/012079.
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Abstract The community of Randublatung basin and its surroundings (Grobogan, Blora, and Bojonegoro Regencies) using groundwater for agricultural, farming, and daily needs. However, these activities can contaminate the groundwater through nitrate and chloride in fertilizers, pesticides, animal waste, and household waste. Therefore, it is crucial to know the amount of nitrate and chloride content in the groundwater of The Randublatung basin and its surroundings. This research aims to analyze nitrate and chloride content and the ratio between ions in the groundwater of The Randublatung basin and its surroundings to find contaminant resources. The method to analyze the nitrate and chloride content is using Ion Chromatography. The analysis result from 35 samples of groundwater shows that the average nitrate content in dug wells samples is 10.06 mg/L, while the average from pump wells is 6.31 mg/L. The average chloride in dug wells samples is 43.65 mg/L, and the average from pump wells is 54.57 mg/L. These nitrate and chloride level are still in safe category based on Health Ministry Indonesia and WHO. The nitrate: chloride ratio in dug wells is 1:5, 1:9 from pump wells. The ratios indicate that the nitrate’s resource is associated with the on-site sanitation and will increase if there is no mitigation action to the contaminant resource.
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Adelman, D. D., and M. F. Dahab. "Risk versus Economic Return in Managing Groundwater Nitrate Contamination." Water Science and Technology 28, no. 3-5 (August 1, 1993): 55–63. http://dx.doi.org/10.2166/wst.1993.0403.
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A nitrate transport model was developed to project the impact of a substantial buildup of nitrate in the groundwater in the eastern Sandhills region of Nebraska. Predicted nitrate levels were evaluated using a Multi-Criteria Decision Making technique. Two criteria were used to determine optimum farm management practices: economic return to the irrigators and risk to domestic water users. The optimum farm management practice consisted of an above average irrigation rate and a below average nitrogen fertilizer rate. The low fertilization rate had one of the lowest risks of excessive ground water nitrate levels, while the high irrigation rate maximized the economic return. Therefore, this practice was optimal because it was the best compromise between minimum risk and maximum economic return. The risk of excessive groundwater nitrate for the optimum practice was 51 percent and for the other seven practices simulated ranged up to 54 percent.
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Jamuna, M., M. Gandhimathi, J. Abdul Bari, and T. Niveditha. "Florida’s Aquifer Vulnerability to Nitrate Contamination: A GIS Model." Nature Environment and Pollution Technology 21, no. 1 (March 6, 2022): 247–53. http://dx.doi.org/10.46488/nept.2022.v21i01.028.
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Groundwater is a crucial natural resource in the state of Florida. since it supports to environmental, social, and economic aspects of the country. Groundwater will not be contaminated easily but it is difficult to restore once it is contaminated. Since its extensive usage in agricultural activities in the state of Florida, groundwater has degraded in recent years, resulting in many direct and indirect impacts, particularly nitrogen content in the form of nitrates using Geographical Information System (GIS) technology, the researchers investigated the effects of groundwater on Nitrogen (NO3) content in the study area by creating a spatial distribution of NO3 contamination, which was then analyzed using GIS, Kriging Interpolation, and the DRASTIC model to determine the susceptibility of groundwater to NO3 contamination. The final result depicts the model’s performance as vulnerability groups, which are based on natural breaks showing places that are more susceptible to nitrogen pollution. The map highlighted that the south zone of Florida was more vulnerable to nitrogen contamination, necessitating more careful wastewater disposal system planning.
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Jin, Jing, Zihe Wang, Yiping Zhao, Huijun Ding, and Jing Zhang. "Delineation of Hydrochemical Characteristics and Tracing Nitrate Contamination of Groundwater Based on Hydrochemical Methods and Isotope Techniques in the Northern Huangqihai Basin, China." Water 14, no. 19 (October 8, 2022): 3168. http://dx.doi.org/10.3390/w14193168.
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Hydrochemical research and identification of nitrate contamination are of great significant for the endorheic basin, and the Northern Huangqihai Basin (a typical endorheic basin) was comprehensively researched. The results showed that the main hydrochemical facies were HCO3–Mg·Ca and HCO3–Ca·Mg. Spatial variation coefficients of most indices were greater than 60%, which was probably caused by human activities. The hydrochemical evolution was mainly affected by rock weathering and also by cation exchange. The D–18O relationship of groundwater was δD = 5.93δ18O − 19.18, and the d–excess range was −1.60–+6.01‰, indicating that groundwater was mainly derived from precipitation and that contaminants were very likely to enter groundwater along with precipitation infiltration. The NO3(N) contents in groundwater exceeded the standard. Hydrochemical analyses indicated that precipitation, industrial activities and synthetic NO3 were unlikely to be the main sources of nitrate contamination in the study area. No obvious denitrification occurred in the transformation process of nitrate. The δ15N(NO3) values ranged from +0.29‰ to +14.39‰, and the δ18O(NO3) values ranged from −6.47‰ to +1.24‰. Based on the δ15N(NO3) – δ18O(NO3) dual isotope technique and hydrochemical methods, manure, sewage and NH4 fertilizers were identified to be the main sources of nitrate contamination. This study highlights the effectiveness of the integration of hydrochemical and isotopic data for nitrate source identification, and is significant for fully understanding groundwater hydrochemistry in endorheic basins and scientifically managing and protecting groundwater.
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De Maio, M., A. Fiorucci, and M. Offi. "Risk of groundwater contamination from nitrates in the Po basin (Italy)." Water Supply 7, no. 3 (November 1, 2007): 83–92. http://dx.doi.org/10.2166/ws.2007.070.
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In 1991, the EU promulgated the Nitrates Directive 91/676/EEC, with which it obliged member states to set up monitoring systems, to designate areas vulnerable to nitrate pollution, especially that of agricultural origin, and to activate protection plans, setting the initial target as 1993. After a long delay, Italy assimilated the directive in 1999 with the D.Lgs. 152/99 (legislative decree), which basically transferred responsibility for identifying vulnerable zones to the Regional Authorities. The Po river basin was, and still is, particularly problematical, with its surface aquifers containing generally high levels of NO3− particularly in the lower Piedmontese plain, in the Alessandria area, in the upper Milan valley and in the Emilia-Romagna plain. Taking these pollution levels into consideration, along with continual eutrophication of the Adriatic Sea, the EU enjoined Italy to define the entire Po valley as vulnerable, to avoid being penalised. Such a restrictive designation would, however, have had a highly negative effect on agriculture and to avoid this, the Regions of the Po basin, after long delays, set in motion a series of scientific studies in order to be able to limit the areas defined as vulnerable. This paper, in line with Regional policies, proposes a method that can be applied on a regional scale for identifying areas vulnerable to nitrate pollution. It uses a parametric indicator of Pollution Risk, which is the product of the sintacs r5 and the ipnoa indicators: since the former indicator assesses the vulnerability of an aquifer, that is its susceptibility to absorption and spread of fluid or water-borne pollutant over time, while the latter studies the risk of pollution by nitrates of agricultural origin (that is, the amount of nitrates persisting in the territory), it is clear to us that the product of the two indicates the nitrate that may actually be present in the aquifer waters. The easy availability of input parameters for the model, the reliability of the output data, as compared with the results of monitoring various test sites in the Po valley, and the production of thematic maps, using GIS software, make the method a valid tool for the Regions when identifying zones vulnerable to nitrate pollution. The method is presented here with application to a test site of about 250 km2, situated in the lower Alessandria plain (Eastern Piedmont, Italy).
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Liu, She Jiang, Xiu Li Liu, and Li Ping Jiang. "Adsorption of Inorganic Nitrogen and Effect of Microbe Action in the Saturated Soil." Advanced Materials Research 178 (December 2010): 24–28. http://dx.doi.org/10.4028/www.scientific.net/amr.178.24.
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The contamination of nitrate in groundwater has become an ever-increasing environmental problem. To understand the process of nitrate transformation in soil medium, the experiments of adsorption and denitrification were carried out in this paper. The results indicated that nitrate could not be adsorbed by soil particle, but its intermediary in the denitrification pathway, nitrite occurred obvious adsorption in soil. The influence parameters of nitrite adsorption, such as pH value of solution, initial concentration and temperature, were systematically investigated. In addition, microbe action on nitrate and nitrite was also evaluated in this study. Although attenuation of nitrate and nitrite occurred under natural conditions, external carbon source could accelerate the denitrification process. The efficiency of nitrate attenuation was only about 5% by the end of 30 d experimental period. However, the enhanced degradation of nitrate approached 50% within 14 d, with the appearance of nitrite accumulation.
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Kimbi, Sharon Bih, Shin-Ichi Onodera, Takuya Ishida, Mitsuyo Saito, Masayuki Tamura, Yusuke Tomozawa, and Itaru Nagasaka. "Nitrate Contamination in Groundwater: Evaluating the Effects of Demographic Aging and Depopulation in an Island with Intensive Citrus Cultivation." Water 14, no. 14 (July 21, 2022): 2277. http://dx.doi.org/10.3390/w14142277.
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Despite rapid population aging and depopulation in Japan, groundwater nitrate contamination still poses serious environmental problems. One of the main factors contributing to elevated nitrate levels in Japanese groundwater sources is agricultural intensification, frequently because of increased fertilizer use. We investigated the impact of population aging and depopulation on groundwater nitrate contamination on a western Japanese island that has extensive citrus farming. In comparison to Ocho village, where the average age of farmers is 73 years, Kubi village’s farmers are slightly older on average, at 76 years, and agricultural land has decreased by 46% over the past ten years, from 2005 to 2015. Ocho had 830 residents, which was twice as many as Kubi. In comparison to Ocho (4.8 mg/L), Kubi village had higher average NO3−−N concentrations (6.6 mg/L). NO3−−N contamination sources in Kubi and Ocho were determined using stable nitrogen isotopes and a Bayesian isotope mixing model. These source distributions were more strongly associated with social and land use factors. It was believed that the older farmers in Kubi employed a significant quantity of chemical fertilizers, which caused inefficient nitrogen uptake by plants, leading to increased leaching and more groundwater contamination than in Ocho.
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Šrajbek, Marko, Bojan Đurin, Petra Sušilović, and Suraj Kumar Singh. "Application of the RAPS Method for Determining the Dependence of Nitrate Concentration in Groundwater on the Amount of Precipitation." Earth 4, no. 2 (April 6, 2023): 266–77. http://dx.doi.org/10.3390/earth4020014.
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Protecting groundwater from contamination is today’s most current environmental protection topic. What can man do in his environment to reduce the harmful impact of contamination on the environment, and thus the immediate effect on groundwater? Agricultural production is an ongoing source of groundwater contamination due to the increasingly frequent use of nitrates in fertilizers, which are washed out from the soil into groundwater due to precipitation. This paper investigates three wellfields in the north of the Republic of Croatia near the town of Varaždin. With the application of the RAPS method, the dependence of nitrate concentration in groundwater on the amount of precipitation was established. The analysis results show the connection of the observed parameters, especially in the upper aquifer layer. In this layer, the coefficients of correlation are greater than 0.80 at all locations, which shows a strong positive connection between the parameters. In the lower aquifer, the values of the coefficients of correlation are lower, and the results mostly indicate a weak correlation. The obtained results will serve as a starting point for future studies, which will aim to precisely determine the factors that influence groundwater quality in the observed area.
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Raut, Vivek, and Dilendra Jasutkar. "Contamination of Nitrate In Groundwater of Amravati Region." International Journal of Innovations in Engineering and Science 5, no. 11 (October 6, 2020): 24. http://dx.doi.org/10.46335/ijies.2020.5.11.5.
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Shukla, Saurabh, and Abhishek Saxena. "Sources and Leaching of Nitrate Contamination in Groundwater." Current Science 118, no. 6 (March 25, 2020): 883. http://dx.doi.org/10.18520/cs/v118/i6/883-891.
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Almasri, Mohammad N. "Nitrate contamination of groundwater: A conceptual management framework." Environmental Impact Assessment Review 27, no. 3 (April 2007): 220–42. http://dx.doi.org/10.1016/j.eiar.2006.11.002.
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Almasri, Mohammad N., and Jagath J. Kaluarachchi. "Modeling nitrate contamination of groundwater in agricultural watersheds." Journal of Hydrology 343, no. 3-4 (September 2007): 211–29. http://dx.doi.org/10.1016/j.jhydrol.2007.06.016.
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Exner, Mary E., Aaron J. Hirsh, and Roy F. Spalding. "Nebraska's groundwater legacy: Nitrate contamination beneath irrigated cropland." Water Resources Research 50, no. 5 (May 2014): 4474–89. http://dx.doi.org/10.1002/2013wr015073.
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Vasilache, Nicoleta, Luisa Roxana Mandoc, Elena Diacu, Gabriela Geanina Vasile, Anda Gabriela Tenea, Alexandru Arcire, Gheorghe Batrinescu, Iuliana Paun, and Stefania Gheorghe. "Groundwater chemistry, pollution and health risk assessment for nitrogen compounds. A case study in a suburban region of Romania." Romanian Journal of Ecology & Environmental Chemistry 4, no. 2 (December 28, 2022): 7–22. http://dx.doi.org/10.21698/rjeec.2022.201.
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As groundwater is used as a source of drinking water, monitoring its quality is essential due to possible adverse effects on human health. Nitrogen compounds (nitrates, nitrites, ammonia) within certain concentration limits are natural components of the nitrogen cycle. Due to anthropogenic activities, high concentrations of nitrogen compounds are released into groundwater. The aim of this study was to evaluate the chemistry of groundwater in a suburban area in northeastern Romania, the sources of pollution with nitrogen compounds (nitrates, nitrites, ammonium), and the non-carcinogenic risk to human health associated with consumption in different groups age (women, men, and children) in the investigated region. The results showed that the concentration of nitrogen compounds varies from 5.12 to 98.3 mg/L for nitrates, from 0.008 to 85.2 mg/L for ammonium, and from 0.001 to 1.12 mg/L for nitrites. The maximum admissible concentrations have been exceeding 25%, 40% and respectively 10% of the total analyzed samples Bivariate graphs and Principal Component Analysis (PCA) were used to identify potential sources of nitrate, nitrites, and ammonium pollution of groundwater in the study area. The non-carcinogenic risk assessment for water consumption showed a hazard index (HItotal) for nitrogen compounds in groundwater in the investigated region, which ranged from 0.037 to 2.856 for men, between 0.054 and 3.427 for women, respectively between 0.080 and 6.145, for children. Spatial distribution maps using the Inverse Distance Weighting technique presented the geographical areas with the probability of groundwater contamination with nitrate, nitrite, and ammonium and the areas that pose a risk to human health by consuming groundwater in the study area for the three groups: men, women and children.
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Dahab, M. F., Y. W. Lee, and Istvan Bogardi. "A rule-based fuzzy-set approach to risk analysis of nitrate-contaminated groundwater." Water Science and Technology 30, no. 7 (October 1, 1994): 45–52. http://dx.doi.org/10.2166/wst.1994.0302.
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Groundwater nitrate contamination has been a subject of concern because nitrate salts can induce infant methemoglobinemia and possibly human gastric cancer. In general, nitrates in drinking water may not be the main component of total nitrate intake, but nitrate-contaminated drinking water can make an important contribution to total nitrate intake. In this paper, a nitrate risk-assessment methodology is developed to assist decision makers in estimating human health risks corresponding to a particular nitrate dose to humans and in determining whether regulatory action must be taken to reduce the health risks. The case of a community with a nitrate water quality problem is used to illustrate the nitrate risk assessment methodology. The uncertainty associated with assessing health risks of nitrate and its impact on results are represented by using a fuzzy-set approach and incorporated into the nitrate risk assessment methodology. Therefore, a nitrate risk assessment can be made that is more realistic and appropriate than the one made without taking uncertainty into account.
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He, Ning, Yang, Huang, Cui, Wang, and Sun. "The Characterization of Microbial Communities Response to Shallow Groundwater Contamination in Typical Piedmont Region of Taihang Mountains in the North China Plain." Water 11, no. 4 (April 9, 2019): 736. http://dx.doi.org/10.3390/w11040736.
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Regional-scale nitrate and organic contaminants in the shallow groundwater were investigated in the Piedmont region of Taihang Mountains (PRTM), but the information of the microbial communities is limited. However, microorganisms provide a dominated contribution to indicate and degrade the contaminants in the aquifer. Therefore, this study investigates the microbial diversity and contamination microbial indicators of groundwater samples with different contaminated types to better understand the contamination in the PRTM. Seventy-six samples were collected between two rivers in the Tang-Dasha River Basin covering 4000 km2 in the PRTM. High-throughput sequencing was employed to determine the samples’ DNA sequences. The samples were divided into four groups: background (B), nitrate contamination (N), organic contamination (O) and organic-nitrate contamination (O_N) based on the cumulative probability distribution and the Chinese groundwater standard levels of NO3−, COD and DO concentrations. Then, the microbial diversity and contamination microbial indicators were studied in the four groups. The results showed that the O group exhibited lower diversity than other groups. Bacteria detected in these four groups covered 531 families, 987 genera, and 1881 species. Taxonomic assignment analysis indicated that Rhodobacter, Vogesella, Sphingobium dominated in the O_N group, N group, and O group, and accounted for 18.05%, 17.74%, 16.45% in each group at genus level, respectively. Furthermore, these three genera were identified as contamination microbial indicators to the three types of contamination, respectively. The results provide a potential molecular microbiological method to identity contamination in shallow groundwater, and established a strong foundation for further investigation and remediation in the PRTM.
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Jung, Hyejung, Dong-Chan Koh, Yun Kim, Sung-Wook Jeen, and Jeonghoon Lee. "Stable Isotopes of Water and Nitrate for the Identification of Groundwater Flowpaths: A Review." Water 12, no. 1 (January 1, 2020): 138. http://dx.doi.org/10.3390/w12010138.
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Nitrate contamination in stream water and groundwater is a serious environmental problem that arises in areas of high agricultural activities or high population density. It is therefore important to identify the source and flowpath of nitrate in water bodies. In recent decades, the dual isotope analysis (δ15N and δ18O) of nitrate has been widely applied to track contamination sources by taking advantage of the difference in nitrogen and oxygen isotope ratios for different sources. However, transformation processes of nitrogen compounds can change the isotopic composition of nitrate due to the various redox processes in the environment, which often makes it difficult to identify contaminant sources. To compensate for this, the stable water isotope of the H2O itself can be used to interpret the complex hydrological and hydrochemical processes for the movement of nitrate contaminants. Therefore, the present study aims at understanding the fundamental background of stable water and nitrate isotope analysis, including isotope fractionation, analytical methods such as nitrate concentration from samples, instrumentation, and the typical ranges of δ15N and δ18O from various nitrate sources. In addition, we discuss hydrograph separation using the oxygen and hydrogen isotopes of water in combination with the nitrogen and oxygen isotopes of nitrate to understand the relative contributions of precipitation and groundwater to stream water. This study will assist in understanding the groundwater flowpaths as well as tracking the sources of nitrate contamination using the stable isotope analysis in combination with nitrate and water.
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El Baba, Moustafa, Prabin Kayastha, Marijke Huysmans, and Florimond De Smedt. "Groundwater Vulnerability and Nitrate Contamination Assessment and Mapping Using DRASTIC and Geostatistical Analysis." Water 12, no. 7 (July 16, 2020): 2022. http://dx.doi.org/10.3390/w12072022.
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The Gaza Strip is in a chronic state of water shortage and the coastal aquifer as the only freshwater source is increasingly depleted and polluted, especially by nitrate. Assessment of groundwater vulnerability to pollution is essential for adequate protection and management. In this study, the assessment of the aquifer vulnerability to contamination is derived by applying the DRASTIC procedure, firstly with original default weights and ratings and, secondly, improved by estimating rating values by multiple linear regression of observed log-transformed nitrate concentration in groundwater, with DRASTIC factors extended to land-use. The results are very different because high and low vulnerability areas shift considerably. Subsequently, a geostatistical analysis of the spatial distribution of the nitrate concentration is performed, firstly by ordinary kriging interpolation of the observed nitrate concentration and secondly by regression kriging using DRASTIC factors and land-use as indicators of the spatial variation in nitrate occurrence. These maps differ because the map obtained by regression kriging interpolation shows much more details of environmental factors such as dunes, ridges, soil types and built-up areas that affect the presence of nitrate in groundwater. The results of this study can be used by the Palestinian authorities concerned with sustainable groundwater management in the Gaza Strip.
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Rao, Sudhakar M., and R. Malini. "Use of permeable reactive barrier to mitigate groundwater nitrate contamination from on-site sanitation." Journal of Water, Sanitation and Hygiene for Development 5, no. 2 (April 3, 2015): 336–40. http://dx.doi.org/10.2166/washdev.2015.159.
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Nearly 50% of India's population depends on variants of pit-toilet systems for human waste disposal. Nitrate contamination of groundwater by pit-toilet leachate is a major environmental concern in the country as it sources a major proportion (50–80%) of potable water from aquifers. Therefore, minimizing nitrate contamination of groundwater due to leachate infiltration from pit-toilet systems is essential. Batch and column experiments demonstrated the capability of bentonite-enhanced sand (BES) specimens to reduce nitrate concentrations in synthetic solutions (initial NO3-N concentration = 22.7 mg/L, C/N = 3) by about 85–90% in 10 to 24 hour by a heterotrophic denitrification process. Based on the laboratory results, it is recommended that use of a BES-permeable reactive barrier layer at the base of pit-toilets will facilitate heterotrophic denitrification and mitigate nitrate contamination of the underlying aquifer.
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Lester, Yaal, Asmaa Dabash, and Darine Eghbareya. "UV Sensitization of Nitrate and Sulfite: A Powerful Tool for Groundwater Remediation." Environments 5, no. 11 (October 31, 2018): 117. http://dx.doi.org/10.3390/environments5110117.
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Groundwater contamination by nitrate and organic chemicals (for example, 1,4-dioxane) is a growing worldwide concern. This work presents a new approach for simultaneously treating nitrate and 1,4-dioxane, which is based on the ultra-violet (UV) sensitization of nitrate and sulfite, and the production of reactive species. Specifically, water contaminated with nitrate and 1,4-dioxane is irradiated by a UV source (<250 nm) at relatively high doses, to sensitize in situ nitrate and generate OH•. This leads to the oxidation of 1,4-dioxane (and other organics) and the (undesired) production of nitrite as an intermediate. Subsequently, sulfite is added at an optimized time-point, and its UV sensitization produces hydrated electrons that react and reduces nitrite. Our results confirm the effectivity of the proposed treatment: UV irradiation of nitrate (at >5 mg N/L) efficiently degraded 1,4-dioxane, while producing nitrite at levels higher than its maximum contaminant level (MCL) of 1 mg N/L in drinking water. Adding sulfite to the process after 10 min of irradiation reduces the concentration of nitrite without affecting the degradation rate of 1,4-dioxane. The treated water contained elevated levels of sulfate; albeit at much lower concentration than its MCL. Treating water contaminated with nitrate and organic chemicals (often detected concomitantly) typically requires several expensive treatment processes. The proposed approach presents a cost-effective alternative, employing a single system for the treatment of nitrate and organic contaminants.
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Jendia, Ahmed H., Sofiah Hamzah, A. A. Abuhabib, and Nizam M. El-Ashgar. "Removal of nitrate from groundwater by eggshell biowaste." Water Supply 20, no. 7 (July 13, 2020): 2514–29. http://dx.doi.org/10.2166/ws.2020.151.
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Abstract This study concerns nitrate ion removal, which is one of the most dangerous issues of water contamination in the Gaza Strip. Eggshell biowaste was used as a denitrification biosorbent for water and groundwater. The results showed that the highest removal of nitrate was at pH 6.0–7.5, eggshell particle size in the range 90–710 μm, drying temperature at 45 °C, incubation temperature of adsorbent/adsorbate mixture at 37 °C and contact time of 24 hours. At the optimum conditions, the maximum amount of nitrate removed was 8.25 mg/g eggshell, when 1,500 mg/L of NO3− was applied. It was found that the eggshell biosorbent could be recovered and reused for removing the nitrate with removal capacity of 0.79–0.92 mg/g eggshell (79–92%) in the case of washed samples while the removal capacity was 0.79–0.92 mg/g eggshell (89–93%) in the case of unwashed samples when 100 mg/L of NO3− was applied. Results using the eggshell column method showed a nitrate removal efficiency of 90% at a flow rate ≤2 mL/min of the eluents. The biosorbent was applied to remove nitrates in real groundwater samples from different locations in the Gaza Strip and the efficiency of nitrate removal was in the range (77.4–93%).
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Wei, Aihua, Pan Bi, Jie Guo, Shuai Lu, and Duo Li. "Modified DRASTIC model for groundwater vulnerability to nitrate contamination in the Dagujia river basin, China." Water Supply 21, no. 4 (January 20, 2021): 1793–805. http://dx.doi.org/10.2166/ws.2021.018.
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Abstract Due to rapid economic growth and over-exploitation of groundwater, nitrate pollution in groundwater has become very serious. The main objective of this study is to modify the DRASTIC model to identify groundwater vulnerability to nitrate pollution. The DRASTIC model was firstly used to analyze the intrinsic vulnerability. The DRASTIC model with the inclusion of a land-use factor (DRASTIC-LU) was put forward to map the specific vulnerability of groundwater. Furthermore, the support vector machine (SVM) was introduced to avoid the drawback of the overlay and index methods, and the improved integrated models of DRASTIC + SVM and DRASTIC-LU + SVM were built. Moreover, 103 groundwater samples were collected for building and validating the models. The Root Mean Squared Error (RMSE) of DRASTIC, DRASTIC-LU, DRASTIC + SVM, and DRASTIC-LU + SVM was found to be 0.853, 0.755, 0.631, and 0.502, respectively. The model DRASTIC-LU was more precise than the original one. The results also showed that the integrated model using SVM exhibited better correlation between the vulnerability value and the nitrate pollution. The study indicated that the modified models including the land-use factor as well as SVM in the DRASTIC model were more suitable to assess the groundwater vulnerability to nitrate.
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Chen, Shih-Kai, Yuan-Yu Lee, and Tzu-Ling Liao. "Assessment of Ammonium–N and Nitrate–N Contamination of Shallow Groundwater in a Complex Agricultural Region, Central Western Taiwan." Water 14, no. 13 (July 4, 2022): 2130. http://dx.doi.org/10.3390/w14132130.
Full textAbstract:
The characteristics of nitrogen contamination of shallow groundwater were evaluated through current status analysis and trend detection of ammonium–N and nitrate–N concentrations under various cropping patterns to assess the effectiveness of rational fertilization in the Choushui River alluvial fan, central Western Taiwan. The influence of cropping patterns on both ammonium–N and nitrate–N contamination associated with redox conditions/dissolved oxygen (DO) in shallow groundwater was also discussed in this study. The analysis revealed that shallow groundwater beneath double rice cropping and rotational cropping regions is still characterized by high ammonium–N concentration despite rational fertilization promotion. However, very few monitoring wells showed an upward trend of ammonium–N/nitrate–N concentrations, indicating that shallow groundwater is not further deteriorated by nitrogen pollution in most parts of the study area. Therefore, the remediation of nitrogen contaminated groundwater will be a long-term process and more effort must be invested. Moreover, the strict redox conditions defined by a single DO threshold value may not account for groundwater nitrogen pollution in the study area. It is difficult to determine the redox conditions and predominant nitrogen pollution patterns of shallow groundwater purely from cropping patterns. Instead, contamination may have resulted from an integrated process governed by several other factors. Tracing the potential sources of nitrogen pollution and establishing a more integral monitoring network should be implemented to formulate a more comprehensive nitrogen pollution control strategy in this area.
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Sahoo, Prafulla Kumar, Kangjoo Kim, and M. A. Powell. "Managing Groundwater Nitrate Contamination from Livestock Farms: Implication for Nitrate Management Guidelines." Current Pollution Reports 2, no. 3 (April 26, 2016): 178–87. http://dx.doi.org/10.1007/s40726-016-0033-5.
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Janža, Mitja, Joerg Prestor, Simona Pestotnik, and Brigita Jamnik. "Nitrogen Mass Balance and Pressure Impact Model Applied to an Urban Aquifer." Water 12, no. 4 (April 19, 2020): 1171. http://dx.doi.org/10.3390/w12041171.
Full textAbstract:
The assurance of drinking water supply is one of the biggest emerging global challenges, especially in urban areas. In this respect, groundwater and its management in the urban environment are gaining importance. This paper presents the modeling of nitrogen load from the leaky sewer system and from agriculture and the impact of this pressure on the groundwater quality (nitrate concentration) in the urban aquifer located beneath the City of Ljubljana. The estimated total nitrogen load in the model area of 58 km2 is 334 ton/year, 38% arising from the leaky sewer system and 62% from agriculture. This load was used as input into the groundwater solute transport model to simulate the distribution of nitrate concentration in the aquifer. The modeled nitrate concentrations at the observation locations were found to be on average slightly lower (2.7 mg/L) than observed, and in general reflected the observed contamination pattern. The ability of the presented model to relate and quantify the impact of pressures from different contamination sources on groundwater quality can be beneficially used for the planning and optimization of groundwater management measures for the improvement of groundwater quality.