Geospatial Assessment of Groundwater Quality with the Distinctive Portrayal of Heavy Metals in the United Arab Emirates

Salem, Imen Ben; Nazzal, Yousef; Howari, Fares M.; Sharma, Manish; Mogaraju, Jagadish Kumar; Xavier, Cijo M.

doi:10.3390/w14060879

Cited by 10 publications

(8 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The concentration values are weighted based on distance; therefore, the nearest point with a known concentration value has a higher weight value [12]. The formula for this method is using equation (1). The IDW method in GIS has several power settings, power is the function that determines the interpolation result.…”

Section: Study Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A GIS-based analysis of groundwater manganese and nitrate concentration for sustainable water supply

Ibrahim

Wijayanti

Siek

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Groundwater is the main source of water supply in Sleman Regency. Although the water quantity is not an issue, the quality of groundwater should be understood to ensure the sustainability of the water supply. A previous study shows an increase in manganese (Mn) and nitrate (NO3) concentration in groundwater, yet the concentration distribution is unknown. Therefore, this study aims to develop a map of the spatial distribution pattern and to analyze the potential source of manganese and nitrate in groundwater in Sleman Regency in Yogyakarta Province. The method used is mapping groundwater quality using the ArcGIS application, analyzing groundwater pollution with water quality standards in the Indonesian Ministry of Health regulation number 492/Menkes/per/IV/2010 regarding drinking water quality requirements, and identifying the potential source of high pollution. Data processing uses the ArcGIS 10.8 application by performing the IDW (Inverse Distance Weighting) Interpolation technique. The result of this study has obtained a map of the distribution of groundwater quality for manganese and nitrate from 2017-2019. Manganese contamination may come from industrial and/or agricultural waste, while higher nitrate concentration might be a result of a septic tank leak and/or pesticide/fertilizer residue in paddy fields.

show abstract

Section: Study Methodsmentioning

confidence: 99%

“…Groundwater is the biggest potential of the freshwater so2.urces of water supply. Therefore, groundwater resources must be managed and protected [1]. The sustainability of the water supply is affected by the increase in demand [2].…”

Section: Introductionmentioning

confidence: 99%

A GIS-based analysis of groundwater manganese and nitrate concentration for sustainable water supply

Ibrahim

Wijayanti

Siek

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Embora existam registros da aplicação satisfatória do modelo Pentaesférico para análise de precipitação (Júnior et al, 2020; Pirani e Modarres, 2020), este não é indicado para tal finalidade (Wong e Kwon, 2021). Tal modelo apresenta mais bem resultados para mapeamento de propriedades do solo (Neto et al, 2020a;Selmy et al, 2020;Yusuf et al, 2020;Behera et al, 2021;Selmy et al, 2022;Shashikumar et al, 2022), e qualidade de águas subterrâneas (Khorrami, 2019;Said e Yurtal, 2019;Salem et al, 2022).…”

Section: Modelounclassified

“…Esta baixa performance do modelo se dá por este ser mais aplicável em outras variáveis ambientais, destacando, assim como no modelo Pentaesférico, seu maior ajuste à análise de solos (Neto et al, 2020a;Selmy et al, 2020;Yusuf et al, 2020;Selmy et al, 2022;Shashikumar et al, 2022) e de qualidade de águas subterrâneas (Khorrami, 2019;Said e Yurtal, 2019;Salem et al, 2022).…”

Section: Modelounclassified

Comparação de modelos geoestatísticos para estimativa de precipitação em Minas Gerais, Brasil, entre os anos hidrológicos de 2000 e 2021

Guimarães

Alves²

2023

Rev. Bras. Geog. Fis.

View full text Add to dashboard Cite

A gestão integrada dos recursos hídricos no Brasil e no mundo tem passado por desafios provenientes de processos naturais e antrópicos. Assim, o conhecimento preciso das condições quantitativas e qualitativas dos recursos hídricos é de fundamental importância, sendo o monitoramento pluviométrico por estações pluviométricas distribuídas no estado um componente central deste, no que diz respeito ao entendimento da dinâmica espacial e temporal da precipitação. Em Minas Gerais, tais estações estão concentradas em determinadas áreas, dificultando o processo de tomada de decisão pelos agentes gestores. As técnicas de geoestatística têm se mostrado acuradas para estimativa de precipitação em espaços sem estações pluviométricas, sendo que tal trabalho visou aplicá-las no estado, nos anos hidrológicos de outubro de 2000 a setembro de 2021. Verificou-se o potencial dos modelos Circular, Gaussiano, Esférico, Tetraesférico, Pentaesférico e Exponencial, e o Grau de Dependência Espacial entre as variáveis, utilizando-se do tratamento de dados por linguagem de programação Python e R e por técnicas de geoprocessamento. Os resultados apontaram para maior aplicabilidade do modelo Gaussiano em toda série histórica, sendo sucedido pelo modelo Exponencial em períodos chuvosos, e pelo modelo Circular na estação seca. Os modelos Pentaesférico, Esférico e Tetraesférico foram os menos aplicados. Viu-se também uma relação irregular entre o desempenho dos modelos e o Grau de Dependência Espacial das variáveis.Palavras-chave: krigagem, dependência espacial, estações pluviométricas, gestão integrada dos recursos hídricos. Comparison of geostatistical models for rainfall forecast in Minas Gerais, Brazil, between 2000 and 2021 hydrological years A B S T R A C TThe integrated water resources management in Brazil and worldwide had been through challenges from anthropic activities and natural processes. In that regard, the precise knowledge of water resources quality and quantity conditions has major importance, with the rainfall monitoring network by rainfall stations as a core component for understanding the precipitation spatial and temporal dynamics. These stations are concentrated in a few sites within Minas Gerais, which makes the decision-making process difficult for the manager agents. Geostatistical analysis has been shown as an accurate method for rainfall forecast in spaces with lack of rainfall stations, and this work aimed to apply it in Minas Gerais, between October 2000 and September 2021 hydrological years. It was checked Circular, Gaussian, Spherical, Tetraspherical, Pentaspherical, and Exponential models potential, and the degree of spatial dependence, using data treatment by Python and R programming language and geoprocessing tools. The results showed that Gaussian model has greater applicability in the time series, being succeed by Exponential model in wet season, and Circular model in dry season. Pentaspherical, Spherical, and Tetraspherical models were the least applied. It was found an irregular relationship between models’ performance and the degree of spatial dependence.Keywords: kriging, degree of spatial dependence, rainfall stations, integrated water resources management.

show abstract

“…Together with population growth, groundwater demand is rapidly increasing and climate change is further taxing water resources. Notwithstanding the importance of drinking water to the local population's health in underdeveloped countries and the fact that groundwater is frequently the main source of drinking water, it is important to consider the water's chemical purity (Alsuhaimi et al, 2019;Ahmed et al, 2020;Metta et al, 2020;Nwankwo et al, 2020;Panneerselvam et al, 2020;Singh et al, 2020;Salem et al, 2022). The groundwater monitoring network provides data on potential measures and when to adjust the settings for our water management system.…”

Section: Introductionmentioning

confidence: 99%

Integrated approach for the investigation of groundwater quality using hydrochemical and geostatistical analyses in Wadi Fatimah, western Saudi Arabia

Alshehri

Abdelrahman

2023

Front. Earth Sci.

View full text Add to dashboard Cite

The Wadi Fatimah area suffers from a lack of freshwater resources, so this study aimed to analyze the groundwater in this region and evaluate its quality for irrigation and drinking purposes. Eleven water quality parameters, including pH, total dissolved solids (TDS), Ca2+, HCO−3, NO−3, F−, Cl−, K+, Mg2+, SO2−4, and Na+, were utilized to evaluate the quality of the water and produce a water quality index (WQI). These parameters were measured at 100 different chosen locations. The spatial distribution map revealed that all parameters are high in the southern part except K+. Using the correlation matrix, a high positive correlation is obtained among TDS, Cl−, Mg2+, and Ca2+ in addition to a high correlation among TDS with Cl− and Na+. From PCA analysis, PCA1, PCA2, and PCA3 represent about 52%, 12%, and 10% of all components along the study area, respectively. PCA1 has low variance than PCA2 and PCA3. The majority of the Southern region’s sites went from having extremely poor to poor water classifications and from poor to unsuitable water. However, the center part possesses exceptionally high-quality groundwater. According to the results from the current study’s water quality index, the presence of nitrate and fluoride in the groundwater samples was primarily responsible for their high WQI values. The statistics showed that a higher percentage of the population had poor drinking water due to direct pollutant release, agricultural effects, and excessive groundwater resource use. The study offers a groundwater quality modeling technique that is both affordable and replicable in other areas.

show abstract

Geospatial Assessment of Groundwater Quality with the Distinctive Portrayal of Heavy Metals in the United Arab Emirates

Cited by 10 publications

References 59 publications

A GIS-based analysis of groundwater manganese and nitrate concentration for sustainable water supply

A GIS-based analysis of groundwater manganese and nitrate concentration for sustainable water supply

Comparação de modelos geoestatísticos para estimativa de precipitação em Minas Gerais, Brasil, entre os anos hidrológicos de 2000 e 2021

Integrated approach for the investigation of groundwater quality using hydrochemical and geostatistical analyses in Wadi Fatimah, western Saudi Arabia

Contact Info

Product

Resources

About