Assessment of the impact of natural and anthropogenic activities on the groundwater chemistry in Baotou City (North China) using geochemical equilibrium and multivariate statistical techniques

Su, He; Geng, Dongjiang; Zhang, Zhi Yong; Wang, Jiading

doi:10.1007/s11356-020-09117-0

Cited by 14 publications

(3 citation statements)

References 42 publications

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“…increases SAR values due to precipitation of Ca 2+ et al 2020). Both Na + and Clare major ions for groundwater in arid and semi-arid regions (Su et al 2020;Marghade et al 2021). They are derived from agricultural activities and natural sources, i.e., weathering of feldspar minerals (Na + ) and dissolution of halite (Cl -) (Su et al 2020).…”

Section: Characteristics Of Soils and Groundwatermentioning

confidence: 99%

“…Both Na + and Clare major ions for groundwater in arid and semi-arid regions (Su et al 2020;Marghade et al 2021). They are derived from agricultural activities and natural sources, i.e., weathering of feldspar minerals (Na + ) and dissolution of halite (Cl -) (Su et al 2020). Moreover, the dissolution of evaporite minerals (gypsum and anhydrite) might contribute to Ca 2+ and SO 4 2- (Masoud 2014).…”

Section: Characteristics Of Soils and Groundwatermentioning

confidence: 99%

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Modeling crop suitability under micro irrigation using a hybrid AHP-GIS approach

Abuzaid

El-Husseiny

2022

Arab J Geosci

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Crop suitability analysis using novel models is a pillar for sustainable land-use planning. In this work, the analytical hierarchy process (AHP) was integrated with GIS to produce suitability maps for wheat and maize under sprinkler irrigation and broad bean under drip irrigation. The study was conducted in an arid area, west Nile Delta of Egypt. The characteristics of local climate, landscape, and groundwater quality were matched with crop requirements and assigned scores. A GIS-based model was implemented to integrate scores and AHP weights and generate crop suitability maps. The climate conditions fitted optimum crop requirements; however, slight slope limitations affected wheat and maize. The electrical conductivity (EC), exchangeable sodium percentage, and CaCO3 were the most important soil factors affecting broad bean, and these factors besides coarse fragments affected wheat and maize. The EC, Na+, and Cl– were the most influential factors for wheat and maize irrigation, while EC and sodium adsorption ratio had the greatest priority for broad bean irrigation. Irrigation water quality had the highest specific weight (0.38) followed by soil (0.36), slope (0.15), and climate (0.10). The final suitability maps showed that 97 and 3% of the total area were suitable (S2) and moderately suitable (S3) for wheat, respectively. Moreover, 85 and 15% of the total area fitted the S2 and S3 classes for broad bean. For maize, 36 and 64% of the total area fitted the S2 and S3 classes. Integrating AHP and GIS would provide effective land-use planning and also suggest proper management practices in arid areas.

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Section: Characteristics Of Soils and Groundwatermentioning

confidence: 99%

Section: Characteristics Of Soils and Groundwatermentioning

confidence: 99%

Modeling crop suitability under micro irrigation using a hybrid AHP-GIS approach

Abuzaid

El-Husseiny

2022

Arab J Geosci

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“…In this domain, the correlation coefficient, principal component analysis (PCA), and hierarchical cluster analysis (HCA) are the most efficient methods to evaluate and gives a clear idea about the chemical composition of groundwater. Su et al, (2020) evaluated the impact of natural and anthropogenic activities of the groundwater using multivariate statistical techniques in Baotou city, china and found that, three cluster values reveal rock water interaction, sewage intrusion and evaporation are the factors that affect the nature of groundwater. Singh et al, (2020) conducted a study on multivariate analysis of groundwater in the agricultural dominates taluks in Punjab, India, and found that PCA analysis suggested that the chemical composition of groundwater gets disturbed by the process of rock water interactions and high impacts of anthropogenic activities.…”

Section: Introductionmentioning

confidence: 99%

Appraisal of groundwater quality for drinking and irrigation purpose using GIS and statistical approach with special reference to nitrate contamination in a semi-arid region: A case study

Balamurugan¹,

MUNIRAJ²,

KARUPPANNAN

et al. 2020

Preprint

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Groundwater contamination has become an environmental issue all around the world. The specific objective of the present study is to evaluate the risk assessment of groundwater for nitrate contamination and in addition to assess the suitability of groundwater for domestic and irrigation purposes in the semi-arid region. Thirty sample locations were identified based on the more active industrial and high-densified residential regions in the study area. To evaluate the drinking and irrigation fitness of groundwater by analysed water quality parameters such as pH, Electrical conductivity, total dissolved solids, Total hardness, calcium, magnesium, sodium, potassium, chloride, sulphate, fluoride, carbonate and bicarbonate. According to World Health Organization (WHO) 2011 and Bureau of Indian Standard (BIS) 2012 standards, the GIS Spatial analysis of groundwater parameters was carried out to identify each parameter high contaminated regions in the study area. Multivariate statistical analysis, such as principal component analysis, cluster analysis, and Pearson correlation matrix, was used to understand the relationship between water quality parameters. The Results show that 40% of samples are highly affected due to the high concentration of nitrate. The total non-carcinogenic health risks for male, women, and children are 40%, 50%, and 53.33%, respectively. It reveals that, children and women are at high risk than male in the study region. The major sources of contamination are discharges from the household, uncovered septic tanks, leachate from the waste dump, and excess utilization of fertilizers in the agriculture field.

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An integrated approach to explore the suitability of nitrate-contaminated groundwater for drinking purposes in a semiarid region of India

Panneerselvam

Kirubakaran²,

Karunanidhi³

et al. 2022

Environ Geochem Health

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The main objective of the present study is to perform risk assessment of groundwater contaminated by nitrate (NO3−) and evaluate the suitability of groundwater for domestic purposes in the Palani region of South India. Thirty groundwater samples were collected in the study area. Various groundwater quality analysis parameters such as the pH, electrical conductivity, total dissolved solids, total hardness, major cations (Ca2+, Mg2+, Na+, and K+), and major anions (Cl−, SO42−, F−, CO32−, and HCO3−) were adopted in this study to evaluate the drinking water suitability according to 2011 World Health Organization (WHO) standards. Piper and Gibbs’s diagrams for the tested groundwater indicated that, due to the influence of rock–water interactions, evaporation, and reverse ion exchange, the chemical composition of groundwater varied. According to water quality index (WQI) mapping results, 46.67% of the sample locations was identified as contaminated zones via GIS spatial analysis. Multivariate statistical analysis methods, such as principal component analysis, cluster analysis, and the Pearson correlation matrix, were applied to better understand the relationship between water quality parameters. The results demonstrated that 40% of the samples could be identified as highly affected zones in the study region due to a high nitrate concentration. The noncarcinogenic health risks among men, women, and children reached 40, 50, and 53%, respectively. The results illustrated that children and women occurred at a higher risk than did men in the study region. The major sources of contamination included discharge from households, uncovered septic tanks, leachate from waste dump sites, and excess utilization of fertilizers in the agricultural sector. Furthermore, using the nitrate health hazard integrated method with the conventional indexing approach ensures that groundwater reliability can be guaranteed, contamination can be explored, and appropriate remedial measures can be implemented.

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Assessment of the impact of natural and anthropogenic activities on the groundwater chemistry in Baotou City (North China) using geochemical equilibrium and multivariate statistical techniques

Cited by 14 publications

References 42 publications

Modeling crop suitability under micro irrigation using a hybrid AHP-GIS approach

Modeling crop suitability under micro irrigation using a hybrid AHP-GIS approach

Appraisal of groundwater quality for drinking and irrigation purpose using GIS and statistical approach with special reference to nitrate contamination in a semi-arid region: A case study

An integrated approach to explore the suitability of nitrate-contaminated groundwater for drinking purposes in a semiarid region of India

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