ArticleEnvironmental science and pollution research international2017
Spatial interpolation methods and geostatistics for mapping groundwater contamination in a coastal area.
Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Monitoring soil salinization and waterlogging in the northeastern Nile Delta linked to shallow saline groundwater and irrigation water quality.Scientific reports · 2024Article
- Article
- Accuracy assessment of inverse distance weighting interpolation of groundwater nitrate concentrations in Bavaria (Germany).Environmental science and pollution research international · 2023Article
- Accelerated vegetation succession but no hydrological change in a boreal fen during 20 years of recent climate change.Ecology and evolution · 2021Article
- Impact of lockdown due to COVID-19 pandemic on groundwater salinity in Punjab, India: some hydrogeoethics issues.Sustainable water resources management · 2021Article
- Seasonal changes in groundwater quality deterioration and chemometric analysis of pollution source identification in South India.Environmental science and pollution research international · 2020Article
- Processes and characteristics of hydrogeochemical variations between unconfined and confined aquifer systems: a case study of the Nakdong River Basin in Busan City, Korea.Environmental science and pollution research international · 2020Article
- Influence of variations in rainfall pattern on the hydrogeochemistry of coastal groundwater-an outcome of periodic observation.Environmental science and pollution research international · 2019Article
- Seawater intrusion vulnerability in the coastal aquifers of southern India-an appraisal of the GALDIT model, parameters' sensitivity, and hydrochemical indicators.Environmental science and pollution research international · 2019Article
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Authors and funding
4 authors.
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Abstract
Mapping groundwater contaminants and identifying the sources are the initial steps in pollution control and mitigation. Due to the availability of different mapping methods and the large number of emerging pollutants, these methods need to be used together in decision making. The present study aims to map the contaminated areas in Richards Bay, South Africa and compare the results of ordinary kriging (OK) and inverse distance weighted (IDW) interpolation techniques. Statistical methods were also used for identifying contamination sources. Na-Cl groundwater type was dominant followed by Ca-Mg-Cl. Data analysis indicate that silicate weathering, ion exchange and fresh water-seawater mixing are the major geochemical processes controlling the presence of major ions in groundwater. Factor analysis also helped to confirm the results. Overlay analysis by OK and IDW gave different results. Areas where groundwater was unsuitable as a drinking source were 419 and 116 km
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