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Risk identification of salts and heavy metals in water by multivariate statistical techniques and GIS based interpolation: A case study of Saeedabad, Sindh, Pakistan
Research article (Regional Studies in Marine Science, 2024) · cited 10× · AI/ML
Risk identification of salts and heavy metals in water by multivariate statistical techniques and GIS based interpolation: A case study of Saeedabad, Sindh, Pakistan
Summary
Risk identification of salts and heavy metals in water by multivariate statistical techniques and GIS based interpolation: A case study of Saeedabad, Sindh, Pakistan is a scholarly article[1].
Key Facts
Risk identification of salts and heavy metals in water by multivariate statistical techniques and GIS based interpolation: A case study of Saeedabad, Sindh, Pakistan's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Risk identification of salts and heavy metals in water by multivariate statistical techniques and GIS based interpolation: A case study of Saeedabad, Sindh, Pakistan. Retrieved May 24, 2026, from https://4ort.xyz/entity/risk-identification-of-salts-and-heavy-metals-in-water-by-multivariate-statistical-techniques-and-gis-based-interpolatio
MLA“Risk identification of salts and heavy metals in water by multivariate statistical techniques and GIS based interpolation: A case study of Saeedabad, Sindh, Pakistan.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/risk-identification-of-salts-and-heavy-metals-in-water-by-multivariate-statistical-techniques-and-gis-based-interpolatio.
BibTeX@misc{4ortxyz_risk-identification-of-salts-and-heavy-metals-in-water-by-multivariate-statistical-techniques-and-gis-based-interpolatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Risk identification of salts and heavy metals in water by multivariate statistical techniques and GIS based interpolation: A case study of Saeedabad, Sindh, Pakistan}}, year = {2026}, url = {https://4ort.xyz/entity/risk-identification-of-salts-and-heavy-metals-in-water-by-multivariate-statistical-techniques-and-gis-based-interpolatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Risk identification of salts and heavy metals in water by multivariate statistical techniques and GIS based interpolation: A case study of Saeedabad, Sindh, Pakistan — https://4ort.xyz/entity/risk-identification-of-salts-and-heavy-metals-in-water-by-multivariate-statistical-techniques-and-gis-based-interpolatio (retrieved 2026-05-24)
