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dc.contributor.authorŞen, Zekai
dc.date.accessioned2020-12-31T11:26:16Z
dc.date.available2020-12-31T11:26:16Z
dc.date.issued2020en_US
dc.identifier.citationŞen, Z. (2020). Hydrochemistry. Earth Systems Data Processing and Visualization Using MATLAB içinde (115-141. ss.). Springer International Publishing AG. https://dx.doi.org/10.1007/978-3-030-01542-8_5en_US
dc.identifier.isbn9783030015428
dc.identifier.isbn9783030015411
dc.identifier.issn2522-8714
dc.identifier.issn2522-8722
dc.identifier.urihttps://dx.doi.org/10.1007/978-3-030-01542-8_5
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6181
dc.description.abstractIn the previous chapter, there were methodologies and related software about the quantity of groundwater resources. In practical applications, water quality is another very significant dimension for the planning and joint water resources management. For this purpose, major anion and cation analyses provide basic quality classification information in addition to few composite variable measurements such as the electric conductivity (EC), total dissolved solids (TDS), and sodium adsorption ratio (SAR). Any chemical analysis and related data processing affairs fall within the water quality domain, which is also referred to generally as hydrochemistry.en_US
dc.language.isoengen_US
dc.publisherSpringer International Publishing AGen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHydrochemistryen_US
dc.subjectEnvironmental Sciencesen_US
dc.subjectEcologyen_US
dc.titleHydrochemistryen_US
dc.typebookParten_US
dc.relation.journalEarth Systems Data Processing and Visualization Using MATLABen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.authorid0000-0003-2754-5492en_US
dc.identifier.startpage115en_US
dc.identifier.endpage141en_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.identifier.doi10.1007/978-3-030-01542-8_5en_US


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