Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/111902
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hernández-Suárez, M. | en_US |
dc.contributor.author | León Zerpa, Federico | en_US |
dc.date.accessioned | 2021-09-24T07:23:47Z | - |
dc.date.available | 2021-09-24T07:23:47Z | - |
dc.date.issued | 2021 | en_US |
dc.identifier.issn | 1944-3994 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | http://hdl.handle.net/10553/111902 | - |
dc.description.abstract | This article shows the results obtained about the possibility of the indirect calculation of SDI and sodium adsorption ratio (SAR) based on electrical conductivity at 25°C (EC25 ) and pH data prior to and following remineralisation, using the quotient between EC25 and alkalinity (Alk). The importance of this work is to propose a new calculation method which is required to estimate with certain precision the increase in alkalinity and hardness that has been achieved with remineralisation. It is justified to investigate the relationship between the alkalinity values and the remineralised water. The novelty of this work is to have been done based on real data taken from different desalination plants as well as theoretical calculations based on the contribution of each ion to the conductivity of the water. For instance, Alk(0) ranges are from 0.5 to 2.8 mg CaCO3 /L for values of EC25 (0) of between 250 µS/cm and 700 uS/cm respectively. The values of pH(r) and T(r) will be those acquired “in situ” with the measuring equipment placed in line. Once all the parameters have been obtained, the Langelier saturation index LSI(r) calculation method should be SM-2330. This pro-cedure allows LSI(r) to be estimated with an accuracy in between of +0.05 and –0.05. According to the study performed and to achieve the optimum levels indicated in Table 1, the increase in alkalinity should be at least 55 mg CaCO3 /L. This implies that the increase in electrical conductivity should be within the range 85–97. The mean value of SAR or sodium absorption rate of desalinated water is around 9. This point to water that can cause damage not only to the soil but also to some crops due to an excess of sodium over calcium and magnesium. This aspect should therefore be corrected. Either with a remineralization or by adding calcium and magnesium directly with fer-tilizers. The sampling conditions should be optimized to prevent loss of CO2 and obtain values of pH and temperature as close to operating conditions before and after remineralization system. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Desalination and Water Treatment | en_US |
dc.source | Desalination and Water Treatment [ISSN 1944-3994], v. 230, p. 33-37, (Agosto 2021) | en_US |
dc.subject | 3308 Ingeniería y tecnología del medio ambiente | en_US |
dc.subject.other | Desalination | en_US |
dc.subject.other | Electrical Conductivity | en_US |
dc.subject.other | Langelier Saturation Index | en_US |
dc.subject.other | Remineralisation | en_US |
dc.subject.other | Reverse Osmosis | en_US |
dc.subject.other | Sodium Adsorption Ratio | en_US |
dc.title | Indirect calculation of langelier saturation index and sodium adsorption ratio for remineralised waters from data on electrical conductivity and ph prior to and following remineralisation | en_US |
dc.type | info:eu-repo/semantics/Article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.5004/dwt.2021.27464 | en_US |
dc.identifier.scopus | 85114171729 | - |
dc.contributor.orcid | NO DATA | - |
dc.contributor.orcid | NO DATA | - |
dc.contributor.authorscopusid | 57217315334 | - |
dc.contributor.authorscopusid | 57194451414 | - |
dc.identifier.eissn | 1944-3986 | - |
dc.description.lastpage | 37 | en_US |
dc.description.firstpage | 33 | en_US |
dc.relation.volume | 230 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Artículo | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Agosto 2021 | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-ING | en_US |
dc.description.sjr | 0,24 | |
dc.description.jcr | 1,273 | |
dc.description.sjrq | Q3 | |
dc.description.jcrq | Q4 | |
dc.description.scie | SCIE | |
dc.description.miaricds | 10,6 | |
item.fulltext | Sin texto completo | - |
item.grantfulltext | none | - |
crisitem.author.dept | GIR IUNAT: Control analítico de fuentes medioambientales | - |
crisitem.author.dept | IU de Estudios Ambientales y Recursos Naturales | - |
crisitem.author.dept | Departamento de Ingeniería de Procesos | - |
crisitem.author.orcid | 0000-0003-2284-8400 | - |
crisitem.author.parentorg | IU de Estudios Ambientales y Recursos Naturales | - |
crisitem.author.fullName | León Zerpa, Federico Antonio | - |
Appears in Collections: | Artículos |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.