An Innovative Index for Evaluating the Temporal-Physicochemical Classification Pattern (Case study: Garmabdasht, North of Iran)

Article ID

89E8S

An Innovative Index for Evaluating the Temporal-Physicochemical Classification Pattern (Case study: Garmabdasht, North of Iran)

Milad Kurdi
Milad Kurdi
Taymour Eslamkish
Taymour Eslamkish
Faramarz Doulati Ardejani
Faramarz Doulati Ardejani
DOI

Abstract

This study has been focused on investigating a new index for the assessment of major ion enrichment. Also, this study has examined the temporal-physicochemical classification Model of parameters and the temporal- IEI (Ion Enrichment Index) Model from 1986-2010. The results have been presented in this study based on physicochemical water quality parameters determined in the Garmabdasht River in Golestan province. For the evaluation and classification of the Model, WHO recommendation has been used. Temporalphysicochemical Model results have been examined, and most of the samples were less than authorized in the Model of pH, Cl, K, Mg, Na, and SO4 but in the Ca and HCO3 Model, approximately more than 70 percent of the samples were suitable. In addition, the TDS Model shows that in most cases, high TDS from tap water was dominated. Results of the temporal-IEI Model, because of the vulnerable samples, showed better classification than the temporalphysicochemical Model. Results of the temporal Model based on IEItotal that has been examined in order to give a comprehensive Model, showed that all of the samples were relatively satisfactory and less than the extent permitted, but approximately half of the samples are vulnerable.

An Innovative Index for Evaluating the Temporal-Physicochemical Classification Pattern (Case study: Garmabdasht, North of Iran)

This study has been focused on investigating a new index for the assessment of major ion enrichment. Also, this study has examined the temporal-physicochemical classification Model of parameters and the temporal- IEI (Ion Enrichment Index) Model from 1986-2010. The results have been presented in this study based on physicochemical water quality parameters determined in the Garmabdasht River in Golestan province. For the evaluation and classification of the Model, WHO recommendation has been used. Temporalphysicochemical Model results have been examined, and most of the samples were less than authorized in the Model of pH, Cl, K, Mg, Na, and SO4 but in the Ca and HCO3 Model, approximately more than 70 percent of the samples were suitable. In addition, the TDS Model shows that in most cases, high TDS from tap water was dominated. Results of the temporal-IEI Model, because of the vulnerable samples, showed better classification than the temporalphysicochemical Model. Results of the temporal Model based on IEItotal that has been examined in order to give a comprehensive Model, showed that all of the samples were relatively satisfactory and less than the extent permitted, but approximately half of the samples are vulnerable.

Milad Kurdi
Milad Kurdi
Taymour Eslamkish
Taymour Eslamkish
Faramarz Doulati Ardejani
Faramarz Doulati Ardejani

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Milad Kurdi. 2018. “. Global Journal of Research in Engineering – J: General Engineering GJRE-J Volume 18 (GJRE Volume 18 Issue J3): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-J Classification: FOR Code: 291899p
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An Innovative Index for Evaluating the Temporal-Physicochemical Classification Pattern (Case study: Garmabdasht, North of Iran)

Milad Kurdi
Milad Kurdi
Taymour Eslamkish
Taymour Eslamkish
Faramarz Doulati Ardejani
Faramarz Doulati Ardejani

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