Hydrogeochemistry and water quality assessment of the Kor–Sivand Basin, Fars province, Iran

Rasouli, Fatemeh; Pouya, Ali Kiani; Cheraghi, S. A. M.

doi:10.1007/s10661-011-2308-z

Cited by 39 publications

(12 citation statements)

References 33 publications

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“…A high positive correlation between Na ? and SAR concentrations has been reported (Rasouli et al 2012). At station 1 rain was significantly negatively correlated with HCO 3 -only, at a level of 0.05.…”

Section: Correlation Between Environmental Variablesmentioning

confidence: 67%

Long-term evolution of the composition of surface water from the River Gharasoo, Iran: a case study using multivariate statistical techniques

Rezaei

Sayadi

2014

Environ Geochem Health

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We report an assessment of the quality of surface water from the River Gharasoo, Iran, with rainfall data. EC, pH, HCO(3)(-), Cl(-), SO(4), Ca(2+), Mg(2+), Na(+), %Na, and sodium adsorption ratio results, monitored monthly by two sampling stations over a period of 40 years, were held by the Hydraulic Works Organization in Kermanshah City. Principal-components analysis of the data revealed three factors for each station explaining 90.36 and 79.52 % of the total variance in the respective water-quality data. The first factor was chemical components resulting from point and non-point source pollution, especially industrial and domestic waste, and agricultural runoff, as a result of anthropogenic activity. Rainfall had significant negative correlation with bicarbonate only, at a level of 0.05, at station 1. Box-plot analysis revealed that, except for pH, the other studied characteristics were indicative of high pollution at station 1. Among the sources of pollution at station 1, Mg(2+) and Cl(-) data deviated most from normal distribution and included outliers and extremes. Hierarchical cluster analysis showed EC was substantially affected by rainfall. It is thus essential to treat industrial wastewater and municipal sewage from point sources by adoption of the best management practices to control diffuse pollutants and improve water quality of the Gharasoo River basin.

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Section: Correlation Between Environmental Variablesmentioning

confidence: 67%

Long-term evolution of the composition of surface water from the River Gharasoo, Iran: a case study using multivariate statistical techniques

Rezaei

Sayadi

2014

Environ Geochem Health

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“…Based on the above classification, 40.6% of the samples fall in class 1 (Excellent), 59% of samples fall in class 2 (Good) and 0.8% samples fall in unsuitable for irrigation usage. [53]. A magnesium ratio of more than 50 is considered to be harmful and unsuitable for irrigation use.…”

Section: Permeability Indexmentioning

confidence: 99%

Hydrochemistry for the Assessment of Groundwater Quality in Korea

Hwang¹,

Park²,

Kim³

et al. 2017

JACEN

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Understanding of the aquifer hydraulic properties and hydrochemical characteristics of water is crucial for management plan and study skims in the target area, and flow motions and chemical species of groundwater are regarded as precious information on the geological history of the aquifers and the suitability of various usages. Cations and anions of groundwater are used to estimate the characteristics and origin of groundwater. In this study, we try to evaluate the quality of groundwater based on the comparison of the physiochemical characteristics and distribution of cations and anions in groundwater from rural areas. Therefore we focused on the evaluation of groundwater as some specific purposes such as agricultural and industrial use, general types of groundwater, lithological origin of chemical component in groundwater. In this point of view, major objectives of this study were grouped as following three categories: 1) quality assessment of groundwater as a special usage (agricultural, industrial); 2) determination of groundwater types; 3) tracing of ion sources of groundwater. The quality of agricultural water was evaluated using SAR, sodium (%), RSC, PI, SSP, MH, PS, and Kelly's ratio, and was classified as SAR (Excellent (100%)), Sodium ((Excellent (34%), Good (55%), Permissible (9%), Doubtful (1.6%), Unsuitable (0.4%)), RSC (Good (95.7%), Medium (3.5%), Bad (0.8%)), PI((Excellent (40.6%), Good (59%), Unsuitable (0.4%)), SSP ((Excellent (26.3%), Good (59.8%), Fair (13.1%), Poor (0.8%)), MH ((Acceptable (94.4%), Non-Acceptable (5.6%)), Kelly's Ratio ((Permissible (93%), NonPermissible (7%)), PS ((Excellent to Good (98%), Good to Injurious (1.2%), and Injurious to Unsatisfactory (0.2%)). Evaluation based on the Wilcox diagram was classified as "excellent to good" or "good to permissible", and the water quality evaluated using the U.S. salinity Laboratory's Diagram was classified as C1S1 (Excellent/Excellent) and C2S1 (Good/Excellent). And, in the applications of two factors of Langelier Saturation Index (LSI) and Corrosive ratio (CR), we could get similar results for defining the suitabilities of groundwater for the industrial purpose. And the groundwater samples were also clas- Ca -HCO + − type. And, estimation of dominance type (evaporation, rock, precipitation) based on the Gibbs diagram showed that the origin of anion and cation in groundwater are from the rock-do-minance, and the estimation of origin of anions using the Chadha diagram showed that the most of the ionic species was originated from the interactions between alkaline earths and alkali metals contained in the soil. And through the source-rock deduction followed by the comparison of Gibbs and Chadah diagram, it was shown that the chemical components in the groundwater were mostly induced from the water-rock deduction and major types of groundwater samples following the Chadah diagram were categorized such as following group types: dolomite type, gypsum type, alkaline and alkaline earth type.

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“…High levels of soluble salts in soils may result in reduced plant productivity of crops and native vegetation (Rasouli et al, 2012). Nitrate (NO3) concentrations over 5 mg l -1 in surface waters are considered as an indicator of water pollution.…”

Section: Chemical and Physical Parametersmentioning

confidence: 99%

Assessment of water quality in drainage canals of Çarşamba Plain, Turkey, through water quality indexes and graphical methods

2016

Global NEST Journal

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In this study, the seasonal variation on drainage water quality of Çarşamba Plain, Turkey has been evaluated from July 2012 to January 2013 and determined the suitability of water for irrigation purpose. Water samples collected from 21 drainage canals during July and January were analysed for 12 water quality parameters including physico-chemical analyses. Piper diagram and United States Salinity Laboratory (USSL) diagram were prepared to investigate water quality. Sodium Adsorption Ratio (SAR), Percent Sodium (Na%), Residual Sodium Carbonate (RSC), Kelly Index (KI), Magnesium Ratio (MR), Langelier Saturation Index (LSI), Permeability Index (PI) and Potential Salinity (PS) were also used to assess suitability of waters for irrigation. . Waters of 7 drainage canals were found to be unsuitable for irrigation with regard to KI, 3 canals with regard to RSC and 13 canals with regard to MR. According to USSL diagram, 24% of drainage waters were classified in C2S1, 62% in C3S1, 4% in C4S2 and 10% in C4S4 class. In January 2013, EC values varied between 0.16-1.44 dS m -1 . Waters of one canal was found to be unsuitable for irrigation with regard to KI and 8 canals with regard to MR values.The result obtained from paired sample t-test revealed that the drainage canal water quality varies significantly between July 2012 and January 2013 except for Ca, Mg and SO4. According to analysed parameters, some of the drainage canals were considered unsuitable for irrigation in July 2012. The water properties of all canals were observed as unsuitable to be used for drip irrigation in accordance to the LSI index. Classification of drainage water by USSL diagrams indicates a low sodium and high salinity hazard.

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Hydrogeochemistry and water quality assessment of the Kor–Sivand Basin, Fars province, Iran

Cited by 39 publications

References 33 publications

Long-term evolution of the composition of surface water from the River Gharasoo, Iran: a case study using multivariate statistical techniques

Long-term evolution of the composition of surface water from the River Gharasoo, Iran: a case study using multivariate statistical techniques

Hydrochemistry for the Assessment of Groundwater Quality in Korea

Assessment of water quality in drainage canals of Çarşamba Plain, Turkey, through water quality indexes and graphical methods

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