Salak River Water Quality Identification and Classification According to Physico-Chemical Characteristics

Rosli, Nor Azalina; Zawawi, Mohd Hafiz; Bustami, Rosmina A.

doi:10.1016/j.proeng.2012.10.009

Cited by 8 publications

(15 citation statements)

References 3 publications

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“…Bagheri et al (2014) conducted a study on physico-chemical and biological pollutions of these hot spring resorts; they reported a high EC (24.2-1073.6 μS/cm) and turbidity (10.2-22.6 NTU) in these facilities; besides, TC and FC were determined over 500 and 350, respectively. Since, EC and TDS are important factors in salinity of the water (Rosli et al 2012;Duncan et al 2009) and, consequently, they impact on water quality, it has been noticed that these parameters had the highest value in station B1 compared with the other stations in the studied basin (Fig. 4a).…”

Section: Discussionmentioning

confidence: 91%

“…Due to ease of disposal of municipal, industrial, and agricultural wastewaters to rivers and their basin, they are counted among the most vulnerable resources (Singh et al 2004;Rosli et al 2012;Qadir et al 2007). Water quality deterioration reduces its usability downstream and imposes higher costs of water treatment on the water supply systems (Fulazzaky 2009;Jindal and Sharma 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Water quality monitoring, especially in rivers, in addition to identification of the pollutant resources and their effects on water quality, can give warnings to downstream consumers in order to prevent accidents and dangerous situations (Jindal and Sharma 2010;Fan et al 2010). Many studies have been published concerning the assessment of water quality in rivers using physical, chemical, and biological parameters (Singh et al 2004;Rosli et al 2012;Qadir et al 2007;Fan et al 2010;Sánchez et al 2007;Avvannavar and Shrihari 2007). In early studies, the measured parameters were compared with the existing standards in order to assess the water quality.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal evaluation of Yamchi Dam basin water quality using Canadian water quality index

Farzadkia

Djahed

Shahsavani

et al. 2015

Environ Monit Assess

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In recent years, the growth of population and increase of the industries around the tributaries of Yamchi Dam basin have led to deterioration of dam water quality. This study aimed to evaluate the quality of the Yamchi Dam basin water, which is used for drinking and irrigation consumptions using Canadian Water Quality Index (CWQI) model, and to determine the main water pollution sources of this basin. Initially, nine sampling stations were selected in the sensitive locations of the mentioned basin's tributaries, and 12 physico-chemical parameters and 2 biological parameters were measured. The CWQI for drinking consumptions was under 40 at all the stations indicating a poor water quality for drinking consumptions. On the other hand, the CWQI was 62-100 for irrigation at different stations; thus, the water had an excellent to fair quality for irrigation consumptions. Almost in all the stations, the quality of irrigation and drinking water in cold season was better. Besides, for drinking use, total coliform and fecal coliform had the highest frequency of failure, and total coliform had the maximum deviation from the specified objective. For irrigation use, total suspended solids had the highest frequency of failure and deviation from the objective in most of the stations. The pisciculture center, aquaculture center, and the Nir City wastewater discharge were determined as the main pollution sources of the Yamchi Dam basin. Therefore, to improve the water quality in this important surface water resource, urban and industrial wastewater treatment prior to disposal and more stringent environmental legislations are recommended.

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Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal evaluation of Yamchi Dam basin water quality using Canadian water quality index

Farzadkia

Djahed

Shahsavani

et al. 2015

Environ Monit Assess

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“…The deterioration of water quality reduces its usability and significantly affects the life of humans, animals, and plants (1,2). Among the various sources of water, surface water is the most vulnerable due to the rather easy discharge of industrial, urban, and agricultural waste waters (3)(4)(5). Therefore, to use these resources for agriculture or drinking consumptions, continues monitoring of their quality seems necessary (6,7).…”

Section: Introductionmentioning

confidence: 99%

Water Quality Assessment of Dorudzan Reservoir(Shiraz) for Drinking and Irrigation Uses

et al. 2016

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Background and Purpose: Today, by increasing different pollutants, the continuous monitoring of surface waters is essential. Dorudzan Dam is one of the main sources of surface water in Fars Province, Iran; hence, the current study investigated the quality of Dorudzan Reservoir for drinking and irrigation consumptions. Materials and Methods:In this study, various physicochemical parameters [pH, total dissolved salt (TDS), Ca, Mg, electrical conductivity (EC), HCO 3 , CO 3 , Na, Cl, NO 2 , NO 3 , F, SO 4 , K, PO 4 , TH, sodium adsorption ratio, temperature, and turbidity] were measured. Besides, to determine the water quality in the studied water supply, 31 samples (18 samples in the cold seasons and 13 samples in the warm seasons) were taken from the reservoir outlet. For analyzing the gathered data, Canadian Water Quality Index was utilized. Results:The irrigation water quality in the reservoir was determined between 73 and 78 (good) in cold, warm, and all seasons together, and for drinking consumption, the value was 89-90 (very good). The model showed that TDS (480.03 ± 59.14) and HCO 3 (206.71 ± 23.75) in the irrigation consumption and EC (693.00 ± 94.11) and turbidity (1.10 ± 0.23) in the drinking consumption had the greatest contributions in reducing the quality of the water source. Conclusion:The results revealed that generally the physicochemical quality of the reservoir's water was more suitable for drinking consumption in compare to irrigation use. Nevertheless, based on the used model, its quality for irrigation is also desirable. [Djahed B, Narooie MR, Kazeminejad SA, Shahsavani E, *Bazrafshan E. Water Quality Assessment of Dorudzan Reservoir, Shiraz, Iran, for Drinking and Irrigation Uses. IJHS 2016; 4(2): 1-10] http://jhs.mazums.ac.ir Surface water quality assessment B. Djahed et al. Iran J Health Sci 2016; 4(2): 2 Surface water quality assessment B. Djahed et al. Iran J Health Sci 2016; 4(2): 10

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“…The river lies between longitude 101° 48'32.9 "E to 101°t heir low concentrations but toxicwhen exceed the 52'30.5 "E and latitude 02° 54'14.9 "N to 03 ° 03'23.1 "N. minimum requirements [8].…”

Section: Introductionmentioning

confidence: 99%

Heavy Metals and Water Quality Assessment Using Multivariate Statistical Techniques and Water Quality Index of the Semenyih River, Peninsular Malaysia

Al-Badaii¹

2014

IJEE

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Abstract:The present study was carried out to investigate and determine the water quality and the pollution sources affected on Semenyih River using multivariate statistical techniques and water quality index (WQI). Temperature, pH, dissolved oxygen (DO), conductivity, total dissolved solids (TDS), sulfate (SO ), nitrate determined that 96.63% of the total variance was accounted for five factors which pointed to the variables responsible for deterioration of water quality attributed to anthropogenic activities associated with urbanization, industrialization, agriculture, livestock husbandry and mining activities. In addition, WQI classified the river as clean (Class I) at station 1, slightly polluted (Class II) at stations 2 and 3 and as moderately polluted (Class III) at stations 4-8; in general; however, the river falls into class III and thus is required extensive treatment before using for domestic purposes. Therefore, this study verified that the multivariate statistical techniques and water quality index are mainly required for interpreting complex data sets for the purpose of analysis of water quality variations.

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Salak River Water Quality Identification and Classification According to Physico-Chemical Characteristics

Cited by 8 publications

References 3 publications

Spatio-temporal evaluation of Yamchi Dam basin water quality using Canadian water quality index

Spatio-temporal evaluation of Yamchi Dam basin water quality using Canadian water quality index

Water Quality Assessment of Dorudzan Reservoir(Shiraz) for Drinking and Irrigation Uses

Heavy Metals and Water Quality Assessment Using Multivariate Statistical Techniques and Water Quality Index of the Semenyih River, Peninsular Malaysia

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