Showing 13 results for Water Quality Index
R Dehghanzadeh, H Aslani, B Afshar Forugh Shams, B Ghoraishi,
Volume 3, Issue 2 (7-2010)
Abstract
Backgrounds and Objectives: Shortage of available water resource and deficiency of rainfall, increasing in population growth and industrial development, suitable use of water resources and pollution prevention is an essential issue in accord with sustainable development and environmental protection. Present study shows the qualitative status ofMehran River and determines its pollution or non pollution tomunicipal wastewater and to assess qualitative characteristics of the water according to international water quality index.
Materials and Methods:Padding strand of MEHRAN River from source to end has been done for wistful determination of branches, runoff and wastewater entrances, etc. Necessary decisions were made for determining sampling points and critical and effective points on water quality then water samples were analyzed to determine chemical and microbiological characteristics.
Results: Results showed the average of BOD5, COD, TSS, NO3, DO, pH, Turbidity and color are about 80±30, 155±58, 1013±637, 7.3±2, 4.5±3.5 mg/l, 7.2 ±1, 385±238 NTU, 122±70 TCU respectively.
Conclusion: It could be concluded that the Mehran River is completely polluted with municipal sewage and is unsanitary.Water quality index varies in the range of 41-52 and the water is classified as number 4. At present the river is in a dangerous ore toxic state and could not be considered as drinking water resource or needs more advanced water treatment units.
R Noori, F Jafari, D Forman Asgharzadeh, A Akbarzadeh,
Volume 4, Issue 2 (9-2011)
Abstract
Backgrounds and Objectives: The Atrak River is an important water supply resource in the Razavi Khorasan, Northern Khorasan and Golestan provinces. This river is the line border of Iran and Turkistan countries. Unfortunately, lack of water quality and quantity data due to nonexistence of a proper surface water quality monitoring station network is one of the main problems for water quality evaluation in the Atrak River. The main objective of the research is to offer a proper framework for surface water quality evaluation regarding to the mentioned limitations.
Materials and Method: In the first step, proper surface water quality monitoring stations along Atrak River are selected and water quality conditions are indicated using water quality index (WQI) model. The second step is allocated for determining trophic states of the river. Finally, the river water quality modeling is carried out for one of the most important index of water quality in the Atrak River i.e. total dissolved solids (TDS) based on proposed method by Oconnor (1976).
Result: Results of WQI model showed that most of the stations were in the moderate class. The result also showed that most parts of this river had trophic condition. Finally, based on findings of O'Conor model it is demonstrated that the salinity status observed in these four stations originated from the base flow and therefore, salinity is affected by the natural sources.
Conclusion: This methodology in the research can be used in rivers which don't have the proper surface water quality monitoring stations and therefore encountered with lack of water quality data. It can provide the proper strategy and management tasks to reach the good water quality conditions.
R Shokuhi, E Hosinzadeh, G Roshanaei, M Alipour, S Hoseinzadeh,
Volume 4, Issue 4 (3-2012)
Abstract
Background and Objectives: Aydughmush dam was built on Aydughmush River at 19km in southwest of Mianeh City. The dam is multipurpose and its main aims are the spring floods control, supplying potable water for villages and providing irrigation water. Different pollutants which probably discharge to the river finally enter to the dam reservoir so this study focuses on evaluating the quality of the dam reservoir.
Materials and Methods: In this cross sectional study standard field parameters including dissolved oxygen, temperature, Biochemical and chemical oxygen Demand, Most Probable Number of Coliforms, Fecal Coliform, Turbidity, Total Dissolved Solids, Total Solids, pH, conductivity and others were measured at eight different stations during the spring and summer in 2010. Sampling points were selected on the basis of their importance. Water quality index was calculated using water quality index calculator given by National Sanitation Foundation (NSF) information system.
Results: The highest value of WQI of the samples was 84.89 in A3 station in July while the lowest value was 67.96 in A2 station in May. The lower value of WQI has been found mainly due to the slightly lower value of DO in the dam reservoir water. Most of the water samples were found within Good category of National Sanitation Foundation Water Quality Index (NSF-WQI). Comparison of the measured parameters based on the sampling stations and various months by variance and t-student analysis showed a significant relationship for some parameters(P<0.05). Nutrient budget determination indicates that the concentration of phosphate, nitrite, nitrate and ammonia at inlet are higher than outlet of the dam reservoir.
Conclusion: The calculated (WQI) showed good water quality. Based on the results of NSFQWI calculations, the dam reservoir water quality is suitable for various purposes.
Mohaad-Reza Mohebbi, Koshyar Azam Vaghefi, Ahmad Montazeri, Mehrnoosh Abtahi, Sogol Oktahi, Reza Gholamnia, Fatemeh Aliasgari, Reza Saeedi,
Volume 6, Issue 2 (9-2013)
Abstract
Background and objectives: In this research, an innovative drinking water quality index for assessing water resources as “modified drinking water quality index (MDWQI)” was developed and applied for evaluating all of the groundwater resources utilized for community water supply in urban areas of Iran during 2011. Materials and methods: Twenty-three water quality parameters and relevant Iranian standards for drinking water quality were selected as input parameters and benchmarks respectively. The MDWQI is calculated using three factors including the number of parameters that excurse benchmarks, the number of measurements in a dataset that excurse benchmarks and the magnitude of excursions. The MDWQI scores range from 0 to 100 and classify water quality in five categories as excellent (95-100), good (80-94), fair (65-79), marginal (45-64), and poor (0-44). Results: According to the MDWQI value, about 95% of the groundwater resources were in the good condition and the others were in the fair or marginal condition also the best and the worst water quality of water resources were observed in Ardebil Province and Qom Province respectively. The three parameters of fluoride, magnesium, and nitrate recorded the highest rates of violation to be 74, 32, and 13% respectively. Conclusion: The nationwide average score of the MDWQI was 85 (good description). This study indicated that the MDWQI and its sub-indices could describe the overall water quality of water bodies easily, reliably and correctly and have the potential suitability for extensive application all over the world.
Amir Hossein Javid, Seyed Ahmad Mirbagheri, Arezoo Karimian,
Volume 7, Issue 2 (10-2014)
Abstract
Background and Objectives: Dez dam located on Karun River is one of the largest Iranian dams. In a field study, EC, NO3, NH4, PO4, turbidity, TS, alkalinity, coli, temperature, chlorophyll a, DO, BOD5, and Secchi disk (at depths of 0, 2.5, 5, 10, 25, and 50 m)were measured at five sampling points during 2011-2012 water year. Materials and Methods: Water Quality Index and TSI were calculated for all sampling points and quality zonation was conducted in GIS. Results: It was found that the best water quality index for reservoir water is at second sampling point with amount of 61 situated at the center of reservoir, and the worst index is at entering point to the reservoir with amount of 46 in April. The main reason of changes was turnover of thermal stratification. Conclusion: The laboratory analysis and assessing the quality indices revealed that the Dez reservoir water is suitable for variety of public uses, however, it needs advanced treatment for drinking purpose. Moreover, in the case of continuity of pollutant entrance into the reservoir, the eutrophication risk would threaten the reservoir water quality. Eutrophication occurrence will cause serious limitations in water use applicability, increase turbidity, produce toxic materials, and increase sedimentation regime.
B Sepehrnia, R Nabizadeh, A.h Mahvi, S Naseri,
Volume 9, Issue 1 (6-2016)
Abstract
Background and Objective: In this study, WQI was estimated using an Iranian software called IWQIS to assess drinking water quality in Ray Township distribution systems.
Materials and Methods: The assessment of 73 samples of drinking water during 2013 and the comparison of 18 physicochemical parameters with the standard Code of 1053 (Iran National Standard) was done.
Results: The results showed that the concentration of 7 parameters is out of normal range in special percentage of the samples. Those parameters are as follow: total hardness (31.5%), Mg (46.6%), nitrate (50.68%), Na (45.2%), F (42.46%), Cl (2.7%), Sulfate (28.76%) of samples. The medium concentration of theses parameters was: total hardness (375 mg/L), Mg (32 mg/L), Nitrate (47.43 mg/L), Na (187 mg/L), F (0.5 mg/L), Cl (169 mg/L), and Sulfate (263 mg/L). It is estimated that 5.6% of the population of this township are highly exposed to nitrate, 79.1% to fluoride and 13.5% are exposed to sodium. The average WQI in Rey Township in a good spectrum is 71.22.
Conclusion: 17 samples (23.2%) were assessed in excellent spectrum, 54 samples (74%) in good and 1 sample (1.4%) in very poor spectrum and 1 sample in unsuitable condition were assessed. No sample was assessed in poor situation. The samples of the autumn showed the worst quality.
M Teimouri, V Sheikh, A Sadoddin,
Volume 11, Issue 2 (9-2018)
Abstract
Background and Objective: Water quality is one of the issues that is of great importance to economic and social development due to the high costs of providing healthy drinking water and its risk to human health and the environment. For instance, although only a short time has passed since the construction of the Shirin-darreh dam, the problems arising from its exploitation have challenged the environmental sector and the health of the water.
Materials and Methods: Water quality is affected by complex processes and various variables. Accordingly, NSFWQI input variables at monthly intervals collected at the dam reservoir during December 2011 - November 2012 was used to evaluate the water quality of the reservoir based on the grey relational analysis process. The results were compared with the results of the NSFWQI method. Also, the Shannon Entropy method was used, considering the importance of weight of variables in different methods.
Results: The results showed that the water quality in the grey analysis method from November 2011 to May 2012 and in the NSFWQI method from October 2011 to April 2012 was moderate and in the remaining months was bad. In the grey analysis method, the highest reservoir value was related to Station 3 and month of February 2012 with a value of 64.2 and the worst water quality was related to Station 4 and month of August 2012 with a value of 39.2. Also, In NSFWQI method, the highest reservoir value was related to station 3 and month of February 2012 with a value of 68.7, and the worst water quality was related to Station 1 and month of August 2012 with a value of 39.1.
Conclusion: Although there was no significant difference between the two methods, due to the greater adaptability of the results of the gray analysis method with the weather events and upstream conditions of the dam, this method is recommended. Due to the relative inadequacy of Shirin-darreh reservoir water in some months, it is essential that the source of pollutants from upstream areas is identified. After identification of the hotspots and preparation of the critical areas map, the appropriate control measures could be implemented.
H Hosseini, A Shakeri, M Rezaei, M Dashti Barmaki, M Shahraki,
Volume 11, Issue 4 (3-2019)
Abstract
Background and Objective: Chahnimeh water reservoirs in Sistan and Baluchestan Province are the most important sources for drinking water and irrigation purposes. Many factors such as precipitation, the geography of the watershed, atmosphere, geology and Human activities affect on the chemical, physical, and biological compositions of Chahnimeh water reservoirs. Therefore, the main goal of the present study was to monitor and assess water quality in four Chahnimeh reservoirs during two sampling periods.
Materials and Methods: 84 water samples were taken based on the standard methods (in September 2017 and April 2018) for measurement of the most important physicochemical parameters including major anions, total coliform, BOD, EC, TDS, pH and nitrate. Water quality index (WQI) was used to evaluate the overall water quality status in the Chahnimeh reservoirs.
Results: The results of hydro-geochemical analysis indicated that the water type changed from sodic bicarbonate and sulfur dioxide to radicle chloride during sampling periods. The Gibbs chart showed that weathering of rocks mainly controlled the chemistry of the main water ions. The results of statistical analyses revealed that there was a high correlation between parameters such as chlorophyll, nitrate, sulfate and chlorine with water quality index. Water quality zoning results based on the WQI index indicated a decrease in the water quality of the wells by 3, 2, 1, and 4, respectively.
Conclusion: In this study, the use of WQI was helpful for fast data interpretation for drinking water purposes in the area. Based on the WQI classification, majority of the samples are falling under good to poor water category.
Mehrnoosh Abtahi, Mahmood Alimohammadi, Reza Saeedi, Ramin Nabizadeh, Masoomeh Askari, Babak Mahmoudi, Maryam Ghani,
Volume 14, Issue 2 (9-2021)
Abstract
Background and Objective: The aim of this study was to evaluate the chemical and microbial quality of bottled water in Iran and to calculate the water quality index (WQI).
Materials and Methods: Different brands of bottled water (4 samples from 71 brands) were randomly collected from the market. Chemical and microbial characteristics of the samples were examined and determined. Finally, the calculations related to the WQI index were performed and the water samples were classified as excellent, good, poor, very poor and unsuitable.
Results: None of the samples exhibited concentration of heavy metals beyond Iranian water standards, and the concentration of sulfate (SO4), chloride (Cl) and fluoride (F) did not exceed international standards. However, in some samples, nitrite (NO2) and nitrate (NO3) concentrations were higher than recommended standards. With Regard to other water quality parameters, 8% to 89% of the samples exhibited concentration higher than the values provided on the water bottle label. 5 species of different bacteria were found in 15 water samples. According to the WQI index, about 63% of the samples were of excellent quality. Also, the water quality of 34% and 3% of the samples fell in good and poor quality categories, respectively. None of the bottled water samples was of very poor quality.
Conclusion: The quality of bottled water investigated in this study was generally suitable, but due to the wide range of bottled water in Iran based on brand and seasons, continuous evaluation of water treatment methods in companies and careful monitoring of chemical and microbial quality of bottled water in all seasons is recommended.
Mohammad Rezvani Ghalhari, Benyamin Ajami, Esfandiar Ghordouei Milan, Moein Khalooei, Amir Hossein Mahvi,
Volume 14, Issue 4 (3-2022)
Abstract
Background and Objective: Groundwater is the primary water source for drinking and agricultural activities in arid and semi-arid regions. Rainfall, land use, geological structure, aquifer mineralogy, and duration of water contact with the environment in the basement are the main factors affecting the chemical quality of groundwater. This study aimed to determine the physicochemical properties of groundwater by considering the water quality index (WQI) and its quality assessment for drinking water.
Materials and Methods: In this study, 71 wells of Kashan were sampled in summer 2020 with three samplings from each well, and physical and chemical parameters were studied, water quality index was determined using mathematical methods, and Pearson correlation coefficient was determined. Correlation analysis was used. Finally, the collected data were analyzed using SPSS-16 software, Excel 2013, and statistical tests.
Results: The calculated WQI of 71 wells in Kashan shows that 67% of the wells were of excellent quality, and 33% were of good quality in terms of water quality parameters. In total, out of 71 samples, the numerical index of water quality was 44.94, and the water was of excellent quality.
Conclusion: The results show that ions such as sodium, sulfate, and chlorine are directly related to the counting in an area and increase the concentrations of EC and TDS, and can impair the balance of anionic and cationic aqueous solution. It was also found that more than half of the wells have excellent quality due to using water wells for drinking.
Reza Kheiri Soltan Ahmadi, Habib Nazarnejad, Farrokh Asadzadeh,
Volume 14, Issue 4 (3-2022)
Abstract
Background and Objective: With the industrialization of communities, population increase and use of surface water, river pollution has been increased by agricultural, industrial pollutants and urban wastewater. Therefore, investigation of river pollution for regional and environmental planning is of great importance. To evaluate surface water pollution, a number of surface water quality indices have been investigated.
Materials and Methods: Iran water quality index for surface water resources (IRWQISC) approach was used to evaluate the water quality of the Mahabadchai river, Iran. Sampling was carried out along the Mahabadchai river based on some criteria such as approximately to drainage areas for landfills/domestic and agricultural effluents.
Results: Pearson correlation coefficient between physical, chemical and microbial parameters of water showed that fecal coliform, BOD, COD, nitrate, ammonium, phosphate, turbidity and total hardness had a significant positive relationship with each other at 99% confidence. According to this index, upstream samples of the river are classified as good, mid-stations relatively good to moderate category, and downstream samples of the river are classified as relatively bad.
Conclusion: Based on the relationship between each variable, fecal coliform, BOD, COD, ammonium, and turbidity were more effective in determining the IRWQISC. Most of the examined variables showed low concentrations in upstream areas of the river while their concentration gradually increased along the river to downstream areas, especially close to urban and industrial districts.
Houshang Ghamarnia, Meisam Palash, Zoleikha Palash,
Volume 15, Issue 3 (12-2022)
Abstract
Background and Objective: Increasing the productivity of surface water, the unsustainable development of agriculture in the boundaries of rivers, and human sewage have reduced the quality of these water resources. Therefore, investigating the amount of pollution and its sources is very necessary for regional planning. This study aimed to evaluate the water quality of the Golin River using WQI and Liou indexes.
Materials and Methods: Sampling of Golin river water was performed to check water quality based on (WQI) and (Liou) indices in Najjar village station for one year from April 2019 to March 2020.
Results: Water quality, according to the Liou index, during the research period in the sampling station in September and March, was in a good category and other months were slightly polluted. According to the results of the WQI index, water quality in September and March were in the excellent descriptive category, with values of 47.82 and 49.74, respectively, but in other months it was in a good category. In September and March, water quality improved compared to other months because of lower BOD5 due to reduced agricultural activities, and both indicators showed these quality changes well.
Conclusion: Due to the lack of stable conditions in water quality affected by seasonal changes and its departure from the category of high-quality water according to the results of the WQI index and also a little water pollution according to the Liou index, the direct use of Golin River water for drinking purposes is recommended and for this purpose, regular purification should be done and accurate and continuous evaluations of water quality in Golin River are necessary.
Abbas Khazaee, Mehrnoosh Abtahi, Mahsa Jahangiri-Rad, Fatemeh Shokri-Daryan, Mohammad Rafiee,
Volume 17, Issue 1 (6-2024)
Abstract
Background and Objective: Identifying the quality of non-conventional waters and exploring their optimal utilization are fundamental measures for maintaining public health. This study aims to investigate the effluent quality of the irrigation canals in Pakdasht farms.
Materials and Methods: In this cross-sectional descriptive study, 120 samples were collected from 6 irrigation canals in Pakdasht fields over a period of 5 months. The physicochemical and microbial characteristics of the canal effluents were determined based on the standard methods of water and wastewater tests. The concentration of heavy metals was measured using an ICP device. To determine the possibility of using the effluent of Pakdasht canals for agricultural purposes, the Environmental Protection Organization of Iran and FAO standards were used.
Results: The average concentrations of COD, BOD5, TSS, TDS, NO3-, SO4-2, PO4-3 parameters were 259, 125, 105, 697, 4.5, 94.4, 13.5 mg/L. Additionally, the average number of total and fecal coliforms in the effluent of the canals exceeded the standard values set by IRNDOE and FAO. The mean pH was 6.97, the electrical conductivity (EC) was 1014 μm/cm, and the turbidity was 76.2 NTU. The detected concentrations of heavy metals were awithin the following ranges: Cr (0.025-0.045 mg/L), Cd (0.0006-0.001 mg/L), Pb (0.0006-0.001 mg/L), Co (0.038-0.059 mg/L), and Ni (0.05-0.06 mg/L), which were roughly lower than the suggested standards. However, both HEI and WWQI indices confirmed that the water was unsuitable for agricultural irrigation.
Conclusion: Based on the comparison of the results of the parameters measured in this study with the environmental and FAO standards, the effluent from the irrigation canals of Pakdasht city is deemed unsuitable for the irrigation of warm-season crops but suitable for fodder and industrial crops.
