scholarly journals Assessment of water quality during the floods in may 2014, Serbia

2020 ◽  
Vol 70 (3) ◽  
pp. 215-226
Author(s):  
Dejana Jakovljevic
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Index ◽  
Negative Impact ◽  
Human Life ◽  
Water Quality Assessment ◽  
Aquatic Habitats ◽  
Normal Ranges ◽  
Social And Economic Development ◽  
Canadian Water Quality Index

Floods are considered to be the most common natural disaster which causes more destructive effects than other natural disasters including loss of human life, property and infrastructure damage, as well as a negative impact on social and economic development. Besides these consequences, floods also affect water quality. The aim of this paper is to present water quality impairment caused by the floods in Serbia in May 2014. The parameters of water quality were measured 13 times in 2014 (12 ordinary monthly measurements and one extraordinary measurement during the flood) in hydrological stations Ostruznica and Sabac (on the river Sava) and Badovinci (on the river Drina). The Canadian Water Quality Index (CWQI) was used for water quality assessment. This method calculates the overall water quality and the water quality for specific conditions and purposes including: drinking, aquatic habitats, recreation, irrigation, and livestock. Water quality decline was recorded in all the stations in overall water quality as well as for specific uses. Turbidity and heavy metals values were tens of times higher than normal ranges. The most drastic example was Al with the values which were thousand(s) of times higher than the objective.

scholarly journals Water quality assessment based on multivariate statistics and water quality index of a strategic river in the Brazilian Atlantic Forest

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
David de Andrade Costa ◽  
José Paulo Soares de Azevedo ◽  
Marco Aurélio dos Santos ◽  
Rafaela dos Santos Facchetti Vinhaes Assump
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Network Optimization ◽  
Water Quality Index ◽  
Quality Index ◽  
Monitoring Network ◽  
Water Quality Assessment ◽  
Pollution Source ◽  
Components Analysis ◽  
Government Data

AbstractFifty-four water samples were collected between July and December 2019 at nine monitoring stations and fifteen parameters were analysed to provide an updated diagnosis of the Piabanha River water quality. Further, forty years of monitoring were analysed, including government data and previous research projects. A georeferenced database was also built containing water management data. The Water Quality Index from the National Sanitation Foundation (WQINSF) was calculated using two datasets and showed an improvement in overall water quality, despite still presenting systematic violations to Brazilian standards. Principal components analysis (PCA) showed the most contributing parameters to water quality and enabled its association with the main pollution sources identified in the geodatabase. PCA showed that sewage discharge is still the main pollution source. The cluster analysis (CA) made possible to recommend the monitoring network optimization, thereby enabling the expansion of the monitoring to other rivers. Finally, the diagnosis provided by this research establishes the first step towards the Framing of water resources according to their intended uses, as established by the Brazilian National Water Resources Policy.

scholarly journals Modification of the Water Quality Index (WQI) Process for Simple Calculation Using the Multi-Criteria Decision-Making (MCDM) Method: A Review

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 905
Author(s):  
Naseem Akhtar ◽  
Muhammad Izzuddin Syakir Ishak ◽  
Mardiana Idayu Ahmad ◽  
Khalid Umar ◽  
Mohamad Shaiful Md Yusuff ◽  
...  
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Assessment ◽  
Simple Calculation ◽  
Great Accuracy ◽  
Parameter Selection ◽  
Human Consumption ◽  
Multi Criteria Decision Making

Human activities continue to affect our water quality; it remains a major problem worldwide (particularly concerning freshwater and human consumption). A critical water quality index (WQI) method has been used to determine the overall water quality status of surface water and groundwater systems globally since the 1960s. WQI follows four steps: parameter selection, sub-indices, establishing weights, and final index aggregation, which are addressed in this review. However, the WQI method is a prolonged process and applied to specific water quality parameters, i.e., water consumption (particular area and time) and other purposes. Therefore, this review discusses the WQI method in simple steps, for water quality assessment, based on two multi-criteria decision-making (MCDM) methods: (1) analytical hierarchical process (AHP); and (2) measuring attractiveness by a categorically based evaluation technique (MACBETH). MCDM methods can facilitate easy calculations, with less effort and great accuracy. Moreover, the uncertainty and eclipsing problems are also discussed—a challenge at every step of WQI development, particularly for parameter selection and establishing weights. This review will help provide water management authorities with useful knowledge pertaining to water usage or modification of existing indicators globally, and contribute to future WQI planning and studies for drinking, irrigation, domestic, and industrial purposes.

scholarly journals An Overview on Water Quality Trending for Lake Water Classification in Malaysia

2018 ◽  
Vol 7 (3.23) ◽  
pp. 5
Author(s):  
Muhammad Muzzammil Shahabudin ◽  
Sabariah Musa
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Lake Water ◽  
Quality Index ◽  
Water Quality Assessment ◽  
Lake Water Quality ◽  
Water Classification ◽  
Quality Classification ◽  
Water Quality Classification ◽  
Quality Assessments

Lake water is important to all life and surroundings with multiples benefits and forms either in natural or man-made conditions. One of the most well-known tools for assessing the water quality is Water Quality Index (WQI) and widely used including Malaysia. Lake water quality should be represented in lucid way like other surface water regarding to the WQI standards for water quality assessment on lakes. This paper aims to review on lake water quality classification and its uses based on WQI standards in Malaysia. In this review, the uses of WQI for assessing the lake water and functioned of lakes are discussed. Results on pH from 5.0 to 9.2, BOD in mg/l from 0 to 180, COD in mg/l from 5 to 150, SS in mg/l from o to 1800, DO in mg/l from 0 to 8 and AN in mg/l N from -1 to 26. Variety of numbers is due to different loading of pollutions and location. With used of WQI on lake water quality assessments, further action can be taken for the uses on water resources by maintaining the quality. It also will broaden the uses of lake water as alternative of water resources in Malaysia.  

scholarly journals Evaluation the water quality of the potable water network in Al-Shuala/ Baghdad City

2019 ◽  
Vol 13 (28) ◽  
pp. 116-124
Author(s):  
Zainab Bahaa Mohammed
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Drinking Water ◽  
Quality Index ◽  
Potable Water ◽  
Total Hardness ◽  
Water Network ◽  
Conductivity Water ◽  
Total Dissolved Solid

In this research, the water quality of the potable water network inAl-Shuala Baghdad city were evaluated and compare them with theIraqi standards (IQS) for drinking water and World HealthOrganization standards (WHO), then water quality index (WQI) werecalculator: pH, heavy metals (lead, cadmium and iron), chlorides,total hardness, turbidity, dissolved oxygen, total dissolved solid andelectrical conductivity. Water samples are collected weekly duringthe period from February 2015 to April 2015 from ten sites. Resultsshow that the chlorides, total dissolved solid and electricalconductivity less than acceptable limit of standards, but totalhardness and heavy metals in some samples higher than acceptablelimit of standards while the other parameter is good.WQI shows thatresults is excellent and good for drinking for all location and monthsexcept site (2) gave higher value (65.184) in March and site (9) gavehigh value (57.78, 57.23) at March and April indicate that sites ispoor for drinking water.

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