scholarly journals Assessment of Water Quality Parameters and Heavy Metals Analysis at Universiti Sultan Zainal Abidin Besut Campus Lake

2021 ◽  
Vol 12 (1S) ◽  
pp. 184-197
Author(s):  
Abdul Rahim Ibrahim ◽  
Saiful Iskandar Khalit ◽  
Zati Sharip ◽  
Noor Atiqah Badaluddin
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Quality Standard ◽  
Lake Water Quality ◽  
Body Contact ◽  
Water Quality Standard ◽  
Index Value

Water is the most crucial element for living organisms as a component for survival. Even water has become the habitat for some organisms. Therefore, assessment of water quality is vital to keep water in good condition. This study aimed to determine the water quality of Besut Campus Lake by assessing the physicochemical parameters. Water Quality Index (WQI) is related to the process of determining the status class of water according to beneficial use, with a higher index value indicate good water quality. National Lake Water Quality Standard (NLWQS) was also applied in determining the category of enclosed water systems like ponds and lakes. Water samples were taken from sampling stations at Besut Campus Lake and undergo in – situ and ex–situ analyses involving nine physicochemical parameters. In addition, heavy metal analyses were conducted in the laboratory according to American Public Health Association (APHA) methods. Based on the research conducted, Besut Campus Lake was classified as Class Ⅱ with an index value of 78.23 from the Malaysia Water Quality Index (MWQI), which means recreational activities can be conducted within the lake area involving body contact. Meanwhile, according to National Lake Water Quality Standard (NLWQS), the water category of Besut Campus Lake can be categorised as Category B, which means recreational activities with secondary body contact. Further in-depth analyses involving other microbiological parameters should be carried out before the water can be recommended for primary contact recreation such as swimming.

scholarly journals The Influence of Land Use To River Water Quality Level by Using The Water Quality Index Of National Sanitation Foundation (WQI-NSF) Method (Case Study: Klampok River, Semarang District)

2020 ◽  
Vol 202 ◽  
pp. 04006
Author(s):  
Winardi D Nugraha ◽  
Mohammad Rafif D Cahyo ◽  
Nurandani Hardyanti
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Water Quality Index ◽  
Quality Index ◽  
Government Regulation ◽  
Quality Standard ◽  
Quality Level ◽  
Land Use Patterns ◽  
Industrial Activities ◽  
Index Value

Klampok River is a river located in Semarang Regency, Central Java, which is in the Klampok Sub-watershed part of the Jragung Watershed. This 16-km-long river crosses four sub-districts in Semarang Regency, namely Bandungan, Bawen, Bergas, and Pringapus. Most of the land use along the Klampok watershed is for agricultural, residential, plantation, and industrial activities. This study aims to find out the water quality in Klampok River using Water Quality Index National Sanitation Foundation method and analyze the influence of land use and land cover (LULC) towards water quality with descriptive analysis. Land use patterns were analyzed using ArcGIS 10.3.1 software. Overall, the index value shows that the Klampok River is in good status and based on Government Regulation no. 82 of 2001, only the Fecal coliform parameter exceeded the quality standard. The highest index value (77.41) is in segment 2 with dominant land use in the form of agriculture and settlements and the lowest (73.88) in segment 4 with land use in the form of plantations, residential, and industrial activities.

scholarly journals Surface lake water quality index estimation using fuzzy logic interface

2020 ◽  
Author(s):  
R. Kumaravel ◽  
J.S. Sudarsan ◽  
D. Justus Reymond ◽  
S. Ramesh ◽  
B. Nithesh Ikshwaak
Keyword(s):  
Water Quality ◽  
Fuzzy Logic ◽  
Lake Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Lake Water Quality ◽  
Index Estimation

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 A study on ground water quality of industrial area at Gajraula (U.P.), India

2009 ◽  
Vol 1 (2) ◽  
pp. 275-279 ◽  
Author(s):  
D. S. Malik ◽  
Pawan Kumar ◽  
Umesh Bharti
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Analytical Techniques ◽  
Industrial Area ◽  
Quality Standard ◽  
Quality Parameters ◽  
Marginal Values

The present study aims to identify the ground water contamination problem in villages located in the close vicinity of Gajraula industrial area at Gajraula (U.P.), India. Ground water samples were collected from different villages at the depth of 40 and 120 feet from earth’s surface layer. Analytical techniques as described in the standard methods for examination of water and waste water were adopted for physico-chemical analysis of ground water samples and the results compared with the standards given by WHO and BIS guidelines for drinking water. Water quality index was calculated for quality standard of ground water for drinking purposes. The present investigation revealed that the water quality is moderately degraded due to high range of seven water quality parameters such as Temperature (18.33-32.36 0C), conductivity (925.45-1399.59 μmho/cm), TDS (610.80-923.73 mgL-1), Alkalinity (260.17- 339.83 mgL-1), Ca-Hardness (129.68-181.17 mgL-1), Mg-Hardness (94.07-113.50 mgLÉ1) and COD (13.99-25.62 mgL-1). The water quality index (WQI) also indicated the all the water quality rating comes under the standard marginal values (45-64) i.e. water quality is frequently threatened or impaired and conditions usually depart from natural or desirable levels.

scholarly journals Application of artificial neural network (ANN) for water quality index (WQI) prediction for the river Warta, Poland

2021 ◽  
Vol 2130 (1) ◽  
pp. 012028
Author(s):  
M Kulisz ◽  
J Kujawska
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Artificial Neural Network ◽  
Surface Water ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Surface Water Quality ◽  
Network Modelling ◽  
Neural Network Modelling

Abstract The aim of this paper is to present the potential of using neural network modelling for the prediction of the surface water quality index (WQI). An artificial neural network modelling has been performed using the physicochemical parameters (TDS, chloride, TH, nitrate, and manganese) as an input layer to the model, and the WQI as an output layer. The physicochemical parameters have been taken from five measuring stations of the river Warta in the years 2014-2018 via the Chief Inspectorate of Environmental Protection (GIOŚ). The best results of modelling were obtained for networks with 5 neurons in the hidden layer. A high correlation coefficient (general and within subsets) 0.9792, low level of MSE in each subset (training, test, validation), as well as RMSE at a level of 0.624507639 serve as a confirmation. Additionally, the maximum percentage of an error for WQI value did not exceed 4%, which confirms a high level of conformity of real data in comparison to those obtained during prediction. The aforementioned results clearly present that the ANN models are effective for the prediction of the value of the Surface water quality index and may be regarded as adequate for application in simulation by units monitoring condition of the environment.

GIS-based Spatio-Temporal and Geostatistical Analysis of Groundwater Parameters of Lahore Region Pakistan and their Source Characterization

2021 ◽  
Author(s):  
Sadia Ismail ◽  
M Farooq Ahmed
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Large Data ◽  
Quality Parameters ◽  
Source Characterization ◽  
Data Set ◽  
Spatio Temporal

Abstract Assessment of groundwater quality is critical, especially in the areas where it is continuously deteriorating due to unplanned industrial growth. This study utilizes GIS-based spatio-temporal and geostatistics tools to characterize the groundwater quality parameters of Lahore region. For this purpose, a large data set of the groundwater quality parameters (for a period of 2005–2016) was obtained from the deep unconfined aquifers. GIS-based water quality index (WQI) and entropy water quality index (EWQI) models were prepared using 15 water quality parameters pH (power of hydrogen), TDS (Total dissolve solids), EC (Electrical conductivity), TH (Total hardness), Ca2+ (Calcium), Mg2+ (Magnesium), Na+ (Sodium), K+ (Potassium), Cl− (Chloride), As (Arsenic), F (Fluoride), Fe (Iron), HCO3− (Bicarbonate), NO3− (Nitrate), and SO42− (Sulfate). The data analysis exhibits that 12% of the groundwater samples fell within the category of poor quality that helped to identify the permanent epicenters of deteriorating water quality index in the study area. As per the entropy theory, Fe, NO3−, K, F, SO42− and As, are the major physicochemical parameters those influence groundwater quality. The spatio-temporal analysis of the large data set revealed an extreme behavior in pH values along the Hudiara drain, and overall high arsenic concentration levels in most of the study area. The geochemical analysis shows that the groundwater chemistry is strongly influence by subsurface soil water interaction. The research highlights the significance of using GIS-based spatio-temporal and geostatistical tools to analyze the large data sets of physicochemical parameters at regional level for the detailed source characterization studies.

Evaluation of Water Quality in the Chillán River (Central Chile) Using Physicochemical Parameters and a Modified Water Quality Index

2005 ◽  
Vol 110 (1-3) ◽  
pp. 301-322 ◽  
Author(s):  
Patrick Debels ◽  
Ricardo Figueroa ◽  
Roberto Urrutia ◽  
Ricardo Barra ◽  
Xavier Niell
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Central Chile

scholarly journals Quality Assessment of Some Springs in the Awing Community, Northwest Cameroon, and Their Health Implications

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Nelson Alakeh Mofor ◽  
Estella Buleng Tamungang Njoyim ◽  
Antoine David Mvondo-Zé
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Pathogenic Bacteria ◽  
Poor Quality ◽  
High Rate ◽  
Natural State ◽  
Human Consumption ◽  
North West

Some springs in Awing, North West Cameroon, were assessed in order to ascertain their quality for human consumption. Achialum, Meupi, and Ala’amiti quarters in Awing depend on springs as the major source of drinking water and inhabitants consume it in its natural state without prior assessment and treatment. Water samples were collected from Achialum, Meupi, and Ala’amiti and analysed for organoleptic, physicochemical, and bacteriological parameters using standard methods. Results of organoleptic and physicochemical parameters showed that most of the parameters fell below WHO limits. Water quality index results, based on physicochemical parameters only, showed that Achialum and Ala’amiti springs were of good quality while Meupi spring was of poor quality. Water quality index may not carry enough information about the real quality situation since a single bad parameter value can give misleading information about the water quality. However, the bacteriological aspect revealed the presence of faecal coliforms and pathogenic bacteria in all the springs that justified the high rate of water borne diseases recorded in the area. This poor water quality could be associated to poor hygiene and farming practices. Thus, the population of Awing should implement home water treatment methods such as boiling, filtration, or chlorination before consumption.

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