scholarly journals Evaluation of the performance of multiple water quality loading index systems for Sapgyo River / by Faizul Hasan.

2021 ◽  
Author(s):  
Faizul Hasan

To enhance the sustainability of [the] water-quality-management system, the modeling results of simulated pollutants are needed to translate into an understandable single unit water quality index to help decision-makers. QUAL2E model is helpful in translating the results of simulated pollutants into a single water quality rating unit termed as "QUAL2E water quality loading index (QUAL2I)". This approach is adopted to evaluate the performance of National Sanitation Foundation’s Water Quality Index (NSFWQI) and Canadian Council of Ministers of the Environment’s Water Quality Index (CCMEWQI) using data set of Sapgyo River. CCMEWQI results are found better, especially for meeting the desired quality objectives. Additionally, a decision-making process has been suggested based on better found QWQLI result to maintain the whole river channel at acceptable water quality standards. The study results imply that further study should be carried out using [a] minimum [of] four variables, each having at least four test samples to compute QWQLI using CCMEWQI approach.

2021 ◽  
Author(s):  
Faizul Hasan

To enhance the sustainability of [the] water-quality-management system, the modeling results of simulated pollutants are needed to translate into an understandable single unit water quality index to help decision-makers. QUAL2E model is helpful in translating the results of simulated pollutants into a single water quality rating unit termed as "QUAL2E water quality loading index (QUAL2I)". This approach is adopted to evaluate the performance of National Sanitation Foundation’s Water Quality Index (NSFWQI) and Canadian Council of Ministers of the Environment’s Water Quality Index (CCMEWQI) using data set of Sapgyo River. CCMEWQI results are found better, especially for meeting the desired quality objectives. Additionally, a decision-making process has been suggested based on better found QWQLI result to maintain the whole river channel at acceptable water quality standards. The study results imply that further study should be carried out using [a] minimum [of] four variables, each having at least four test samples to compute QWQLI using CCMEWQI approach.


2019 ◽  
pp. 2550-2560
Author(s):  
Nihal Suhail Hanna ◽  
Yahya Ahmed Shekha ◽  
Luay Abdul-Qader Ali

The population of Ephemeroptera was studied in three selected stations of Rawanduz River (Gali Ali Beg water fall, Rawanduz River and after the junction of these two waters) during the three seasons of spring, summer and autumn in 2016. In addition,sixteen physicochemical parameters (pH, EC, turbidity, DO, BOD5, NO3, TDN, TDP, HCO3-, Hardness, Ca2+, Mg2+, Na+, K+, Cl-, SO42-, Na% and SAR) of water in these stations were estimated and used to calculate the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI). Eleven species of aquatic insects were identified,which belong to four families of the order Ephemeroptera. Three of the studied species are described for the first time. According to water quality index, the water was ranked as poor for drinking and marginal for irrigation purposes.


Author(s):  
Karla Lorrane de Oliveira ◽  
Ramatisa Ladeia Ramos ◽  
Sílvia Corrêa Oliveira ◽  
Cristiano Christofaro

Abstract The water spatio-temporal variability of the Irapé Hydroelectric Power Plant reservoir and its main tributaries was evaluated by analysing the temporal trend of the main parameters and applying the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI), considering data from 2008 to 2018. This reservoir is in Minas Gerais, Brazil, covering an area of approximately 142 km2, across seven municipalities. The dissolved iron (DFe) presented the highest percentage of standard violations (31.7% to 80.5%), with most frequencies being verified in the reservoir tributaries. The Mann–Kendall test indicated that the monitoring stations showed an increasing trend of 78.5% N–NH4+ and 64.1% DFe. During the evaluated period, the reservoir waters were classified as excellent (1.2%), good (61.3%), acceptable (29.5%), and poor (8.0%) according to the WQI for the proposed use. The poorest quality classes were more frequent in the tributaries, especially in the year 2009. The WQI seasonal assessment indicated a worsening during the rainy period in 57% of the stations, as a result of external material transport to the water bodies. The CCME WQI, in conjunction with temporal statistical analysis, contributed to the monitoring data interpretation, generating important information for reservoir water quality management.


The study assesses groundwater quality characteristics in Al’am District which is a part of Salah al-Din Governorate, by use of the Canadian Council of Ministers of the Environment Water Quality Index (CCMEWQI). The samples were taken from six groundwater wells for the assessment and sampling was done at six months per year. Based on CCMEWQI calculated values, the six wells from which the samples collected were in poor rank for drinking purpose. The prime causes of deterioration groundwater quality are total dissolved solids (TDS), and total hardness (TH). This study suggested further improvement and continuous monitoring for the groundwater in the study area to provide safe drinking water


2022 ◽  
Vol 12 (3) ◽  
pp. 45-55
Author(s):  
Rumman Mowla Chowdhury ◽  
Adib Ashhab Ankon ◽  
Md Kamruzzaman Bhuiyan

The present investigation is aimed at understanding the water quality parameters and the findings of a water quality index (WQI) to assess the characteristics of the Shitalakshya River near Haripur power station, Narayanganj for five different years (2013-2018) considering monsoon, pre-monsoon, post-monsoon seasonal variations. In this study, three different methods were used to evaluate the WQI named as; Weighted Arithmetic Index Method, Canadian Council of Ministers of the Environment (CCME) WQI Method and National Sanitation Foundation (NSF) Method. Essential parameters i.e. dissolved oxygen, pH, chloride, turbidity, color, biochemical oxygen demand, total dissolved solids, Silica, Iron, electrical conductivity, Phosphate were considered for calculating the WQI. According to Weighted Arithmetic Index Method, the WQI value varied from 80 to 286 for the last five years. From the National Sanitation Foundation Method, the WQI value was found within 36 to 56 for the study duration. The WQI value was varied from 3 to 16 according to the Canadian Council of Ministers of the Environment Water Quality Index Method. Based on WQI values, the Shitalakhya river water was being classified as poor water for the above-mentioned different years. Among the different parameters, mostly turbidity, electrical conductivity, TSS, Iron were the parameters that caused the situation worst. Journal of Engineering Science 12(3), 2021, 45-55


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