THE POLLUTION INDEX, A NEW TECHNICAL TOOL IN WATER QUALITY ASSESSMENT

2004 ◽  
Vol 3 (1) ◽  
pp. 19-28
Author(s):  
Mihai Nicu ◽  
Marcel Perjoiu
2017 ◽  
Vol 43 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Md Shafiqul Islam ◽  
Ali Akbar ◽  
Aysha Akhtar ◽  
Md Manzoorul Kibria ◽  
Md Simul Bhuyan

In the present study water quality assessment and land based sources of pollutants discharged into the Halda River through four major canals were investigated. The ranges of pH, DO, BOD, NO3-N, PO4-P, chloride and total alkalinity of the collected samples varied from 7.1-8.8, 3.35-4.70 mg/L, 0.055-5.0 mg/L, 0.12-3.1 mg/L, 0.06-0.16 mg/L, 8.4-69.30 mg/L and 73-220 mg/L, respectively. pH, DO, BOD showed significant changes at Mondakini Canal and Chengkhali Canal for monsoon, post-monsoon and winter (p <0.05) while chloride at Chengkali Canal for all seasons (p≤0.05). Moreover, TA, NO3-N and PO4-P exhibited significant variation in the concentration at Mondakini Canal, Madari Canal and Chengkali Canal for three seasons (p ≤0.05). River Pollution Index indicated that the water of river at Mondakini Canal, Madari Canal, Chengkhali Canal and Khondakia Canal varied from low to moderate pollution. According to the interviewers, the Halda River is being polluted due to industrial waste (53%), sewage contamination (20%), tobacco farming (13%), rubber dam (8%) and sand extraction (6%). Therefore, necessary preventive measures should be taken in order to control the unwise and unauthorized discharge of harmful pollutants into the Halda River for the better management and conservation of natural resources. Asiat. Soc. Bangladesh, Sci. 43(1): 61-70, June 2017


2011 ◽  
Vol 62 (10) ◽  
pp. 2220-2229 ◽  
Author(s):  
Shuguang Liu ◽  
Sha Lou ◽  
Cuiping Kuang ◽  
Wenrui Huang ◽  
Wujun Chen ◽  
...  

2021 ◽  
Vol 877 (1) ◽  
pp. 012008
Author(s):  
R Mohammed ◽  
B Al-Obaidi

Abstract Assessing water quality provides a scientific foundation for the development and management of water resources. The objective of the research is to evaluate the impact treated effluent from North Rustumiyia wastewater treatment plant (WWTP) on the quality of Diyala river. The model of the artificial neural network (ANN) and factor analysis (FA) based on Nemerow pollution index (NPI). To define important water quality parameters for North Al-Rustumiyia for the line(F2), the Nemerow Pollution Index was introduced. The most important parameters of assessment of water variation quality of wastewater were the parameter used in the model: biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspension solids (SS), chloride, cl, hydrogen ion concentration, pH, sulfate, SO4-2, nitrate, NO3- and phosphate, PO4-3. Taking these criteria into account, samples of water from the sampling sites were graded as C, indicating the pollutant of the waste treatment. Then the water quality map using neural network model was based on the results of water quality assessment. The results showed that the model North Al-Rustumiyia for line F2 was more efficient and R2 was 0.965 with the impotence parameter was chloride (CL).


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Sheng Bi ◽  
Li Wang ◽  
Yongrong Li ◽  
Zhenping Zhang ◽  
Zhimian Wang ◽  
...  

Water quality is a significant issue, and its assessment plays an important role in environmental management and pollution control. In this paper, we proposed a comprehensive water quality assessment method which takes into account both absolute and temporal trends in water quality. As the first step, we derived and applied a comprehensive pollution index (CPI) to characterize water pollution in 16 major tributaries to the Danjiangkou Reservoir, located in the upper reaches of the Hanjiang River in China. Next, we used Spearman’s rank correlation analysis to quantify temporal CPI trends in each tributary. As the final step, we conducted principal component analysis (PCA) using data on 8 water quality parameters and the temporal CPI trend from each of the 16 tributaries. The resultant comprehensive water quality assessment method identified tributaries, which stand to improve and threaten water quality in the Danjiangkou Reservoir from both immediate and future perspectives.


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