scholarly journals Evaluation of the Surface Water Quality in Bangladesh with an Introduction of Water Quality Index (WQI) and its Prediction from Limited Parameters

2021 ◽  
Author(s):  
Zayed Mallick ◽  
Rakib Bin Hossain ◽  
Fariha Tasannum Ayshi ◽  
Synthia Parveen Mallick
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Aquatic Environment ◽  
Quality Index ◽  
Good Condition ◽  
Surface Water Quality ◽  
Regulatory Enforcement ◽  
Run Off ◽  
Indexing System ◽  
Polluted Rivers

Healthy aquatic environment is crucial for preserving aquatic lives in surface waters. Increasing industrial or agricultural discharge or run-off can pollute water leading to unhealthy aquatic environment causing distress in fishes and other aquatic lives. In places with lack of infrastructure and regulatory enforcement, pollution can be particularly challenging to handle. Assignment of an indexing system can be helpful for analyzing pollution pattern in the polluted rivers which can be helpful for remediation purposes and prevention of future pollution. Bangladesh currently does not have any indexing system in place. Assignment of indices in the rivers of Bangladesh can be helpful for remediation of the rivers on a preferential basis as remediation of all the rivers at once will pose challenges with funding and infrastructural allocation. Parameters monitored in the water monitoring stations of ten rivers were extracted from the reports published by the Department of Environment (DOE) of Bangladesh. A water quality index (WQI) was assigned on the rivers across seven years of time period to identify the most polluted rivers. The degree of pollution in the river was in the order of Mayuri > Buriganga > Korotoa > Turag > Shitalakhya > Surma > Halda > Dhaleshwari > Mathavanga > Brahmaputra based on the WQI analysis. Among the ten rivers, only Mathavanga and Brahmaputra were in good condition. The most polluted rivers were located in areas with manufacturing, textile etc. industries. Hence, monitoring of industrial discharge intro the rivers and regulatory enforcement is crucial for the prevention of pollution in rivers. In addition to regulatory enforcement, adoption of remediation plans and implementation of them is also essential for remediation of the polluted rivers.

scholarly journals THE ASSESSMENT OF SURFACE WATER QUALITY IN THE LEPENC RIVER BASIN USING WATER QUALITY INDEX (WQI) METHODOLOGY

2018 ◽  
Vol 11 (2) ◽  
pp. 653-660 ◽  
Author(s):  
P. S.Bytyçi1 ◽  
H. S. Çadraku ◽  
F. N. Zhushi Etemi ◽  
M. A. Ismaili ◽  
O. B. Fetoshi ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality

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.

Evaluating the surface Water quality index fuzzy and its influence on water treatment

2019 ◽  
Vol 32 ◽  
pp. 100890 ◽  
Author(s):  
Mariângela Dutra de Oliveira ◽  
Oscar Luiz Teixeira de Rezende ◽  
Juliana Freitas Ramos de Fonseca ◽  
Marcelo Libânio
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality

scholarly journals Assessment of coastal surface water quality for irrigation purpose

2020 ◽  
Vol 15 (4) ◽  
pp. 960-972
Author(s):  
M. F. Serder ◽  
M. S. Islam ◽  
M. R. Hasan ◽  
M. S. Yeasmin ◽  
M. G. Mostafa
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Type ◽  
Post Monsoon ◽  
Irrigation Purpose

Abstract The study aimed to assess the coastal surface water quality for irrigation purposes through the analysis of the water samples of some selected estuaries, rivers, and ponds. The analysis results showed that the mean value of typical water quality parameters like electrical conductivity (EC), total dissolved solids (TDS), sodium (Na+), and chloride (Cl−) ions exceeded the permissible limit of the Department of Environment (DoE), Bangladesh 2010, and FAO, 1985 for the pre- and post-monsoon seasons. The Piper diagram indicated a Na-Cl water type, especially during the pre- and post-monsoon seasons. The water quality parameters in the areas showed a higher amount than the standard permissible limits, indicating that the quality is deteriorating. The water quality index values for domestic uses showed very poorly to unsuitable in most of the surface waters except pond water, especially during the pre- and post-monsoon periods. The surface water quality index for irrigation purpose usages was found to be high and/ or severely restricted (score: 0–55) during the pre- and post-monsoon seasons. The study observed that due to saline water intrusion, the water quality deterioration started from post-monsoon and reached its highest level during the pre-monsoon season, which gradually depreciates the water quality in coastal watersheds of Bangladesh.

scholarly journals The Effect of Physical and Chemical Parameters on the Presence of Lompa Fish (Thryssa baelama Forsskål) in the Apui Coastal Waters of Central Maluku District

2017 ◽  
Vol 19 (2) ◽  
pp. 61 ◽  
Author(s):  
Meillisa Carlen Mainassy
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Good Condition ◽  
Environmental Water ◽  
Coastal Areas ◽  
Chemical Parameters ◽  
Ex Post ◽  
Physical And Chemical Parameters ◽  
Physical And Chemical

Maluku is one of the archipelago province in Indonesia that has small pelagic fish resources with widespread distribution, such as lompa (Thryssa baelama Forsskål). One of lompa habitat in Mollucas is in Apui coastal areas. The presence of lompa depends on physical and chemical parameters in the waters. This study aims to determine the influence of physical and chemical parameters on the presence of lompa in Apui coastal area Central Mollucas. This study was conducted in June - July 2015. This research is ex-post facto using the value of Environmental Water Quality Index which refers to US-National Sanitation Foundation-Water Quality Index (NSF-WQI). Physical and chemical parameters measured include temperature, velocity, depth, brightness, salinity, pH and dissolved oxygen. The results of calculations with the Indeks Mutu Lingkungan Perairan (IMLP) are 95.61; 92,15; 88.61; 96,37; 93,76; 79.57. And the results of lompa fishing were 181, 162, 205, 173, 184, and 97 respectively. The research conclusion is that the Apui coastal areas are in good condition and potential as lompa habitat.

scholarly journals Water Quality Index (WQI) Approach to Evaluate the Water Quality of Certain Tank Waters of Tiptur Taluk in Tumkur District, Karnataka, India

2015 ◽  
Vol 10 (1) ◽  
pp. 189-198
Author(s):  
A Shivanna ◽  
G Nagendrappa
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Poor Quality ◽  
The Public ◽  
Run Off ◽  
Physico Chemical ◽  
Investigation Period ◽  
The Impact

Evaluation of water quality using different parameters is complex and not easy to understand as it is variable by variable discussion. Water quality index is a single value indicator used to evaluate and present the water quality to the public and the related management in precise and understandable manner. Measured values of eleven physico-chemical parameters namely, pH, TDS, TH, Cl-,NO3-,SO42-,HCO3-, Ca2+, Mg2+, Na+ and K+ were used to calculate WQI of six tanks in Tiptur taluk. The study was taken up to understand the impact of agriculture run off from the respective catchment area, domestic sewage input and human activities which contribute to pollution load. During the investigation period from December-2010 to November-2012, it was found that the overall water quality index of the studied tanks ranged from 46.72 to 92.22 indicating the quality ranging from good quality to very poor quality. Values of variables TDS, HCO3-, Na+ and K+exceeded their desirable limits of BIS/ICMR in Karadi, Halkurke and Honnavalli tanks which depend on rain water. Waters in these tanks were of moderately poor to very poor quality. Waters of Canal fed tanks were of good to moderately poor quality.

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