scholarly journals Analysis of the water quality index of the Escalera river applying the ICA-PE methodology in the periods 2015-2018

TAYACAJA ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 40-46
Author(s):  
Adiel Alvarez Ticllasuca ◽  
Fernando Martin Toribio Román ◽  
Margaret Rosmery Hilario Quispe ◽  
Lizeth Mamani Torres ◽  
Gianmarco Garcia Curo ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Anthropogenic Activities ◽  
Documentary Analysis ◽  
A Value ◽  
Quality Of Water ◽  
Lead And Zinc ◽  
Iron Manganese

The objective of the research was to apply the methodology for the determination of the ICA-PE water quality index in the Escalera river of the Huachocolpa district in the periods of 2015 and 2018, the samplings carried out were given 2 points (REsca1 and REsca2), For data collection, it was based on mathematical simulation, documentary analysis and registration, at the sampling points the concentrations of aluminum, arsenic, cadmium, copper, iron, manganese, lead and zinc were determined, these parameters exceeded the environmental quality standards. Water (ECA-AGUA) was later categorized according to the ICA-PE water quality index, of which for 2015 it was of good quality obtaining a value of 73.14 and for 2018 its quality decreased to regular reaching a value of 61.85 . The results obtained show that the quality of water is decreasing in its path that runs through the Escalera river, due to the different anthropogenic activities that take place around it, altering its quality and reducing its capacity for self-purification.

scholarly journals Entropy - System Approach to Assess the Ecological Status of Reservoirs in Armenia

2019 ◽  
Author(s):  
Gevorg Simonyan ◽  
Gevorg Pirumyan
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Maximum Permissible Concentration ◽  
Ecological Status ◽  
Quality Of Water ◽  
Index Index ◽  
Canadian Water Quality Index

In this article, the quality of water in the reservoirs of Lake Arpi, Lake Yerevan, Akhuryan, Azat, Aparan and Kechut was estimated with usage of the Armenian Water Quality Index. It was established that in the waters of reservoirs the the maximum permissible concentration of copper, vanadium, aluminum, chromium, manganese, iron, NH4+ and NO2- regularly increases. The following computational algorithm was used for determination of the Armenian Water Quality Index values: to determine the number of cases of MPC excess of i-substance or indicator of water –n; to estimate the total amount of cases of the maximum permissible concentration (N) – N = ∑n; to computes log2N, nlog2n and ∑nlog2n; to determine geoecological syntropy (I) and entropy (H): I = ∑ nlog2n/N and H = log2N – I. Then, Geo-Ecological Evolving Organized index index was determined: G = H/I. Further, the total amount multiplicity of MAC exceedances was estimated: (M) - M=∑m and log2M was computed. Finally, Armenian Water Quality Index was obtained: AWQI = G + 0.1log2M. It was established that the Armenian Water Qquality Index showed a linear dependence on the Water Contamination Index, the Specific Combinatory Water Quality Index, the Geo-Ecological Evolving Organized index and an inverse dependence on the Canadian Water Quality Index.

scholarly journals Groundwater quality assessment using water quality index (WQI) under GIS framework

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Arjun Ram ◽  
S. K. Tiwari ◽  
H. K. Pandey ◽  
Abhishek Kumar Chaurasia ◽  
Supriya Singh ◽  
...  
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Uttar Pradesh ◽  
Granite Gneiss ◽  
Total Hardness ◽  
Human Consumption ◽  
Anthropogenic Contamination ◽  
Quality Of Water

AbstractGroundwater is an important source for drinking water supply in hard rock terrain of Bundelkhand massif particularly in District Mahoba, Uttar Pradesh, India. An attempt has been made in this work to understand the suitability of groundwater for human consumption. The parameters like pH, electrical conductivity, total dissolved solids, alkalinity, total hardness, calcium, magnesium, sodium, potassium, bicarbonate, sulfate, chloride, fluoride, nitrate, copper, manganese, silver, zinc, iron and nickel were analysed to estimate the groundwater quality. The water quality index (WQI) has been applied to categorize the water quality viz: excellent, good, poor, etc. which is quite useful to infer the quality of water to the people and policy makers in the concerned area. The WQI in the study area ranges from 4.75 to 115.93. The overall WQI in the study area indicates that the groundwater is safe and potable except few localized pockets in Charkhari and Jaitpur Blocks. The Hill-Piper Trilinear diagram reveals that the groundwater of the study area falls under Na+-Cl−, mixed Ca2+-Mg2+-Cl− and Ca2+-$${\text{HCO}}_{3}^{ - }$$ HCO 3 - types. The granite-gneiss contains orthoclase feldspar and biotite minerals which after weathering yields bicarbonate and chloride rich groundwater. The correlation matrix has been created and analysed to observe their significant impetus on the assessment of groundwater quality. The current study suggests that the groundwater of the area under deteriorated water quality needs treatment before consumption and also to be protected from the perils of geogenic/anthropogenic contamination.

scholarly journals Assessment of Water Quality Index for the Groundwater in Tumkur Taluk, Karnataka State, India

2009 ◽  
Vol 6 (2) ◽  
pp. 523-530 ◽  
Author(s):  
C. R. Ramakrishnaiah ◽  
C. Sadashivaiah ◽  
G. Ranganna
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Total Dissolved Solids ◽  
Physicochemical Analysis ◽  
Total Hardness ◽  
Dissolved Solids ◽  
Groundwater Samples ◽  
Calcium Magnesium ◽  
Iron Manganese

The present work is aimed at assessing the water quality index (WQI) for the groundwater of Tumkur taluk. This has been determined by collecting groundwater samples and subjecting the samples to a comprehensive physicochemical analysis. For calculating the WQI, the following 12 parameters have been considered: pH, total hardness, calcium, magnesium, bicarbonate, chloride, nitrate, sulphate, total dissolved solids, iron, manganese and fluorides. The WQI for these samples ranges from 89.21 to 660.56. The high value of WQI has been found to be mainly from the higher values of iron, nitrate, total dissolved solids, hardness, fluorides, bicarbonate and manganese in the groundwater. The results of analyses have been used to suggest models for predicting water quality. The analysis reveals that the groundwater of the area needs some degree of treatment before consumption, and it also needs to be protected from the perils of contamination

scholarly journals 2008–2017 Bogota River Water Quality Assessment based on the Water Quality Index

2019 ◽  
Vol 11 (6) ◽  
pp. 1668 ◽  
Author(s):  
Daissy Milena Díaz-Casallas ◽  
Mario Fernando Castro-Fernández ◽  
Elvira Bocos ◽  
Carlos Enrique Montenegro-Marin ◽  
Rubén González Crespo
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Water Quality Index ◽  
Quality Index ◽  
Wastewater Treatment Plants ◽  
Ecological Status ◽  
Monitoring And Evaluation ◽  
Water Quality Assessment ◽  
Sampling Station ◽  
Quality Of Water

This article provides a deep analysis of the water quality at the upper basin of the Bogota River (Colombia) between 2008 and 2017. The Water Quality Index has been the indicator employed to determine the ecological status of the river. This index was chosen in order to normalize the analysis, given that it is commonly used by the Institute of Hydrology, Meteorology and Environmental Studies, a government agency of the Ministry of Environment and Sustainable Development of Colombia, to determine the state of surface effluents. The results obtained were organized in a double-entry matrix in order to relate the variables of the sample period and the sampling station. The research revealed an insufficient quality of water, demonstrating that the high stretch of the Bogota River basin has, in general, regular or acceptable water quality, while only five stations showed an acceptable status. Surprisingly, the stations located close to the wastewater treatment plants of the municipalities of Choconta, Suesca, Gachancipa, and Tocancipa, as well as Rio Negro, have a poor water quality, discharging a high load of contaminants into the river. Although great efforts have been made by Colombian authorities to restore the critical state of the majority of their aquatic ecosystems, recent implementation of policies and instruments have not shown significant achievements yet. For this reason, this study aims to present a powerful decision-tool for the monitoring and evaluation of correction measures implemented on this river basin. The data used in this research were provided by the Regional Autonomous Corporation of Cundinamarca.

Determination of water quality index for ground water near municipal dump site in Guntur

2020 ◽  
Vol 33 ◽  
pp. 724-727
Author(s):  
Sowmya Munagala ◽  
Durga Chaitanya Kumar Jagarapu ◽  
Ratnamala Reddy B.S.S.
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Dump Site

scholarly journals Assessment of Water Quality of Okomu Wetland Using Water Quality Index

2020 ◽  
Vol 4 (2) ◽  
pp. 450-457
Author(s):  
S. I. Ehiorobo ◽  
A. E. Ogbeibu
Keyword(s):  
Water Quality ◽  
Water Body ◽  
Water Quality Index ◽  
Quality Index ◽  
Anthropogenic Activities ◽  
Physicochemical Characteristics ◽  
Poor Quality ◽  
Quality Data ◽  
Water Quality Data

The water quality of the Okomu Wetland was evaluated using the Water Quality Index (WQI) technique which provides a number that expresses overall water quality of a water body or water sample at a particular time. Sampling of physicochemical parameters spanned two years covering the wet and dry seasons and the water quality data were obtained from 10 sampling locations; Ponds 36, 52, 54, 61, 64, 90, 94, Arhakhuan Stream, Okomu River (Agekpukpu) and Okomu River (Iron bridge) all within the Okomu National Park. Parameters such as Total Dissolved Solids (TDS), Turbidity, pH, Electrical conductivity (EC), Chlorine (Cl), Nitrate (NO3), Sulphate (SO4), Sodium (Na), Magnesium (Mg), (Iron) Fe, Chromium (Cr), Zinc (Zn), Copper (Cu), Manganese (Mn), Lead (Pb), and Nikel (Ni) were used to compute WQI and the values obtained for the wetland ranged between 34.36 and 167.28. The Index shows that pond 36, 52 and 54 are unfit for drinking with values between 103.86 and 167.28; ponds 61 and 64 are of the very poor quality category with WQI values of 95.19 and 92.44 respectively, Pond 90, pond 94, Arhakhuan Stream and Okomu River (Agekpukpu) are of poor quality and WQI values between and 53.58 and 73.15. Whereas, the Okomu River (Iron bridge) is within the good water quality (34.36) category. The Okomu River by Iron bridge is of good quality rating while other sampled points were of poor, very poor or unfit for drinking though these water bodies are mostly free from anthropogenic activities because of the conservative status of the study area. A major source of pollution within the wetland is surface runoff. The water quality of the wetland may not be suitable for man’s consumption especially pond water which are majorly impacted by runoff, yet very important for the survival and sustenance of the forest animals and plants. The water quality index (WQI) interprets physicochemical characteristics of water by providing a value which expresses the overall water quality and thus, reveals possible pollution problems of a water body. It turns complex water quality data into information that is easily understandable and usable by scientists, researchers and the general public.

scholarly journals Water Quality Index Score in River Water Treatment Plant at Upper Klang and Gombak River Catchment

2019 ◽  
Vol 8 (4) ◽  
pp. 6462-6467
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Anthropogenic Activities ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Class Iii ◽  
Target Class ◽  
River Catchment

National River Water Plants are located along upper Klang and Gombak river catchment to purify the polluted river using direct contact methods. As the current water quality situation in the study area is poor due to the contribution of anthropogenic activities on the water quality degradation in these urban rivers, the investigation was performed using the Water Quality Index. This paper gives the overall performance of RWTP using Water Quality Index (WQI) calculation methods. The WQI act as the basis of environment assessment towards to river water quality classification under Malaysia National Water Quality Standards. As an overall result, 57 percent from the total effluents achieve target Class II and above and another 43 percent achieve Class III and below regardless of two (2) RWTPs are under target from the average monitoring; RWTP Sg Gisir and RWTP Sg Sentul. However, the result for RWTP Sg Sentul is not yet conclusive since the monitoring duration is less than 2 years. Certainly, RWTP Sg Gisir needs to be taken into consideration for more frequent maintenance of the RWTP or upgrading of the RWTP oxidation tank as suggested in several MBBR/IFAS operation. As to improve the RWTP performance to score higher WQI, the introduction of recycling sludge in the biological tank so it will be a shorter reaction time. Additionally, the RWTP owner should implement a frequent maintenance work into RWTP component especially clarifier, sludge collector, biological oxidation tank and rubbish trap collector.

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