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.

scholarly journals Priority Pollutants Monitoring and Water Quality Assessment in the Siret River Basin, Romania

Water ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 129
Author(s):  
Roxana Zait ◽  
Brindusa Sluser ◽  
Daniela Fighir ◽  
Oana Plavan ◽  
Carmen Teodosiu
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Surface Water ◽  
River Basin ◽  
Water Quality Index ◽  
Quality Index ◽  
Wastewater Treatment Plants ◽  
Surface Water Quality ◽  
Water Quality Monitoring ◽  
Priority Pollutants

The Integrated Water Resources Management regulations aim to ensure a good status of surface water quality and its sustainable use. Water quality monitoring of various water users supports the identification of pollution sources and their environmental impacts. The priority pollutants generated by wastewater discharges from municipal, industrial wastewater treatment plants or agricultural areas are of great interest due to their eco-toxicological effects and bio-accumulative properties. The aim of this study was to monitor the priority organic and inorganic pollutants from the Siret River basin, in Romania, with the purpose of assessing the surface water quality status and evaluating it by the Water Quality Index (WAWQI) method. The monitoring of inorganic priority pollutants (e.g., As, Cd, Hg, Ni, Pb) and organic priority pollutants (e.g., Naphthalene, Anthracene, Phenanthrene, Fluoranthene, Benzo(a)anthracene, Benzo(b)fluoranthene, Benzo(k)fluoranthene, Benzo(a)pyrene, Benzo(ghi)perylene, Indeno(1,2,3-cd)pyrene, α, β, and γ-Hexachlorocyclohexane, and Di-2-ethyl-hexyl-phthalate) was conducted within the Siret River basin, during the period 2015–2020. With this purpose, 21 sampling points (18 river sections and 3 lakes) were considered to assess the water quality. The results of this study proved that the water quality within the Siret River basin is generally classified in the 2nd or 3rd class. The spatial distribution of the water quality index values, using ARCGIS, also highlighted the fact that the water quality is mostly unsuitable for drinking water supplies, being influenced by the quality of its main tributaries, as well as by the effluent of wastewater treatment plants.

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 Water quality assessment based on multivariate statistics and water quality index of a strategic river in the Brazilian Atlantic Forest

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
David de Andrade Costa ◽  
José Paulo Soares de Azevedo ◽  
Marco Aurélio dos Santos ◽  
Rafaela dos Santos Facchetti Vinhaes Assump
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Network Optimization ◽  
Water Quality Index ◽  
Quality Index ◽  
Monitoring Network ◽  
Water Quality Assessment ◽  
Pollution Source ◽  
Components Analysis ◽  
Government Data

AbstractFifty-four water samples were collected between July and December 2019 at nine monitoring stations and fifteen parameters were analysed to provide an updated diagnosis of the Piabanha River water quality. Further, forty years of monitoring were analysed, including government data and previous research projects. A georeferenced database was also built containing water management data. The Water Quality Index from the National Sanitation Foundation (WQINSF) was calculated using two datasets and showed an improvement in overall water quality, despite still presenting systematic violations to Brazilian standards. Principal components analysis (PCA) showed the most contributing parameters to water quality and enabled its association with the main pollution sources identified in the geodatabase. PCA showed that sewage discharge is still the main pollution source. The cluster analysis (CA) made possible to recommend the monitoring network optimization, thereby enabling the expansion of the monitoring to other rivers. Finally, the diagnosis provided by this research establishes the first step towards the Framing of water resources according to their intended uses, as established by the Brazilian National Water Resources Policy.

scholarly journals Modification of the Water Quality Index (WQI) Process for Simple Calculation Using the Multi-Criteria Decision-Making (MCDM) Method: A Review

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 905
Author(s):  
Naseem Akhtar ◽  
Muhammad Izzuddin Syakir Ishak ◽  
Mardiana Idayu Ahmad ◽  
Khalid Umar ◽  
Mohamad Shaiful Md Yusuff ◽  
...  
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Assessment ◽  
Simple Calculation ◽  
Great Accuracy ◽  
Parameter Selection ◽  
Human Consumption ◽  
Multi Criteria Decision Making

Human activities continue to affect our water quality; it remains a major problem worldwide (particularly concerning freshwater and human consumption). A critical water quality index (WQI) method has been used to determine the overall water quality status of surface water and groundwater systems globally since the 1960s. WQI follows four steps: parameter selection, sub-indices, establishing weights, and final index aggregation, which are addressed in this review. However, the WQI method is a prolonged process and applied to specific water quality parameters, i.e., water consumption (particular area and time) and other purposes. Therefore, this review discusses the WQI method in simple steps, for water quality assessment, based on two multi-criteria decision-making (MCDM) methods: (1) analytical hierarchical process (AHP); and (2) measuring attractiveness by a categorically based evaluation technique (MACBETH). MCDM methods can facilitate easy calculations, with less effort and great accuracy. Moreover, the uncertainty and eclipsing problems are also discussed—a challenge at every step of WQI development, particularly for parameter selection and establishing weights. This review will help provide water management authorities with useful knowledge pertaining to water usage or modification of existing indicators globally, and contribute to future WQI planning and studies for drinking, irrigation, domestic, and industrial purposes.

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.

Sign in / Sign up

Export Citation Format

Share Document