Wszystkie pola: water quality index (WQI) - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A Multivariate Technique to Develop Hybrid Water Quality Index of the Bengawan Solo River, Indonesia
Autorzy:: Lusiana, Evellin Dewi
Mahmudi, Mohammad
Hutahaean, Sarah Mega
Darmawan, Arief
Buwono, Nanik Retno
Arsad, Sulastri
Musa, Muhammad
Powiązania:: https://bibliotekanauki.pl/articles/2026733.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: principal component analysis
WQI
water quality index
variable selection
water quality assessment
Opis:: Surface water resource, such as river, is constantly contaminated by domestic and industrial pollutants. In order to properly manage the water resource, a composite index for water quality assessment, such as water quality index (WQI), has been designed to monitor and evaluate the properties of surface water. However, this index is quite subjective in terms of determination of relative weights. A principal component analysis (PCA) can be used to reduce the dimension and subjectivity of water quality variables. The purpose of this study was to implement the use of hybrid PCA and WQI methods to assess and monitor the water quality of the Bengawan Solo River, which is located in Java Island, Indonesia. The result suggested that COD, BOD, TSS, TDS, nitrate, nitrite, and ammonia were the main factors that determine water quality of the Bengawan Solo River. Furthermore, it was revealed that most samples from the river showed water quality status as slightly polluted. In addition to this, the seasonal variation of the PCWI values indicated a significant increase of water pollution in the Bengawan Solo River per year.
Źródło:: Journal of Ecological Engineering; 2022, 23, 2; 123-131
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Water Quality Assessment of the Morava e Binçës River Based on the Physicochemical Parameters and Water Quality Index
Autorzy:: Musliu, M.
Bilalli, A.
Durmishi, B.
Ismaili, M.
Ibrahimi, H.
Powiązania:: https://bibliotekanauki.pl/articles/124003.pdf
Data publikacji:: 2018
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: physicochemical parameter
river waters
Water Quality
WQI
Morava e Binçës
Opis:: The quality of surface waters is being impacted by the anthropogenic and natural pollution, thus limiting the usage of this water for drinking, industry, agriculture, recreation and other purposes. The water quality indices are intended to provide a single value for the water quality of a source or a stream that reduces the large amount of parameters in a simpler expression and enables an easy interpretation of the monitoring data. During 2017, seventeen physicochemical parameters were measured in spring, summer, autumn and winter, in five locations along the Morava e Binçës River in Kosovo. For the assessment we employed the Water Quality Index (WQI) which uses the physicochemical parameters for the evaluation of the water quality. The findings of this study ascertain that MB1 station had the best quality with a value of WQI 88 and is classified in the Good Category, whereas the lowest quality of water was found on in MB4 station with a value of WQI 65 and it is thus classified in the Fair Category. Finally, the average WQI was calculated for the entire measurement period and it resulted in a value of 77.60 indicating that the Morava e Binçës River waters belong to the Fair Category.
Źródło:: Journal of Ecological Engineering; 2018, 19, 6; 104-112
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Water Quality Classification by Integration of Attribute-Realization and Support Vector Machine for the Chao Phraya River
Autorzy:: Sillberg, Chalisa Veesommai
Kullavanijaya, Pratin
Chavalparit, Orathai
Powiązania:: https://bibliotekanauki.pl/articles/1955579.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: environmental data analysis
machine learning
SVM
support vector machine
water quality index
WQI
Opis:: The water quality index (WQI) is an essential indicator to manage water usage properly. This study aimed at applying a machine learning-based approach integrating attribute-realization (AR) and support vector machine (SVM) algorithm to classify the Chao Phraya River’s water quality. The historical monitoring dataset during 2008-2019 including biological oxygen demand (BOD), conductivity (Cond), dissolved oxygen (DO), faecal coliform bacteria (FCB), total coliform bacteria (TCB), ammonia (NH3-N), nitrate (NO3-N), salinity (Sal), suspended solids (SS), total nitrogen (TN), total dissolved solids (TDS), and turbidity (Turb), were processed via four studied steps: data pre-processing by means substituting method, contributing parameter evaluation by recognition pattern study, examination of the mathematic functions for quality classification, and validation of obtained approach. The results showed that NH3-N, TCB, FCB, BOD, DO, and Sal were the main attributes contributing orderly to water quality classification with confidence values of 0.80, 0.79, 0.78, 0.76, 0.69, and 0.64, respectively. Linear regression was the most suitable function to river water data classification than Sigmoid, Radial basis and Polynomial. The different number of attributes and mathematic functions promoted the different classification performance and accuracy. The validation confirmed that AR-SVM was a potent approach application to classify river water’s quality with 0.86-0.95 accuracy when applied three to six attributes.
Źródło:: Journal of Ecological Engineering; 2021, 22, 9; 70-86
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Use of Quality and Organic Pollution Indices in The Physico-Chemical Quality Assessment of Kébir Wadi East Surface Waters (Region of El Taref, Extreme North East Algeria)
Autorzy:: Bahroun, Sofia
Nouri, Nada
Smida, Bouthaina
Powiązania:: https://bibliotekanauki.pl/articles/27314708.pdf
Data publikacji:: 2022
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: surface water
WQI
water quality index
OPI
organic pollution index
urban wastes
seasonal variation
North East Algeria
Kébir wadi East
wody powierzchniowe
wskaźnik jakości wody
wskaźnik zanieczyszczenia organicznego
odpady miejskie
Algieria Północno-Wschodnia
Opis:: Surface water is subject to strong anthropogenic pressures caused by the development and the extension of the agricultural activities and also by the industrial and domestic activities. Pollution is a major environmental problem due to discharges into rivers and the excessive use of agricultural fertilizers add to that the discharges from urban and industrial sources. The aim of this study is to assess the quality and the state of the organic pollution of surface water in the Kébir wadi east, based on the Water Quality Index (WQI) and the Organic Pollution Index (OPI) during six sampling campaigns carried out between April and September of the year 2011. Seven stations were studied along the Kébir wadi east downstream from the Mexa Dam. The results are visualized by the use of GIS through making thematic maps. They revealed that half of the stations show excellent to good water quality and moderated organic pollution except the stations S3, S6 and S4, that have poor water quality and high pollution at S3 and S6 respectively, and non-potable water with very high organic pollution at S4. The anthropogenic environmental deterioration recorded in the wadi is the result of the use of nitrogen and phosphate agricultural fertilizers and especially, the discharge of untreated domestic and industrial wastewater from neighbouring agglomerations. The seasonal variation remains discrete and reflects a slight tendency to the deterioration of the waters of El Tarf region during the low waters of the summer period.
Źródło:: Civil and Environmental Engineering Reports; 2022, 32, 1; 43--58
2080-5187
2450-8594
Pojawia się w:: Civil and Environmental Engineering Reports
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Application of Water Quality Index and Multivariate Statistical Techniques to Assess and Predict of Groundwater Quality with Aid of Geographic Information System
Autorzy:: Dawood, Ammar S.
Jabbar, Mushtak T.
Al-Tameemi, Hayfaa H.
Baer, Eric M.
Powiązania:: https://bibliotekanauki.pl/articles/2105290.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: cluster analysis
water quality
groundwater
factor analysis
WQI
GIS
multi-layer perceptron
Opis:: In this study, the groundwater quality and spatial distribution of the Basra province in the south of Iraq was assessed and mapped for drinking and irrigation purposes. Groundwater samples (n = 41) were collected from deep wells in the study area to demonstrate, estimate and model the Water Quality Index (WQI). The analysis of water samples integrated with GIS-based IDW technique was used to express the spatial variation in the study area with consideration of WQI. The physicochemical parameters, including pH, sodium (Na+), electrical conductivity (EC), chloride (Cl-), total dissolved solids (TDS), calcium (Ca2+), nitrate (NO3-), sulfate (SO42-), magnesium (Mg2+), and bicarbonate (HCO3-) were identified for groundwater quality assessment. The results of calculated WQI classify groundwater into three sorts. The results of WQI showed that 2.5%, 2.5% and 95% of the groundwater samples were classified as poor/very poor/unsuitable for drinking, respectively. The GIS tools integrated with statistical techniques are utilized for spatial distribution and description of water quality. Correlation analysis of groundwater data revealed that some parameters have actually a relationship that is strong with the other parameters and they share a common source of origin. Multivariate statistical techniques, especially cluster analysis (CA) and factor analysis (FA), were applied for the evaluation of spatial variations of forty-one selected groundwater samples. Cluster analysis confirmed that some different locations of wells have comparable sourced elements of water pollution, whereas factor analysis yielded three factors which are accountable for groundwater quality variations, clarifying more than 72% of the total variance of the data and permitted to group the preferred water quality. MultiLayer Perceptron (MLP) models were applied in modeling the water quality index. Comparing different result values of the MLP network suggested that the values of MSE and r for the selected model are 0.1940 and 0.9998, respectively. Finally, it can be revealed that the MLP network precisely predicted the output, i.e. the WQI values.
Źródło:: Journal of Ecological Engineering; 2022, 23, 6; 189--204
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Assessment Water Quality Indices of Surface Water for Drinking and Irrigation Applications – A Comparison Review
Autorzy:: Al Yousif, Mustafa A.
Chabuk, Ali
Powiązania:: https://bibliotekanauki.pl/articles/24201763.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: WQI
water quality index
drinking use
irrigation use
index
WQR
water quality rating
Opis:: Water is one of the most important natural resources for all living organisms, including humans. Water consumption is increasing over the years as a result of the increase in the number of people, and at the same time, the causes of pollution of surface water sources increase. Water pollution is one of the most important causes of diseases and the transmission of infection to the organisms that use it. Also, the quality of agricultural crops is linked to the quality of the water used for irrigation. As a result, there was a need to monitor and evaluate the main water sources to maintain the quality of their water suitable for use by humans and other organisms. As is well known, it is difficult to evaluate the water quality of large samples with concentrations of many parameters using traditional methods, which depend on comparing experimentally determined parameter values with current standards. As a result, over the past century and the present, many methods of assessing water quality have emerged. This research aims to introduce the most important indices of water quality used at present to assess the quality of surface water for drinking and irrigation purposes, as well as the history of these methods and their development over time and their most important advantages, in addition to a group of the most important research that used these methods during the past few years.
Źródło:: Journal of Ecological Engineering; 2023, 24, 5; 40--55
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: An assessment of water quality temporal variation in Sri Jayawardenapura Kotte canal, Sri Lanka
Autorzy:: Nishanthi, K.
Dushanan, R.
Mathanraj, S.
Priyadharshini, C.
Powiązania:: https://bibliotekanauki.pl/articles/1839859.pdf
Data publikacji:: 2021
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Water quality
WQI
COD
Weighted Arithmetic Index
Sri Jayawardenapura Kotte canal
Opis:: Assessment of temporal variation of the water quality is an essential aspect of evaluating temporary changes in a water body caused by natural or artificial contributions. The study aims to assess the water quality temporal variation and the water quality index over the year from 2010 to 2019. Water sampling was carried out near the bridge of the Kotte canal. Water quality parameters such as pH, electrical conductivity (EC), temperature, dissolved oxygen (DO), ammonia, nitrate, phosphate, and chemical oxygen demand (COD) were determined to assess the quality of water at different periods. It has been calculated based on the standard of the central environmental authority of Sri Lanka. The weighted arithmetic index method has been used to calculate the water quality index. The water quality index of the study area was recorded as good (33.60760) in 2010 and poor in 2013 (56.95663), 2016 (52.37269), and 2019 (69.04417). The study revealed that the water temperature in the canal fluctuates with the time and climate of the area. The EC of the water is registered within the reference range. However, pH, COD, DO, and ammonia are the main water parameters deviating from the reference range. It is observed that the leading causes of the deterioration of water quality are human activities, the illegal discharge of sewage and industrial wastewater, the lack of adequate sanitation facilities, and urban runoff.
Źródło:: World News of Natural Sciences; 2021, 38; 139-157
2543-5426
Pojawia się w:: World News of Natural Sciences
Dostawca treści:: Biblioteka Nauki

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