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Wyszukujesz frazę "water quality index (WQI)" wg kryterium: Temat


Wyświetlanie 1-4 z 4
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
Artykuł
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
Artykuł
Tytuł:
Analysis of Surface Water Quality of Four Rivers in Jayapura Regency, Indonesia: CCME-WQI Approach
Autorzy:
Tanjung, Rosye Hefmi Rechnelty
Yonas, Marcelino Novryanto
Suwito, -
Maury, Hendra Kurniawan
Sarungu, Yulius
Hamuna, Baigo
Powiązania:
https://bibliotekanauki.pl/articles/2025813.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
CCME-WQI
water quality index
physicochemical
heavy metal
microbiological
Jayapura Regency
Opis:
In Indonesia, the river water quality has been determined based on Government Regulation of the Republic of Indonesia No. 22 of 2021. This study aimed to determine the quality of surface water from the Damsari, Jabawi, Kleblow, and Komba Rivers in Jayapura Regency based on the monitoring data from 2016 to 2019. The CCME-WQI method is used to determine the status of rivers based on river water quality standards (class 1 to class 4). The results of the study showed that the parameters of water temperature, TDS, pH, $NH_3, NO_3^-, SO_4^-2$, surfactant, oil/grease, Cr-(IV), Mn, Fe, Fecal Coliform, and Total Coliform were still in accordance with the quality standard. Meanwhile, TSS, COD, BOD, Total Phosphate, Hg, and Ni have exceeded the water quality standard, where the dominant pollutant source is an anthropogenic waste. On the basis of the WQI average value, the four rivers are not suitable as a source of drinking water (Poor-Marginal; 41.33 – 58.25). The Jabawi River can be used as a recreational facility, but it must be under special management (Fair; 69.75), while the other three rivers are not suitable (Marginal; 52.00 – 61.67). The Jabawi and Komba Rivers are in the Fair category (75.50 and 69.33) to support aquatic life, while the Damsari and Kleblow Rivers are in the Marginal category (59.00 and 61.25). The water quality of the four rivers is very good and suitable to be used as a water source for irrigation (Good category; 80.00 – 88.00). The strategies for controlling river water pollution and increasing the role of the government, stakeholders, and the community are needed.
Źródło:
Journal of Ecological Engineering; 2022, 23, 1; 73-82
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
    Wyświetlanie 1-4 z 4

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