scholarly journals Assessing Water Quality of Siheung Stream in Shihwa Industrial Complex Using Both Principal Component Analysis and Multi-Dimensional Scaling Analysis of Korean Water Quality Index and Microbial Community Data

2009 ◽  
Vol 35 (6) ◽  
pp. 517-525
Author(s):  
Kyeong-Jin Seo ◽  
Ju-Mi Kim ◽  
Min-Jung Kim ◽  
Seong-Keun Kim ◽  
Ji-Eun Lee ◽  
...  
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Quality Index ◽  
Principal Component ◽  
Scaling Analysis ◽  
Industrial Complex ◽  
Dimensional Scaling ◽  
Community Data ◽  
Multi Dimensional Scaling

Assessment of Aquatic Ecological Health: A Case Study of Lake Rewalsar, Himachal Pradesh

2020 ◽  
Vol 7 (01) ◽  
Author(s):  
RAMA KUMARI ◽  
PARMANAND KUMAR
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Water Quality Index ◽  
Quality Index ◽  
Management Strategies ◽  
Oxygen Demand ◽  
Principal Component ◽  
Component Analysis ◽  
Different Seasons

The present study was conducted for two years to analyze the water quality of the sacred lake Rewalsar. Water quality of different seasons was evaluated by water quality index. Various statistical techniques, such as correlation, principal component analysis were applied. Based on Water Quality Index, water quality of the lake was in the range of 33-80 in different seasons. Cluster analysis of similarity indicates the relationship intensity between the seasons as cluster ranged 80-100% during the study period. In the principal component analysis maximum variables (Conductivity, Alkalinity, Biochemical Oxygen Demand, Nitrates, Phosphates, and Chloride) shows maximum influence during the summer and monsoon. The outcome revealed that the major driving factors of water quality deterioration are the runoff of effluent from the domestic area and offering food materials to the fishes. So, it is necessary to implement effective management strategies for the conservation of the Rewalsarlake.

The Establishment of Principal Component Analysis Assessment Model for Drinking Water Quality of City Resource

2014 ◽  
Vol 675-677 ◽  
pp. 960-963
Author(s):  
Li Feng Sun ◽  
Qing Jie Qi ◽  
Xiao Liang Zhao ◽  
Rui Feng Li
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Drinking Water ◽  
Water Resources ◽  
Principal Component ◽  
Water Source ◽  
Component Analysis ◽  
Assessment Model ◽  
Affecting Factors

In order to effectively control pollution of sources of drinking water, improve the environmental quality of drinking water and guarantee the sanitation of drinking water, it is very important to assess water source quality. Main factors of drinking water were identified. Then principal component analysis was used to establish assessment model of drinking water, which could ensure that under the condition that the primitive data information was in the smallest loss, a small number of variables were used to replace the integrated multi-dimensional variables to simplify the data structure. The weightings of principal component were determinated as theirs pollution ratios. This paper was based on the theoretical study of principal component analysis, used the monitoring data on water quality of the main water resources in 2013 to evaluate and analyze the water quality of water resources. Analysis content included the main affecting factors, cause of pollution and the degree of pollution.The resulted showed that: the main affecting factors on water quality of Fo Si water source was CODMn, TP, fluoride.

scholarly journals Using the Dermatology Life Quality Index to Assess How Breast Radiodermatitis Affects Patients’ Quality of Life

2019 ◽  
Vol 13 ◽  
pp. 117822341983554 ◽  
Author(s):  
Laura Curr Beamer ◽  
Marcia Grant
Keyword(s):  
Quality Of Life ◽  
Principal Component Analysis ◽  
Internal Consistency ◽  
Dermatology Life Quality Index ◽  
Quality Index ◽  
Life Quality ◽  
Principal Component ◽  
Component Analysis ◽  
Life Quality Index

Purpose: The purpose of this study is to report the initial validation process for using the Dermatology Life Quality Index (DLQI) for radiodermatitis of the breast. Methods: This is an additional analysis of a study designed to report a longitudinal study in skin-related and global quality of life in women with breast radiodermatitis. A total of 40 participants completed the DLQI instrument weekly while receiving external radiotherapy of the female breast. At week 5 on treatment, 31 (78%) participants provided narrative feedback on how each DLQI item affected her life. Agreement between participant DLQI numerical ratings and narrative feedback on items was assessed. Construct validity was estimated using principal component analysis (PCA). Internal consistency of the DLQI was assessed using Cronbach alpha. Results: Percentage of agreement between participant DLQI ratings and narratives ranged from 71% to 98%. Each participant responded “no” to the work and study item leading to zero variance and removal from our analyses. Principal component analysis supported the inclusion of all of the remaining items. The DLQI with nine remaining items demonstrated moderately good internal consistency (α = .69). Conclusions: The results of our examination of the DLQI when used for breast radiodermatitis are promising. Next steps include additional larger studies among more diverse populations.

scholarly journals Multivariate Analysis to Assess the Quality of Irrigation Water in a Semi-Arid Region of North West of Algeria : Case of Ghrib Dam

2021 ◽  
Author(s):  
FAIZA HALLOUZ ◽  
Mohamed Meddi ◽  
Salaheddine Ali Rahmani
Keyword(s):  
Water Quality ◽  
Irrigation Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Principal Component ◽  
Sodium Absorption ◽  
Irrigation Water Quality ◽  
North West ◽  
Irrigation Water Quality Index

Abstract Dams are critical to agriculture, industry, and the needs of humans and wildlife. This study evaluates the water quality of the Ghrib dam in north west of Algeria, using Irrigation Water Quality Index (IWQI), sodium absorption rates (SAR) and multivariate statistical methods (Clustering and principal component analysis). The study concerns the analysis of physical and chemical parameters (pH, EC, O2, TUR, Ca, Mg, HCO3, Na, K, BOD, DCO, Cl−, PO4, SO3. NH4 et NO3) which were measured at twelve selected points along the dam over 8 periods (dry and wet periods) using standard methods. Irrigation Water Quality Index values in the dam were found to be between 41 and 59, according to classifications for different water uses, values below 60 indicate that water is of poor quality for irrigation and treatment is recommended to make dam water more suitable for irrigation. The results of water analysis in our study area reveal the presence of acute pollution which is certainly caused by direct releases of either industrial or domestic origin, and we note that this pollution remains variable depending on the collection periods. Also, Chloride-calcium and sulfate facies are the most dominant in sampling periods for dam water, resulting in poor water quality for irrigation. In addition, water is, therefore, highly mineralized and is likely to be suitable for irrigation of certain species (cucumbers...) that are well tolerant to salt and on well-drained and leached soils.

scholarly journals Water quality index and hydrogeochemistry of Otukpo area, Benue State, North Central Nigeria

2021 ◽  
Vol 6 (1) ◽  
pp. 4-14
Author(s):  
Buba Apagu Ankidawa ◽  
Ujah Linus Sunday ◽  
Ibrahim Vanke
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Principal Component ◽  
Component Analysis ◽  
Research Area ◽  
Water Type ◽  
Surface And Groundwater

The research is aimed to assess the surface and groundwater quality in Otukpo area and environs, Benue State, North Eastern Nigeria. Sixteen water samples were collected from 7 boreholes, 7 hand duck wells and 2 rivers. The water samples were analysed chemically and bacteriologically using spectrophotometric, titrimetric and membrane filtration methods. Analytical results indicated that the groundwater in the area is acidic, fresh and moderately hard. The order of abundance of the cations were in Na+<K+<Mg2+<Ca2+ while the anions were in the order of Cl-<HCO3->SO42-<NO3-. Principal Component Analysis (PCA) identified four factors that accounts for 69.73% of the total variance. Correlation analysis, Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) revealed pollution from application of agricultural fertilizers, anthropogenic contamination and rock-water interaction as the major processes responsible for the modification of surface and groundwater chemistry of the research area. The Gibbs diagram plot shows that, the sample points fall under rock dominance and weathering zones, which suggested precipitation, induced chemical weathering with the dissolution of rock-forming minerals. The piper diagram classified groundwater samples as Ca-Mg-HCO3 water type. Water Quality Index (WQI) values range from 22.05 to 56.13 which indicated good and excellent water category. The SAR values range from 0.02 to 0.66 the values belong to the excellent category and is suitable for irrigation. The overall result revealed that, the water in the research area is suitable for domestic, industrial and irrigation activities.

scholarly journals Water quality assessment of an urban river receiving tail water using the single-factor index and principal component analysis

2018 ◽  
Vol 19 (2) ◽  
pp. 603-609 ◽  
Author(s):  
Weiwei Lu ◽  
Juan Wu ◽  
Zhu Li ◽  
Naxin Cui ◽  
Shuiping Cheng
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Urban River ◽  
Single Factor ◽  
Sampling Points ◽  
Factor Index ◽  
Tail Water

Abstract Tail water from wastewater treatment plants (WWTP) serves as a major supplementary water source for scenic water bodies, whose water quality is one of the major focuses of public and scientific inquiries. This study investigated the temporal and spatial variations in water quality of Tangxihe River, a eutrophic urban river receiving tail water from a nearby WWTP in Hefei City, using the single-factor index (SFI) and principal component analysis (PCA). The results of SFI indicated that the most important parameters responsible for low water quality were total nitrogen (TN) and ammonia (NH4+-N). PCA showed that tail water from the WWTP greatly reduced water quality, as demonstrated by the significantly increased SFIs and integrated principal component values (F values) of the sampling points around the drain outlet of the WWTP (T3, T4 and T5). The sampling points located at the upstream of the river (T1) and up the water-gate of Chaohu Lake (T6) had negative F values, indicating relatively higher water quality. In addition, the season had a significant effect on the water quality of the river. Moreover, we discuss measures to improve the water quality of urban rivers in order to maintain their ecological functions.

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