scholarly journals Trend analysis of selected water-quality constituents in the Verde River basin, central Arizona

1990 ◽  
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
River Basin ◽  
Verde River ◽  
Central Arizona

scholarly journals Trend analysis of the load and concentration of physical, chemical and biological parameters in the Verde River Basin

RBRH ◽  
2017 ◽  
Vol 22 (0) ◽  
Author(s):  
Carolina Cristiane Pinto ◽  
Stella Braga Andrade ◽  
Éber Andrade Pinto ◽  
Sílvia Maria Alves Corrêa Oliveira
Keyword(s):  
Water Quality ◽  
Time Series ◽  
River Basin ◽  
River Flow ◽  
Biological Parameters ◽  
Concentration Data ◽  
Sources Of Pollution ◽  
Physical Chemical ◽  
Verde River ◽  
Spearman Correlation Test

ABSTRACT The estimation of loads of pollutants is of crucial interest to identify the level of water quality, understand the processes and identify the sources of pollution. The aim of this study was to calculate time trends of loads and concentrations of eleven physical, chemical and biological parameters, in nine quality monitoring stations of the Verde River Basin from 2008 to 2014. The time series analysis was performed with different tests. First, with the verification of autocorrelation of the time series using the Spearman correlation test. Then, Kruskal-Wallis test was used to check significant differences between the seasons and, afterwards the Mann-Kendall or the Seasonal Mann-Kendall time trend tests were applied accordingly. The analysis results indicated differences between the spatial distribution of loads and concentrations for most of the parameters evaluated in this study. The results showed that the simultaneous analysis of concentration data and flow data is essential for a more comprehensive and reliable evaluation of water quality, since the changes in river flow over time can mislead the interpretation of the concentration data. Moreover, to analyze only the pollutant load data, without looking how the flow and concentration behaves, does not provide conclusive results, since it does not allow to evaluate whether changes in the load values were caused by alterations of the flow or concentration. Thus, the results indicate the need to monitor water quality along with flow measurement, providing more complete and reliable assessments of the evolution of water quality.

Environmetric Techniques Application in Water Quality Assessment: A Case Study in Linggi River Basin

2015 ◽  
Vol 74 (1) ◽  
Author(s):  
Mohd Fadhil Kasim ◽  
Hafizan Juahir ◽  
Ismail Tawnie ◽  
Azman Azid ◽  
Ahmad Shakir Mohd Saudi ◽  
...  
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
River Basin ◽  
Anthropogenic Source ◽  
Water Quality Variable ◽  
The Future ◽  
Water Quality Status ◽  
Quality Status ◽  
Monitoring Stations

In this research, determination of water quality status was carried out by using non-parametric Mann-Kendall analysis for the Linggi River Basin and for classification of the river, HACA and PCA has been used to classify the river to obtain the clearest picture of the water quality status. The dataset includes 6 parameters for 6 monitoring stations (1997 to 2012). Mann-Kendall trend analysis shows trend analysis indicate that significant improvement trend for all parameters studied except for BOD (WQ1 (P<0.1) and WQ6 (P<0.05)) and SS (WQ4 to WQ6 (P<0.05)) trend were shows the unhealthy significant trend. This indicates that even though the WQI getting good in trend, a few parameters such as BOD and SS need to be watched and enforcement by the local authority need to be done to make sure the WQI continuously getting better in the future. HACA grouped the six monitoring stations into three different clusters based on their similarities namely less pollution site (LPS), medium pollution site (MPS) and high pollution site (HPS). HACA indicate one station (WQ1) into group LPS, two stations into MPS (WQ2 and WQ3) and three stations into HPS (WQ4, WQ5 and WQ6) respectively. PCA was used to investigate the origin of each water quality variable based on the clustered region. Three principal components (PCs) were obtained with 75.3% total variation for HPS, 73.4% for MPS and 68.1% for LPS. The major pollution source for HPS are of anthropogenic source (municipal waste, domestic wastes) while for MPS the major source of pollution was from non point source pollution such as animal husbandry in livestock farm. For the LPS, major source comes from the sea tide effect (natural effect). The identification and classification of different region by this study will help the local authorities make better and more informed decisions about the improvement water quality program for the future.

scholarly journals A Study on the Water Quality Changes of TMDL Unit Watershed in Guem River Basin Using a Nonparametric Trend Analysis

2014 ◽  
Vol 30 (2) ◽  
pp. 148-158 ◽  
Author(s):  
Eunjung Kim ◽  
Yongseok Kim ◽  
Doughee Rhew ◽  
Jichul Ryu ◽  
Baekyung Park
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
River Basin ◽  
Quality Changes

Temporal and spatial trend analysis of surface water quality in the Doce River basin, Minas Gerais, Brazil

2021 ◽  
Author(s):  
Micael de Souza Fraga ◽  
Demetrius David da Silva ◽  
Guilherme Barbosa Reis ◽  
Hugo Alexandre Soares Guedes ◽  
Abrahão Alexandre Alden Elesbon
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Trend Analysis ◽  
River Basin ◽  
Surface Water Quality ◽  
Minas Gerais ◽  
Spatial Trend ◽  
Temporal And Spatial ◽  
Doce River

Characteristics of Water Quality in Tributaries of the Sumjin River Basin

2017 ◽  
Vol 18 (6) ◽  
pp. 563-570
Author(s):  
Se Chang Son ◽  
Dae Hoon Kim ◽  
Jae Chun Lee ◽  
Jae Young Jae Young ◽  
Ki Wan Lee ◽  
...  
Keyword(s):  
Water Quality ◽  
River Basin

Water Quality Characteristics for Agricultural Reservoirs in Yeongsan River Basin

2020 ◽  
Vol 21 (1) ◽  
pp. 15-23
Author(s):  
Sang-Guen Oh ◽  
Jae-Young Lee ◽  
Jae-Woon Jung ◽  
Ju-Tae Song ◽  
Sang-Yun You ◽  
...  
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Quality Characteristics
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