scholarly journals Spatial-temporal analysis of the surface water quality of the Pará River Basin through statistical techniques

2019 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Josiani Cordova de Oliveira ◽  
Kelly Prado Maia ◽  
Nara Linhares Borges de Castro ◽  
Sílvia Maria Alves Corrêa Oliveira
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Statistical Tests ◽  
Surface Water Quality ◽  
Minas Gerais ◽  
State Legislation ◽  
Historical Series ◽  
The Impact

Water quality issues are a growing concern due to the the recent intensification of urbanization and industrialization. This paper evaluates and compares the surface water quality of the ten sub-basins of the Pará River, located in the São Francisco River Basin, Minas Gerais, and evaluates the impact of seasonality and the compliance with the current limits of state legislation. The surface water quality monitoring database of the Institute of Water Management of Minas Gerais (Igam) was used, and 18 parameters were analyzed from a historical series from 2008 to 2016, totaling 16,651 observations. First, the descriptive statistics of the parameters were calculated, considering each sub-basin separately. Then, for the temporal and spatial analysis, the Kruskal-Wallis nonparametric statistical tests were applied, followed by the multiple comparison test, with an alpha level of 5%, due to the asymmetric behavior of the data. Thus, it was possible to compare water quality of the sub-basins in rainy and dry seasons and to identify which parameters were responsible for the greater degradation. In the compliance analysis to the current limits of state legislation, it was identified that all of the sub-basins were out of the specified range for at least one of the evaluated parameters. Finally, the seasonality analysis exposed significant differences in the parameters of dissolved oxygen, turbidity, total suspended solids, total solids and water temperature, where it was shown that there was a worsening of water quality in the rainy season for most sub-basins.

scholarly journals Surface water quality assessment using hybrid multivariate statistical analysis and geographic information system based on integrated water quality index model for Maozhou River Basin, Guangdong, China

2021 ◽  
Author(s):  
Tao Lin ◽  
Huiqing Yu ◽  
Qi Wang ◽  
Lin Hu ◽  
Jing Yin
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Surface Water Quality ◽  
Water Quality Evaluation ◽  
Multivariate Statistical ◽  
Index Model ◽  
Water Ecosystem ◽  
Water Quality Status

Abstract The river is a vital component of the water ecosystem in both urban and rural regions. However, its rapidly increasing pollutants are posing a severe threat for water ecosystem security. Using Multivariate statistical technique and Integrated water quality index model (IWQI) to evaluate surface water quality and its spatial distribution based on Geographic information system (GIS). This combinatorial model have been proved to be a feasible tool for evaluating surface water quality at large-scale basin. This study analyzed the spatio-temporal variations of surface water quality, which were determined monthly from samples collected in the Maozhou River Basin Guangdong Province, China from 2018 to 2020. The results demonstrated that the surface water quality status of in the Maozhou River Basin has been steadily improved during the study period. The surface water quality of 82.17% of monitoring site reached the water quality target of function zones (surface water quality of the class V standards), with the IWQI values ranging from 12.118 to 3.650. By the end of 2019, black-odorous water in Maozhou River basin has disappeared from our sight. By 2020, the water quality status of the Maozhou River Basin has been steadily maintained at “Medium and good” level, and the main background pollutants for the water quality target of function zones is NH3-N. However, the some area in which the surface water quality still need to further improve is estuary and southwest tributary in the basin. This finding calls for further efforts to improve surface water quality and to properly deal with various sources of pollution in the watershed. It is concluded that this combined surface water quality evaluation model is more efficient and reasonable for surface water quality evaluation at a larger scale. It can provide scientific foundation for the water ecosystem management and planning in efficiently managing and evaluating surface water quality at river or basin scales.

scholarly journals The Impact of Urban Flooding on Surface Water Quality of Awka Town

2014 ◽  
Vol 05 (01) ◽  
pp. 60-64 ◽  
Author(s):  
Anthony C. Okoye ◽  
Emma E. Ezenwaji ◽  
Kabir A. Awopeju
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Urban Flooding ◽  
The Impact

Use of multivariate statistical methods to analyze the monitoring of surface water quality in the Doce River basin, Minas Gerais, Brazil

2020 ◽  
Vol 27 (28) ◽  
pp. 35303-35318 ◽  
Author(s):  
Micael de Souza Fraga ◽  
Guilherme Barbosa Reis ◽  
Demetrius David da Silva ◽  
Hugo Alexandre Soares Guedes ◽  
Abrahão Alexandre Alden Elesbon
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Statistical Methods ◽  
River Basin ◽  
Surface Water Quality ◽  
Minas Gerais ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Doce River

Multivariate statistical techniques for the assessment of surface water quality of Fuji River Basin, Japan

2006 ◽  
Vol 6 (5) ◽  
pp. 59-67 ◽  
Author(s):  
S. Shrestha ◽  
F. Kazama
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Organic Pollution ◽  
Quality Parameters ◽  
Point Sources ◽  
Discharge Temperature

Different multivariate statistical techniques were used to evaluate temporal and spatial variations of surface water-quality of Fuji river basin using data sets of 8 years monitoring at 13 different sites. The hierarchical cluster analysis grouped thirteen sampling sites into three clusters i.e. relatively less polluted (LP), medium polluted (MP) and highly polluted (HP) sites based on the similarity of water quality characteristics. The principal component analysis/factor analysis indicated that the parameters responsible for water quality variations are mainly related to discharge and temperature (natural), organic pollution (point sources) in LP areas; organic pollution (point sources) and nutrients (non point sources) in MP areas; and organic pollution and nutrients (point sources) in HP areas. The discriminant analysis showed that six water quality parameters (discharge, temperature, dissolved oxygen, biochemical oxygen demand, electrical conductivity and nitrate nitrogen) account for most of the expected temporal variations whereas seven water quality parameters (discharge, temperature, biochemical oxygen demand, pH, electrical conductivity, nitrate nitrogen and ammonical nitrogen) account for most of the expected spatial variations in surface water quality of Fuji river basin.

scholarly journals Surface water quality in the Mastnik stream catchment area: The situation in the Czech countryside

Geografie ◽  
2018 ◽  
Vol 123 (4) ◽  
pp. 479-505
Author(s):  
Luboš Mrkva ◽  
Bohumír Janský
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Wastewater Treatment Plants ◽  
Stream Water ◽  
Surface Water Quality ◽  
Gradual Improvement ◽  
Stream Flows ◽  
Using Data ◽  
The Impact

Despite major investments into the remediation of wastewater, and the reduction of fertilizers, the quality of small river surface water in agricultural and rural regions of Czechia is still very low. The Mastník stream flows through an agricultural area before combining with the Vltava river; a portion of the Mastník stream water inevitably terminates in the Slapy Reservoir. The quality of the water has been analyzed using data from indicator concentrations from both the Vltava River Basin Authority study profiles, and the author’s monitoring profile. The data show that the steps that have been taken – primarily the construction of wastewater treatment plants – have led to a gradual improvement in the surface water quality by some parameters. Presently, a growing concentration of chlorophyll–α and a lack of dissolved oxygen are influencing the final quality of the water. In the case of the Mastník stream, it is particularly necessary to improve the remediation of wastewater from small households, and to reduce the impact of water erosion on agricultural soil.

scholarly journals Impacts of drought on the quality of surface water of the basin

2013 ◽  
Vol 10 (11) ◽  
pp. 14463-14493
Author(s):  
B. B. Huang ◽  
D. H. Yan ◽  
H. Wang ◽  
B. F. Cheng ◽  
X. H. Cui
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Point Source ◽  
Surface Water Quality ◽  
Point Sources ◽  
Point Source Pollution ◽  
Drought And Flood ◽  
The Impact ◽  
Non Point Source Pollution

Abstract. Under the background of climate change and human's activities, there has been presenting an increase both in the frequency of droughts and the range of their impacts. Droughts may give rise to a series of resources, environmental and ecological effects, i.e. water shortage, water quality deterioration as well as the decrease in the diversity of aquatic organisms. This paper, above all, identifies the impact mechanism of drought on the surface water quality of the basin, and then systematically studies the laws of generation, transfer, transformation and degradation of pollutants during the drought, finding out that the alternating droughts and floods stage is the critical period during which the surface water quality is affected. Secondly, through employing indoor orthogonality experiments, serving drought degree, rainfall intensity and rainfall duration as the main elements and designing various scenario models, the study inspects the effects of various factors on the nitrogen loss in soil as well as the loss of non-point sources pollution and the leaching rate of nitrogen under the different alternating scenarios of drought and flood. It comes to the conclusion that the various factors and the loss of non-point source pollution are positively correlated, and under the alternating scenarios of drought and flood, there is an exacerbation in the loss of ammonium nitrogen and nitrate nitrogen in soil, which generates the transfer and transformation mechanisms of non-point source pollution from a micro level. Finally, by employing the data of Nenjiang river basin, the paper assesses the impacts of drought on the surface water quality from a macro level.

scholarly journals Evaluation of surface water quality and pollution in Lepenica river basin

2007 ◽  
Vol 87 (1) ◽  
pp. 173-184 ◽  
Author(s):  
Ana Milanovic ◽  
Jelena Kovacevic-Majkic
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Urban Development ◽  
River Basin ◽  
Water Regime ◽  
Surface Water Quality ◽  
Artificial Lakes

Lepenica river basin is axis of economic and urban development of Sumadija region. However, because of disorderly water regime of Lepenica river and its tributaries, it appears several hydrologic problems on this territory, as example insufficiency of drinking and irrigating water by one cite, and floods and torrents (especially in Kragujevac valley) by other cite. Particular problem is water quality and pollution in river basin. In this paper will be analyzed water quality of Lepenica river and artificial lakes, built in its river basin, according to the data of Republic Hydrometeorologic Institute of Serbia. Also, it will be present polluter cadastre in river basin.

scholarly journals THE ASSESSMENT OF TECK'S CASTLE PROJECT BASED ON FIVE VALUED ECOSYSTEM COMPONENTS

InterConf ◽  
2021 ◽  
pp. 413-421
Author(s):  
Jingyao Su ◽  
Simon Courtenay
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Fish Habitat ◽  
Surface Water Quality ◽  
Protective Equipment ◽  
Quality Model ◽  
Treatment Facilities ◽  
The Impact

Teck's Castle Project is the largest coal mine project to be mined in Canada. This article is an environmental assessment of Teck's Castle Project based on five valued ecosystem components (VECs) including: Surface Water Quality, Fish and Fish habitat, Vegetation, Local Employment, and Land Use. I proposed to use a surface water quality model to detect the degree of pollution of the water quality of the surrounding rivers and use an economic multiplier to measure the impact on local economic employment. Through research, I found that the water treatment facilities used by Teck Coal Limited can effectively alleviate the impact of the project on the water quality of the surrounding rivers, and I recommended that Teck Coal Limited wear protective equipment to protect their health when working.

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