Surface-water quality of the Cedar River basin, Iowa-Minnesota, with emphasis on the occurrence and transport of herbicides, May 1984 through November 1985

1988 ◽  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Surface Water Quality

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 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.

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 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.

Assessment of surface water quality of the Ceyhan River basin, Turkey

2009 ◽  
Vol 167 (1-4) ◽  
pp. 175-184 ◽  
Author(s):  
Çağatay Tanrıverdi ◽  
Ahmet Alp ◽  
Ali Rıza Demirkıran ◽  
Fatih Üçkardeş
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Surface Water Quality

Imprints of COVID-19 lockdown on the surface water quality of Bagmati river basin, Nepal

2021 ◽  
Vol 289 ◽  
pp. 112522
Author(s):  
Ramesh Raj Pant ◽  
Kiran Bishwakarma ◽  
Faizan Ur Rehman Qaiser ◽  
Lalit Pathak ◽  
Gauri Jayaswal ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Surface Water Quality ◽  
Bagmati River
Sign in / Sign up

Export Citation Format

Share Document