scholarly journals Simulating Water Quality of Wei River with QUAL2K Model, a Case Study of Hai River Basin in China

2016 ◽  
Vol 68 ◽  
pp. 14005
Author(s):  
Yali Zhang ◽  
Huige Yang ◽  
Zhisong Wang
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Wei River

scholarly journals Assessment and distribution of water quality of Pandoh river basin (PRB), Himachal Pradesh, North India

2021 ◽  
Vol 11 (8) ◽  
Author(s):  
C. Prakasam ◽  
R. Saravanan ◽  
M. K. Sharma ◽  
Varinder S. Kanwar
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Geographical Information ◽  
North India ◽  
Total Hardness ◽  
Drainage Pattern ◽  
Study Region ◽  
Northern India

AbstractAs the surface water in northern India is the main water resource for regional economic and also supply for drinking and irrigation purposes. However, deficiency of water quality leads to serious water pollution in the Pandoh river basin (PRB). Therefore, the main objective of the present study is to evaluate the quality of surface water. With this objective, surface water samples were collected from the PRB of northern India, and analyzed for pH, EC, turbidity, alkalinity, total dissolved solids, and total hardness. Moreover, geographical information system (GIS) tools were used to prepare the geology, drainage pattern, and location maps of the study region. Surface water quality observed from the PRB has an alkaline nature with a moderately hard type. Further studies are encouraged to better understand the water quality in northern India.

Water quality of reclaimed water from treated urban wastewater in Chaobai River Basin, North China

2014 ◽  
Vol 12 (2) ◽  
pp. 103-109 ◽  
Author(s):  
Yilei Yu ◽  
Xianfang Song ◽  
Yinghua Zhang ◽  
Fandong Zheng ◽  
Licai Liu
Keyword(s):  
Water Quality ◽  
River Basin ◽  
North China ◽  
Reclaimed Water ◽  
Urban Wastewater

Statistical and Data Mining Techniques for Understanding Water Quality Profiles in a Mining-Affected River Basin

2018 ◽  
Vol 9 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Jose Simmonds ◽  
Juan A. Gómez ◽  
Agapito Ledezma
Keyword(s):  
Data Mining ◽  
Water Quality ◽  
River Basin ◽  
Suspended Solids ◽  
Water Quality Monitoring ◽  
High Flow ◽  
Quality Monitoring ◽  
Low Flow ◽  
Inverse Relation

This article contains a multivariate analysis (MV), data mining (DM) techniques and water quality index (WQI) metrics which were applied to a water quality dataset from three water quality monitoring stations in the Petaquilla River Basin, Panama, to understand the environmental stress on the river and to assess the feasibility for drinking. Principal Components and Factor Analysis (PCA/FA), indicated that the factors which changed the quality of the water for the two seasons differed. During the low flow season, water quality showed to be influenced by turbidity (NTU) and total suspended solids (TSS). For the high flow season, main changes on water quality were characterized by an inverse relation of NTU and TSS with electrical conductivity (EC) and chlorides (Cl), followed by sources of agricultural pollution. To complement the MV analysis, DM techniques like cluster analysis (CA) and classification (CLA) was applied and to assess the quality of the water for drinking, a WQI.

scholarly journals Development and application of GIS-based assessment of land-use impacts on water quality: A case study of the Kharaa River Basin

AMBIO ◽  
2018 ◽  
Vol 48 (10) ◽  
pp. 1154-1168 ◽  
Author(s):  
Gunsmaa Batbayar ◽  
Martin Pfeiffer ◽  
Martin Kappas ◽  
Daniel Karthe
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Basin ◽  
Land Use Impacts ◽  
Application Of Gis
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