scholarly journals Monitoring of water quality of the basin geosystem of the Poltva river

2013 ◽  
pp. 251-260
Author(s):  
L. Kurhanevych ◽  
M. Shipka
Keyword(s):  
Water Quality ◽  
Key Words ◽  
River Basin ◽  
Monitoring Network ◽  
Regional Monitoring ◽  
System Water ◽  
Basin System

The tasks of hydroecological monitoring of river-basin system have been justified. The analysis of the system of the monitoring studies in Poltva river basin has been made. The main problems in the functioning of the regional monitoring network have been determined. Key words: hydroecological monitoring, river-basin system, water quality.

scholarly journals Estimation of quality of superficial waters of river Sаn basin

2009 ◽  
pp. 200-207
Author(s):  
T. Gurska
Keyword(s):  
Water Quality ◽  
Key Words ◽  
River Basin ◽  
Quality Monitoring ◽  
Coefficient Estimation

On the basis of generalization and systematization of the results of the regime observations made by the services of superficial waters quality monitoring has been made the ecological estimation of the water quality within Ukrainian part of river Sjan basin. Key words: river basin, limiting permissible concentration, pollution coefficient, estimation of waters quality.

scholarly journals Estimation of quality of superficail waters of river Shklo basin

2009 ◽  
pp. 105-114
Author(s):  
T. Gurska
Keyword(s):  
Water Quality ◽  
Key Words ◽  
River Basin ◽  
Quality Monitoring

On the basis of generalization and systematization of the results of the regime observations made by the services of superficial waters quality monitoring has been made the ecological estimation of the water quality within Ukrainian part of river Shklo basin. Results of ecological estimation of waters quality is shown on the map. Key words: river basin, limiting permissible concentration, pollution coefficient, complex estimation of waters quality.

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 Study on the Causes of Water Environmental Pollution of Important Rivers in Haihe River Basin and Countermeasures

2021 ◽  
Vol 261 ◽  
pp. 04023
Author(s):  
Xu He ◽  
Hou Siyan
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Environmental Pollution ◽  
River Basin ◽  
River Regulation ◽  
Haihe River Basin ◽  
Point Source Pollution ◽  
Haihe River ◽  
The Impact

The water quality of six important rivers in Haihe River Basin, including Yongding River, Luanhe River, North Canal, Daqing River, South Canal and Chaobai River, was evaluated. The influence of point source and non-point source on water quality was analyzed. The causes of water environmental pollution in the major rivers were preliminarily revealed. The results show that the water quality of Chaobai River is good, and the impact of point source and non-point source discharge on the water body is small. Other rivers are affected by different degrees of point source and non-point source pollution. Based on the analysis results, the engineering measures and management countermeasures for river regulation are put forward.

scholarly journals Effects of Opened and Closed Spillway Operations of a Large Tropical Hydroelectric Dam on the Water Quality of the Downstream River

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Fiona-Annilow Wera ◽  
Teck-Yee Ling ◽  
Lee Nyanti ◽  
Siong-Fong Sim ◽  
Jongkar Grinang
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Aquatic Organisms ◽  
Quality Parameters ◽  
Regulated River ◽  
Land Uses ◽  
Hydroelectric Dam ◽  
Water Ph ◽  
The Impact

Water quality downstream of a hydroelectric dam is potentially affected by dam operations and other land uses in the river basin. Previous short-distance studies below the large Bakun Dam indicated poorer water quality during closed spillway. However, the extent of the impact is still unknown. Such knowledge is essential for mitigating the impact of the dam. Thus, the objectives of this study were to determine the water quality up to a distance of 210 km under two spillway operations, namely, closed and opened spillways, and also to determine the changes in water quality from the predam condition. Physicochemical parameters were measured at 15 stations along the Rajang River. Results of this preliminary study indicated that there were significant differences in eight out of nine water quality parameters between opened and closed spillway operations with opened spillway showing better water quality. During closed spillway, as we approached the dam, there was an increasing acidity and a decreasing oxygen content. Furthermore, as the water flows downstream, the unhealthy DO level (<5 mg/L) extended up to 165 km and the linear model showed an increasing DO rate of 0.09 mg/L per km. With opened spillway, DO decreased exponentially from 9.74 mg/L towards the downstream direction to 7.67 mg/L. The increasing turbidity and TSS in the downstream direction indicate contributions from erosion due to other land uses. The river is polluted with organics as indicated by COD of Class IV or V with sources from the dam and the activities in the river basin. Compared to the predam condition, the regulated river is less turbid but warmer and higher in ammonia. Closed spillway led to lower DO and acidic water. However, opened spillway water pH and DO were similar to those in the predam condition. Thus, it is recommended that DO be consistently high enough for the health of sensitive aquatic organisms downstream.

scholarly journals A Study on the Relationship between Land Use Change and Water Quality of the Mitidja Watershed in Algeria Based on GIS and RS

2020 ◽  
Vol 12 (9) ◽  
pp. 3510 ◽  
Author(s):  
Dechao Chen ◽  
Acef Elhadj ◽  
Hualian Xu ◽  
Xinliang Xu ◽  
Zhi Qiao
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
River Basin ◽  
Agricultural Land ◽  
Vegetation Coverage ◽  
Water Quality Control ◽  
Urban Settlement ◽  
The Relationship

Many catchments in northern Algeria, including the coastal Mitidja Basin in the north central part of the country have been negatively affected by the deterioration of water quality in recent years. This study aims to discover the relationship between land use change and its impact on water quality in the coastal Mitidja river basin. Based on the data of land use and water quality in 2000, 2010 and 2017, the relationship between land use change and surface water quality index in the Mitidja Watershed was discussed through GIS and statistical analysis. The results show that the physical and chemical properties of the Mitidja river basin have obvious spatial heterogeneity. The water quality of upstream was better than that of downstream. There was a significant spatial relationship between the eight water quality indicators and three land use types, including urban residential land, agricultural land and vegetation. In most cases, settlements and agricultural land are the dominant factors leading to river pollution, and higher vegetation coverage helps to improve water quality. The regression model revealed that percentage of urban settlement area was a predictor for NH4-N, BOD5, COD, SS, PO4-P, DO and pH, while vegetation was a predictor for NO3-N. The analysis also showed that during this period, urban settlement areas increased sharply, which has a significant impact on water quality variables. Agricultural land only had a significant positive correlation with PO4-P. The results provide an effective way to evaluate river water quality, control water pollution and land use management by landscape pattern.

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