scholarly journals Spatiotemporal hydrochemical variations in river water in the Qilian Mountains and their sources: a case study of the Binggou River Basin

2019 ◽  
Vol 9 (4) ◽  
pp. 731-742
Author(s):  
Junju Zhou ◽  
Juan Xiang ◽  
Guofeng Zhu ◽  
Li Lei ◽  
Jianjun Cao ◽  
...  

Abstract The headwater region of inland China is immensely important for sustaining livelihoods and maintaining ecological balance, highlighting the need to characterize and assess water quality in this region. The aim of this study is to acquire a comprehensive understanding of the spatiotemporal variation characteristics of river water chemistry and to identify the sources of major ions in the Binggou River Basin, Northwest China. The results show that the water of the Binggou River is neutral freshwater. SO42− is the major anion, Ca2+ is the major cation and the river type is Ca–Na–SO4–HCO3. The concentrations of Na+, Mg2+, SO42−, NO3−, and total dissolved solid are slightly higher than the global average. The seasonal variations of major ion concentrations in the river are highest in winter but lowest in autumn, whereas the spatial variations are greater in the east branch than in the west branch and upstream compared with downstream. Source analysis of the ions indicates that rock weathering is the main source of ions, followed by human activities such as farmland fertilization and coal burning. Water quality analysis shows that the river water is suitable for drinking and irrigation, but the water quality is relatively poor in areas with more human activity, which indicates that human activity greatly influences water quality.

2013 ◽  
Vol 9 (3) ◽  
pp. 251-258

The Gallikos river basin is located in the northern part of Greece and discharges into the Thermaikos Gulf, North Aegean sea. Three main tributaries contribute to the river, the basin of which has a total areal extent of 930 km2. The basin of Gallikos river is formed of metamorphic rocks, limestones, Neogene and Quaternary deposits. Groundwater resources are mainly located within the carbonate rocks and the quaternary deposits. Water quality deterioration is documented based on the performed hydrochemical analyses of samples collected along the river course and its tributaries during the end of the wet and the dry seasons of year 2004. Results were correlated to the groundwater quality as this is reflected by analyses conducted on samples collected from wells adjacent to the river over the same periods. Samples were analyzed for major ions, nitrates, BOD5, COD, heavy metals and boron, whilst in situ measurements of pH, electrical conductivity and water temperature were performed. River water quality is related to the flow regime and is influenced by the geological structure, agricultural activities, as well as by untreated waste effluent that is discharged from villages and small industrial units that are scattered along the river basin.


Author(s):  
P. Aravind ◽  
S. Selvakumar ◽  
G. Thiyagarajan ◽  
K. Boomiraj ◽  
Balaji Kannan

Aims: The history of Noyyal river in Coimbatore is known for water quality and taste since the colonial period. The river water is used mainly for drinking, irrigation and industrial purposes to districts of Coimbatore, Tiruppur and Karur with many anaicuts and tanks. In the recent past due to urbanization and industrialization the river water has been polluted in the greater extend. Place and Duration of Study: The study was conducted to investigate the water quality status of five important upper reach semi-urban tanks of Noyyal river basin in the year 2020 -2021. Methodology: We have collected the sample season wise in the five tanks and analyzed for pH, EC, TDS, TSS, total hardness, alkalinity, chlorides and sulphates as well as heavy metals such as zinc, copper, cadmium and lead. Results: The results of our water quality analysis showed that most of the parameters are above the maximum permissible limits of CPCB standards for drinking water in India. The heavy metals concentrations were many folds higher than the CPCB permissible limits. The correlation analysis, Anova and PCA showed that the EC and TDS, alkalinity and sulphates, chlorides and sulphates and alkalinity and chlorides had higher correlation in the water quality analysis and they are interrelated to one another. In the monsoon season the pollution status is less and during summer season the pollution load is higher in the all tanks. During the monsoon season because of intensive water flow dilute the pollution load as well high rate of degradation due to high dissolved oxygen content of river water. Since, he Noyyal river is seasonal river, during summer, there would be very less or no flow of water into the tank increase the pollution load. The Narasampathy tank had comparatively less pollution than other tanks, since, it is the first tank in the upper reach of the Noyyal basin and has less inhabitants and industry. Conclusion: We concluded that the tanks are polluted due to urbanization and industrialization in and around the Noyyal basin and there is an urgent need to tackle this problem by making eco-friendly and economically viable treatment system to sustain the water quality.


1996 ◽  
Vol 34 (12) ◽  
pp. 33-40 ◽  
Author(s):  
Y. Hosoi ◽  
Y. Kido ◽  
H. Nagira ◽  
H. Yoshida ◽  
Y. Bouda

The inflow of pollutant load from urban areas and the stagnation of water due to sea water intrusion cause the deterioration of river water quality in tidal zone. In order to improve water quality, various measures such as the reduction of pollutant load by sewage systems, discharge control from sewage treatment plants considering river flow, nutrient removal by aquatic plants, and the dredging of bottom sediments have been examined. The choice of these measures depends on the situation of the river environment and finances. In this study, a field survey was carried out in a typical urban river basin, first. Secondly, on the basis of this survey, a mathematical model was formed to simulate flow and water quality. Several purification alternatives designed for the investigated river basin were comparatively evaluated from the viewpoint of the effect of water quality improvement and their cost. Finally, they were prioritized. Through this case study, a planning process of river water quality management was shown.


2012 ◽  
Vol 15 (4) ◽  
pp. 71-86
Author(s):  
Thang Viet Le ◽  
Triet Minh Lam ◽  
Tan Manh Le ◽  
Tai Manh Pham

The article proposed an appropriate organization modeling for Sai Gon river water quality management based on the analysis having scientific and practical basic about aspects have done and aspects limited of LVS management organization (LVS environmental protection Committee) in past time, lesson learnt from effective LVS management performance of countries in the world as well as based on actual study changes in Sai Gon river water quality in many years and practically coordination management and environmental protection river among local area along river basin. The proposed modeling is feasible and practical aim to protect Sai Gon river water source serving for different purposes such as supply water for domestic demand, industry, irrigation, river landscape – tourism, and waterway etc., towards sustainable development of local area along river basin.


2014 ◽  
Vol 8 (2) ◽  
pp. 5-19
Author(s):  
Andreea Mănescu ◽  
Luca Mihail ◽  
Mihalache Raluca

Abstract The Siret River are used as raw water source for different municipal water supply systems, yet the Siret River are used as receiving bodies by some inhabitants and industry. In the study the quality of the Siret River water was determinate using a Water Quality Index (WQI). Results are presented from a field study performed on the Bistrita, Moldova, Suceava, Siret, Şomuzu Mare, Trotuş and Tributary River in the study area Siret Basin Romania. The main objective of this study was to determine is to find correlations land use to indicators physical-chemical of water quality, to investigate pollution source is more responsible for river water quality. This is of interest not only research context, but also for supporting and facilitating the application analysis postullend in the Water Framework Directive (WFD) (2000/60/CE) for the establishment of programmers of measures. For this purpose a slightly impact pollution source municipal wastewater treatment, land uses, urban, forest, agriculture and mining was selected and intensively monitored during six years January 2006 - December 2011, sampling was determined to meet the WFD standards for confidence in twenty two different control section of the Siret Basin. The main measures to reduce emissions to the Siret River were calcium, ammonium, sulfate, residue fixed (RF), sodium, chloride, free detergent and municipal wastewater treatment, concentrated on point emission. The main contributor to diffuse this parameters increased when more percentage of land was dedicated to industry and urban and less to forest and mining.


2020 ◽  
Vol 69 (2) ◽  
pp. 160-172 ◽  
Author(s):  
Cao Truong Son ◽  
Nguyen Thị Huong Giang ◽  
Trieu Phuong Thao ◽  
Nguyen Hai Nui ◽  
Nguyen Thanh Lam ◽  
...  

Abstract This research aims at using a combined water quality index (WQI) and pollution index (PI) to assess and characterize river water quality of Cau River which is one of the longest rivers in the north of Vietnam. Five different water quality and water pollution indices were used including the Water Quality Index (WQI), Comprehensive Pollution Index (CPI), Organic Pollution Index (OPI), Eutrophication Index (EI), and Trace Metal Pollution Index (TPI). The combined water pollution indices show more serious pollution towards the river downstream. In particular, CPI and OPI reveal a high risk of eutrophication. Cluster analysis was applied to classify water monitoring points into different quality groups in order to provide a better understanding of the water status in the river. This study indicates that a combined water quality analysis could be an option for decision making water use purposes while its single index shows the current situation of water quality.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Prasad M. Pujar ◽  
Harish H. Kenchannavar ◽  
Raviraj M. Kulkarni ◽  
Umakant P. Kulkarni

AbstractIn this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.


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