scholarly journals Evaluation of Water Quality in Middle and Lower Yangtze River of China

2020 ◽  
Vol 206 ◽  
pp. 03015
Author(s):  
Yanbin Yang

The water resource is the basic natural resource and one of the controlling factors of the ecological environment. However, for China with extensive economic growth and high population pressure, deterioration of water quality has been a very serious problem. This research will focus on five main provinces along the Yangtze River, one of the richest and most economically developed areas in China. The data of lakes in five provinces is mainly from China Lake Scientific Database and the study chooses and analyzes four elements of the lake: nitrogen content, phosphorus content, dissolved oxygen content and pH value. These four elements represent water quality or reflect the source of pollution. By R studio, both the ANOVA test and regression equation are used to indicate four elements’ relationship among each other in the whole five provinces and each province’s water quality and use condition. Jiangsu’s average dissolved oxygen content is the highest among the five provinces and is supposed to have the highest water quality because of the strong self-purification ability of water. However, since it also owns the most developed industry seen from data of the number of industrial enterprise and industrial wastewater, lakes in Jiangsu have the highest average nitrogen and phosphorus content. Anhui has low dissolved oxygen content which can harm the production in the fishery. The pH value of lakes in Jiangxi is much lower than that of lakes in other provinces. Jiangxi province suffers from acid rain all year- round, which causes the acidification of groundwater and surface lakes.

2015 ◽  
Vol 6 (1) ◽  
pp. 59-67
Author(s):  
K Rakiba ◽  
Z Ferdoushi

Among different water quality parameters dissolved oxygen, transparency, pH, PO4-P and depth varied significantly among the sampling sites. The pH value in the present investigation remained a buffer condition (6.50- 7.90). Dissolved oxygen was ranges from 3.80 to 11.60 mg/l throughout the study periods. PO4-P concentration was observed highest (0.30 mg/l) in sampling site 2. On the basis of physical, chemical aspects sampling site 3 and sampling site 5 (situated in gosaipur and chandandoho) found in better condition in terms of limnological aspects. However, it could be concluded that Dhepa River will play important role in riverine fisheries and for further fisheries management.DOI: http://dx.doi.org/10.3329/jesnr.v6i1.22041 J. Environ. Sci. & Natural Resources, 6(1): 59-67 2013


Author(s):  
Rahmat Eko Sanjaya ◽  
Rilia Iriani

Tanipah village is a coastal village in Kecamatan Aluh-Aluh, Kabupaten Banjar, Kalimantan Selatan and a tidal area of sea water. Tanipah villagers utilize river water for daily needs, so the quality of river water is a major concern. The results of this research are expected to be informations for the community about quality of river water in Tanipah. This research is a survey research and the analysis was conducted in-situ and ex-situ. The analysis was done by comparing the test result against the predefined quality standard. River water temperature in Tanipah ranges from 28<sup>0</sup>C – 33,6<sup>0</sup>C and has no taste and no smell. Turbidity of 54,8 NTU, indicating river water is not feasible for consumption. Dissolved oxygen is 5,9 mg/L and is in the mild contaminated category. The COD and BOD value respectively 17,03 mg/L and 6,70 mg/L, exceeds the limit of the class I water quality standard. The pH value is at 7,33, indicating that the pH is normal. The iron concentration is 1,71 mg/L, exceeds the maximum permissible level for drinking water quality. Other metals likes Mn, Pb, Cu and Cd, are within thresholds for the waters. River water in Tanipah village based on the value of dissolved oxygen, is in category of light contaminated. Thus, in general, river water in Tanipah village can only be used for class III water, as irrigation.


2004 ◽  
Vol 35 (1) ◽  
pp. 61-72 ◽  
Author(s):  
Rimvydas Tumas

The Lithuanian karst region covers about 1000 km3 in the northern part of the country. This is the most vulnerable area from a pollution point of view. The structure of the total dissolved solids (TDS) shows that the flow of rivers in the karst region is from hydraulically interconnected aquifers. For the last decade (1991–2000) TDS has varied considerably, from 529 to 732 mg/l. The predominant sources of nitrogen and phosphorus within the headwaters of the monitored rivers were diffuse and agricultural in nature. Downstream from the towns nitrogen and especially phosphorus showed both diffuse and point source signals. Contributions of point sources to the stream pollution by nutrients prevail. The time series of monthly dissolved oxygen (O2) in the main karst region river – the Musa – shows the existence of multiplicative seasonality. The trend cycle (1991–1999) shows low levels of dissolved oxygen in 1991–1993, with a similar fluctuation in 1994, 1995 and 1996 (due to point pollution from the town of Siauliai) and a gradually improving situation since 1997. The general multiplicative trend of dissolved oxygen in the lower reaches of the Musa river (near the border with Latvia) is decreasing (within the accuracy limits). The abundance and species of zoo benthos are suitable criteria (biotic index – BI) for evaluation of a river's biological water quality. Zoo benthos demonstrates tolerances that vary among species, the oxygen regime and the pollution with nitrogen. The best living conditions for invertebrates are in the riverhead of the karst region rivers – BI=5.62–6.74 (1991–1999), where pollution with nutrients is caused mostly by agricultural activity. Rare and asynchronous data of biological water quality shows up tendencies that invertebrates prefer less contaminated reaches of rivers.


2015 ◽  
Vol 15 (1) ◽  
pp. 3-14
Author(s):  
Mohamed A. Ashour ◽  
Tarek Sayed ◽  
Salah El-Attar

Abstract Using energy dissipaters on the soled aprons downstream of head structures is the main technique for accelerating hydraulic jump formation and dissipating a great amount of the residual harmful kinetic energy occurring downstream of head structures. In this paper, an experimental study was conducted to investigate some untested shapes of curved dissipaters with different angles of curvature and arrangements from two points of view. The first is to examine its efficiency in dissipating the kinetic water energy. The second is to examine the most effective shape and arrangement obtained from the aforementioned step in enriching the flow with dissolved oxygen for enhancement of the irrigation water quality. The study was held in the irrigation and hydraulic laboratory of the Civil Department, Faculty of Engineering, Assiut University, using a movable bed tilting channel 20 m long, 30 cm wide, and 50 cm high, using 21 types of curved dissipaters with different arrangements. A total of 660 runs were carried out. Results were analysed, tabulated and graphically presented, and new formulas were introduced to estimate the energy dissipation ratio, as well as the DO concentrations. Results in general showed that the dissipater performance is more tangible in dissipating the residual energy when the curvature is in the opposite direction to that of the flow. Also, the energy loss ratio increases with an increase in curvature angle (θ), until it reaches (θ = 120°), then it decreases again. The study also showed that using three rows of dissipaters give nearly the same effect as using four rows, concerning both the relative energy dissipation and dissolved oxygen content. So, it is recommended to use three rows of the curved dissipater with the angle of curvature (θ = 120°) in the opposite direction to that of the flow to obtain the maximum percentage of water energy dissipation downstream of head structures, and maximum dissolved oxygen content too


Author(s):  
Vasanth Kumar ◽  
S.V Roopa ◽  
B.K Gangadhar

Present work was pertaining to studies conducted at one lentic perinial water body at Talaguppa viz., Gourikere pond Tq:Sagar Karnataka.  The period of study undertaken it one year from May - 2007 to April - 2008. This study is intended to monitor the water quality of Gourikere pond of Talaguppa, Sagar Tq: Shimoga District and also helpful for using this water for making fisheries activity. The present investigation encompassed collection of data pertaining to various aspects such as meteorological condition, physicochemical parameter of water body of Gourikere pond. Air and surface water temperatures varied from 29.7oC to 37.5oC and from 20.6oC – 24.8oC. And the pH ranged between 8.1 to 9.1. Variation in dissolved oxygen content was from 6.4 mg/l to 10.8 mg/l  and variation in CO2 was observed from 7.4 mg/l to 12.00 mg/l.  Concentrations of nutrients viz. nitrates (0.69 mg/l to1.30 mg/l), phosphates (0.30 mg/l to 0.63 mg/l) Magnesium (11.79 mg/l to 88.64 mg/l) sulphate (2.45 mg/l to 5.16 mg/l) Calcium (33.41 to 138.10mg/l), also varied independently. The results of the study revealed that hydrographical conditions fluctuated moderately throughout the year. Keywords: Physico-chemical parameters, lentic, Nutrients, Gourikere pond.


Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3875
Author(s):  
Haocai Huang ◽  
Rendong Feng ◽  
Jiang Zhu ◽  
Peiliang Li

Ocean acidification is changing the chemical environment on which marine life depends. It causes a decrease in seawater pH and changes the water quality parameters of seawater. Changes in water quality parameters may affect pH, a key indicator for assessing ocean acidification. Therefore, it is particularly important to study the correlation between pH and various water quality parameters. In this paper, several water quality parameters with potential correlation with pH are investigated, and multiple linear regression, softmax regression, and support vector machine are used to perform multi-classification. Most importantly, experimental data were collected from Weizhou Island, China. The classification results show that the pH has a strong correlation with salinity, temperature, and dissolved oxygen. The prediction accuracy of the classification is good, and the correlation with dissolved oxygen is the most significant. The prediction accuracies of the three methods for multi-classifiers based on the above three factors reach 87.01%, 87.77%, and 89.04%, respectively.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ying Wei

With the increasing pollution of the ecological water environment, the treatment of the ecological water environment has become the focus of everyone’s attention. At present, there are many research results on water environment governance, but the effect is not ideal. In order to effectively control the ecological water environment and promote sustainable economic growth, this research combines artificial intelligence algorithms and applies them to the governance process to explore its application effects and its impact on economic growth. First, the environmental sensor of the corresponding module is designed according to the water environment factor, and the data of dissolved oxygen content, water temperature, turbidity, temperature and humidity, and smoke concentration in the water environment are collected. Then the dynamic time-varying exponential smoothing prediction method is used to predict water quality, and a water quality prediction model is established. Then use support vector machine (SVM) to train the collected data samples, use the decision tree-based SVM classification method to classify the data samples, establish a water quality evaluation model, and use particle swarm optimization algorithm to optimize the evaluation model. Put the sensors and predictive evaluation models established in this research design into the governance of a certain river reach, and collect relevant data from 7 : 00 to 18 : 00 on October 11, 2019. And predict and evaluate its water quality. The experimental results show that the average absolute error of predicting dissolved oxygen content is 0.97%, and the average absolute error of predicting phosphorus content is 2.27%. This shows that the application of artificial intelligence algorithms in the process of ecological water environmental governance can effectively help collect effective information and make more accurate predictions and evaluations of water quality, thereby improving governance efficiency and promoting sustainable economic growth.


Processes ◽  
2018 ◽  
Vol 6 (10) ◽  
pp. 182 ◽  
Author(s):  
Fang He ◽  
Jianguo Wang

No unified electromagnetic anti-fouling mechanism is currently available. Most research has focused on the effects of structural parameters and water quality parameters on electromagnetic fields; variations in water quality parameters under the influence of electromagnetic fields have not been reported. A variable-frequency vertical electromagnetic field is proposed in this study. Relationships between conductivity, pH value, dissolved oxygen, turbidity, fouling resistance, and magnetic acting time were carefully analyzed using statistical analysis. Results show that the conductivity difference was the most explanatory predictive variable on magnetic acting time in the multiple stepwise regression model. Magnetic acting time has a greater impact on conductivity than pH value and dissolved oxygen. Conductivity is used as an adaptive feedback control parameter for the optimum anti-fouling state. Fouling resistance on the heat-exchanging surface of the magnetic experiment was smaller than that of the contrast experiment. The anti-fouling efficiency in 1 kHz and 5 kHz magnetic and contrast experiments was 91.23% and 46.97%, respectively. Better anti-fouling performance was realized under the influence of low-frequency electromagnetic fields, confirming that physical water treatment is an effective and environmentally friendly method to eliminate heat exchanger fouling. This research serves as a reference for the development of an electromagnetic-adaptive closed-loop water treatment device.


TAPPI Journal ◽  
2014 ◽  
Vol 13 (9) ◽  
pp. 51-60
Author(s):  
DENNIS VOSS ◽  
HANS-JOACHIM PUTZ ◽  
SAMUEL SCHABEL

The need for deinking mills to reduce their fresh water consumption has resulted in higher loads of various contaminants in the process water. Lower recovered paper quality also leads to higher contamination levels in the mills. This higher load has an influence on achievable target brightness. The objective of the work was to determine and explain the main reasons for relatively poor deinked pulp quality or poor deinking potential based on the influence of recovered paper composition and process water quality. The process water parameters significantly affect the deinking potential of recovered paper. The test results showed the negative effects of increased water hardness. For standard recovered paper mixtures, flotation selectivity is higher with increasing flotation pH-value. Good results were realized for standard recovered paper with low hardness, low surface tension, and high pH-value. The results for recovered paper containing flexo newsprint could be slightly improved with low hardness, low surface tension, and low pH-value. The results of the test program using design of experiments showed interacting effects of pH-value and surface tension on luminosity and flotation selectivity.


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