The Field Application of Microbial Technology Used in Bioremediation of Urban Polluted River

2012 ◽  
Vol 518-523 ◽  
pp. 2906-2911 ◽  
Author(s):  
Xia Wu ◽  
Yue Bo Xie

This paper studies on the field application of microbial technology used in bioremediation of urban polluted river. Xuxi River, a heavily polluted urban river, had been maken the treatment as the research object. In this treatment, Xuxi River was directly added indigenous microorganism agent and microbiological accelerating agent into the river water and sediment in the special inoculation way, without artificial aeration and sediment dredging. After this treatment, the removal rates of COD, TP and NH3-N are up to 43%、56% and 58%, DO increases to 2mg/L, the Nemerow index reduces to 2.2 from 6.4, and a lot of water earthworms and a school of fish reappear. The results indicate that this microbial technology can effectively alleviate the pollution, promote the water quality, and restore the river ecosystem.

2021 ◽  
Author(s):  
Joaquim Farguell

<p>It is well known that mining activities have negative effects on fluvial ecosystems. Such activities alter the water quality by introducing heavy metals and associated pollutants and alter the sediment regime by creating a point source sediment that may affect the entire basin. </p><p>In the Llobregat River, a medium Mediterranean river basin (ca. 5000 km<sup>2</sup>), potash salt mining activities have been undertaken for several decades. Salinisation of surface river water has become an environmental issue of great concern for the water administrators given that the water of this river supplies half of the population of the metropolitan area of Barcelona (ca. 2,500,000 inhabitants) and it is also used for irrigation in the lowermost part of the river and its delta.</p><p>This study aims to describe the magnitude of the dissolved solids inputs that are detected in the river surface water after rainfall events by means of continuous electrical conductivity monitoring. Electrical conductivity records (EC) were obtained from an automatic water quality monitoring station set by the Water Catalan Authorities and located 3 km downstream from the potash mountain waste.  The study also tries to predict the EC peak according to different hydrometeorological parameters selected from the episodes recorded.</p><p>Data analysed was continuously recorded at 15-minute interval between January 1st, 2018 and September 30th, 2020 and a total of 74 EC episodes were considered. Mean EC of the episodes recorded was 3,488 µS/cm, with a standard deviation of 3,638 µS/cm, and a coefficient of variation of 104.3%. The median was 2,390 µS/cm. Data obtained show that after rainfall events a peak of electrical conductivity in the river is detected. However, it exhibits a high variability in its magnitude, ranging from 939 µS/cm up to 26,900 µS/cm. Despite this, the coefficients of determination of the regression lines between the meteorological variables, such as rainfall intensity or total rainfall amount, and the peak EC exhibit poor correlations (R<sup>2</sup>=0.355 and R<sup>2</sup>=0.229, respectively), although they are significant.</p><p>Results indicate that washload processes in the salt mountain waste take place and reach the river producing extremely high EC peak values during a short period of time. Such values can have harmful effects on the river ecosystem and affect the lowerland river area, where water is diverted for potabilization and irrigation purposes. However, the low correlation between rainfall and EC peak indicates that additional variables intervene in the rainfall-runoff processes and further research is required to fully understand the connectivity and transmission of the salt moutain waste into the river. Understanding such processes and analyasing the consequences on the fluvial system, will probably be the way to tackle the restoration of this enormous impact on this river ecosystem.</p>


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.


2013 ◽  
Vol 13 (6) ◽  
pp. 474-482 ◽  
Author(s):  
Akmal Mahazar ◽  
Mohammad Shuhaimi-O ◽  
Ahmad Abas Kutty ◽  
Mohamed Nor Mohamed De

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1375
Author(s):  
Siyuan Zhao ◽  
Jing Chen ◽  
Qiu Jin ◽  
Huazu Liu ◽  
Wei Yang ◽  
...  

An improved principal component-fuzzy comprehensive assessment coupling model for urban river water quality is proposed, which fully considers the influence of water quality and quantity. This model can not only choose the key indexes, but also specify the spatial variation and class of water quality. This proposed model was used to assess the water quality of the Qingshui and Fenghuang streams in Chongqing, China. Data of twelve indexes used in the assessment were collected from 17 monitoring points. The assessment results show that the key indexes include TN, TP, NH3-N, CODcr, pH, DO and velocity. Water quality of 14 monitoring points is classified as class Bad V, and that of the remaining points is class V. Mainly affected by the deposition of garbage and discharge of domestic sewage, water quality of the midstream is the worst. The upstream is mainly influenced by farmland non-point source pollution and rural domestic sewage pollution. The downstream is close to the scenic area, and environmental control measures such as river dredging and artificial aeration are regularly carried out. The water quality of it is the best. The results provide valuable information that allow local environmental departments to discover the source of pollutant and formulate water resource management strategies.


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