scholarly journals Immobilization of microorganisms in activated zeolite beads and alkaline pretreated straws for ammonium-nitrogen removal from urban river water

2021 ◽  
Author(s):  
Van Tai Tang ◽  
Qiuhong Li ◽  
Eldon R. Rene ◽  
Shishir Kumar Behera ◽  
Afshin Maleki ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Ammonium Nitrogen ◽  
Urban River ◽  
Breeding Habitat ◽  
Microbial Community Analysis ◽  
Treated Wastewater ◽  
Urban Rivers ◽  
Residential Areas ◽  
N Removal

Abstract The non-treated wastewater from residential areas contains high concentration of ammonium-nitrogen (NH4+-N). When discharged into the drainage water system, it deteriorates the water quality in urban rivers. This study used two types of materials to form eco-bags, using activated zeolite bead (AZB) and alkaline pretreated straw (APS), in geotextile bags for easy recovery and reuse. The AZB and APS provided the breeding habitat for the microorganisms that promoted biofilm formation on their surface. The immobilization of engineered denitrification microorganisms facilitated the removal of NH4+-N from the urban river water. The NH4+-N removal in the AZB and APS bags were in the range of 64–73%, and 56–61%, respectively, while the chemical oxygen demand (COD) removal in the AZB and APS bags ranged from 33–36%, and 30–31%, respectively. Besides, as evident from DNA and microbial community analysis, the microorganisms demonstrated a greater proclivity to grow and proliferate on the surface of AZB and APS and improved the water quality of urban rivers.

Analysis of water pollution and evaluation of purification measures in an urban river basin

1996 ◽  
Vol 34 (12) ◽  
pp. 33-40 ◽  
Author(s):  
Y. Hosoi ◽  
Y. Kido ◽  
H. Nagira ◽  
H. Yoshida ◽  
Y. Bouda
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Basin ◽  
Urban Areas ◽  
River Flow ◽  
Sea Water ◽  
Water Quality Management ◽  
River Water Quality ◽  
Urban River ◽  
Pollutant Load

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.

Monitoring Urban River Water Quality Using Macroinvertebrate and Physico-Chemical Parameters: Case study of Penchala River, Malaysia

2013 ◽  
Vol 13 (6) ◽  
pp. 474-482 ◽  
Author(s):  
Akmal Mahazar ◽  
Mohammad Shuhaimi-O ◽  
Ahmad Abas Kutty ◽  
Mohamed Nor Mohamed De
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Urban River ◽  
Chemical Parameters ◽  
Physico Chemical

scholarly journals Improved Principal Component-Fuzzy Comprehensive Assessment Coupling Model for Urban River Water Quality: A Case Study in Chongqing, China

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1375
Author(s):  
Siyuan Zhao ◽  
Jing Chen ◽  
Qiu Jin ◽  
Huazu Liu ◽  
Wei Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Principal Component ◽  
Coupling Model ◽  
Domestic Sewage ◽  
Comprehensive Assessment ◽  
River Water Quality ◽  
Urban River ◽  
Fuzzy Comprehensive Assessment

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.

scholarly journals Optimization of water flushing in lowland urban river in Jiaxing, Zhejiang using dissolved oxygen as the indicator

2018 ◽  
Vol 246 ◽  
pp. 02048
Author(s):  
Peiying Tan ◽  
David Z. Zhu ◽  
Yiping Zhang ◽  
Yongchao Zhou
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Water Temperature ◽  
Urban River ◽  
Saturation Level ◽  
Evaluation Index ◽  
Urban Rivers ◽  
Time Intervals ◽  
Exponential Relationship ◽  
Do Concentration

River flushing has been considered as an effective tool for improving water quality in heavily polluted urban rivers. Dissolved oxygen (DO) as the evaluation index of water quality varied with time during and after water flushing. The time intervals between the flushing should be optimized such that the DO concentration remains above 2mg/L in the river. The duration between the flushing was found to be mainly correlated to the water temperature and the saturation level of dissolved oxygen. For the study river, when the temperature was below 15 ℃, there was an exponential relationship between the duration and saturation level of DO. For instance, the estimated duration was 157 hours or about 7 days for the subsequent flushing when the saturation level of DO was 90%. This duration was no more than 2 days when the temperature was above 15 ℃.

scholarly journals MODELING AND FORECASTING OF THE STATUS OF SURFACE WATER POLLUTION OF THE STYR RIVER

2021 ◽  
pp. 395-409
Author(s):  
Anatolii Kondratiuk
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Decision Making ◽  
Surface Water ◽  
River Water ◽  
River Water Quality ◽  
Treated Wastewater ◽  
Environmental Damage ◽  
Gradual Improvement ◽  
Surface Water Pollution

The main sources of surface water pollution are determined, mathematical models describing the change of values of chemical and bacteriological indicators of river water quality are considered, the consequences of influence of untreated or under-treated wastewater discharged into rivers on the quality of water in it are substantiated, predictive models of the state of pollution of surface waters are built on the basis of GIS of the Styr River at five observation stations within the Volyn and Rivne regions for the period up to 2022, it has been proved that periodic monitoring of surface water pollution is sufficient for their qualitative forecasting of their condition, etc. In recent decades, GIS has been an effective tool for wastewater management and, therefore, more effective decision-making, as it greatly simplifies the processing of large amounts of geospatial and attributive data. The use of GIS provides the integration of maps to identify places of potential pollution and geographical indication of pollution in different parts of the river, downstream to the outlets of wastewater. Studies of river processes have always been conducted primarily to study their impact on river water quality. Water quality is the main characteristic of rivers in the analysis of their ecological condition and in terms of water use. Our study emphasizes the feasibility and effectiveness of short-term continuous monthly measurement of water quality and the development of the river index in order to focus management decisions on the gradual improvement of water quality. In this study, mathematical modeling of river pollution forecasting was used and forecast diagrams for 2021-2022 were constructed. As a result, these data will be an effective environmental decision-making tool for the implementation of optimal engineering controls at points of interest to prevent environmental damage and protect human health.

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