IMPACT OF BUCHAREST WASTEWATER ON DAMBOVITA RIVER WATER QUALITY (2010-2015)

2021 ◽  
Vol 16 (1) ◽  
pp. 47-58
Author(s):  
Rodica-Mihaela FRÎNCU ◽  
◽  
Olga IULIAN
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Total Phosphorus ◽  
Treatment Plant ◽  
Principal Component ◽  
Monitoring Data ◽  
International Regulations ◽  
Annual Means ◽  
Positive Correlations ◽  
Under Construction

Bucharest, the capital of Romania, is located on the banks of Dambovita River, tributary of Arges River, which, in its turn, flows into the Danube, the second longest river in Europe. Until 2011, Bucharest wastewater treatment plant (WWTP) had no advanced treatment, and since the end of 2011 the plant is able to treat half of the incoming flow. The second upgrading phase is under construction. This paper presents monitoring data of Dambovita River, upstream and downstream from Bucharest WWTP, during the period 2010-2015. Annual means of main nutrients concentrations show that water quality was mostly in the first class before the WWTP, according to Romanian norms, and in the worst class downstream from the WWTP, particularly for ammonium and total phosphorus, which are indicators of sewerage pollution. Pollution is attenuated by dilution after confluence with the Arges River. Principal Component Analysis and factor analysis of monitoring data show the differences between sampling locations and strong positive correlations between ammonium, orthophosphates and total phosphorus. Nutrient pollution downstream from Bucharest has decreased after 2010, but more efforts to improve wastewater treatment are needed in order to comply with national and international regulations.

Assessment of water quality and source apportionment in a typical urban river in China using multivariate statistical methods

2018 ◽  
Vol 18 (5) ◽  
pp. 1841-1851 ◽  
Author(s):  
Jingshui Huang ◽  
Ruyi Xie ◽  
Hailong Yin ◽  
Qi Zhou
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Principal Component ◽  
Urban River ◽  
Urban Rivers ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Wastewater Treatment Plant Effluent

Abstract Water quality in urban rivers is a product of the interactions of human activities and natural processes. To explore water quality characteristics and to assess the impacts of natural and anthropogenic processes on urban river systems, we used multivariate statistical techniques to analyse water quality of a typical urban river in eastern China. Cluster analysis grouped the sites into four clusters which were affected by wastewater treatment plant effluent, untreated domestic sewage, tributaries and shipping, respectively. Cluster analysis provided scientific basis for optimizing the monitoring scheme. Three latent factors obtained from principal component analysis/factor analysis were interpreted as wastewater treatment plant effluent, untreated domestic sewage and surface runoff. Absolute principal component analysis indicated that most of the total dissolved phosphorus, nitrite, total dissolved nitrogen, and total nitrogen, Na, K and Cl resulted from the wastewater treatment plant effluent, most of the ammonia, dissolved organic carbon, sulfate and Mg resulted from the surface runoff. The pollution control measures for nitrogen and phosphorus were proposed based on the source apportionment results. The present study showed that the multivariate statistical methods are effective to identify the main pollution sources, quantify their relative contributions and provide useful water management suggesitions in urban rivers.

scholarly journals Aerial Mapping of Odorous Gases in a Wastewater Treatment Plant Using a Small Drone

2021 ◽  
Vol 13 (9) ◽  
pp. 1757
Author(s):  
Javier Burgués ◽  
María Deseada Esclapez ◽  
Silvia Doñate ◽  
Laura Pastor ◽  
Santiago Marco
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Principal Component ◽  
Hazardous Air Pollutants ◽  
Sampling System ◽  
Aerial Mapping ◽  
Sensor Signals ◽  
Current Monitoring ◽  
Flexible Tubes

Wastewater treatment plants (WWTPs) are sources of greenhouse gases, hazardous air pollutants and offensive odors. These emissions can have negative repercussions in and around the plant, degrading the quality of life of surrounding neighborhoods, damaging the environment, and reducing employee’s overall job satisfaction. Current monitoring methodologies based on fixed gas detectors and sporadic olfactometric measurements (human panels) do not allow for an accurate spatial representation of such emissions. In this paper we use a small drone equipped with an array of electrochemical and metal oxide (MOX) sensors for mapping odorous gases in a mid-sized WWTP. An innovative sampling system based on two (10 m long) flexible tubes hanging from the drone allowed near-source sampling from a safe distance with negligible influence from the downwash of the drone’s propellers. The proposed platform is very convenient for monitoring hard-to-reach emission sources, such as the plant’s deodorization chimney, which turned out to be responsible for the strongest odor emissions. The geo-localized measurements visualized in the form of a two-dimensional (2D) gas concentration map revealed the main emission hotspots where abatement solutions were needed. A principal component analysis (PCA) of the multivariate sensor signals suggests that the proposed system can also be used to trace which emission source is responsible for a certain measurement.

Water quality of the Beli Lom river

1999 ◽  
Vol 39 (8) ◽  
pp. 55-62 ◽  
Author(s):  
Anastasios I. Stamou ◽  
Bogdana Koumanova ◽  
Stoyan Stoyanov ◽  
Georgy Atanasov ◽  
Konstantinos Pipilis
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Finite Difference ◽  
Treatment Plant ◽  
Quality Characteristics ◽  
Order Model ◽  
The Third ◽  
Do Concentration

A general methodology for the study of water quality in rivers is presented. The paper consists of four parts. In the first part the general characteristics of the area of study, which is the Beli Lom river, and its major pollution sources are presented. The effluent of the Razgrad Wastewater Treatment Plant (RWWTP) has been identified as the most significant pollution point source, due to the inadequate performance of the plant. The second part deals with data collection and processing. Four series of data have been collected, including physical, flow and water quality characteristics. In the third part a 1-d, finite-difference, second-order model is presented. In the fourth part, the model is calibrated, for the determination of its main coefficients, and is successfully verified by predicting the BOD and DO concentrations in the Beli Lom river for all series of data. Finally, the model has been applied to determine the maximum BOD and minimum DO effluent concentrations of the RWWTP, so that a minimum DO concentration is maintained throughout the river.

New approach for data evaluation of industrial wastewater treatment plant: methodology and case study for a coke and steel-processing plant

2009 ◽  
Vol 60 (11) ◽  
pp. 2897-2903
Author(s):  
Christian Drakides ◽  
Meiling Lay-Son
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Principal Component ◽  
Industrial Effluents ◽  
Toxic Effects ◽  
Processing Plant ◽  
Complex Situation ◽  
Haldane Model ◽  
Steel Processing

Environmental monitoring of biological wastewater treatment plants (BWWTP) treating industrial effluents produces large amount of data. Frequent sampling is done in the influent and effluent but also in intermediate points. Samples are analyzed for classical and specific contaminants and physical-chemical parameters are monitored. In this paper data from a BWWTP treating the effluents of a coke and steel-processing factory are analyzed. Due to a complex situation, this BWWTP gave poor performances that did not match environmental regulations, meanwhile upgrading proved to be uneasy. Data analysis using principal component analyses (PCA) or kinetic modeling with a Haldane model was unsuccessful in handling these data, which was attributed to undetermined toxic effects. A new methodology is reported, that allowed to identify a kinetics for thiocyanate degradation and a relation between pH and toxic effects. This analysis of the plant data allowed to make hypothesis on the process control parameters and to recommend management modifications, allowing a further increase of the performances.

Management of the Occoquan River basin: a 20-year case history

1995 ◽  
Vol 32 (5-6) ◽  
pp. 235-243 ◽  
Author(s):  
C. W. Randall ◽  
T. J. Grizzard
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Drinking Water ◽  
Wastewater Treatment ◽  
Water Supply ◽  
Land Use Changes ◽  
Treatment Plant ◽  
Water Reservoir ◽  
Land Use Management ◽  
Early Results

The high dam on the Occoquan River of Northern Virginia, United States of America, was constructed in 1957, forming a drinking water reservoir with a capacity of 37.1 × 106m3 formed by drainage from a 1 460 km2 watershed, and providing a safe yield of 189 251 m3 per day. Deteriorating water quality in the late 1960s led to a special “policy” for the watershed, designed to preserve the reservoir as a drinking water supply. Key provisions of the policy mandated replacement of the watershed's 11 publicly owned wastewater treatment works with a single advanced wastewater treatment plant (AWT), and establishment of the Occoquan Watershed Monitoring Programme. Early results from the programme established non-point nutrient pollution as a major cause of water quality deterioration and resulted in the implementation of non-point pollution controls throughout the watershed during the late 1970s. The AWT plant went on-line in July 1978. Continuous monitoring since 1973 has demonstrated both the necessity and the effectiveness of point and non-point nutrient controls for the preservation of the reservoir's water quality. The AWT plant provides excellent removal of organics and phosphorus, plus complete nitrification. The nitrates are discharged to the receiving stream to enhance conditions in the reservoir. Control policies include land-use management for the preservation of this essential water supply for 750 000 people in the Washington, D.C. suburbs. Land-use management decisions are based on the results obtained with a watershed-reservoir linked computer model which predicts water quality changes resulting from land-use changes.

scholarly journals On the Use of an IoT Integrated System for Water Quality Monitoring and Management in Wastewater Treatment Plants

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1096 ◽  
Author(s):  
Ramón Martínez ◽  
Nuria Vela ◽  
Abderrazak el Aatik ◽  
Eoin Murray ◽  
Patrick Roche ◽  
...  
Keyword(s):  
Water Quality ◽  
Wireless Sensor Networks ◽  
Wastewater Treatment ◽  
Sensor Networks ◽  
Low Cost ◽  
Treatment Plant ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Smart Water

The deteriorating water environment demands new approaches and technologies to achieve sustainable and smart management of urban water systems. Wireless sensor networks represent a promising technology for water quality monitoring and management. The use of wireless sensor networks facilitates the improvement of current centralized systems and traditional manual methods, leading to decentralized smart water quality monitoring systems adaptable to the dynamic and heterogeneous water distribution infrastructure of cities. However, there is a need for a low-cost wireless sensor node solution on the market that enables a cost-effective deployment of this new generation of systems. This paper presents the integration to a wireless sensor network and a preliminary validation in a wastewater treatment plant scenario of a low-cost water quality monitoring device in the close-to-market stage. This device consists of a nitrate and nitrite analyzer based on a novel ion chromatography detection method. The analytical device is integrated using an Internet of Things software platform and tested under real conditions. By doing so, a decentralized smart water quality monitoring system that is conceived and developed for water quality monitoring and management is accomplished. In the presented scenario, such a system allows online near-real-time communication with several devices deployed in multiple water treatment plants and provides preventive and data analytics mechanisms to support decision making. The results obtained comparing laboratory and device measured data demonstrate the reliability of the system and the analytical method implemented in the device.

scholarly journals Antibiotics in WWTP discharge into the Chaobai River, Beijing

2016 ◽  
Vol 42 (4) ◽  
pp. 48-57 ◽  
Author(s):  
Zhang Chunhui ◽  
Wang Liangliang ◽  
Gao Xiangyu ◽  
He Xudan
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Treatment Plant ◽  
Water Quality Monitoring ◽  
Environmental Distribution ◽  
Receiving River ◽  
Dominant Point ◽  
Aerated Filter ◽  
Beijing China

Abstract22 representative antibiotics, including 8 quinolones (QNs), 9 sulfonamides (SAs), and 5 macrolides (MCs) were selected to investigate their occurrence and removal efficiencies in a Wastewater Treatment Plant (WWTP) and their distribution in the receiving water of the Chaobai River in Beijing, China. Water quality monitoring was performed in an integrated way at different selected points in the WWTP to explore the potential mechanism of antibiotics removal during wastewater treatment. Water quality of the Chaobai River was also analyzed to examine environmental distribution in a river ecosystem. The results showed that within all the 22 compounds examined, 10 antibiotics were quantified in wastewater influent, 10 in effluent, and 7 in river. Sulfadiazine (SDZ, 396 ng/L) and Sulfamethazine (SMZ, 382 ng/L) were the dominating antibiotics in the influent. Both the conventional treatment and advanced Biological Aerated Filter (BAF) system was important for the removal of antibiotics from the wastewater. And the concentrations of selected antibiotics were ranged from 0-41.8 ng/L in the effluent-receiving river. Despite the fact that the concentrations were reduced more than 50% compared to effluent concentrations, WWTP discharge was still regarded as a dominant point-source input of antibiotics into the Chaobai River.

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