UV spectra analysis for water quality monitoring in a fuel park wastewater treatment plant

Chemosphere ◽  
2006 ◽  
Vol 65 (5) ◽  
pp. 786-791 ◽  
Author(s):  
N.D. Lourenço ◽  
C.L. Chaves ◽  
J.M. Novais ◽  
J.C. Menezes ◽  
H.M. Pinheiro ◽  
...  
Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1096 ◽  
Author(s):  
Ramón Martínez ◽  
Nuria Vela ◽  
Abderrazak el Aatik ◽  
Eoin Murray ◽  
Patrick Roche ◽  
...  

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.


Desalination ◽  
2008 ◽  
Vol 226 (1-3) ◽  
pp. 231-248 ◽  
Author(s):  
Erdogan Okus ◽  
Izzet Ozturk ◽  
Halil Ibrahim Sur ◽  
Ahsen Yuksek ◽  
Seyfettin Tas ◽  
...  

2016 ◽  
Vol 42 (4) ◽  
pp. 48-57 ◽  
Author(s):  
Zhang Chunhui ◽  
Wang Liangliang ◽  
Gao Xiangyu ◽  
He Xudan

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.


2010 ◽  
Vol 61 (10) ◽  
pp. 2645-2652 ◽  
Author(s):  
S. Heusch ◽  
B. Kamradt ◽  
M. Ostrowski

In the federal state of Hesse in Germany the application of an integrated software modelling framework is becoming part of the planning process to attain legal approval for the operation of combined sewer systems. The software allows for parallel simulation of flow and water quality routing in the sewer system and in receiving rivers. It combines existing pollution load model approaches with a simplified version of the River Water Quality Model No. 1 (RWQM1). Comprehensive simulation of the wastewater treatment plant (WWTP) is not considered yet. The paper analyses alternatives for the implementation of a WWTP module to model activated sludge plants. For both primary and secondary clarifiers as well as for the activated sludge process concepts for the integration into the existing software framework were developed. The activated sludge concept which uses a linearized version of the well known ASM1 model is presented in detail.


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