Jinan Water Group Co.

Jinan, China

Jinan Water Group Co.

Jinan, China
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Li P.,University of Jinan | Li P.,Jinan Water Group Company Ltd | Liu X.,Jinan Water Group Company Ltd | Wang X.,University of Jinan
Acta Chromatographica | Year: 2015

Triclocarban (TCC) and triclosan (TCS) are used in a wide range of household and personal care products and have been the most frequently detected organic pollutants in both wastewater and surface water. This paper presented a rapid analytical method for simultaneous determination of TCC and TCS in wastewater. The method involves the extraction and cleanup of the target compounds by using silicon dioxide/ polystyrene composite microspheres solid-phase extraction and detection with ultra- high-pressure liquid chromatography. Under the optimized conditions, the limits of detection were 0.028 μg/L and 0.040 μg/L for TCC and TCS, respectively. Under the concentrations of the spiking level ranging from 0.100 μg/L to 2.000 μg/L, the spiked recoveries of TCC and TCS in wastewater samples achieved in the range of 89.5-102.8% with RSD below 6.3% for TCC and 95.5-103.6% with RSD below 6.9% for TCS. This method was successfully used in monitoring the water samples from three traditional wastewater treatment plants.

Zhu Z.L.,Shandong Jianzhu University | Zhang C.J.,Shandong Jianzhu University | Weng H.L.,Shandong Construction Project Bidding Center | Li Q.,Jinan Water Group Co.
Frontiers of Energy and Environmental Engineering - Proceedings of the 2012 International Conference on Frontiers of Energy and Environmental Engineering, ICFEEE 2012 | Year: 2013

Urban wastewater treatment plant faces the task of improving water quality by upgrading process. A simple series of traditional treatment processes, based on the secondary treatment, result in a long process, the unreasonable unit, higher investment and operating costs. With the current advanced nutrient removal process, using the concept of wastewater reclamation, this article describes the three urban sewage recycling process, as the recommended case of urban sewage treatment plant transformation. While the article discusses the municipal wastewater treatment plant aeration energy-saving technologies. © 2013 Taylor & Francis Group.

Xu B.,Shandong University | Xu B.,Shandong Jianzhu University | Pei H.,Shandong Jianzhu University | Liu J.,Jinan water Group Co
Applied Mechanics and Materials | Year: 2013

The research was conducted at Shandong Architecture University of Jinan, the capital of Shandong province, China. The lab and onsite experiment was carried from March, 1, 2010 to November, 1, 2010. schoolyard wastewater was pumped to constructed wetland tank. Some conclusions were found: the shale ceramsite had a strong adsorption capacity. The rate of adsorption was very quickly;the effext of Phragmites australis was obviously. The removal rate of COD, TP,TN could raise 10,15,30% seperatively;treating schoolyard wastewater by constructed wetland was feasible. © (2013) Trans Tech Publications, Switzerland.

Ma J.,Qingdao Technological University | Xu Y.,Qingdao Technological University | Lv M.,Qingdao Technological University | Xu H.,Jinan Water Group Co. | And 2 more authors.
Advanced Materials Research | Year: 2012

The water quality chemical stability of Jinan's three waterworks (Quehua, Yuqing and Nanjiao waterworks) was analyzed through determination of several parameters affecting the chemical stability of water quality, including temperature, pH, Ca content, alkalinity, total hardness, total dissolved solids, chlorides, sulfates. For comprehensive and objective evaluation of the chemical stability of water, four water stability indexes LSI, RSI, AI, LR were used in this paper. The resulted index values indicated the corrosion in Jinan water distribution system may occur, and different source waters have different chemical characteristics. Yellow river water (Yuqing and Quehua) is high in chlorides and sulfates, while Nanjiao water is low in chlorides and sulfates. The improvement measure to chemical stability of water quality in Jinan City water distribution system included adding alkalinity, and blending water from different waters to reduce LR. The research proposed a way to control red water problem, which is meaningful to protect pipe works and improve tap water quality. © (2012) Trans Tech Publications, Switzerland.

Xu Y.,Qingdao Technological University | Ma J.,Qingdao Technological University | Lv M.,Qingdao Technological University | Lu W.,Qingdao Technological University | And 3 more authors.
5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 | Year: 2011

A research on the variation of chemical stability parameters of water quality in water distribution system can improve drinking water quality, and provide data for building water quality model. The water quality of Jinan water distribution system was investigated along the water flow path. Important water quality parameters related to chemical stability including dissolved oxygen, chlorine residual, total hardness, alkalinity, chloride, sulfate, fluoride ion, Fe, Mn were discussed. The Two water quality indices, Langelier saturation index and the Ryznar stability index, were calculated in order to evaluate the chemical stability of the drinking water samples. © 2011 IEEE.

Wu S.,Qing Dao Technological University | Lv M.,Qing Dao Technological University | Dong S.,Qing Dao Technological University | Wang J.,Jinan Water Group Corporation | Xu H.,Jinan Water Group Corporation
World Automation Congress Proceedings | Year: 2012

The rule of users' water consumption variation plays an important role in the urban water supply network simulation model. It's the main basis of calculating node flow, and has great influence on the accuracy of the network model and the reliability of the optimization scheduling. Because of the complexity of the variation of water in the urban water supply network simulation modeling process, put forward the clustering analysis to the user according to the actual water consumption data, and reasonable classification method to every kind of users, find out the rule of the typical users' water consumption variation. It lay a solid foundation for the node flow prediction and the accuracy of modeling. © 2012 TSI Press.

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