Sen Peng

Tianjin University, T’ien-ching-shih, Tianjin Shi, China

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Publications (8)13.04 Total impact

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    ABSTRACT: Three identical submerged ultrafiltration (UF) membranes with different pretreatment processes (coagulation, adsorption and ozonation) were compared with an individual UF membrane to investigate the performance of the process and characterize organic membrane foulants by natural organic matter (NOM) molecular weight distribution (MWD) and chemical fraction techniques. The results indicated that the preferred amount of organic matter removal was achieved in three integrated processes (coagulation/UF, adsorption/UF, ozonation/UF), and the trans-membrane pressure (TMP) increased at a rate much lower than that in an individual UF membrane. The ozonation pretreatment, with O3 as an oxidant, improved the > 10 kDa NOM fraction removal and hindered the < 3 kDa NOM fraction removal for raw water, while the adsorption pretreatment, with powdered activated carbon (PAC) as an adsorbent, improved the < 10 kDa NOM fraction removal. The total NOM content of internal foulants extracted from the three integrated processes was lower than UF, indicating that all three pretreatments could reduce the accumulation of NOM in the membrane pores. The PAC/UF had a distinct advantage for removing NOM in effluent. It is observed that the hydrophilic matter (HiM) chemical fraction removal rate of O3/UF was lower than in the other three processes.
    Desalination 03/2015; 360. DOI:10.1016/j.desal.2015.01.022 · 3.96 Impact Factor
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    ABSTRACT: Eutrophication models have been widely used to assess water quality in landscape lakes. Because flow rate in landscape lakes is relatively low and similar to that of natural lakes, eutrophication is more dominant in landscape lakes. To assess the risk of eutrophication in landscape lakes, a set of dynamic equations was developed to simulate lake water quality for total nitrogen (TN), total phosphorous (TP), dissolve oxygen (DO) and chlorophyll a (Chl a). Firstly, the Bayesian calibration results were described. Moreover, the ability of the model to reproduce adequately the observed mean patterns and major cause-effect relationships for water quality conditions in landscape lakes were presented. Two loading scenarios were used. A Monte Carlo algorithm was applied to calculate the predicated water quality distributions, which were used in the established hierarchical assessment system for lake water quality risk. The important factors affecting the lake water quality risk were defined using linear regression analysis. The results indicated that the variations in the landscape lake receiving recharge water quality caused considerable landscape lake water quality risk in the surrounding area. Moreover, the Chl a concentration in lake water was significantly affected by TP and TN concentrations; the lake TP concentration was the limiting factor for growth of plankton in lake water. The lake water TN concentration provided the basic nutritional requirements. Lastly, lower TN and TP concentrations in the receiving recharge water caused increased lake water quality risk.
    Environmental Monitoring and Assessment 01/2015; 187(1):4169. DOI:10.1007/s10661-014-4169-8 · 1.68 Impact Factor
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    ABSTRACT: Phytoremediation was applied to repair heavy metal-polluted sewage river dredged sediments in a coastal city of China. Six types of plants were used: Zea mays L.,Lolium multiflorum Lam., Medicago sativa L., Brassica junce, Elsholtzia splenden and Festuca arundinacea Scherb. A relationship between the concentration of heavy metal Ni and the bacteria diversity in the rhizosphere sediment was analyzed based on the PCR–DGGE (polymerase chain reaction-denatured gradient gel electrophoresis). The results indicated that the quantities and types of microorganism in the rhizosphere sediments differed depending on the type of plant. In three types of plants, the phytoremediation efficiency was highest midway through planting, while the repair effect was highest at harvest time for the other three types of plants. The repair effect order of the former three types of plants was Zea mays L.> Lolium multiflorum Lam.> Festuca arundinacea Scherb, and the repair effect order of the other three types of plants was Brassica junce> Medicago sativa L.> Elsholtzia splenden. The bacteria community structure of Zea mays L. changes faster than that of the other plants and stabilizes faster when adapted to the rhizosphere environment. Based on the repair effect and the repair time, Zea mays L. is the best plant for Ni phytoremediation. During the growth of plants, the change in the DGGE fingerprint of the bacteria diversity in different periods is similar to the change in the concentration of Ni in the rhizosphere soil. The dominant types of rhizosphere bacteria are plant- and growth period-specific. The Shannon index of the same plant for different growth periods was calculated, and the results indicated that the diversity index changes with the repair process.
    Ecological Engineering 12/2014; 73:311–318. DOI:10.1016/j.ecoleng.2014.09.088 · 3.04 Impact Factor
  • Weina Su, Yimei Tian, Sen Peng
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    ABSTRACT: In this paper, we investigated the influence of sodium hypochlorite (NaClO) biocide on the corrosion of carbon steel in four different conditions during one dosing cycle. The results from the polarisation curve and electrochemical impedance spectroscopy (EIS) indicated that NaClO could affect the activity of microorganisms, leading to corrosion inhibition. The equivalent circuits had two time constants in the presence of biocide, which suggested that an oxide layer of NaClO was formed on the carbon steel surface. Environmental scanning electron microscopy (ESEM) and energy dispersive spectroscopy (EDS) were both employed to demonstrate that NaClO produced a good antibacterial activity, thereby indirectly retarding corrosion while simultaneously inhibiting scaling.
    Applied Surface Science 10/2014; 315:95–103. DOI:10.1016/j.apsusc.2014.07.095 · 2.54 Impact Factor
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    ABSTRACT: This paper investigates the water quality characteristics of rainwater runoff from dual-substrate-layer green roofs in Tianjin, China. The data were collected from four different assemblies and three types of simulated rains. The storm-water runoff quality was monitored from early June through late October 2012 and from July through late November 2013. The results revealed that the runoff water quality would be improved to some extent with the ageing of green roofs and that the quality retention rate better reflected the pollutant retention capacity of the green roof than the pollutant concentration in the runoff water. The investigation clearly demonstrated that green roofs also effectively reduced the chemical oxygen demand and turbidity value and neutralised acid rain to stabilise the pH of the runoff.
    Water Science & Technology 10/2014; 70(7):1205-1210. DOI:10.2166/wst.2014.358 · 1.21 Impact Factor
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    ABSTRACT: The integration of water quality analysis simulation program (WASP) with a geographical information system (GIS) is presented. This integration was undertaken to enhance the data analysis and management ability of the widely used water quality model. Different types of data involved in WASP modeling were converted and integrated into GIS using a database method. The spatial data modeling and analysis capability of GIS were used in the operation of the model. The WASP water quality model was coupled with the environmental fluid dynamics code (EFDC) hydrodynamic model. A case study of the Lower Charles River Basin (Massachusetts, USA) water quality model system was conducted to demonstrate the integration process. The results showed that high efficiency of the data process and powerful function of data analysis could be achieved in the integrated model, which would significantly improve the application of WASP model in water quality management. Key wordsWater quality analysis simulation program (WASP)-Geographical information system (GIS)-Integration-Environmental fluid dynamics code (EFDC)-Water quality model CLC numberX52-TU98
    Journal of Zhejiang University - Science A: Applied Physics & Engineering 12/2010; 11(12):1015-1024. DOI:10.1631/jzus.A1000244 · 0.61 Impact Factor
  • Sen Peng, Xinhua Zhao
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    ABSTRACT: The aquatic environment is a complicated system with uncertainty. The study of uncertainty in water quality modeling can improve peoplepsilas understanding of the nature of the aquatic environment and it is important to the development of water quality modeling. The typology and sources of uncertainty is represented to improve the understanding and characterizing of the uncertainty in water quality modeling process. And according to the different sources, a comprehensive review on different methods of uncertainty study is made. The integration of different uncertainty methods, mathematical theories and algorithms is an important trend of water quality modeling research. The research on uncertainty is an essential part of water quality modeling. It is suggested that uncertainty should be investigated systemically within the entire process of water quality modeling.
    2009 International Conference on Environmental Science and Information Application Technology, ESIAT 2009, Wuhan, China, 4-5 July 2009, 3 Volumes; 01/2009
  • Sen Peng, Qing Wu, Baoyu Zhuang
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    ABSTRACT: Parameter identification plays an important role in environmental model application. An integrated method of Markov Chain Monte Carlo simulation (MCMC) and EPANET Multi-Species Extension toolkit was constructed for the parameter identification of water quality model of distribution system, taking bacterial regrowth model with chlorine inhibition as an example. Combined with the prior distribution of the model parameters and water quality observation data, an upgraded algorithm called DRAM was introduced to the MCMC sampling to obtain the posterior parameter distribution. Results indicated that this MCMC method has its special advantages in producing posterior distribution and provides robust means of parameter identification of water distribution system modeling.