Literature DB >> 21359999

Investigation of urban water quality using simulated rainfall in a medium size city of China.

Bo Bian1, Xiao-Juan Cheng, Lei Li.   

Abstract

Road-deposited sediment (RDS) is an important environmental medium for impacting the characteristics of pollutants in stormwater runoff; it is of critical importance to investigate the water quality of urban environments. The paper develops a rainfall simulator as an important research tool to ensure homogeneity and reduce the large number of variables that are usually inherent to urban water quality research. The rainfall simulator was used to experiment runoff samples from typical residential and traffic areas in the Zhenjiang. The data show that land use is one of the major factors contributing to the difference in the pollutants concentration in the RDS. The maximum mean EMC for TN, TDN, TP, and TDP at residential area was 5.52, 3.07, 1.65, and 0.36 mg/L, respectively. The intense traffic area displayed the highest metal concentrations. Concentrations of runoff pollutants varied greatly with land use and storm characteristics. The correlation of pollutant concentrations with runoff times was another predominant phenomenon. Peaks in pollutants concentration occurred at 1 and 10 min during the whole storm event. A concentration peak that correlates with a peak in runoff flowrate correlates with rainfall intensity. The pollutant loadings (kilograms per hectare) in the Zhenjiang were 11.39 and 55.28 for COD, 8.42 and 57.48 for SS, 0.11 and 0.88 for TN, 0.02 and 0.14 for TP, 0.02 and 0.09 for Zn, and 0.01 and 0.04 for Pb. The higher rainfall contribute to the higher pollutant loading at the residential and intense traffic areas, as a result of the pollutant loadings direct dependence on rainfall intensity. The results confirmed that the rainfall simulator is a reliable tool for urban water quality research and can be used to simulate pollutant wash-off. These findings provide invaluable information for the development of appropriate management strategies to decrease nonpoint source contamination loading to the water environment in urban areas.

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Year:  2011        PMID: 21359999     DOI: 10.1007/s10661-011-1916-y

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  6 in total

1.  Loading estimates of lead, copper, cadmium, and zinc in urban runoff from specific sources.

Authors:  A P Davis; M Shokouhian; S Ni
Journal:  Chemosphere       Date:  2001-08       Impact factor: 7.086

2.  Analysis and predictive models of stormwater runoff volumes, loads, and pollutant concentrations from watersheds in the Twin Cities metropolitan area, Minnesota, USA.

Authors:  Patrick L Brezonik; Teresa H Stadelmann
Journal:  Water Res       Date:  2002-04       Impact factor: 11.236

3.  Evaluation of urban non-point source runoff of hazardous metals entering Santa Monica Bay, California.

Authors:  M S Buffleben; K Zayeed; D Kimbrough; M K Stenstrom; I H Suffet
Journal:  Water Sci Technol       Date:  2002       Impact factor: 1.915

4.  First flush analysis of urban storm runoff.

Authors:  J H Lee; K W Bang; L H Ketchum; J S Choe; M J Yu
Journal:  Sci Total Environ       Date:  2002-07-03       Impact factor: 7.963

5.  Understanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfall.

Authors:  Lars Herngren; Ashantha Goonetilleke; Godwin A Ayoko
Journal:  J Environ Manage       Date:  2005-04-02       Impact factor: 6.789

6.  Heavy metal contamination of road-deposited sediments in a medium size city of China.

Authors:  Wei Zhu; Bo Bian; Lei Li
Journal:  Environ Monit Assess       Date:  2007-12-18       Impact factor: 2.513

  6 in total

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