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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front Envir Sci Eng    0, Vol. Issue () : 531-539    https://doi.org/10.1007/s11783-010-0287-x
RESEARCH ARTICLE
Analysis of rainfall runoff characteristics from a subtropical urban lawn catchment in South-east China
Jinliang HUANG1(), Zhenshun TU3, Pengfei DU2, Qingsheng LI1, Jie LIN1
1. Environmental Science Research Center, Xiamen University, Xiamen 361005, China; 2. Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China; 3. Fujian Institute of Oceanography, Xiamen 361012, China
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Abstract

Characteristics of rainfall runoff from a 3.26?hm2 urban catchment with predominant land-use as lawn in Xiamen City, South-east China were investigated and analyzed. Water quality and quantity measurements of rainfall runoff were conducted for ten rainfall events over the period March, 2008 to April, 2009. The results indicated that chemical oxygen demand (COD) and total phosphorus (TP) were the major pollutants with event mean concentrations of 56.09 and 0.44 mg·L-1. From hydrograph and pollutograph analysis of two typical rainfall events, it was clear that the peak rainfall preceded the peak flowrate by about 15–20 min. Meanwhile, concentrations of major pollutants showed multiple peaks and these peaks usually preceded peak flowrate. There were no distinctive first-flush effects except for the rainfall events with the longest rainfall duration and largest runoff volume, which was verified by the fact that the first 30% runoff volume (FF30) carried 39.36% of the total suspended solids (TSS) load, 35.17% of the COD load, 28.13% of the TP load and 39.03% of the nitrate nitrogen load. Multivariate regression analysis further demonstrated that the total runoff volume had a positive correlation with the FF30 of TSS and COD.

Keywords rainfall runoff      first flush      pollution characteristics      urban lawn catchment     
Corresponding Author(s): HUANG Jinliang,Email:jlhuang@xmu.edu.cn   
Issue Date: 01 August 2012
 Cite this article:   
Jinliang HUANG,Zhenshun TU,Pengfei DU, et al. Analysis of rainfall runoff characteristics from a subtropical urban lawn catchment in South-east China[J]. Front Envir Sci Eng, 0, (): 531-539.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-010-0287-x
https://academic.hep.com.cn/fese/EN/Y0/V/I/531
Fig.1  Location of the study catchment
datetimeduration time/minrainfall depth /mmtotal runoff volume/m3average rainfall intensity/(mm·min-1)antecedent dry weather period/dNo. of samples
2008-03-2216:29-18:01928.6916
2008-04-1210:27-11:32655.452.890.084812
2008-05-059:27-14:132869.3779.090.0331127
2008-05-0915:46-17:239750.762.010.052313
2008-07-2815:17-18:121757.225.390.041822
2008-08-0610:24-11:53894.1658.080.047617
2008-08-2618:07-20:4215514.714.760.095217
2009-03-1318:55-20:451101285.890.109312
2009-03-2719:22-20:47852.469.430.029412
2009-04-1310:37-11:4265442.340.062212
Tab.1  General description of the rainfall events monitored
Fig.2  Definition of the first flush M(V) curve. Y the mass fraction, represents the fraction of the total pollutant mass at any time during the storm event; X the volume fraction, represents the fraction of the total runoff volume that has occurred by time for an event
pollutantsrainfall eventsEMCs /( mg·L-1)pollution loads (mean) /(kg·hm-2)EMC of urban or roads [5]/(mg·L-1)Class V surface water quality standard (GB3838-2002) [34]
minmaxmeanCVminmax
TSS105.4851.2721.510.78240.3260283-
COD1014.91111.9756.090.56840.6716130≤40
TP70.141.170.440.86360.00470.050.52≤0.4
NH3-N60.291.380.880.46590.01180.220.83≤2.0
NO3+2-N60.363.791.460.81510.02510.142.39-
Cu40.00370.00930.00570.43860.000140.0030.142≤1
Pb40.00040.00480.00210.90480.000050.0010.33≤0.1
Zn40.04960.12530.08990.36370.00120.0011.83≤2
Tab.2  Statistical summary of rainfall runoff quality in the study catchment
Fig.3  Pollutographs for two typical rainfall events (a is May 5, 2008; b is for May 9, 2009) in the study catchment
Fig.4  M(V) curves for TSS, COD, TP and NO-N
TSSCODTPNO3-N
min/%4.47.711.312.3
max/%80.5663.0838.889.3
mean/%39.3635.1728.1339.03
SD/%22.7220.649.6229.33
Tab.3  Statistical summary of FF30 values regarding TSS, COD, TP and NO-N
βpRPr
Tr1.0760.655-0.0310.937
Fr0.4530.3360.4210.259
V0.6770.1320.6760.046
D-0.7110.4360.1810.641
Imax-1.1470.624-0.1460.709
ADWP1.7060.2300.2810.465
Tab.4  Correlation coefficients between FF30 of TSS and rainfall event characteristics
βpRpr
Tr1.9070.6890.1020.793
Fr-0.6050.489-0.0570.884
V0.4790.4720.5700.109
D-0.4490.7890.1320.735
Imax-2.1270.647-0.0620.875
ADWP-0.2610.831-0.3050.424
Tab.5  Correlation coefficients between FF30 of COD and rainfall events characteristics
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