Dynamic behavior of stormwater quality parameters in South Texas
Dynamic behavior of stormwater quality parameters in South Texas
Xubin PAN1,2(), Jingyi ZHANG2, Wei-Ta FANG3, Kim D. JONES2()
1. Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100029, China; 2. Department of Environmental Engineering, Texas A & M University-Kingsville, Kingsville, TX 78363, USA; 3. Graduate Institute of Environmental Education, Taiwan Normal University, Taipei 116, China
To control water impairment in urban stormwater, it is important to evaluate changing patterns of water quality parameters in stormwater runoff. Thus, the authors performed a series of experiments to investigate the dynamics of common water parameters during storm events in semi-arid areas, with multiple samples collected and analyzed in field stormwater applications. At this field monitoring site within McAuliffe Park, McAllen, Texas, in the United States, a storm event increased the concentrations of Escherichia coli (E. coli), but this event represented a decreasing trend over the entire event period. Besides, peak intensity of different pollutants in the stormwater runoff occurred at different times other than at any peak flows, representing a complexity of the temporal and spatial measurements. Multi-sample per-event approaches recommended based on the complexity of the hydrograph and different peak intensity times of pollutants. In addition, high bacteria and total suspended solids (TSS) concentrations in the initial stage of the storm event should be considered when designing Best Management Practices (BMPs) and Low Impact Developments (LIDs). New strategies and solutions for addressing ecohydrological challenges should be proposed to avoid collateral damages to their both common wealth in ecosystems and human well-beings.
Corresponding Author(s):
PAN Xubin,Email:xubin.hu.pan@gmail.com; D. JONES Kim,Email:kim.jones@tamuk.edu
引用本文:
. Dynamic behavior of stormwater quality parameters in South Texas[J]. Frontiers of Environmental Science & Engineering, 2012, 6(6): 825-830.
Xubin PAN, Jingyi ZHANG, Wei-Ta FANG, Kim D. JONES. Dynamic behavior of stormwater quality parameters in South Texas. Front Envir Sci Eng, 2012, 6(6): 825-830.
temperature, pH, nitrate nitrogen, salinity, TDS, specific conductivity, and DO
YSI Model 6920 V2 (YSI Inc., USA)
turbidity
2100P Turbimeter (Hach Inc., USA)
TSS
EPA method 160.2
VSS
EPA method 160.3
Tab.2
water quality
unit
June 28, 2011
Aug 19, 2011
nitrate-nitrite nitrogen
mg·L-1
1.40
<1.00
ammonia nitrogen
mg·L-1
0.0303
0.0811
total Kjeldahl nitrogen
mg·L-1
0.887
0.459
phosphorus
mg·L-1
0.272
0.278
total suspendedsolids
mg·L-1
19.5
44.0
biochemical oxygen demand
mg·L-1
4.99
23.5
E. coli
MPN/100 mL
1203
201.4
Tab.3
Fig.2
sampling
S0
S1
S2
S3
S4
S5
S6
sampling time
12:13
13:28
13:42
13:56
14:12
14:40
15:05
flow rate/(m3·L-1)
0.05
0.03
0.20
1.32
2.49
5.64
3.13
Temp./°C
29.1
29.8
29.4
28.0
25.7
Sp. Cond./(mS·cm-1)
1.45
1.35
1.34
0.27
0.16
pH
8.00
7.74
7.78
8.49
8.83
DO/(mg·L-1)
5.25
4.65
5.32
7.19
7.60
nitrate-/(mg·L-1)
407
628
1096
12341
36827
salinity/ppt
0.72
0.67
0.66
0.13
0.08
TDS/(g·L-1)
0.94
0.88
0.87
0.17
0.11
Tab.4
Fig.3
Fig.4
Fig.5
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