Monitoring and Analytical Issues For BMP Performance Evaluation Hong Lin, Ph.D. Gary Lippner, P.E....
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![Page 1: Monitoring and Analytical Issues For BMP Performance Evaluation Hong Lin, Ph.D. Gary Lippner, P.E. CDS Technologies May 9, 2006 NWQMC San Jose, CA.](https://reader035.fdocuments.in/reader035/viewer/2022062515/56649cfa5503460f949cb868/html5/thumbnails/1.jpg)
Monitoring and Analytical Issues For BMP Performance Evaluation
Hong Lin, Ph.D.Gary Lippner, P.E.
CDS Technologies
May 9, 2006
NWQMC San Jose, CA
![Page 2: Monitoring and Analytical Issues For BMP Performance Evaluation Hong Lin, Ph.D. Gary Lippner, P.E. CDS Technologies May 9, 2006 NWQMC San Jose, CA.](https://reader035.fdocuments.in/reader035/viewer/2022062515/56649cfa5503460f949cb868/html5/thumbnails/2.jpg)
Trash and Debris (Gross Pollutants) : Esthetic impact, threats to human health, fishes, wildlifeParticles and sediments :Clog fish gills, choke other organisms; Prevent sunlight from reaching aquatic plants Metal elements : toxic to aquatic life and potentially contaminant ground waterFertilizers (N, P, K) : eutrophication Pathogens : threat to human health
Urban Rainfall-runoff and its pollutionUrban Rainfall-runoff and its pollution
Pavement abrasionUrban activities
RainfallRainfall
Urban pavement surface Rainfall-runoffRainfall-runoff
Contaminants
Vehicular discharge and abrasion
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BMP Regulations
National Pollutant Discharge Elimination System (NPDES) Phase I – Medium & Large MS4; 11 Categories of
Industrial activities
Phase II – Small MS4
Total Maximum Daily Load (TMDL) Waste load allocations from point sources
Load allocations from non-point sources and natural background conditions.
Margin factor
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BMP Monitoring Protocols
EPA/ASCE Urban Stormwater BMP Performance Monitoring (April 2002)
The Technology Acceptance Reciprocity Partnership Protocol for Stormwater Best Management Practice Demonstration (TARP) - CA, MA, MD, NJ, PA and VA (July 2003)
Guidance for Evaluating Emerging Stormwater Treatment Technologies, Technology Assessment Protocol - Ecology (TAPE) Washington Department of Ecology (June 2004)
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BMP Field Monitoring Goals
Treatment efficiency for targeted pollutants (Reduction Percent and Effluent Quality)
Hydraulic performance (Treatment flow, Bypass)
Operation and performance under various flow conditions
Maintenance requirements
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BMP Monitoring Component
Rainfall (depth & intensity)
Runoff flow (water quality flow)
Sampling (Automatic vs. manual)
Sample Management
Analytical parameters & methods
Data evaluation and validation
Quality Analysis/Quality Control (QA/QC)
BMP performance evaluation
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“Storm Criteria - Qualified Events”
Total Rainfall Depth (inch)
Rainfall intensity (in/hr)
Antecedent dry period
Storm coverage (First Flush coverage)
Number of events
Influent TSS/SSC Concentration
Particle Size Distribution
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Total Rainfall Depth & Influent Pollutant Load
Solids loading appears to be a power law function of the total rainfall depth at a CDS MFS monitoring site.
y = 2.8723x1.2042
R2 = 0.7048
0.00
0.50
1.00
1.50
2.00
2.50
0.01 0.1 1 10
Total Rainfall Depth (inch)
Influ
ent T
SS
Loa
d (k
g)
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Rainfall Intensity vs. TSS/SSC
There is no apparent relationship between rainfall intensity and solids concentration & loadings at a CDS MFS monitoring site.
0
50
100
150
200
250
300
350
0 0.1 0.2 0.3 0.4 0.5 0.6
Maxium 10-min Rainfall Intensity (in/hr)
TS
S C
onc.
(m
g/L)
0.00
0.50
1.00
1.50
2.00
2.50
TS
S L
oad
(kg)
IN TSS Conc.IN TSS Load
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Storm Coverage
Composite samples (flow-weighted) covering a minimum of 70% of the total
storm runoff flow
Low intensity (flow-limited) Pollutant mass delivery proportion to the
hydrograph
High intensity (mass-limited) Disproportionate “first flush” of pollutant
mass
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Particle Size Distribution (PSD)
Granulometric characteristics of pollutants
PSD - d50, d10 and d90
Determining factor of performance for physical separation
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Particle Size Analysis
PSD Analysis using Laser Diffraction Instrument – Monitoring of CDS MFS
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Sampling Structure
CDS Monitoring Data - Inflow
0
2
4
6
8
10
12
14
16
18
20
1/5/200612:00
1/6/20060:00
1/6/200612:00
1/7/20060:00
1/7/200612:00
1/8/20060:00
1/8/200612:00
Dis
char
ge
(gp
m)
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0.1
Pre
cip
itat
ion
(in
)
Influent Flow Rate
Sample
Precipitation
time-based sampling triggered by flow – CDS MFS Monitoring
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Flow Measurement
Primary Measuring Device Flumes Weirs
Secondary Measuring Device Area velocity flow meter Velocity sensors w/depth sensors
Installation & Calibration
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Sample Collection
Automatic Sampler Sampling location
Sampling structure (time-based vs. flow-based)
Limited application in the sediment-laden runoff
Convenient and less labor intensive
Manual Sampling Full-cross sectional manual sampling -
representative samples
Time consuming & Labor intensive
Can be applicable for some field installations
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Sediment and Floatable Fractions in Urban Storm Water Runoff
Heterogeneous mixture of particulate materials from a variety of anthropogenic and natural sources
> 75 m
Variable s
Separated at #200 sieve (75-m)
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Automatic Sampling
CDS Sump Materials
TrapezoidalFlume
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Mass Balance Approach
True Influent Load = Captured Pollutant Load in BMP + Effluent Load (Auto sampler) + Bypass Load
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Mass Balance Approach Methodology
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CDS Sump SolidsCharacterization(Mass Balance Approach)
Remove solids using vacuum truck or manually
Place in phase separator or storage tank
Decant water, air dry solids and measure volume
Sub-sample entire volume or use successive quartering techniques for large quantities
Analysis - Total Solids, Total Volatile Solids, Grain size distribution (PSD), S.G.
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CDS Sump Material PSD vs. Other Studies
* NURP - National Urban Runoff Program (1982)
CDS Sump Material at Various Sites
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Analytical Procedure Composite and Sub-sampling
Flow weighted composite samples
Cone Splitter for sub-sampling
Total Suspended Solids (TSS) vs. Suspended Sediment Concentration (SSC) APHA Method 2540D
ASTM Method D3977-97
Maximum Detection Limit
Partitioning of Phosphorous and Metals – Fractionation immediately after sampling
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Data Evaluation
Individual Storm Event – Pollutant Reduction Concentration (mg/L) Mass Loading (g)
Accumulated Pollutant Load Reduction – Mass Balance Approach
Removal percentage and Effluent quality
Statistical goals – cov, C.I.
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Statistical Goals
Number of Events Coefficient of variance Confidence Internal
Treatment level
Standard
COV Min # of Sample Pairs
C.I. 95 C.I. 90
Basic 80% SSC
0.55 6 5
TP 50% TP 0.75 28 20Washington Ecology - TAPE protocol
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BMP Performance Evaluation
Treatment Performance Solid (TSS/SSC) removal Total metals, Total Phosphorous Dissolved pollutants
Hydraulic performance Treatment flow vs. Bypass flow Headloss
Operation & Maintenance Frequency Procedure
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Summary Accurate flow measurement is critical for
the BMP monitoring in order to determine system hydraulic performance and pollutant load.
Particle size analysis is critical for comparing system performance. d50, d10 and d90 are necessary to define a PSD.
A mass balance approach by characterizing the pollutant load captured in the BMP can correct the inaccuracy of auto sampling for sediment-laden (>63-m) urban runoff flow.
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Summary - Cont.
SSC analytical method provides accurate pollutant loading analyses for the urban runoff flow.
Compositing and Sub-sampling using cone-splitter is efficient for analyses of particles less than 500-m.
Load reduction and effluent quality should be the ultimate performance evaluation criteria for BMPs.
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BMP Monitoring & Evaluation
Site Selection
Data Acquisition
Water Quality Analyses
Treatment Performance
Rainfall
RunoffFlow
Sample
Percent Removal
Effluent Quality
Mass Loading ReductionBMP Evaluation
Hydraulic Performance
Operation & Maintenance