Okaloosa County BOCC — December 6, 2016 — Gap Creek QAPP — reading text

303-754-4200 Ext 266 Maria Lab QA TestAmerica Understanding and Maria.bundy@testamericainc.com Bundy Manager implementing the (850) 474-1001 measurement procedures; Quality Assurance (QA) for lab analysis Michael Project Florida Dept. Project Oversight Michael.scheinkman@dep.state.fl.us Scheinkman Oversight of (850) 245 2951 Environmental Protection June 2016 | 3 Gap Creek Stormwater Improvements Quality Assurance Project Plan Okaloosa County, Florida 2 Sampling and Analysis Two sampling stations will be used to evaluate the BMPs effectiveness: one from the inflow and one from the outflow of Poplar Pond. A minimum of seven (7) and a maximum of ten (10) qualifying stormwater events will be sampled over a twelve (12) month period as described below. The proposed start date for sampling will begin October 1, 2016. 2.1 Monitored Events Qualifying storm events must have a rainfall event greater than 0.20 inches and less than 1.5 inches within a 24 hour period. The qualifying storm event shall not have a precipitation event greater than 0.1 inches within a seven day period prior to the qualifying storm event occurring. Actual rainfall totals will be monitored from Hurlburt Field, approximately 2 miles to the west of the Poplar BMP site. Real time precipitation data can be viewed via the internet at: https://www.wunderground.com/cgi- bin/findweather/getForecast?query=30.42783356,-86.68933105&sp=KHRT Two sample stations will be used to determine the BMP’s effectiveness: one immediately upstream of the forebay at the Poplar Avenue structure within the fenced area to estimate pollutant levels entering into the retention pond, and the second at or near the outlet structure, either attached to the outfall’s discharge port or as a free standing point next to the outlet structure, to estimate pollutant levels being discharged from the retention pond. See below for Figure 1 showing sample locations: Qualifying events flowing into the Poplar Avenue site that do not discharge from the outlet structure are considered valid events since the BMP’s storage and infiltration of the storm event reduced the qualifying event’s volume and pollutants by 100%. If a qualifying event does not produce sufficient runoff to fill the sample containers, either the height of the sample containers should be lowered or larger qualifying events should be used that produce sufficient runoff to flow into the samplers. Project Schedule This evaluation will be conducted over the course of one year beginning October 1, 2016 and ending September 30, 2017. Quarterly reports are to be submitted within 30 days of the laboratory results being submitted for the last sampling event for that given quarter. A final report will be included in the 4th quarter report.  1st Quarter Oct 1 – January 1  2nd quarter January 1- March 31  3rd quarter April 1 – June 31  4th quarter July 1 – September 30 4 |June 2016  Gap Creek Stormwater Improvements Quality Assurance Project Plan Okaloosa County, Florida Figure 1: Site Diagram 2.2 Composite Samples Due to the site’s security and the temporary nature of the sampling stations, an industry standard Nalgene Stormwater Sampler (see Appendix A) will be used to capture the first flush of a qualifying storm event to evaluate the effectiveness of the retention pond. Due to the sample volume requirements, 4 samplers will be installed at these two sample locations to capture the required sample volume. One sampler at each of the stations will be fitted with a glass collection chamber to allow for the Oil and Grease samples to be collected while the remaining samples will be collected in a laboratory clean Nalgene container to collect aliquots that will be transferred into their individual laboratory container and preserved prior to shipment to the laboratory. Sample preservation will occur immediately after collection from the Nalgene container. Sample inlet ports for the Nalgene samplers will be located approximately one inch above the channel bottom and at the outlet spill elevation. 2.3 Grab Samples Grab samples will also be collected within the retention area at influent and effluent stations. Grab samples will be collected for the analysis of fecal coliform. June 2016 | 5 Gap Creek Stormwater Improvements Quality Assurance Project Plan Okaloosa County, Florida 2.4 Quality Objectives The measurement quality objectives (MQOs) for this study have been developed in order to provide quality data that supports the objectives of the project. The analytical methods discussed in this QAPP provide a level of quality that allows the data to be used in the decision-making process. The lab will use the methods specified in this QAPP to analyze the samples for the analytes shown in Table 2. The laboratory will analyze field and laboratory QA/QC samples using the procedures in their Standard Operating Procedures (SOPs) and the analytical method to assess data quality. Data quality is expressed in terms of precision, accuracy, representativeness, completeness, comparability and sensitivity (PARCCS) as well as method sensitivity. Table 2. Analytes and Methods Collection Required Parameter Unit Analytical Method Method Detection Limit Cd - 1 µg/L Total Metals Cr - 5 µg/L µg/L 200.7/SW6010B Composite (Cadmium, Chromium, Copper, Zinc) Cu - 5 µg/L Zn - 10 µg/L Nitrate + Nitrate mg/L 300.0/SW9056 Composite 0.1 mg/L Total Kjeldahl Nitrogen (TKN) mg/L 351.2 Composite 0.3 mg/L Total Nitrogen mg/L 300.0/351.2 Composite -- Ortho-Phosphate mg/L 300.0/SW9056 Composite 0.05 mg/L Total Ammonia (Ammonia Nitrogen) mg/L 350.1 Composite 0.05 mg/L Total Phosphorus mg/L 365.4 Composite 0.05 mg/L Total Suspended Solids (TSS) mg/L 160.2 Composite 5 mg/L Oil & Grease mg/L 1664A Composite 5 mg/L # per 100 Fecal Coliform SM9222D Grab Not Applicable mL (CFU) 2.4.1 Precision Precision is a measure of reproducibility of analytical results. It can be defined as the degree of mutual agreement among individual measurements obtained under similar conditions. Total precision is a function of the variability associated with both sampling and analysis. Precision is evaluated in terms of relative percent difference (RPD) for field duplicate (FD) samples, lab control samples (LCS) and their duplicates (LCSD), and matrix spike (MS) and matrix spike duplicate (MSD) samples. 2.4.2 Accuracy Accuracy is the degree of agreement between a measured value and the “true” or expected value. It represents an estimate of total error from a single measurement, 6 |June 2016  Gap Creek Stormwater Improvements Quality Assurance Project Plan Okaloosa County, Florida including both systematic or matrix error (bias), and random error that may reflect variability due to imprecision. Accuracy is evaluated in terms of percent recoveries determined from results of analysis of LCS, LCSD, ongoing precision and recovery (OPR) samples and MS and MSD samples. Surrogate recoveries and internal standards are also used to assess accuracy. Contamination in field and laboratory blanks is monitored to assess potential bias in field sample results. 2.4.3 Representativeness Representativeness is the degree to which sample data accurately reflect the characteristics of a population of samples. It is achieved through a well-designed sampling program and by using standardized sampling strategies and techniques and analytical procedures. Factors that can affect representativeness include site homogeneity, sample homogeneity at a single point, and available information around which the sampling program is designed. Using multiple methods to measure an analyte can also result in non-representativeness of sample data. Representativeness will be achieved for this project by training field staff in proper sample collection techniques and reviewing field records for consistency. It should be noted that typically stormwater is not considered a homogeneous solution. 2.4.4 Completeness Completeness is the percentage of the total amount of data expected compared to the amount of data actually obtained. Completeness may be affected by conditions in the field which make a location inaccessible, container breakage during shipment, or laboratory QC failures causing the rejection of data. In general, a completeness goal of greater than 90% is considered acceptable. 2.4.5 Comparability Comparability is the confidence with which one dataset can be compared to another. It is achieved by maintaining standard techniques and procedures for collecting and analyzing samples and reporting the analytical results in standard units. Results of performance evaluation samples and systems audits will provide additional information for assessing comparability of