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| Title | Quality Assurance Project Plan: Monitoring for Nitrate Trends in the Central Sumas-Blaine Surficial Aquifer | |||
| Month-Year Published | December 2002 | |||
| Online Availability |
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| Short Description |
The purpose of this project is to design and implement a groundwater monitoring program to determine nitrate concentration trends in the central portions of the Sumas-Blaine Surficial Aquifer. (Also see abstract below) | |||
| Publication Number | 02-03-084 | |||
| Author(s) | Erickson, D. | |||
| Print Availability | ||||
| Number of pages | 18 pp. | |||
| Keywords | aquifer, county, dairy, monitoring, nitrate, plan, quality assurance, quality assurance project plan, trend, waste, water, watershed, wells, Whatcom | |||
| Subject Waterbodies |
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| Related Publications | Title | Relationship | ||
| Nitrate Trends in the Central Sumas-Blaine Surficial Aquifer | similar topic | |||
| Abstract | Long Description |
The purpose of this project is to design and implement a groundwater monitoring program to determine nitrate concentration trends in the central portions of the Sumas-Blaine Surficial Aquifer. The Sumas-Blaine Surficial Aquifer is the principal surficial aquifer in the Nooksack Watershed in northwestern Whatcom County. Studies over the last 12 years have documented extensive nitrate contamination of the central and northcentral portions of the Sumas-Blaine Surficial Aquifer. The major sources of nitrate in the Sumas-Blaine Surficial Aquifer are the storage and application of dairy wastewater and manure, inorganic fertilizer application, and septic systems. Substantial effort has been made in recent years to improve the handling and storage of dairy wastewater and manure. The results from this project and subsequent long-term monitoring will document whether these improvements translate to decreased nitrate concentrations in groundwater. The project proposes to sample the groundwater monitoring network of about 30 to 35 wells for nitrate every other month for two years. The variability of the data will be used to define the sample frequency for long-term monitoring. The data will be evaluated using the Seasonal Kendall or equivalent statistical test to identify statistically significant trends. |
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