Understanding nutrient biogeochemistry in agricultural catchments: the challenge of appropriate monitoring frequencies
| Autor: | Neil Mullinger, Ann Louise Heathwaite, Patrick Keenan, Magdalena Bieroza |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
In situ
Nitrogen Phosphorus Public Health Environmental and Occupational Health Environmental Sciences (social aspects to be 507) Biogeochemistry Sampling (statistics) chemistry.chemical_element Agriculture General Medicine Management Monitoring Policy and Law Nutrient chemistry Environmental chemistry Water Pollution Chemical Environmental Chemistry Environmental science Water pollution Surface water Water Pollutants Chemical Groundwater Environmental Monitoring |
| Zdroj: | Environ. Sci.: Processes Impacts. 16:1676-1691 |
| ISSN: | 2050-7895 2050-7887 |
| DOI: | 10.1039/c4em00100a |
| Popis: | We evaluate different frequencies of riverine nutrient concentration measurement to interpret diffuse pollution in agricultural catchments. We focus on three nutrient fractions, nitrate-nitrogen (NO3-N), total reactive phosphorus (TRP) and total phosphorus (TP) observed using conventional remote laboratory-based, low-frequency sampling and automated, in situ high-frequency monitoring. We demonstrate the value of low-frequency routine nutrient monitoring in providing long-term data on changes in surface water and groundwater nutrient concentrations. By contrast, automated high-frequency nutrient observations provide insight into the fine temporal structure of nutrient dynamics in response to a full spectrum of flow dynamics. We found good agreement between concurrent in situ and laboratory-based determinations for nitrate-nitrogen (Pearson's R = 0.93, p < 0.01). For phosphorus fractions: TP (R = 0.84, p < 0.01) and TRP (R = 0.79, p < 0.01) the relationships were poorer due to the underestimation of P fractions observed in situ and storage-related changes of grab samples. A detailed comparison between concurrent nutrient data obtained by the hourly in situ automated monitoring and weekly-to-fortnightly grab sampling reveals a significant information loss at the extreme range of nutrient concentration for low-frequency sampling. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|