Assessing effects of sampling frequency on the estimation accuracy of different water quality indicators

dc.contributor.advisorFan-Rui Meng
dc.contributor.advisorLi, Sheng
dc.contributor.advisorBenoy, Glenn
dc.contributor.advisorXing, Zisheng
dc.contributor.authorGao, Lin
dc.date.accessioned2023-03-01T16:18:10Z
dc.date.available2023-03-01T16:18:10Z
dc.date.issued2017
dc.date.updated2023-03-01T15:01:27Z
dc.description.abstractField sampling is an important component of water quality assessment and for early detection of water quality deterioration caused by human activities. Theoretically, the accuracy of water quality indicators estimated from water samples should increase with increasing the number of samples or the sampling frequency. However, costs related to water sample collection, transportation, storage and laboratory analyses, will also increase with increasing sampling frequency. It is a challenge to determine an adequate sampling frequency that achieves both acceptable accuracies for estimating the change in water quality indicators and acceptable cost for sample collection and laboratory analyses. The objective of this study was to analyze the effects of variation in sampling frequency on the accuracy of selected water quality indicators. Water quality variables analyzed in this study include suspended solids (ton ha-1), and concentrations of agricultural nutrients (nitrate nitrogen potassium, ortho-phosphorus, calcium, and magnesium). Water quality indicators included in this study were annual loading and Concentration Exceedance Frequency (CEF). Water quality data from Little River Watershed and its tributary Black Brook Watershed in New Brunswick were used to generalize the relationship between the estimation accuracy of the above-mentioned water quality indicators and the different sampling frequency by statistical approaches. The coefficient of variation, the relative bias, and the probability of potential error were used as measures of estimation accuracy. Results indicated that these three measures of estimation accuracy in annual loading decreased with increasing sampling frequency for sediments and all agricultural nutrients. As expected, these measures of estimation accuracy in CEF also decreased with increasing sampling frequency. This means accuracies of both annual loading and CEF increased with increasing sampling frequency.
dc.description.copyright© Lin Gao, 2017
dc.formattext/xml
dc.format.extentxiii, 113 pages
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/13404
dc.language.isoen_CA
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineForestry and Environmental Management
dc.titleAssessing effects of sampling frequency on the estimation accuracy of different water quality indicators
dc.typemaster thesis
thesis.degree.disciplineForestry and Environmental Management
thesis.degree.fullnameMaster of Science in Forestry
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.F.

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
item.pdf
Size:
1.73 MB
Format:
Adobe Portable Document Format