Default versus Configured-Geostatistical Modeling of Suspended Particulate Matter in Potter Cove, West Antarctic Peninsula

• DOI: 10.3390/fluids5040235
• Publication Date: 2020-12-08T14:17:04Z
• Authors: Camila Neder; Ricardo Sahade; Doris Abele; Roland Pesch; Kerstin Jerosch
• Keywords: Peninsula; Cove; Interpolation

The glacier retreat observed during the last decades at Potter Cove (PC) causes an increasing amount of suspended particulate matter (SPM) in water column, which has a high impact on sessile filter feeder’ species PC located West Antarctic Peninsula. SPM presents highly-fluctuating dynamic pattern daily, monthly, seasonal, and interannual basis. Geostatistical interpolation techniques are widely used by default to generate reliable spatial information thereby improve ecological understanding environmental variables, is often fundamental for guiding decision-makers scientists. In this study, we compared results configured settings three geostatistical algorithms (Simple Kriging, Ordinary Empirical Bayesian) developed performance index. order interpolate data from summer season 2010/2011 PC, best was obtained with Bayesian Kriging (standard mean = −0.001 root square standardized 0.995). It showed excellent (performance index 0.004), improving both evaluation parameters when radio neighborhood were configured. About 69% models improved standard means following here proposed guideline.