A New Approach for Estimating Dissolved Oxygen Based on a High-Accuracy Surface Modeling Method.

ABSTRACT: Dissolved oxygen (DO) is a direct indicator of water pollution and an important water quality parameter that affects aquatic life. Based on the fundamental theorem of surfaces in differential geometry, the present study proposes a new modeling approach to estimate DO concentrations with high accuracy by assessing the spatial correlation and heterogeneity of DO with respect to explanatory variables. Specifically, a regularization penalty term is integrated into the high-accuracy surface modeling (HASM) method by applying geographically weighted regression (GWR) with some covariates. A modified version of HASM, namely HASM_MOD, is illustrated through a case study of Poyang Lake, China, by comparing the results of HASM, a support vector machine (SVM), and cokriging. The results indicate that

SUBMITTER: Zhao N 

PROVIDER: S-EPMC8229124 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature