Geostatistical modeling of dissolved oxygen distribution in estuarine systems

Journal Article · Fri Mar 01 00:00:00 EST 1991 · Environmental Science and Technology; (USA)

DOI:https://doi.org/10.1021/es00015a015· OSTI ID:5547236

Posa, D ^[1]; Rossi, M E ^[2]

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1. Universita degli Studi di Bari (Italy)
2. Fluor Daniel Inc., Redwood City, CA (USA)

The probabilistic random function model is used in geostatistics to infer the attribute under study at unsampled locations. In many earth sciences applications, sparse information and incomplete sampling are not uncommon. This problem sometimes can be approached with an appropriate definition of the stationary random function model being used. In spatial statistics this decision is usually influenced by practical factors, such as availability and distribution of the samples. This paper describes a procedure that trades the third dimension for a larger number of samples in the two-dimensional space. This allows for a better characterization of the distribution of dissolved oxygen within the Mar Piccolo of Taranto, Italy.

• OSTI ID: 5547236
• Journal Information: Environmental Science and Technology; (USA), Vol. 25:3; ISSN 0013-936X
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
DISSOLVED GASES
PROBABILISTIC ESTIMATION
OXYGEN
CALCULATION METHODS
DATA ANALYSIS
ESTUARIES
STATISTICAL MODELS
ELEMENTS
FLUIDS
GASES
MATHEMATICAL MODELS
NONMETALS
SOLUTES
SURFACE WATERS
540310* - Environment
Aquatic- Basic Studies- (1990-)