| Conceptid (78) | Preflabel |
|---|---|
| ABS440MW | Absorbance of electromagnetic radiation (440nm wavelength) {light absorbance} by the water body by model prediction |
| ADEPMP01 | Depth (spatial coordinate) of Secchi disk relative to water surface in the water body by model prediction |
| ALKYMP01 | Total alkalinity per unit volume of the water body by model prediction |
| ARGTMOD1 | Saturation state of aragonite {CAS 14791-73-2} in the water body by model prediction |
| ASLVMP01 | Surface elevation relative to mean sea level of the water body by model prediction |
| ATTNMP01 | Attenuation of electromagnetic radiation (490nm wavelength) per unit length of the water body by model prediction |
| BCRBMOD1 | Concentration of bicarbonate {HCO3- CAS 71-52-3} per unit volume of the water body by model prediction |
| BODMOD01 | Biochemical oxygen demand {BOD} per unit volume of the water body by model prediction |
| BS550MPW | Attenuation due to backscatter of electromagnetic radiation (550nm wavelength) by the water body by model prediction |
| CDIURMD1 | Concentration of diuron {3-(3,4-dichlorophenyl)-1,1-dimethylurea CAS 330-54-1} per unit volume of the water body by model prediction |
| CNCPRT09 | Mass concentration of particles (dust) in the water body by model prediction |
| CNCPRT10 | Mass concentration of particles (fine-grained sediment) in the water body by model prediction |
| CNCPRT11 | Mass concentration of particles (mud carbonate) in the water body by model prediction |
| CNCPRT12 | Mass concentration of particles (mud mineral) in the water body by model prediction |
| CNCPRT13 | Mass concentration of particles (sand carbonate) in the water body by model prediction |
| CNCPRT14 | Mass concentration of particles (sand mineral) in the water body by model prediction |
| CNCPRT15 | Mass concentration of particles (gravel carbonate) in the water body by model prediction |
| CNCPRT16 | Mass concentration of particles (gravel mineral) in the water body by model prediction |
| CODMOD01 | Chemical oxygen demand {COD} per unit volume of the water body by model prediction |
| CPHLMMMO | Concentration monthly mean of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body by model prediction |
| CPHLMOD1 | Concentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body by model prediction |
| CRBMOD01 | Concentration of carbonate {CO32- CAS 3812-32-6} per unit volume of the water body by model prediction |
| FLCO2MOD | Net upward flux (into atmosphere) of carbon dioxide (expressed as carbon) {CO2_as_C CAS 124-38-9} per unit area per unit time from the water body by model prediction |
| FLOXYMOD | Net upward flux (into atmosphere) of oxygen {O2 CAS 7782-44-7} per unit area per unit time from the water body by model prediction |
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P01 Vocabulary - Facet Search on Semantic Components
P01 Vocabulary - Facet Search on Semantic Components
The P01 Parameter Usage Vocabulary is based on a semantic model. This model uses a defined set of controlled vocabularies (the semantic components). The Facet Search below facilitates you to search for specific existing P01 terms using components for drilling down.
Are you missing specific P01 terms in the vocabulary, then you can compose and submit new terms for review and uptake using the P01 Vocabulary Builder tool.