The model was originally validated with data covering lake, oceanic, and coastal waters; however, the model used the quasi-analytical algorithm (QAA) designed for optically deep waters as input and was applied to oceanic and coastal waters to derive absorption [a] and backscattering [bb] coefficients.
This only requires pure water, as well as an electrical energy input [1, 3, 7, 8, 9, 10, 11].
The generic ANN model considers the key driving variables of algal growth such as phosphorous, nitrogen, underwater light and water temperature as input nodes and predicts algal species abundance or biomass as output.
The models can determine marginal or non-marginal values for use of water as an input.
The proposed correlation uses temperature, nanoparticle size, nanoparticle volumetric concentration and water viscosity as inputs and gives the viscosity of nanofluid as output.
Hydrogen production from water electrolysis needs only water and electricity as input.
The iterative application of the hydrodynamic model and the video images, with the modelled water levels used as input to the image processing, provides the video-based intertidal morphology that is used in further modelling experiments.
Appropriate meteorological variables, viz., ambient air temperature, relative humidity, wind speed, and solar radiation were used alongside the key operational variables, viz., flow rate, temperature, and total dissolved solids of feed water were used as input variables.
No product was amplified when water was used as input for a PCR reaction.
The remaining 1 μL of digested DNA was diluted tenfold in water and used as input controls in subsequent amplifications.
