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Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
linear regression multivariate statistics nitrogen NPS soil moisture spatial analysis visualization
2015/8/11
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
Combining Multivariate Statistical Methods and Spatial Analysis to Characterize Water Quality Conditions in the White River Basin, Indiana, U.S.A.
linear discriminant analysis principal component analysis water quality
2015/1/16
This research performs a comparative study of techniques for combining spatial data and multivariate statistical methods for characterizing water quality conditions in a river basin. The study has bee...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
NPS soil moisture spatial analysis visualization
2015/1/6
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes
Comparative application artificial neural networks genetic algorithms time-series modelling
2009/12/4
The paper compares potentials and achievements of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms in Lake Kasumigaura (Japan). Despite the c...
Multivariate Distributions in Hydrology and River Regulation
Multivariate Distributions Hydrology River Regulation
2009/10/29
It is assumed that the river runoff process can be approximated by a Markov process. The process is thus described by M distribution functions:
Fn(qt,t;qt-1;t-1;…;qt-n,t-n), t≡1,2,…,M where M is the ...
Multivariate Transfer Function-Noise Model of River Flow for Hydropower Operation
Transfer Function-Noise Model River Flow Hydropower Operation
2009/10/27
The formulation of multivariate autoregressive moving average (ARMA) time
series models and their transfer function noise (TFN) form is described. Development
of a multivariate TFN model is difficul...
Multivariate Technique for Validating Historical Hydrometric Data with Redundant Measurements
Multivariate Technique Historical Hydrometric Data Redundant Measurements
2009/10/23
The aim of this research was to develop an automated methodology for validating
chronological series of natural inflows to reservoirs. Theoretically, gauges
located on the same reservoir should indi...
MULTIVARIATE ANALYSIS FOR IDENTIFYING THE GOVERNING FACTORS OF GROUNDWATER QUALITY
R-mode groundwater quality Guntur urban area
2009/10/13
The R-mode factor analysis technique has been successfully applied to understand the processes responsible for the decline of groundwater quality in Guntur urban area, Andhra Pradesh, India. Factor I ...
Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self-Organizing Map
self-organizing map Exploratory data analysis
2009/5/8
The use of unsupervised artificial neural network techniques like the self-organizing map (SOM) algorithm has proven to be a useful tool in exploratory data analysis and clustering of multivariate dat...
Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
neural networks perceptron multilayer error backpropagation
2009/3/17
A model for multivariate streamflow generation is presented, based on a multilayer feedforward neural network. The structure of the model results from two components, the neural network (NN) determini...