eutrophication modeling using variable chlorophyll approach

Predictive Modeling of Lake Eutrophication

using system dynamics approach to simulating eutrophication in artificial lakes

background: nowadays the eutrophication of water bodies is enhanced due to discharge of effluents and runoffs. therefore, there is a demand for the management of natural and artificial lakes to prevent or postpone this problem. lakes eutrophication is a complex process. therefore computerized models are very important tools to describe this process. although there are several models for this, b...

Modeling and Managing Shallow Lake Eutrophication

Thirty Years of Chlorophyll Modeling

This paper summarizes the progress over approximately thirty-year’s work of the author in developing a model of photosynthesis involving chlorophyll on polymeric substrates that would photosensitize endergonic electron transfer. The system finally achieved might, with proper modifications, serve as a means of generating power from solar energy. DOI: 10.1134/S000629791403002X

Variable Reduction for Modeling using PROC VARCLUS

Most direct mail and e-commerce companies have hundreds if not thousands of variables for each customer on their database. When statisticians try to build segmentation or other types of models with a large number of variables, it becomes difficult to figure out the correct relationships between the dependent and independent variables. In fact, when redundant variables are included in some of th...

Controlling River Eutrophication under Conflicts of Interests—A GIS Modeling Approach

Stream networks are highly complex systems, in which spatially complicated and temporally varying water quality patterns develop. River eutrophication is underlain by nutrient inputs across the entire stream network and is controlled by many interacting factors in an ever moving and renewing medium. These complex features must be perceived as a whole entity to control river eutrophication. The ...