Paper Information

Journal:   JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)   JUNE-JULY 2017 , Volume 31 , Number 2 #M0066; Page(s) 359 To 371.
 
Paper: 

REDUCTION OF VARIABLE NITROGEN RIVER WATER LOADING MODEL BY VARIANCE BASED SENSITIVITY ANALYSIS, CASE STUDY: TWEEDRIVERBASIN

 
 
Author(s):  JANFADA M.*, SHAHSAVANI D.
 
* DIVISION OF STATISTICS, DEPARTMENT OF MATHEMATICS, SHAHROOD UNIVERSITY OF TECHNOLOGY
 
Abstract: 

Introduction: The nitrogen cycle may be affected by chemical fertilization and industrial waste water.
Nitrate can affect the human body through water and food, which can be transformed into nitrate and nitrosamine as a threat for humans and aquatic life. Therefore, detecting the influential elements and factors on this cycle, are essential from the environmental protection point of view. Many of scientists utilize mathematical models for these kind of problems. These models encompass linear and nonlinear differential equations that aresolved by numerical computer cods. The numerical codes are called “Deteministic computer models”, and running the model with different input values is called a computer experiment. One of the most famous models for the estimation of nitrogen river load is INCA-N (Integrated Nitrogen in Catchments). …

 
Keyword(s): DETERMINISTIC COMPUTER MODELS, NITROGEN, DIMENSION REDUCTION, MONTE CARLO METHOD, INCA-N MODEL
 
References: 
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