Title:	Sensitivity analyis of the pesticide leanching model peral for three brazilian scenarios.
Authors:	SILVA, J. P. da SCORZA JUNIOR, R. P.
Affiliation:	JOÃO PAULO DA SILVA, UEMS ROMULO PENNA SCORZA JUNIOR, CPAO.
Date Issued:	2008
Citation:	In: INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING; BRAZILIAN CONGRESS OF AGRICULTURAL ENGINEERING, 37.; INTERNATIONAL LIVESTOCK ENVIRONMENT SYMPOSIUM - ILES, 8., 2008, Foz do Iguaçu. Technology for all: sharing the knowledge for development: proceedings... Foz do Iguaçu: SBEA, 2008.
Description:	Sensitivity analysis of mathematical models has the aim to identify the relationship between model inputs and outputs. For an accurate use of pesticide leaching models it is necessary to assess the sensitivity of input parameters. The aim of this work was to carry out sensitivity analysis of the pesticide leaching model PEARL for contrasting soil types using data of Rio Dourados watershed in Mato Grosso do Sul State, Brazil. Sensitivity analysis was done by carrying out many simulations with different input parameters and calculating their influence on the output values. The approach used was the so called one-at-a-time sensitivity analysis, which consists in varying independently input parameters one at a time and keeping all others constant with the standard scenario values. Sensitivity analysis was automated using SENSAN tool that was linked to the PEARL model. Results have shown that only soil characteristics influenced the simulated flux of water resulting in none variation of this variable for scenarios with different pesticides. All input parameters that showed the greatest sensitivity with regard to leached pesticide are related to soil and pesticide properties. Sensitivity of all input parameters was scenario-dependent, confirming the importance of using more than one standard scenario for sensitivity analysis of pesticide leaching models.
Thesagro:	Pesticida
Notes:	Publicação original em CD
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CPAO)