Supplementary Material: Parametric Sensitivity Analysis of the Kostia Model for Agricultural Aviation Operational Performance

This repository contains the supplementary material for the undergraduate thesis "Análise de Sensibilidade Paramétrica do Modelo de Kostia para Desempenho Operacional em Aviação Agrícola" (Parametric Sensitivity Analysis of the Kostia Model for Agricultural Aviation Operational Performance), developed at FASTECH - Faculdade de Tecnologia de Sinop, 2025. CONTENTS: 1. Python Implementation (folder 01_codigo/) - Complete computational implementation of Kostia (1980) model as consolidated by Pisarski (2006) - One-At-a-Time (OAT) local sensitivity analysis - Sobol global sensitivity analysis with variance decomposition - Monte Carlo simulations for uncertainty propagation - Productivity elasticity calculations - Complete analysis pipeline 2. Data (folder 02_dados/) - Excel spreadsheet for quick cycle time calculations 3. Survey (folder 03_questionario/) - Google Forms questionnaire for turnaround time data collection - Operator responses (anonymized) 4. Video Documentation (folder 04_video/) - Reference video of turnaround maneuver for timing validation MAIN RESULTS:- Reference case: Air Tractor AT-402B- Calculated cycle time: 2,713 s (45.22 min)- Productivity: 195.56 ha/h- Parameter hierarchy (OAT analysis): B > lw > Tn > Vr > M- Realistic operational gain potential: 4-5% through rigorous parametric control- Parameter interactions: < 0.3% (negligible) The code is fully documented and ready for reproduction of all results presented in the thesis. REFERENCES:- Kostia, T. (1980). A method for determining the technical and economic characteristics of airplanes and helicopters used in agriculture. In: Trends in Airborne Equipment for Agriculture and Other Areas. Oxford: Pergamon Press.- Pisarski, W. (2006). Weryfikacja eksperymentalna metod oceny wydajności rolniczych statków powietrznych. Inżynieria Rolnicza, v. 10, n. 6, p. 155-167. KEYWORDS: agricultural aviation, Kostia model, sensitivity analysis, operational performance, Air Tractor AT-402B, Python, Sobol method, Monte Carlo simulation