Metadata
Environmental & Earth Studies Undergraduate Create Hard-
Subject
Environmental & Earth Studies
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Education level
Undergraduate
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Cognitive goals
Create
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Difficulty estimate
Hard
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Tags
land-use optimization, biodiversity connectivity, carbon sequestration, surface runoff, scenario analysis
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess students' ability to design a multi-objective, spatially explicit land‑use optimization model for a temperate agricultural watershed that maximizes biodiversity connectivity and carbon sequestration while minimizing surface runoff and economic loss over a 50‑year planning horizon under three climate scenarios (RCP4.5, RCP6.0, RCP8.5). Evaluate formulation of objective functions and trade-offs, selection of connectivity and carbon models, hydrological/runoff and economic-loss modules, spatial allocation methods and algorithms (e.g., ILP, GA, MOPSO), data requirements and preprocessing, scenario-based climate inputs and uncertainty analysis, calibration/validation approaches, and the generation and interpretation of spatial land‑use maps and performance metrics.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.