Code and Data for: A Multidimensional Critical Regulation Approach to Water Resources Optimization
收藏DataCite Commons2026-05-05 更新2026-05-07 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.20033154
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资源简介：
This repository contains the MATLAB source code and input datasets associated with the study "A Multidimensional Critical Regulation Approach to Water Resources Optimization" submitted to Water Resources Research.
Software (MATLAB code):
uncertainty_analysis_main.m – Main script for Monte Carlo uncertainty analysis
data_and_params_input.m – Data loading and parameter initialization
compute_entropy_future.m – Entropy-based future scenario computation
robustness_analysis.m – Robustness analysis under SSP scenarios
run_monte_carlo_only.m – Standalone Monte Carlo runner
run_robustness_only.m – Standalone robustness runner
visualize_uncertainty_results.m – Visualization of optimization results
Datasets:
Land use data for the Yellow River Basin
Water availability data
Water use and supply data (agricultural, industrial, domestic, and ecological sectors)
Water resources optimization results under SSP1-1.9, SSP2-4.5, and SSP5-8.5 scenarios
提供机构：
Zenodo
创建时间：
2026-05-05
