Code and Data for: A Multidimensional Critical Regulation Approach to Water Resources Optimization

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Authors: Huanghao Yu, Binquan Li, Yong Zhao, Qingming Wang, 任泽岭, Kuang Li, Zhongmin Liang
Cited by: 1

Abstract

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

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 August 2026
Document type
Dataset