CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "CWatQIM: Crop-Water Quota Irrigation Model"
version: 0.1.0
date-released: 2026-01-14
authors:
  - family-names: Song
    given-names: Shuang
    email: song@gea.mpg.de
    affiliation: Max Planck Institute of Geoanthropology
license: MIT
repository-code: "https://github.com/SongshGeoLab/CWatQIM"
keywords:
  - "agent-based model"
  - "water resources"
  - "Yellow River"
  - "irrigation"
  - "water quota"
  - "ABM"
  - "hydrology"
  - "ABM simulation"
abstract: "An agent-based model (ABM) for simulating water quota allocation and irrigation decisions in China's Yellow River Basin. The model investigates how water quota institutions shape irrigation water withdrawal decisions and their system-wide consequences, focusing on the mechanisms through which administrative water quotas influence water source composition (surface water versus groundwater), irrigation efficiency, and crop productivity."
doi: "10.5281/zenodo.4305038"