An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework
An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework
复制标题
使用基于双向耦合代理的建模框架对耦合自然人类系统进行研究
DOI：
10.1016/j.envsoft.2022.105451
复制
发表时间：
2022
影响因子：
4.9
通讯作者：
Adam, Jennifer C.
中科院分区：
文献类型：
--
作者：
Lin, Chung-Yi;Yang, Y.C. Ethan;Malek, Keyvan;Adam, Jennifer C.
提高对耦合自然人类系统（CNHS）的理解可以更好地为环境决策提供信息。我们研究了共同进化（即，通过双向耦合RiverWare（RW;河流水库路由模型）与基于代理的模型（ABM，人类决策模型），在美国华盛顿的亚基马河流域的CNHS问题。结果表明，耦合模型可以更好地捕捉历史灌溉引水（人）和径流（自然）动态。我们进一步证明了社会规范的影响（即，邻居的影响），并测试了一个“水资源再分配”的情况下，评估水政策对灌溉引水行为的影响。提出了详细的模型结构和参数不确定性分析，进一步量化CNHS模型在水资源多级治理中的效益。
Improving the understanding of coupled natural human systems (CNHS) can better inform environmental policymaking. We investigated the co-evolution (i.e., bidirectional interactions) issues in CNHS via two-way coupling RiverWare (RW; a river-reservoir routing model) with agent-based models (ABMs, human decision models) in the Yakima River Basin in Washington, US. Results show that coupled models can better capture the historical irrigation diversion (human) and streamflow (nature) dynamics. We further demonstrated the effect of social norms (i.e., the influence of neighbors) among farmers and tested a “water reallocation” scenario to evaluate the influence of water policies on irrigation diversion behaviors. Detailed model structure and parameter uncertainty analysis are suggested to further quantify the benefit of CNHS models in multi-level water resources governance.