Social-Hydrology

The temporal increase of the complexity index indicated that the virtual water outflows (VWFs) from the YRB were becoming increasingly critical to China; i.e. the ability of YRB to produce crops boosted the difficulty of its water being replaced by water exporting from other basins.

Collective memory plays a controlling role in adaptation to potential flood risks, by learning from past disasters. Based on survey data, we suggest that using the Universal Decay Model (UDM) proposed by previous researchers provides better fitting results for the decay of flooding memory.

Our study demonstrated that network analysis could be one promising direction to untangle the complex SES and understand the relationship between SES structure and outcomes. We suggest comanaging the cross-boundary river and lands to further match the SES for basin sustainability.

黄河流域是全球受人类活动影响最深的大河流域之一。本项目采用社会-生态系统框架耦合自然与人文过程，加深对这一复杂巨系统的理解，支撑流域可持续发展。