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Civilisational Basin Dynamics: A Unified Framework for Long Range Water Security Prediction

Domain:

environment and energyclimate

Record type:

model
Creator:
Joh
Publisher:
Zenodo
Host:avatar

Water systems are emerging as critical determinants of economic stability, political coherence, and societal resilience in the 21st century. Yet current water‑risk methodologies remain fragmented, separating hydrology, governance, climate variability, and societal response into isolated analytical domains. This paper introduces the Civilisational Basin Dynamics Framework, a unified predictive model that integrates Deep Time Basin Intelligence—a multi‑century reconstruction of hydrological and civilisational patterns—with Basin Collapse Sequencing, a short‑ to medium‑range model that maps the order in which basin components fail and the governance and societal outcomes associated with each stage.

The framework is applied across basins in Southern Africa, SADC, Europe, and the Mexico–American arid corridor, including the Integrated Vaal River System, Orange‑Senqu, Limpopo, Zambezi, Tagus, Guadiana, Douro, Ebro, and the Rio Grande–Colorado system. Micro‑basin applications in Gauteng (IVRS) and eThekwini (uMngeni) demonstrate scalability to metropolitan and sub‑regional systems. Results show that basin instability follows structured, recurring sequences; governance responses under hydrological stress are predictable across political systems; and societal outcomes such as migration, food‑price volatility, cultural fragmentation, and institutional strain can be forecasted by identifying a basin’s current collapse stage and its likely next transition.

The Civilisational Basin Dynamics Framework positions water security as a civilisational forecasting problem, offering water authorities, basin managers, resilience planners, and sovereign‑risk bodies a new class of intelligence that integrates deep‑time pattern recognition with operational failure sequencing. The paper concludes with methodological limitations and opportunities for expansion, including AI‑driven pattern detection, integration with climate‑risk platforms, and global basin‑scale validation.

Visit

doi.org

Languages

NdasaTonga

Tags

water securitybasin dynamicshydrological modellinggovernance stresscivilisational collapsedeep time basin intelligencebasin collapse sequencingpredictive modellingclimate riskmigration and water stress+4

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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