Quantitative analysis and management of sustainable development of ecological water resources and digital financial system based on an intelligent algorithm

Abstract In the modern day, water is a crucial resource for advancing society and preserving ecological balance. Growth, which lessens poverty increases equality, often seen as inextricably linked to effective use of resources. Traditional system management aims optimize surface subsurface aquifers meet conflicting needs. As result, special difficulties in (WRM) would be exacerbated by added uncertainty brought on climatic change. Managing world's supplies sustainably planet's continued existence prosperity. However, planning sustainable development difficult because complex impacts, random processes, hydrological restrictions. The study was inspired address issues head-on creating hybrid AI algorithm sustainability digital finance (HAI-EWRS-DF) solving complex, multi-scale problems WRM. Control mechanisms, including social, financial, ground-level surface-level facilities, are recommended enhance WRM increase applicable revenue, promote community well-being, pave way greater economic development.