Eco-Environmental Carrying Capacity and Multi-Objective Water Resource Dispatching in Industrial Parks Under Climate Dynamics

Abstract

Simulating the eco-environmental carrying capacity and flexible water resource dispatching within coastal industrial complexes under escalating global climate change requires a meticulous harmonization of macro-meteorological projections and granular industrial hydro-dynamics. This paper presents an integrated multi-objective simulation framework that attempts to link local climate projections of tropical cyclone boundary fields with industrial wastewater regulatory parameter models. In executing our initial multi-objective optimization algorithms across transnational manufacturing sites, our idealized linear hydrodynamic models collapsed when subjected to extreme, non-linear precipitation variations, forcing an operational pivot toward blind-number ecological risk evaluation methods to accommodate epistemic uncertainty. The resulting data suggest that while process parameter adjustments stabilize water conservation metrics to some extent, alternative interpretations indicate these improvements may be highly contingent on localized boundary conditions, potentially introducing spatial biases under atypical seasonal shifts. Considering these highly entangled variables, the framework demonstrates that industrial ecological carrying capacity cannot be computed as a static threshold but must be managed as a fluid operational vector. While our adaptive modeling framework offers a viable mechanism for mitigating industrial eco-risks, further research is needed to refine downscaling algorithms against long-term macro-climatic anomalies.