AI-Driven Ecological Economic Evaluation System for Habitat Restoration of Disturbed Estuarine Waterway Environment

Rumeng Bu

doi:10.62177/apemr.v3i7.1713

Authors

Rumeng Bu CCCC Tianjin Dredging Co., Ltd.

DOI:

https://doi.org/10.62177/apemr.v3i7.1713

Keywords:

Estuarine Waterway, Disturbed Habitat, Habitat Restoration, Evaluation System, Performance Assessment

Abstract

Estuarine waterways are important coastal ecological corridors that have long been affected by human activities such as shipping, water conservancy construction and reclamation, resulting in varying degrees of damage to their original habitats. To objectively assess the ecological restoration effect of disturbed estuarine waterways and provide scientific decision support for ecological management, this paper constructs an AI-driven ecological economic evaluation system for habitat restoration of disturbed estuarine waterway environment. This system integrates multi-source ecological monitoring data and socioeconomic data, and uses artificial intelligence algorithms to achieve automatic analysis and quantitative evaluation of restoration effects. Compared with the traditional manual evaluation method, the system constructed in this paper significantly improves the evaluation efficiency and result accuracy, and can provide targeted optimization suggestions for the implementation of habitat restoration projects in disturbed estuarine waterways.

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