
Research on Water Resources Health Diagnosis and Environmental Management System for Carbon Neutrality Construction
DOI:
https://doi.org/10.30564/jees.v8i2.13055Abstract
Water resources health diagnosis is increasingly recognized as a critical tool. It should not only guide the preservation of water volume, quality, and ecological integrity but also assess the viability of carbon-neutral development pathways. But current research tends to consider water health assessment and carbon-neutrality planning as separate endeavors, which results in imprecise boundaries, disjointed metrics, and a weak linkage between diagnostic outcomes and testable management actions. This review brings together indicator systems, diagnostic systems, and environmental management systems architectures that make it possible to have integrated water-carbon governance. We define fundamental concepts and delimiting decisions followed by the examination of indicator designs across the hydrological regime, water quality, ecological integrity, service performance, resilience, and carbon-related measures, including intensity of energy/emissions, emissions caused by the watershed process of wastewater treatment, as well as the potential sink of the watershed. We compare diagnostic methods, such as composite indices and multi-criteria decision analysis, data-driven early-warning models, process-based and integrated simulations, as well as uncertainty-aware robustness models. Here, based on this synthesis, we suggest an environmental management systems (EMS)-based pathway, which connects the setting of the baseline, the diagnosis, the design of the intervention portfolio, and the measurement-reporting-verification into the closed-loop adaptive cycle. Digital enablement, comprising Internet of Things (IoT) monitoring, remote sensing, data fusion, optimization, and digital twins, is considered a viable way of scaling implementation, subject to interoperability, validation, and model governance. Among the major gaps, there are causal attribution to outcomes, cross-scale coupling of facility emissions and basin health, propagation of uncertainty in a coupled model, and credible Measurement, Reporting, and Verification (MRV) of non-CO2 gases and nature-based removals. The review gives a roadmap to normalize core metrics and fast-deployable systems to protect the health of the water resources and give verifiable progress towards carbon neutrality.
Keywords:
Water Resources Health; Carbon Neutrality; Environmental Management System; MRV; Digital TwinReferences
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