A historical search-guided evolutionary framework for dynamic multiobjective optimization

A unified multiscale framework for stress-Based topology optimization using local constraint enforcement

An explainable resilience-informed framework for surrogate modeling and multi-objective optimization of embankments under seismic loading

A data-driven interpretable framework for multi-objective optimization: Decoupling thermodynamic and economic constraints in cold-region rural dwelling retrofits

An enhanced MADDPG framework for joint energy and QoS optimization in UAV-assisted vehicular edge computing system

GRASFormer: A computational framework for gradient-regularized and entropy-stabilized multi-task transformer optimization

Source-transport-sink integration framework for collaborative energy-carbon optimization in the steel sintering process

This study develops and validates a real-time carbon monitoring framework that integrates automated meteorological data with operational construction logs to enhance environmental impact assessment (EIA) methodology for tropical infrastructure projects. Leveraging 2332 h of synchronized climate–operational data from a reinforced-concrete sluice gate project in Thailand, the framework addresses critical gaps in carbon governance for medium-scale irrigation construction, a sector underrepresented in current EIA literature yet vital to climate adaptation in emerging economies. Three machine learning models (artificial neural networks, random forest, and extreme gradient boosting) were used to capture complex emission patterns. Under the tested monsoon scenarios, all models achieved high predictive fidelity (R 2 = 0.997–0.998) with low normalized errors (mean absolute scaled error < 0.05). The framework demonstrated 5 %–30 % potential emission reduction across operational–climatic scenarios, confirming its robustness for tropical infrastructure management and showing robust cross-algorithm consensus. Feature importance analysis highlighted embodied carbon in concrete (59.7 %) and steel reinforcement (24.8 %) as the primary emission sources, while environmental conditions emerged as influential factors. Furthermore, lower embodied‑carbon levels were observed during operational periods under ambient temperatures below 28 °C. The framework facilitates climate-responsive construction planning via real-time emission forecasting, scenario testing, and adaptive resource optimization. A three-tier implementation strategy encompassing climate-adaptive material scheduling, climate-responsive planning, and scenario-based emission testing demonstrates 5 %–30 % reduction potential while accommodating the technological constraints of tropical developing economies. This approach advances EIA methodology from retrospective assessment toward predictive, climate-responsive decision support, offering a scalable framework for integrating real-time carbon management into digital EIA platforms and aiding national net-zero infrastructure goals. • Comparative AI (XGBoost/ANN/RF) for site-level CO₂e in tropical irrigation. • 2332 hourly records; R 2 ≈ 0.99 for real-time CO₂e prediction from field logs. • Concrete 59.7 % + steel 24.8 % dominate; prioritize material actions. • Periods <28 °C associated with lower concrete/steel-related emissions. • Scenario tests indicate ∼14 % CO₂e reduction via optimized practices.

Extended discrete material optimization: A generalized framework for multi-material topology optimization of nonlinear material constitutive models

A multi-model collaborative optimization framework for compound modification of helical gears considering angular misalignment errors

A life-cycle cost-based optimization framework for seismic design of structures using FEMA P-58 and the SAR algorithm

A bi-level geometrical optimization framework for tailoring kinetostatic behavior of compliant bistable mechanisms

Multi-objective optimization framework for cropping structure based on water-carbon-economy nexus: Large-scale case study in Northeast China

A lightweight CNN-ISO collaborative optimization framework addressing high-dimensional redundancy and class imbalance in rolling bearing fault diagnosis

Study Region: Taiwan’s six major municipalities face pronounced wet–dry seasonal contrasts and rely heavily on monsoon-driven inflows to sustain year-round supply. Despite high annual precipitation, the uneven temporal distribution, concentration of storage in a few key reservoirs, and the strong role of agricultural withdrawals create recurrent drought risks. These conditions make the region an effective setting for operationalizing water-security assessment. Study Focus: Water security has been widely framed from a global or continental perspective, but applying this broad concept to regional-scale drought management requires more operational clarity. This study develops a context-sensitive analytical framework to address this need. Building on Hashimoto’s (1982) concepts, two indicators are formulated—annual reliability based on sector-specific tolerance thresholds and the maximum annual deficit in percent-days. An integrated simulation–optimization model is developed to quantify these indices, explicitly representing policy-driven allocation priorities. New Hydrological Insights for the Region: Results reveal prototypical spatial patterns: frequent but manageable shortages in the north, rare but severe deficits in central Taiwan, and both frequent and severe events in the south. The framework also identifies conditions under which optimal management fails and quantifies the backup water required for drought resilience in reservoir-dependent regions.

Harnessing urban 5G base station mega-clusters for grid flexibility: A coordinated optimization framework

Towards fairness and low-carbon operation of energy hub: A multi-objective optimization framework with energy–carbon bidirectional coupling and heterogeneous uncertainties

Spectrum-anchored dimensionless optimization framework of a nonlinear energy sink with inerter (NESI) sky corridor for seismic mitigation of adjacent buildings

Optimizing urban forest spatial patterns to mitigate SUHII in Megacities: A multi-scale optimization framework coupling adjacent thermal effects

A modified time increment Monte Carlo based optimization framework for PSD dynamics in poly(methyl) methacrylate suspension polymerization