Compound heatwaves increasingly trigger complex cascading failures that propagate through interconnected physical and human systems, yet the fragmentation of disciplinary knowledge hinders the comprehensive mapping of these systemic risk topologies. This study introduces the Heatwave Discovery Agent HeDA as an autonomous scientific synthesis framework designed to bridge cognitive gaps by constructing a high fidelity knowledge graph from 8,111 academic publications. By structuring 70,297 evidence nodes, the system exhibits enhanced inferential fidelity in capturing long tail risk mechanisms and achieves a significant accuracy margin compared to standard foundation models including GPT 5.2 and Claude Sonnet 4.5 in complex reasoning tasks. The resulting topological analysis reveals a critical bio ecological mediation effect where biological systems function as the primary non linear amplifiers of thermal stress that transform physical meteorological hazards into systemic socioeconomic losses. We further identify latent functional couplings between theoretically distinct sectors such as the heat induced synchronization of power grid failures and emergency medical capacity saturation. These findings elucidate the dynamics of compound climate risks and provide an empirical basis for shifting adaptation strategies from static sectoral defense to dynamic cross system resilience.

翻译：复合热浪日益引发复杂的级联失效，这些失效通过相互关联的物理与人类系统传播，然而学科知识的碎片化阻碍了对这些系统性风险拓扑结构的全面测绘。本研究引入热浪发现智能体HeDA作为一个自主科学综合框架，旨在通过从8,111篇学术文献构建高保真知识图谱来弥合认知鸿沟。该系统通过结构化70,297个证据节点，在捕捉长尾风险机制方面展现出增强的推理保真度，并在复杂推理任务中相比包括GPT-5.2和Claude Sonnet 4.5在内的标准基础模型取得了显著精度优势。所得拓扑分析揭示了一个关键的生物生态中介效应，即生物系统作为热应力的主要非线性放大器，将物理气象灾害转化为系统性社会经济损失。我们进一步识别了理论层面不同部门之间的潜在功能耦合，例如热致电网故障与紧急医疗容量饱和的同步化现象。这些发现阐明了复合气候风险的动态机制，并为将适应策略从静态部门防御转向动态跨系统韧性提供了实证基础。