基于知识图谱的火星季节性斜坡纹线时空特征分析

打开文本图片集

中图分类号：P691 文献标志码：A

Abstract： Spatiotemporal analysis of recurring slope lineae （RSL） heavily relies on the effective integration and correlation mining of multi-source heterogeneous data to provide a reliable scientific basis for understanding RSL formation mechanisms. Based on this，an RSL knowledge graph covering the Coprates and Melas Chasma within the Valles Marineris canyon system was constructed using the Neo4j graph database， with HiRISE（high resolution imaging science experiment） high-resolution remotesensing images as the primary data source. Subsequently，key topographic and seasonal factors controlling RSL distribution were identified through graph queries and spatiotemporal correlation analysis. Furthermore，a quantitative relationship model between RSL activity，slope aspect，and solar longitude was established. Based on 364 time-series images from l0l RSL sites，the spatiotemporal distribution patterns of RSL were systematically analyzed. Finally，by integrating previous observational results and climate event records，the effectiveness of the constructed knowledge graph in revealing RSL spatiotemporal characteristics was validated. The results indicate that RSL distribution exhibits a significant westward preference，and seasonal activity is closely coupled with slope aspect，forming an alternating intra-annual activation pattern. Folowing the MY34 global dust storm，RSL activity was observed on allslope aspects in Garni Crater，marking a stark contrast to previous years when activity was limited to specific aspects， confirming the significant impact of climatic events on RSL scale.

Key words： Mars; recurring slope lineae （RSL）; knowledge graph； spatiotemporal characteristics; seasonal factors;climate events

0 引言

火星作为太阳系内与地球最为相似的行星[1]，一直以来都是行星科学研究的焦点。（剩余18237字）