摘要
有色溶解有机物(colored dissolved organic matter,CDOM)在水生态系统中发挥着重要作用,影响着河流营养物的循环与污染物质的迁移。针对喀斯特地区芙蓉江流域CDOM进行遥感反演,结合地面实测数据和Sentinel⁃2A遥感影像,采用AdaBoost算法与LIME算法构建CDOM反演模型。结果表明,模型反演精度较高,测试集R^(2)为0.86,RMSE为0.495/m。CDOM在旱季和雨季具有空间分异性,其中雨季CDOM吸光系数普遍高于旱季。此外,基于可解释性技术揭示了不同的波段比值特征对模型反演的贡献差异,研究发现波段比值B4/B3、B6/B4及B5/B2对模型反演的影响较大。旱季与雨季CDOM受驱动因素影响作用不同,较高的气温和较少的降水量易导致CDOM吸光系数降低,土地利用对河流CDOM影响显著,人口密度与CDOM的负相关可能与该区域地下水系统的稀释作用及环保措施相关。
Colored dissolved organic matter(CDOM)plays a crucial role in aquatic ecosystems,influencing the cycling of nutrients and the transport of pollutants in water bodies.This study focused on the remote sensing inversion of CDOM in the Furong River Basin,a karst area,utilizing in⁃situ data and Sentinel⁃2A remote sensing imagery.The CDOM inversion model was constructed using AdaBoost and Local Interpretable Model⁃agnostic Explanations(LIME)algorithms.The results exhibited that the model has high inversion accuracy,with an R^(2) of 0.86 and an RMSE of 0.495/m for the test⁃set.There was spatial variability in CDOM between the dry and wet seasons,with a higher absorption coefficient generally observed during the wet season.Additionally,interpretable technology revealed the contribution differences of various band ratios to the model inversion,with band ratios B4/B3,B6/B4,and B5/B2 having a substantial impact.The study also found that different driving factors affect CDOM in different seasons,higher temperatures and lower precipitation tend to reduce CDOM,land use significantly impacted river CDOM,and the negative correlation between population density and CDOM may be related to the dilution effect of the regional groundwater system and environmental protection measures.
作者
丁悦凯
刘睿
张静
DING Yuekai;LIU Rui;ZHANG Jing(School of Geography and Tourism,Chongqing Normal University,Chongqing 401331,China;Chongqing Key Laboratory of GIS Application,Chongqing Normal University,Chongqing 401331,China)
出处
《生态学报》
北大核心
2025年第16期7970-7980,共11页
Acta Ecologica Sinica
基金
国家自然科学基金项目(42407094)
重庆市自然科学基金项目(2024NSCQ⁃MSX3061)
重庆市教委科学技术研究计划项目(KJQN202200517)
重庆师范大学基金项目(20XLB022)。
