世界核地质科学2025，Vol.42Issue(2)：360-373,14.
基于高分二号遥感数据的黑臭水体识别和氨氮反演研究
Identification of black odorous water bodies and NH3-N inversion study based on Gaofen-2 remote sensing data
摘要
Abstract
With the continuous promotion of government departments in water pollution prevention and control,the water environment has seen a substantial improvement,but the water bodies near pollution sources such as industrial zones and livestock and poultry farms are still prone to be black and odorous.How to identify these black stinking water bodies with excessive ammonia and nitrogen content is an urgent problem.30 black stinky water bodies with excessive ammonia nitrogen were collected and assayed to study the identification inversion method for Gaofen-2 remote sensing data.By combining multiple band ratio and threshold segmentation algorithms,a combination algorithms applicable to the study area was obtained to identify the stinky water body and black stinky water by the correlating band ratio and the measured ammonia nitrogen.With the combination algorithms,ammonia nitrogen content of black smelly water bodies was inversed to identify the spatial distribution so as to discover the suspected sewage point position.The results were showed as the following:1)BOCI,WCI,FUI and e4 algorithms had a high separability between black smelly water bodies and general water bodies,the mean value combination of BOCI-OSTU and BOCI had the best segmentation effect on the samples of the prediction set while BOCI played the most stable role among the threshold algorithms;2)BOCI-OSTU,BOCI-mean value and WCI-Minimum are relatively effective in identifying black stinking water bodies;3)the BOI and G-R algorithms have the highest correlation of measured ammonia nitrogen values to the decision coefficients at 0.6 and 0.58 respectively;4)The ammonia nitrogen inversion was performed on three ditches within the study area using the BOI algorithm,and the ammonia nitrogen spatial distribution maps were obtained to present the suspected discharge locations.Therefore,this technique can provide efficient black stinky water body investigation service for government departments and technical support for ecological environment improvement.关键词
黑臭水体/高分二号遥感数据/氨氮/波段比值/阈值Key words
black odorous waters/Gaofen-2 remote sensing data/ammonia nitrogen/band ratio/thresholds分类
信息技术与安全科学引用本文复制引用
卢辉雄,李启亮,薛庆,张策,孙永彬,韩少飞,牛海威..基于高分二号遥感数据的黑臭水体识别和氨氮反演研究[J].世界核地质科学,2025,42(2):360-373,14.基金项目
河北省航空探测与遥感技术重点实验室科研项目"基于高分遥感的黑臭水体研究"(编号:202418) Supported by Research on Black and Odorous Waters Based on High-Resolution Remote Sensing (No.202418) （编号:202418）
