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基于卫星遥感的合肥市环城河富营养化评价 被引量:5

Assessment of Nutrient Distribution in River Ring Using Satellite Remote Sensing
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摘要 富营养化是全世界河湖水体面临的一个重大问题,对水体水质的定期检测和建立适当的模型,在有效管理水体富营养化方面具有重要意义。研究的目的是建立城市景观水体水质反演模型并进行水体富营养化评价。以合肥市环城河为例,利用Landsat-8卫星影像波段反射率的,结合实地取样水质指标检测值,进行相关性分析,建立遥感反演模型。研究结果表明:①所建立的线性反演模型最优,能反映合肥环城河水体不同区域的营养分布,总氮、总磷、氨氮反演模型的拟合度分别达到了0.8230、0.6355、0.7928;②对环城河水体而言,与总氮、总磷、氨氮三种水质指标实测值相关性最好的波段是B3、B4波段;③从空间上看,环城河北段水体富营养化情况劣于南段,其原因是环城河北段处于繁华地段,加上水质受南淝河影响较大。 Eutrophication is a major problem in rivers and lakes all over the world.Regular monitoring of water quality and establishment of appropriate models are of great significance in the effective management of water eutrophication.The purpose of this study is to establish a remote sensing retrieval model for water quality and evaluate the nutrient distribution.of the Ring River.The mathematical model has been established by correlation analysis between the reflection value of Landsat-8 satellite images and the water quality values of field sampling.The results indicated that:①The linear model is the best,which can predict the nutrient distribution of the water body,and the fitting degree of the inversion models for total nitrogen,total phosphorus and ammonia nitrogen are 0.8230,0.6355 and 0.7928,respectively;②The best correlation between reflection and the measured values are band3 and band 4;③From the spatial perspective,the eutrophication level in the north of the Ring River is worse than the south,because it affected by surrounding environment that reside more population,and by the influx from South Fehe River which is polluted more seriously.
作者 张勇 詹宇 朱传华 周浩 杨晨 胡群林 徐广松 王思满 王慧 ZHANG Yong;ZHAN Yu;ZHU Chuan-hua;ZHOU Hao;YANG Chen;HU Qun-lin;XU Guang-song;WANG Si-man;WANG Hui(School of Enviroment and Energy Engineering,Anhui Jianzhu University,Hefei 230601,Anhui Province,China;Anhui Key Laboratory of environmental pollution control and waste resource utilization,Hefei 230601,Anhui Province,China)
出处 《中国农村水利水电》 北大核心 2021年第9期28-31,37,共5页 China Rural Water and Hydropower
基金 国家重点研发计划项目(2019YFC0408504) 中国科学院科技服务网络计划区域重点项目(KFJ-STS-QYZD-173) 安徽省教育厅高校自然科学重大项目(KJ2018ZD048)。
关键词 Landsat-8 遥感反演模型 富营养化 水质评价 Landsat-8 remote sensing retrieval model eutrophication water quality assessment
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