基于GF-1卫星WFV数据的潘家口水库水质参数遥感估算模型研究

为全面掌握潘家口水库水污染的真实状况,支撑库区近年来开展的水环境综合治理工作。本研究基于2016年10月11日高分一号卫星数据和实测数据,和潘家口水库30个实测水质样本,建立了叶绿素a和溶解氧的遥感估算模型,精度评价结果表明,叶绿素a和溶解氧估算模型总体平均相对误差为19.1%,可满足库区水质监测评估需要;试验期内根据遥感模拟结果发现,水库上游水质情况相对较好,中下游水质情况相对较差,库区水质情况与库区投饵网箱数量、周边生活污水排放量和工矿区污染源密切相关。本研究为库区水环境治理工作积累了一期关键的空间全覆盖的水质遥感监测成果,同时也可为未来库区水质业务化监测提供新的技术手段。

Water quality monitoring with GF1-WFV imagery in Panjiakou reservoir, Hebei province of China

In order to grasp the real situation of water pollution and provide scientific basis for the water environment treatment in Panjiakou reservoir. Based on 30 in situ measurements,this study designed experiments and developed the remote sensing models of Chlorophyll-a and dissolved oxygen with GF1-WFV imagery, which was achieved on October 11, 2016. These models can correctly reflect the spatial distribution of water quality in the study area. Accuracy assessment result showed that the overall relative error between the estimated concentration and in situ measurement was 19.1%, which can meet needs of water quality monitoring and evaluation. During the experiment, remote sensing simulation results showed that the water quality in the upper reaches of the reservoir was relatively good. Whereas, the water quality in the lower reaches of the reservoir was relatively poor. This study provided important result for the water environment treatment in the reservoir using the remote sensing technology. It also introduced a new technical approach for operational monitoring of water condition in the reservoir.