【摘 要】
：
基于高分一号卫星影像遥感数据和水库水质实测数据,利用随机森林回归算法建立遥感反射率与总氮浓度的定量反演模型,以获取东风水库总氮浓度的时空分布情况,进而对水库总氮污染情况进行分析.结果 表明,总氮反演模型精度较高,决定系数R2为0.879,均方根误差为0.169 mg/L,但仍有提升空间.将模型运用于2016-2018年GF-1 WFV影像遥感数据,反演得到东风水库总氮浓度时空分布情况.结果 表明,2016年水库总氮浓度呈波动性变化,2017-2018年除个别月份外,水库总氮浓度整体呈下降趋势.从水质标准来
【机 构】
：
中国环境科学研究院环境管理研究中心,北京 100012;新疆大学资源与环境科学学院,新疆 乌鲁木齐 830046
论文部分内容阅读
基于高分一号卫星影像遥感数据和水库水质实测数据,利用随机森林回归算法建立遥感反射率与总氮浓度的定量反演模型,以获取东风水库总氮浓度的时空分布情况,进而对水库总氮污染情况进行分析.结果 表明,总氮反演模型精度较高,决定系数R2为0.879,均方根误差为0.169 mg/L,但仍有提升空间.将模型运用于2016-2018年GF-1 WFV影像遥感数据,反演得到东风水库总氮浓度时空分布情况.结果 表明,2016年水库总氮浓度呈波动性变化,2017-2018年除个别月份外,水库总氮浓度整体呈下降趋势.从水质标准来看,水库总氮浓度介于Ⅲ～Ⅴ类水质标准,且存在富营养化风险.从不同季节变化情况来看,春冬季总氮浓度较高,夏秋季浓度较低.从空间差异性来看,区域变化规律性不太明显.
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