针对网箱养殖造成水体水质污染的问题,缺乏相应的进展研究。本文采用高分一号卫星数据。以某地区近年来成倍增长的网箱养殖区,利用实测的水质参数数据,构建了适用于该区域的总悬浮物浓度估算模型,通过总悬浮物浓度评价水体水质状况。通...针对网箱养殖造成水体水质污染的问题,缺乏相应的进展研究。本文采用高分一号卫星数据。以某地区近年来成倍增长的网箱养殖区,利用实测的水质参数数据,构建了适用于该区域的总悬浮物浓度估算模型,通过总悬浮物浓度评价水体水质状况。通过对模型精度进行评价表明,该模型平均相对误差为9.65%,均方根误差为0.33 mg/L。利用此模型对网箱养殖区2015年~2021年总悬浮物浓度进行了反演,分析了不同网箱体位置的总悬浮物浓度时空变化规律。研究发现,不同网箱体位置的悬浮物浓度变化趋势基本一致,网箱水体总悬浮物浓度未因养殖局部“圈定”现象出现较大异常。There is a lack of corresponding research progress on the problem of water quality pollution caused by cage aquaculture. This article uses data from Gaofen-1 satellite. A total suspended solids (TSS) concentration estimation model was constructed for a net cage aquaculture area that has grown exponentially in a certain region in recent years, using measured water quality parameter data. The water quality status was evaluated by TSS concentration. The evaluation of the model accuracy shows that the average relative error of the model is 9.65%, and the root mean square error is 0.33 mg/L. This model was used to invert the total suspended solids concentration in cage aquaculture areas from 2015 to 2021, and the spatiotemporal variation patterns of total suspended solids concentration at different positions of the cage were analyzed. Research has found that the trend of suspended solids concentration changes in different positions of the net cage is basically consistent, and the total suspended solids concentration in the net cage is not significantly abnormal due to the phenomenon of local “delineation” in aquaculture.展开更多
文摘针对网箱养殖造成水体水质污染的问题,缺乏相应的进展研究。本文采用高分一号卫星数据。以某地区近年来成倍增长的网箱养殖区,利用实测的水质参数数据,构建了适用于该区域的总悬浮物浓度估算模型,通过总悬浮物浓度评价水体水质状况。通过对模型精度进行评价表明,该模型平均相对误差为9.65%,均方根误差为0.33 mg/L。利用此模型对网箱养殖区2015年~2021年总悬浮物浓度进行了反演,分析了不同网箱体位置的总悬浮物浓度时空变化规律。研究发现,不同网箱体位置的悬浮物浓度变化趋势基本一致,网箱水体总悬浮物浓度未因养殖局部“圈定”现象出现较大异常。There is a lack of corresponding research progress on the problem of water quality pollution caused by cage aquaculture. This article uses data from Gaofen-1 satellite. A total suspended solids (TSS) concentration estimation model was constructed for a net cage aquaculture area that has grown exponentially in a certain region in recent years, using measured water quality parameter data. The water quality status was evaluated by TSS concentration. The evaluation of the model accuracy shows that the average relative error of the model is 9.65%, and the root mean square error is 0.33 mg/L. This model was used to invert the total suspended solids concentration in cage aquaculture areas from 2015 to 2021, and the spatiotemporal variation patterns of total suspended solids concentration at different positions of the cage were analyzed. Research has found that the trend of suspended solids concentration changes in different positions of the net cage is basically consistent, and the total suspended solids concentration in the net cage is not significantly abnormal due to the phenomenon of local “delineation” in aquaculture.
